iVOD / 16995

Field Value
IVOD_ID 16995
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16995
日期 2025-10-30
會議資料.會議代碼 委員會-11-4-23-4
會議資料.會議代碼:str 第11屆第4會期交通委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 4
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第4會期交通委員會第4次全體委員會議
影片種類 Full
開始時間 2025-10-30T08:34:28+08:00
結束時間 2025-10-30T13:29:00+08:00
影片長度 04:54:32
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302ddeb9b513302bbc70342a6346f1e820790c15c146824155546c4762c482447eb4f5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-10-30T09:00:00+08:00
會議名稱 立法院第11屆第4會期交通委員會第4次全體委員會議(事由:一、邀請交通部部長及交通部觀光署署長就「900萬國際旅客達標情形及旅宿業歇業缺工情形振興改善措施」進行專題報告,並備質詢。 二、邀請交通部部長及交通部觀光署署長就「配合賴清德總統所提『國家希望工程』與『觀光立國2030年觀光兆元產業』等目標如何務實達成」進行專題報告,並備質詢。 【10月27日、29日及30日三天一次會】)
委員名稱 完整會議
委員發言時間 08:34:28 - 13:29:00
transcript.pyannote[0].speaker SPEAKER_31
transcript.pyannote[0].start 1527.91034375
transcript.pyannote[0].end 1534.44096875
transcript.pyannote[1].speaker SPEAKER_31
transcript.pyannote[1].start 1535.16659375
transcript.pyannote[1].end 1537.54596875
transcript.pyannote[2].speaker SPEAKER_31
transcript.pyannote[2].start 1538.86221875
transcript.pyannote[2].end 1541.15721875
transcript.pyannote[3].speaker SPEAKER_31
transcript.pyannote[3].start 1543.73909375
transcript.pyannote[3].end 1544.19471875
transcript.pyannote[4].speaker SPEAKER_31
transcript.pyannote[4].start 1544.48159375
transcript.pyannote[4].end 1547.29971875
transcript.pyannote[5].speaker SPEAKER_31
transcript.pyannote[5].start 1549.15596875
transcript.pyannote[5].end 1551.73784375
transcript.pyannote[6].speaker SPEAKER_31
transcript.pyannote[6].start 1553.44221875
transcript.pyannote[6].end 1556.81721875
transcript.pyannote[7].speaker SPEAKER_31
transcript.pyannote[7].start 1558.97721875
transcript.pyannote[7].end 1562.43659375
transcript.pyannote[8].speaker SPEAKER_31
transcript.pyannote[8].start 1564.02284375
transcript.pyannote[8].end 1567.31346875
transcript.pyannote[9].speaker SPEAKER_31
transcript.pyannote[9].start 1569.47346875
transcript.pyannote[9].end 1571.53221875
transcript.pyannote[10].speaker SPEAKER_31
transcript.pyannote[10].start 1573.08471875
transcript.pyannote[10].end 1585.13346875
transcript.pyannote[11].speaker SPEAKER_31
transcript.pyannote[11].start 1585.87596875
transcript.pyannote[11].end 1592.44034375
transcript.pyannote[12].speaker SPEAKER_13
transcript.pyannote[12].start 1592.44034375
transcript.pyannote[12].end 1592.45721875
transcript.pyannote[13].speaker SPEAKER_31
transcript.pyannote[13].start 1592.45721875
transcript.pyannote[13].end 1592.52471875
transcript.pyannote[14].speaker SPEAKER_31
transcript.pyannote[14].start 1593.06471875
transcript.pyannote[14].end 1593.63846875
transcript.pyannote[15].speaker SPEAKER_31
transcript.pyannote[15].start 1595.02221875
transcript.pyannote[15].end 1605.58596875
transcript.pyannote[16].speaker SPEAKER_31
transcript.pyannote[16].start 1605.94034375
transcript.pyannote[16].end 1608.91034375
transcript.pyannote[17].speaker SPEAKER_31
transcript.pyannote[17].start 1609.31534375
transcript.pyannote[17].end 1612.52159375
transcript.pyannote[18].speaker SPEAKER_31
transcript.pyannote[18].start 1612.85909375
transcript.pyannote[18].end 1615.37346875
transcript.pyannote[19].speaker SPEAKER_08
transcript.pyannote[19].start 1622.79846875
transcript.pyannote[19].end 1627.50659375
transcript.pyannote[20].speaker SPEAKER_08
transcript.pyannote[20].start 1627.57409375
transcript.pyannote[20].end 1656.07596875
transcript.pyannote[21].speaker SPEAKER_08
transcript.pyannote[21].start 1656.27846875
transcript.pyannote[21].end 1672.66409375
transcript.pyannote[22].speaker SPEAKER_08
transcript.pyannote[22].start 1673.15346875
transcript.pyannote[22].end 1682.72159375
transcript.pyannote[23].speaker SPEAKER_08
transcript.pyannote[23].start 1683.17721875
transcript.pyannote[23].end 1685.38784375
transcript.pyannote[24].speaker SPEAKER_08
transcript.pyannote[24].start 1685.74221875
transcript.pyannote[24].end 1690.41659375
transcript.pyannote[25].speaker SPEAKER_08
transcript.pyannote[25].start 1690.66971875
transcript.pyannote[25].end 1704.27096875
transcript.pyannote[26].speaker SPEAKER_08
transcript.pyannote[26].start 1704.59159375
transcript.pyannote[26].end 1715.91471875
transcript.pyannote[27].speaker SPEAKER_08
transcript.pyannote[27].start 1716.15096875
transcript.pyannote[27].end 1719.35721875
transcript.pyannote[28].speaker SPEAKER_08
transcript.pyannote[28].start 1719.69471875
transcript.pyannote[28].end 1738.62846875
transcript.pyannote[29].speaker SPEAKER_08
transcript.pyannote[29].start 1738.89846875
transcript.pyannote[29].end 1743.62346875
transcript.pyannote[30].speaker SPEAKER_08
transcript.pyannote[30].start 1743.82596875
transcript.pyannote[30].end 1756.56659375
transcript.pyannote[31].speaker SPEAKER_34
transcript.pyannote[31].start 1778.08221875
transcript.pyannote[31].end 1781.69346875
transcript.pyannote[32].speaker SPEAKER_34
transcript.pyannote[32].start 1781.99721875
transcript.pyannote[32].end 1783.56659375
transcript.pyannote[33].speaker SPEAKER_34
transcript.pyannote[33].start 1784.51159375
transcript.pyannote[33].end 1786.08096875
transcript.pyannote[34].speaker SPEAKER_34
transcript.pyannote[34].start 1786.28346875
transcript.pyannote[34].end 1790.55284375
transcript.pyannote[35].speaker SPEAKER_34
transcript.pyannote[35].start 1791.09284375
transcript.pyannote[35].end 1794.01221875
transcript.pyannote[36].speaker SPEAKER_34
transcript.pyannote[36].start 1794.55221875
transcript.pyannote[36].end 1801.94346875
transcript.pyannote[37].speaker SPEAKER_34
transcript.pyannote[37].start 1802.51721875
transcript.pyannote[37].end 1805.36909375
transcript.pyannote[38].speaker SPEAKER_34
transcript.pyannote[38].start 1805.65596875
transcript.pyannote[38].end 1806.61784375
transcript.pyannote[39].speaker SPEAKER_34
transcript.pyannote[39].start 1807.19159375
transcript.pyannote[39].end 1809.35159375
transcript.pyannote[40].speaker SPEAKER_34
transcript.pyannote[40].start 1809.62159375
transcript.pyannote[40].end 1817.62034375
transcript.pyannote[41].speaker SPEAKER_34
transcript.pyannote[41].start 1817.92409375
transcript.pyannote[41].end 1821.34971875
transcript.pyannote[42].speaker SPEAKER_34
transcript.pyannote[42].start 1821.73784375
transcript.pyannote[42].end 1848.31596875
transcript.pyannote[43].speaker SPEAKER_34
transcript.pyannote[43].start 1848.38346875
transcript.pyannote[43].end 1849.73346875
transcript.pyannote[44].speaker SPEAKER_34
transcript.pyannote[44].start 1849.93596875
transcript.pyannote[44].end 1852.61909375
transcript.pyannote[45].speaker SPEAKER_34
transcript.pyannote[45].start 1853.22659375
transcript.pyannote[45].end 1857.69846875
transcript.pyannote[46].speaker SPEAKER_15
transcript.pyannote[46].start 1857.69846875
transcript.pyannote[46].end 1857.91784375
transcript.pyannote[47].speaker SPEAKER_34
transcript.pyannote[47].start 1858.42409375
transcript.pyannote[47].end 1865.44409375
transcript.pyannote[48].speaker SPEAKER_34
transcript.pyannote[48].start 1866.23721875
transcript.pyannote[48].end 1872.70034375
transcript.pyannote[49].speaker SPEAKER_34
transcript.pyannote[49].start 1872.98721875
transcript.pyannote[49].end 1874.26971875
transcript.pyannote[50].speaker SPEAKER_34
transcript.pyannote[50].start 1874.35409375
transcript.pyannote[50].end 1875.02909375
transcript.pyannote[51].speaker SPEAKER_34
transcript.pyannote[51].start 1875.70409375
transcript.pyannote[51].end 1883.48346875
transcript.pyannote[52].speaker SPEAKER_34
transcript.pyannote[52].start 1884.14159375
transcript.pyannote[52].end 1890.72284375
transcript.pyannote[53].speaker SPEAKER_34
transcript.pyannote[53].start 1890.92534375
transcript.pyannote[53].end 1892.74784375
transcript.pyannote[54].speaker SPEAKER_34
transcript.pyannote[54].start 1893.18659375
transcript.pyannote[54].end 1897.37159375
transcript.pyannote[55].speaker SPEAKER_34
transcript.pyannote[55].start 1897.96221875
transcript.pyannote[55].end 1903.12596875
transcript.pyannote[56].speaker SPEAKER_34
transcript.pyannote[56].start 1903.49721875
transcript.pyannote[56].end 1916.94659375
transcript.pyannote[57].speaker SPEAKER_34
transcript.pyannote[57].start 1917.23346875
transcript.pyannote[57].end 1923.96659375
transcript.pyannote[58].speaker SPEAKER_34
transcript.pyannote[58].start 1924.23659375
transcript.pyannote[58].end 1924.94534375
transcript.pyannote[59].speaker SPEAKER_34
transcript.pyannote[59].start 1925.99159375
transcript.pyannote[59].end 1927.94909375
transcript.pyannote[60].speaker SPEAKER_34
transcript.pyannote[60].start 1928.13471875
transcript.pyannote[60].end 1937.17971875
transcript.pyannote[61].speaker SPEAKER_34
transcript.pyannote[61].start 1937.34846875
transcript.pyannote[61].end 1942.36034375
transcript.pyannote[62].speaker SPEAKER_34
transcript.pyannote[62].start 1942.78221875
transcript.pyannote[62].end 1951.67534375
transcript.pyannote[63].speaker SPEAKER_34
transcript.pyannote[63].start 1952.01284375
transcript.pyannote[63].end 1953.07596875
transcript.pyannote[64].speaker SPEAKER_34
transcript.pyannote[64].start 1953.19409375
transcript.pyannote[64].end 1955.33721875
transcript.pyannote[65].speaker SPEAKER_34
transcript.pyannote[65].start 1955.64096875
transcript.pyannote[65].end 1963.99409375
transcript.pyannote[66].speaker SPEAKER_34
transcript.pyannote[66].start 1964.31471875
transcript.pyannote[66].end 1965.90096875
transcript.pyannote[67].speaker SPEAKER_34
transcript.pyannote[67].start 1966.27221875
transcript.pyannote[67].end 1990.09971875
transcript.pyannote[68].speaker SPEAKER_34
transcript.pyannote[68].start 1991.23034375
transcript.pyannote[68].end 1994.85846875
transcript.pyannote[69].speaker SPEAKER_34
transcript.pyannote[69].start 1994.90909375
transcript.pyannote[69].end 1996.52909375
transcript.pyannote[70].speaker SPEAKER_34
transcript.pyannote[70].start 1997.62596875
transcript.pyannote[70].end 2001.67596875
transcript.pyannote[71].speaker SPEAKER_34
transcript.pyannote[71].start 2001.87846875
transcript.pyannote[71].end 2003.32971875
transcript.pyannote[72].speaker SPEAKER_34
transcript.pyannote[72].start 2003.44784375
transcript.pyannote[72].end 2007.48096875
transcript.pyannote[73].speaker SPEAKER_34
transcript.pyannote[73].start 2008.39221875
transcript.pyannote[73].end 2016.01971875
transcript.pyannote[74].speaker SPEAKER_34
transcript.pyannote[74].start 2016.28971875
transcript.pyannote[74].end 2017.15034375
transcript.pyannote[75].speaker SPEAKER_34
transcript.pyannote[75].start 2017.67346875
transcript.pyannote[75].end 2021.55471875
transcript.pyannote[76].speaker SPEAKER_34
transcript.pyannote[76].start 2021.89221875
transcript.pyannote[76].end 2044.30221875
transcript.pyannote[77].speaker SPEAKER_34
transcript.pyannote[77].start 2044.96034375
transcript.pyannote[77].end 2046.00659375
transcript.pyannote[78].speaker SPEAKER_34
transcript.pyannote[78].start 2047.20471875
transcript.pyannote[78].end 2060.75534375
transcript.pyannote[79].speaker SPEAKER_34
transcript.pyannote[79].start 2060.90721875
transcript.pyannote[79].end 2062.62846875
transcript.pyannote[80].speaker SPEAKER_34
transcript.pyannote[80].start 2063.21909375
transcript.pyannote[80].end 2066.29034375
transcript.pyannote[81].speaker SPEAKER_34
transcript.pyannote[81].start 2066.56034375
transcript.pyannote[81].end 2067.20159375
transcript.pyannote[82].speaker SPEAKER_34
transcript.pyannote[82].start 2067.99471875
transcript.pyannote[82].end 2069.95221875
transcript.pyannote[83].speaker SPEAKER_34
transcript.pyannote[83].start 2070.91409375
transcript.pyannote[83].end 2084.70096875
transcript.pyannote[84].speaker SPEAKER_34
transcript.pyannote[84].start 2086.10159375
transcript.pyannote[84].end 2093.25659375
transcript.pyannote[85].speaker SPEAKER_34
transcript.pyannote[85].start 2093.72909375
transcript.pyannote[85].end 2095.56846875
transcript.pyannote[86].speaker SPEAKER_34
transcript.pyannote[86].start 2095.61909375
transcript.pyannote[86].end 2097.52596875
transcript.pyannote[87].speaker SPEAKER_34
transcript.pyannote[87].start 2097.86346875
transcript.pyannote[87].end 2116.59471875
transcript.pyannote[88].speaker SPEAKER_34
transcript.pyannote[88].start 2116.84784375
transcript.pyannote[88].end 2118.45096875
transcript.pyannote[89].speaker SPEAKER_34
transcript.pyannote[89].start 2118.85596875
transcript.pyannote[89].end 2123.74971875
transcript.pyannote[90].speaker SPEAKER_34
transcript.pyannote[90].start 2124.50909375
transcript.pyannote[90].end 2131.69784375
transcript.pyannote[91].speaker SPEAKER_34
transcript.pyannote[91].start 2132.18721875
transcript.pyannote[91].end 2139.84846875
transcript.pyannote[92].speaker SPEAKER_34
transcript.pyannote[92].start 2139.98346875
transcript.pyannote[92].end 2141.90721875
transcript.pyannote[93].speaker SPEAKER_34
transcript.pyannote[93].start 2142.17721875
transcript.pyannote[93].end 2152.03221875
transcript.pyannote[94].speaker SPEAKER_34
transcript.pyannote[94].start 2153.78721875
transcript.pyannote[94].end 2157.44909375
transcript.pyannote[95].speaker SPEAKER_34
transcript.pyannote[95].start 2158.17471875
transcript.pyannote[95].end 2160.40221875
transcript.pyannote[96].speaker SPEAKER_34
transcript.pyannote[96].start 2160.58784375
transcript.pyannote[96].end 2163.64221875
transcript.pyannote[97].speaker SPEAKER_34
transcript.pyannote[97].start 2163.87846875
transcript.pyannote[97].end 2166.79784375
transcript.pyannote[98].speaker SPEAKER_34
transcript.pyannote[98].start 2167.48971875
transcript.pyannote[98].end 2180.73659375
transcript.pyannote[99].speaker SPEAKER_34
transcript.pyannote[99].start 2181.29346875
transcript.pyannote[99].end 2182.71096875
transcript.pyannote[100].speaker SPEAKER_34
transcript.pyannote[100].start 2183.89221875
transcript.pyannote[100].end 2198.15159375
transcript.pyannote[101].speaker SPEAKER_34
transcript.pyannote[101].start 2199.13034375
transcript.pyannote[101].end 2205.57659375
transcript.pyannote[102].speaker SPEAKER_34
transcript.pyannote[102].start 2205.94784375
transcript.pyannote[102].end 2215.48221875
transcript.pyannote[103].speaker SPEAKER_34
transcript.pyannote[103].start 2215.85346875
transcript.pyannote[103].end 2219.07659375
transcript.pyannote[104].speaker SPEAKER_34
transcript.pyannote[104].start 2219.41409375
transcript.pyannote[104].end 2223.56534375
transcript.pyannote[105].speaker SPEAKER_34
transcript.pyannote[105].start 2223.70034375
transcript.pyannote[105].end 2224.49346875
transcript.pyannote[106].speaker SPEAKER_34
transcript.pyannote[106].start 2224.72971875
transcript.pyannote[106].end 2235.86721875
transcript.pyannote[107].speaker SPEAKER_34
transcript.pyannote[107].start 2236.15409375
transcript.pyannote[107].end 2240.00159375
transcript.pyannote[108].speaker SPEAKER_34
transcript.pyannote[108].start 2240.60909375
transcript.pyannote[108].end 2246.05971875
transcript.pyannote[109].speaker SPEAKER_34
transcript.pyannote[109].start 2246.24534375
transcript.pyannote[109].end 2257.46721875
transcript.pyannote[110].speaker SPEAKER_34
transcript.pyannote[110].start 2257.97346875
transcript.pyannote[110].end 2264.06534375
transcript.pyannote[111].speaker SPEAKER_34
transcript.pyannote[111].start 2264.41971875
transcript.pyannote[111].end 2282.17221875
transcript.pyannote[112].speaker SPEAKER_34
transcript.pyannote[112].start 2282.54346875
transcript.pyannote[112].end 2284.93971875
transcript.pyannote[113].speaker SPEAKER_34
transcript.pyannote[113].start 2285.20971875
transcript.pyannote[113].end 2287.99409375
transcript.pyannote[114].speaker SPEAKER_34
transcript.pyannote[114].start 2288.36534375
transcript.pyannote[114].end 2292.56721875
transcript.pyannote[115].speaker SPEAKER_34
transcript.pyannote[115].start 2296.29659375
transcript.pyannote[115].end 2301.91596875
transcript.pyannote[116].speaker SPEAKER_34
transcript.pyannote[116].start 2302.40534375
transcript.pyannote[116].end 2303.21534375
transcript.pyannote[117].speaker SPEAKER_34
transcript.pyannote[117].start 2303.38409375
transcript.pyannote[117].end 2310.97784375
transcript.pyannote[118].speaker SPEAKER_34
transcript.pyannote[118].start 2311.45034375
transcript.pyannote[118].end 2312.32784375
transcript.pyannote[119].speaker SPEAKER_34
transcript.pyannote[119].start 2312.80034375
transcript.pyannote[119].end 2315.44971875
transcript.pyannote[120].speaker SPEAKER_34
transcript.pyannote[120].start 2315.93909375
transcript.pyannote[120].end 2317.10346875
transcript.pyannote[121].speaker SPEAKER_34
transcript.pyannote[121].start 2317.76159375
transcript.pyannote[121].end 2319.76971875
transcript.pyannote[122].speaker SPEAKER_34
transcript.pyannote[122].start 2320.41096875
transcript.pyannote[122].end 2329.30409375
transcript.pyannote[123].speaker SPEAKER_34
transcript.pyannote[123].start 2329.47284375
transcript.pyannote[123].end 2337.77534375
transcript.pyannote[124].speaker SPEAKER_34
transcript.pyannote[124].start 2338.39971875
transcript.pyannote[124].end 2342.61846875
transcript.pyannote[125].speaker SPEAKER_34
transcript.pyannote[125].start 2343.09096875
transcript.pyannote[125].end 2347.64721875
transcript.pyannote[126].speaker SPEAKER_34
transcript.pyannote[126].start 2348.10284375
transcript.pyannote[126].end 2349.25034375
transcript.pyannote[127].speaker SPEAKER_34
transcript.pyannote[127].start 2349.55409375
transcript.pyannote[127].end 2353.16534375
transcript.pyannote[128].speaker SPEAKER_34
transcript.pyannote[128].start 2353.40159375
transcript.pyannote[128].end 2358.64971875
transcript.pyannote[129].speaker SPEAKER_34
transcript.pyannote[129].start 2359.89846875
transcript.pyannote[129].end 2363.02034375
transcript.pyannote[130].speaker SPEAKER_34
transcript.pyannote[130].start 2363.81346875
transcript.pyannote[130].end 2369.95596875
transcript.pyannote[131].speaker SPEAKER_34
transcript.pyannote[131].start 2370.51284375
transcript.pyannote[131].end 2399.57159375
transcript.pyannote[132].speaker SPEAKER_34
transcript.pyannote[132].start 2400.26346875
transcript.pyannote[132].end 2406.54096875
transcript.pyannote[133].speaker SPEAKER_34
transcript.pyannote[133].start 2407.01346875
transcript.pyannote[133].end 2410.43909375
transcript.pyannote[134].speaker SPEAKER_34
transcript.pyannote[134].start 2410.60784375
transcript.pyannote[134].end 2415.82221875
transcript.pyannote[135].speaker SPEAKER_34
transcript.pyannote[135].start 2415.99096875
transcript.pyannote[135].end 2421.32346875
transcript.pyannote[136].speaker SPEAKER_34
transcript.pyannote[136].start 2421.89721875
transcript.pyannote[136].end 2425.27221875
transcript.pyannote[137].speaker SPEAKER_34
transcript.pyannote[137].start 2425.99784375
transcript.pyannote[137].end 2427.24659375
transcript.pyannote[138].speaker SPEAKER_34
transcript.pyannote[138].start 2427.43221875
transcript.pyannote[138].end 2431.07721875
transcript.pyannote[139].speaker SPEAKER_34
transcript.pyannote[139].start 2431.36409375
transcript.pyannote[139].end 2434.65471875
transcript.pyannote[140].speaker SPEAKER_34
transcript.pyannote[140].start 2435.27909375
transcript.pyannote[140].end 2435.83596875
transcript.pyannote[141].speaker SPEAKER_34
transcript.pyannote[141].start 2435.93721875
transcript.pyannote[141].end 2437.01721875
transcript.pyannote[142].speaker SPEAKER_34
transcript.pyannote[142].start 2437.16909375
transcript.pyannote[142].end 2441.01659375
transcript.pyannote[143].speaker SPEAKER_34
transcript.pyannote[143].start 2441.55659375
transcript.pyannote[143].end 2443.26096875
transcript.pyannote[144].speaker SPEAKER_34
transcript.pyannote[144].start 2443.71659375
transcript.pyannote[144].end 2446.31534375
transcript.pyannote[145].speaker SPEAKER_34
transcript.pyannote[145].start 2446.77096875
transcript.pyannote[145].end 2449.20096875
transcript.pyannote[146].speaker SPEAKER_34
transcript.pyannote[146].start 2449.40346875
transcript.pyannote[146].end 2461.99221875
transcript.pyannote[147].speaker SPEAKER_34
transcript.pyannote[147].start 2462.97096875
transcript.pyannote[147].end 2469.99096875
transcript.pyannote[148].speaker SPEAKER_34
transcript.pyannote[148].start 2470.24409375
transcript.pyannote[148].end 2474.76659375
transcript.pyannote[149].speaker SPEAKER_34
transcript.pyannote[149].start 2475.50909375
transcript.pyannote[149].end 2483.69346875
transcript.pyannote[150].speaker SPEAKER_13
transcript.pyannote[150].start 2480.33534375
transcript.pyannote[150].end 2480.41971875
transcript.pyannote[151].speaker SPEAKER_34
transcript.pyannote[151].start 2484.06471875
transcript.pyannote[151].end 2492.72159375
transcript.pyannote[152].speaker SPEAKER_34
transcript.pyannote[152].start 2493.07596875
transcript.pyannote[152].end 2498.50971875
transcript.pyannote[153].speaker SPEAKER_34
transcript.pyannote[153].start 2499.20159375
transcript.pyannote[153].end 2504.71971875
transcript.pyannote[154].speaker SPEAKER_34
transcript.pyannote[154].start 2504.73659375
transcript.pyannote[154].end 2528.91846875
transcript.pyannote[155].speaker SPEAKER_34
transcript.pyannote[155].start 2529.07034375
transcript.pyannote[155].end 2529.66096875
transcript.pyannote[156].speaker SPEAKER_34
transcript.pyannote[156].start 2529.93096875
transcript.pyannote[156].end 2535.87096875
transcript.pyannote[157].speaker SPEAKER_34
transcript.pyannote[157].start 2536.07346875
transcript.pyannote[157].end 2539.90409375
transcript.pyannote[158].speaker SPEAKER_34
transcript.pyannote[158].start 2540.19096875
transcript.pyannote[158].end 2543.05971875
transcript.pyannote[159].speaker SPEAKER_34
transcript.pyannote[159].start 2543.32971875
transcript.pyannote[159].end 2544.24096875
transcript.pyannote[160].speaker SPEAKER_34
transcript.pyannote[160].start 2544.57846875
transcript.pyannote[160].end 2549.75909375
transcript.pyannote[161].speaker SPEAKER_34
transcript.pyannote[161].start 2550.43409375
transcript.pyannote[161].end 2550.82221875
transcript.pyannote[162].speaker SPEAKER_34
transcript.pyannote[162].start 2551.58159375
transcript.pyannote[162].end 2557.38659375
transcript.pyannote[163].speaker SPEAKER_34
transcript.pyannote[163].start 2557.69034375
transcript.pyannote[163].end 2561.38596875
transcript.pyannote[164].speaker SPEAKER_34
transcript.pyannote[164].start 2562.71909375
transcript.pyannote[164].end 2564.54159375
transcript.pyannote[165].speaker SPEAKER_34
transcript.pyannote[165].start 2564.65971875
transcript.pyannote[165].end 2568.52409375
transcript.pyannote[166].speaker SPEAKER_34
transcript.pyannote[166].start 2568.91221875
transcript.pyannote[166].end 2579.89784375
transcript.pyannote[167].speaker SPEAKER_34
transcript.pyannote[167].start 2580.64034375
transcript.pyannote[167].end 2590.76534375
transcript.pyannote[168].speaker SPEAKER_34
transcript.pyannote[168].start 2591.37284375
transcript.pyannote[168].end 2596.40159375
transcript.pyannote[169].speaker SPEAKER_34
transcript.pyannote[169].start 2596.72221875
transcript.pyannote[169].end 2598.88221875
transcript.pyannote[170].speaker SPEAKER_34
transcript.pyannote[170].start 2599.18596875
transcript.pyannote[170].end 2601.22784375
transcript.pyannote[171].speaker SPEAKER_34
transcript.pyannote[171].start 2601.71721875
transcript.pyannote[171].end 2604.99096875
transcript.pyannote[172].speaker SPEAKER_34
transcript.pyannote[172].start 2605.29471875
transcript.pyannote[172].end 2607.23534375
transcript.pyannote[173].speaker SPEAKER_34
transcript.pyannote[173].start 2607.57284375
transcript.pyannote[173].end 2613.49596875
transcript.pyannote[174].speaker SPEAKER_34
transcript.pyannote[174].start 2614.06971875
transcript.pyannote[174].end 2621.29221875
transcript.pyannote[175].speaker SPEAKER_34
transcript.pyannote[175].start 2621.71409375
transcript.pyannote[175].end 2623.16534375
transcript.pyannote[176].speaker SPEAKER_34
transcript.pyannote[176].start 2624.53221875
transcript.pyannote[176].end 2629.54409375
transcript.pyannote[177].speaker SPEAKER_34
transcript.pyannote[177].start 2630.25284375
transcript.pyannote[177].end 2637.81284375
transcript.pyannote[178].speaker SPEAKER_34
transcript.pyannote[178].start 2638.23471875
transcript.pyannote[178].end 2642.16659375
transcript.pyannote[179].speaker SPEAKER_34
transcript.pyannote[179].start 2643.24659375
transcript.pyannote[179].end 2659.76721875
transcript.pyannote[180].speaker SPEAKER_31
transcript.pyannote[180].start 2664.98159375
transcript.pyannote[180].end 2665.74096875
transcript.pyannote[181].speaker SPEAKER_31
transcript.pyannote[181].start 2666.21346875
transcript.pyannote[181].end 2669.20034375
transcript.pyannote[182].speaker SPEAKER_19
transcript.pyannote[182].start 2679.00471875
transcript.pyannote[182].end 2681.85659375
transcript.pyannote[183].speaker SPEAKER_19
transcript.pyannote[183].start 2682.34596875
transcript.pyannote[183].end 2687.98221875
transcript.pyannote[184].speaker SPEAKER_19
transcript.pyannote[184].start 2688.35346875
transcript.pyannote[184].end 2690.80034375
transcript.pyannote[185].speaker SPEAKER_19
transcript.pyannote[185].start 2691.25596875
transcript.pyannote[185].end 2696.92596875
transcript.pyannote[186].speaker SPEAKER_19
transcript.pyannote[186].start 2697.43221875
transcript.pyannote[186].end 2699.27159375
transcript.pyannote[187].speaker SPEAKER_19
transcript.pyannote[187].start 2699.67659375
transcript.pyannote[187].end 2701.06034375
transcript.pyannote[188].speaker SPEAKER_19
transcript.pyannote[188].start 2701.78596875
transcript.pyannote[188].end 2705.38034375
transcript.pyannote[189].speaker SPEAKER_19
transcript.pyannote[189].start 2705.92034375
transcript.pyannote[189].end 2717.15909375
transcript.pyannote[190].speaker SPEAKER_19
transcript.pyannote[190].start 2717.54721875
transcript.pyannote[190].end 2724.07784375
transcript.pyannote[191].speaker SPEAKER_19
transcript.pyannote[191].start 2724.70221875
transcript.pyannote[191].end 2754.09846875
transcript.pyannote[192].speaker SPEAKER_19
transcript.pyannote[192].start 2754.25034375
transcript.pyannote[192].end 2755.51596875
transcript.pyannote[193].speaker SPEAKER_19
transcript.pyannote[193].start 2755.73534375
transcript.pyannote[193].end 2765.01659375
transcript.pyannote[194].speaker SPEAKER_19
transcript.pyannote[194].start 2765.33721875
transcript.pyannote[194].end 2772.40784375
transcript.pyannote[195].speaker SPEAKER_19
transcript.pyannote[195].start 2773.01534375
transcript.pyannote[195].end 2773.26846875
transcript.pyannote[196].speaker SPEAKER_19
transcript.pyannote[196].start 2773.82534375
transcript.pyannote[196].end 2779.44471875
transcript.pyannote[197].speaker SPEAKER_19
transcript.pyannote[197].start 2779.86659375
transcript.pyannote[197].end 2785.35096875
transcript.pyannote[198].speaker SPEAKER_19
transcript.pyannote[198].start 2786.00909375
transcript.pyannote[198].end 2795.59409375
transcript.pyannote[199].speaker SPEAKER_19
transcript.pyannote[199].start 2796.15096875
transcript.pyannote[199].end 2804.95971875
transcript.pyannote[200].speaker SPEAKER_19
transcript.pyannote[200].start 2805.46596875
transcript.pyannote[200].end 2807.05221875
transcript.pyannote[201].speaker SPEAKER_19
transcript.pyannote[201].start 2807.62596875
transcript.pyannote[201].end 2809.22909375
transcript.pyannote[202].speaker SPEAKER_19
transcript.pyannote[202].start 2809.60034375
transcript.pyannote[202].end 2812.53659375
transcript.pyannote[203].speaker SPEAKER_19
transcript.pyannote[203].start 2812.92471875
transcript.pyannote[203].end 2814.76409375
transcript.pyannote[204].speaker SPEAKER_19
transcript.pyannote[204].start 2815.35471875
transcript.pyannote[204].end 2822.23971875
transcript.pyannote[205].speaker SPEAKER_19
transcript.pyannote[205].start 2822.62784375
transcript.pyannote[205].end 2829.51284375
transcript.pyannote[206].speaker SPEAKER_19
transcript.pyannote[206].start 2829.98534375
transcript.pyannote[206].end 2834.65971875
transcript.pyannote[207].speaker SPEAKER_19
transcript.pyannote[207].start 2834.98034375
transcript.pyannote[207].end 2836.48221875
transcript.pyannote[208].speaker SPEAKER_19
transcript.pyannote[208].start 2836.93784375
transcript.pyannote[208].end 2841.19034375
transcript.pyannote[209].speaker SPEAKER_19
transcript.pyannote[209].start 2841.67971875
transcript.pyannote[209].end 2848.88534375
transcript.pyannote[210].speaker SPEAKER_19
transcript.pyannote[210].start 2849.56034375
transcript.pyannote[210].end 2856.27659375
transcript.pyannote[211].speaker SPEAKER_19
transcript.pyannote[211].start 2856.86721875
transcript.pyannote[211].end 2860.63034375
transcript.pyannote[212].speaker SPEAKER_19
transcript.pyannote[212].start 2860.81596875
transcript.pyannote[212].end 2865.00096875
transcript.pyannote[213].speaker SPEAKER_19
transcript.pyannote[213].start 2865.40596875
transcript.pyannote[213].end 2867.22846875
transcript.pyannote[214].speaker SPEAKER_19
transcript.pyannote[214].start 2867.41409375
transcript.pyannote[214].end 2868.24096875
transcript.pyannote[215].speaker SPEAKER_19
transcript.pyannote[215].start 2868.61221875
transcript.pyannote[215].end 2871.83534375
transcript.pyannote[216].speaker SPEAKER_19
transcript.pyannote[216].start 2872.32471875
transcript.pyannote[216].end 2873.69159375
transcript.pyannote[217].speaker SPEAKER_19
transcript.pyannote[217].start 2873.89409375
transcript.pyannote[217].end 2874.63659375
transcript.pyannote[218].speaker SPEAKER_19
transcript.pyannote[218].start 2875.12596875
transcript.pyannote[218].end 2877.55596875
transcript.pyannote[219].speaker SPEAKER_19
transcript.pyannote[219].start 2877.70784375
transcript.pyannote[219].end 2879.95221875
transcript.pyannote[220].speaker SPEAKER_19
transcript.pyannote[220].start 2880.32346875
transcript.pyannote[220].end 2886.33096875
transcript.pyannote[221].speaker SPEAKER_19
transcript.pyannote[221].start 2886.51659375
transcript.pyannote[221].end 2888.27159375
transcript.pyannote[222].speaker SPEAKER_19
transcript.pyannote[222].start 2888.45721875
transcript.pyannote[222].end 2891.56221875
transcript.pyannote[223].speaker SPEAKER_19
transcript.pyannote[223].start 2891.62971875
transcript.pyannote[223].end 2892.22034375
transcript.pyannote[224].speaker SPEAKER_19
transcript.pyannote[224].start 2892.72659375
transcript.pyannote[224].end 2894.05971875
transcript.pyannote[225].speaker SPEAKER_19
transcript.pyannote[225].start 2894.41409375
transcript.pyannote[225].end 2896.25346875
transcript.pyannote[226].speaker SPEAKER_19
transcript.pyannote[226].start 2896.54034375
transcript.pyannote[226].end 2902.49721875
transcript.pyannote[227].speaker SPEAKER_19
transcript.pyannote[227].start 2903.17221875
transcript.pyannote[227].end 2904.60659375
transcript.pyannote[228].speaker SPEAKER_19
transcript.pyannote[228].start 2904.79221875
transcript.pyannote[228].end 2910.49596875
transcript.pyannote[229].speaker SPEAKER_19
transcript.pyannote[229].start 2910.93471875
transcript.pyannote[229].end 2911.98096875
transcript.pyannote[230].speaker SPEAKER_19
transcript.pyannote[230].start 2912.21721875
transcript.pyannote[230].end 2915.74409375
transcript.pyannote[231].speaker SPEAKER_19
transcript.pyannote[231].start 2916.28409375
transcript.pyannote[231].end 2920.97534375
transcript.pyannote[232].speaker SPEAKER_19
transcript.pyannote[232].start 2921.11034375
transcript.pyannote[232].end 2925.78471875
transcript.pyannote[233].speaker SPEAKER_19
transcript.pyannote[233].start 2926.51034375
transcript.pyannote[233].end 2930.69534375
transcript.pyannote[234].speaker SPEAKER_19
transcript.pyannote[234].start 2930.98221875
transcript.pyannote[234].end 2936.24721875
transcript.pyannote[235].speaker SPEAKER_19
transcript.pyannote[235].start 2937.76596875
transcript.pyannote[235].end 2942.15346875
transcript.pyannote[236].speaker SPEAKER_19
transcript.pyannote[236].start 2942.82846875
transcript.pyannote[236].end 2945.74784375
transcript.pyannote[237].speaker SPEAKER_19
transcript.pyannote[237].start 2946.30471875
transcript.pyannote[237].end 2946.91221875
transcript.pyannote[238].speaker SPEAKER_19
transcript.pyannote[238].start 2946.92909375
transcript.pyannote[238].end 2950.52346875
transcript.pyannote[239].speaker SPEAKER_19
transcript.pyannote[239].start 2951.02971875
transcript.pyannote[239].end 2955.87284375
transcript.pyannote[240].speaker SPEAKER_19
transcript.pyannote[240].start 2956.69971875
transcript.pyannote[240].end 2958.45471875
transcript.pyannote[241].speaker SPEAKER_19
transcript.pyannote[241].start 2958.80909375
transcript.pyannote[241].end 2964.07409375
transcript.pyannote[242].speaker SPEAKER_19
transcript.pyannote[242].start 2964.44534375
transcript.pyannote[242].end 2969.37284375
transcript.pyannote[243].speaker SPEAKER_19
transcript.pyannote[243].start 2969.76096875
transcript.pyannote[243].end 2976.51096875
transcript.pyannote[244].speaker SPEAKER_19
transcript.pyannote[244].start 2977.42221875
transcript.pyannote[244].end 2980.93221875
transcript.pyannote[245].speaker SPEAKER_19
transcript.pyannote[245].start 2981.48909375
transcript.pyannote[245].end 2986.41659375
transcript.pyannote[246].speaker SPEAKER_19
transcript.pyannote[246].start 2987.07471875
transcript.pyannote[246].end 2987.74971875
transcript.pyannote[247].speaker SPEAKER_19
transcript.pyannote[247].start 2987.90159375
transcript.pyannote[247].end 2989.43721875
transcript.pyannote[248].speaker SPEAKER_19
transcript.pyannote[248].start 2989.92659375
transcript.pyannote[248].end 2993.47034375
transcript.pyannote[249].speaker SPEAKER_19
transcript.pyannote[249].start 2993.95971875
transcript.pyannote[249].end 2996.98034375
transcript.pyannote[250].speaker SPEAKER_19
transcript.pyannote[250].start 2997.21659375
transcript.pyannote[250].end 3003.98346875
transcript.pyannote[251].speaker SPEAKER_19
transcript.pyannote[251].start 3004.18596875
transcript.pyannote[251].end 3004.59096875
transcript.pyannote[252].speaker SPEAKER_19
transcript.pyannote[252].start 3004.89471875
transcript.pyannote[252].end 3010.37909375
transcript.pyannote[253].speaker SPEAKER_19
transcript.pyannote[253].start 3011.12159375
transcript.pyannote[253].end 3012.91034375
transcript.pyannote[254].speaker SPEAKER_19
transcript.pyannote[254].start 3013.21409375
transcript.pyannote[254].end 3018.09096875
transcript.pyannote[255].speaker SPEAKER_19
transcript.pyannote[255].start 3018.56346875
transcript.pyannote[255].end 3019.44096875
transcript.pyannote[256].speaker SPEAKER_19
transcript.pyannote[256].start 3019.82909375
transcript.pyannote[256].end 3028.63784375
transcript.pyannote[257].speaker SPEAKER_19
transcript.pyannote[257].start 3028.89096875
transcript.pyannote[257].end 3032.53596875
transcript.pyannote[258].speaker SPEAKER_19
transcript.pyannote[258].start 3033.07596875
transcript.pyannote[258].end 3036.43409375
transcript.pyannote[259].speaker SPEAKER_19
transcript.pyannote[259].start 3036.82221875
transcript.pyannote[259].end 3045.59721875
transcript.pyannote[260].speaker SPEAKER_19
transcript.pyannote[260].start 3045.95159375
transcript.pyannote[260].end 3048.48284375
transcript.pyannote[261].speaker SPEAKER_19
transcript.pyannote[261].start 3049.27596875
transcript.pyannote[261].end 3053.39346875
transcript.pyannote[262].speaker SPEAKER_19
transcript.pyannote[262].start 3054.11909375
transcript.pyannote[262].end 3056.78534375
transcript.pyannote[263].speaker SPEAKER_19
transcript.pyannote[263].start 3056.88659375
transcript.pyannote[263].end 3058.97909375
transcript.pyannote[264].speaker SPEAKER_19
transcript.pyannote[264].start 3059.41784375
transcript.pyannote[264].end 3064.02471875
transcript.pyannote[265].speaker SPEAKER_19
transcript.pyannote[265].start 3064.56471875
transcript.pyannote[265].end 3066.31971875
transcript.pyannote[266].speaker SPEAKER_19
transcript.pyannote[266].start 3066.69096875
transcript.pyannote[266].end 3079.51596875
transcript.pyannote[267].speaker SPEAKER_19
transcript.pyannote[267].start 3080.52846875
transcript.pyannote[267].end 3081.54096875
transcript.pyannote[268].speaker SPEAKER_19
transcript.pyannote[268].start 3082.18221875
transcript.pyannote[268].end 3089.03346875
transcript.pyannote[269].speaker SPEAKER_19
transcript.pyannote[269].start 3089.48909375
transcript.pyannote[269].end 3096.94784375
transcript.pyannote[270].speaker SPEAKER_19
transcript.pyannote[270].start 3097.58909375
transcript.pyannote[270].end 3101.74034375
transcript.pyannote[271].speaker SPEAKER_19
transcript.pyannote[271].start 3102.21284375
transcript.pyannote[271].end 3104.45721875
transcript.pyannote[272].speaker SPEAKER_19
transcript.pyannote[272].start 3104.67659375
transcript.pyannote[272].end 3108.10221875
transcript.pyannote[273].speaker SPEAKER_19
transcript.pyannote[273].start 3108.49034375
transcript.pyannote[273].end 3110.59971875
transcript.pyannote[274].speaker SPEAKER_19
transcript.pyannote[274].start 3112.33784375
transcript.pyannote[274].end 3116.69159375
transcript.pyannote[275].speaker SPEAKER_19
transcript.pyannote[275].start 3117.02909375
transcript.pyannote[275].end 3119.30721875
transcript.pyannote[276].speaker SPEAKER_19
transcript.pyannote[276].start 3119.62784375
transcript.pyannote[276].end 3121.63596875
transcript.pyannote[277].speaker SPEAKER_19
transcript.pyannote[277].start 3121.92284375
transcript.pyannote[277].end 3137.05971875
transcript.pyannote[278].speaker SPEAKER_19
transcript.pyannote[278].start 3137.59971875
transcript.pyannote[278].end 3146.98221875
transcript.pyannote[279].speaker SPEAKER_19
transcript.pyannote[279].start 3147.21846875
transcript.pyannote[279].end 3148.50096875
transcript.pyannote[280].speaker SPEAKER_19
transcript.pyannote[280].start 3148.95659375
transcript.pyannote[280].end 3155.21721875
transcript.pyannote[281].speaker SPEAKER_19
transcript.pyannote[281].start 3155.55471875
transcript.pyannote[281].end 3158.64284375
transcript.pyannote[282].speaker SPEAKER_19
transcript.pyannote[282].start 3159.31784375
transcript.pyannote[282].end 3162.40596875
transcript.pyannote[283].speaker SPEAKER_19
transcript.pyannote[283].start 3162.97971875
transcript.pyannote[283].end 3166.57409375
transcript.pyannote[284].speaker SPEAKER_19
transcript.pyannote[284].start 3167.63721875
transcript.pyannote[284].end 3174.87659375
transcript.pyannote[285].speaker SPEAKER_19
transcript.pyannote[285].start 3175.21409375
transcript.pyannote[285].end 3176.09159375
transcript.pyannote[286].speaker SPEAKER_19
transcript.pyannote[286].start 3176.74971875
transcript.pyannote[286].end 3179.17971875
transcript.pyannote[287].speaker SPEAKER_19
transcript.pyannote[287].start 3179.44971875
transcript.pyannote[287].end 3183.70221875
transcript.pyannote[288].speaker SPEAKER_19
transcript.pyannote[288].start 3186.03096875
transcript.pyannote[288].end 3190.60409375
transcript.pyannote[289].speaker SPEAKER_19
transcript.pyannote[289].start 3190.99221875
transcript.pyannote[289].end 3198.90659375
transcript.pyannote[290].speaker SPEAKER_19
transcript.pyannote[290].start 3199.49721875
transcript.pyannote[290].end 3205.97721875
transcript.pyannote[291].speaker SPEAKER_19
transcript.pyannote[291].start 3206.43284375
transcript.pyannote[291].end 3208.93034375
transcript.pyannote[292].speaker SPEAKER_19
transcript.pyannote[292].start 3209.26784375
transcript.pyannote[292].end 3210.39846875
transcript.pyannote[293].speaker SPEAKER_19
transcript.pyannote[293].start 3210.66846875
transcript.pyannote[293].end 3214.51596875
transcript.pyannote[294].speaker SPEAKER_19
transcript.pyannote[294].start 3216.94596875
transcript.pyannote[294].end 3222.76784375
transcript.pyannote[295].speaker SPEAKER_19
transcript.pyannote[295].start 3223.20659375
transcript.pyannote[295].end 3226.78409375
transcript.pyannote[296].speaker SPEAKER_19
transcript.pyannote[296].start 3227.25659375
transcript.pyannote[296].end 3230.93534375
transcript.pyannote[297].speaker SPEAKER_19
transcript.pyannote[297].start 3231.40784375
transcript.pyannote[297].end 3233.83784375
transcript.pyannote[298].speaker SPEAKER_19
transcript.pyannote[298].start 3234.32721875
transcript.pyannote[298].end 3237.60096875
transcript.pyannote[299].speaker SPEAKER_19
transcript.pyannote[299].start 3237.95534375
transcript.pyannote[299].end 3242.34284375
transcript.pyannote[300].speaker SPEAKER_19
transcript.pyannote[300].start 3242.83221875
transcript.pyannote[300].end 3246.34221875
transcript.pyannote[301].speaker SPEAKER_19
transcript.pyannote[301].start 3246.66284375
transcript.pyannote[301].end 3248.13096875
transcript.pyannote[302].speaker SPEAKER_19
transcript.pyannote[302].start 3248.23221875
transcript.pyannote[302].end 3255.03284375
transcript.pyannote[303].speaker SPEAKER_19
transcript.pyannote[303].start 3255.13409375
transcript.pyannote[303].end 3259.09971875
transcript.pyannote[304].speaker SPEAKER_19
transcript.pyannote[304].start 3259.48784375
transcript.pyannote[304].end 3260.04471875
transcript.pyannote[305].speaker SPEAKER_19
transcript.pyannote[305].start 3260.44971875
transcript.pyannote[305].end 3262.84596875
transcript.pyannote[306].speaker SPEAKER_19
transcript.pyannote[306].start 3263.45346875
transcript.pyannote[306].end 3267.11534375
transcript.pyannote[307].speaker SPEAKER_19
transcript.pyannote[307].start 3267.77346875
transcript.pyannote[307].end 3274.06784375
transcript.pyannote[308].speaker SPEAKER_19
transcript.pyannote[308].start 3274.64159375
transcript.pyannote[308].end 3275.50221875
transcript.pyannote[309].speaker SPEAKER_19
transcript.pyannote[309].start 3276.97034375
transcript.pyannote[309].end 3281.25659375
transcript.pyannote[310].speaker SPEAKER_19
transcript.pyannote[310].start 3281.74596875
transcript.pyannote[310].end 3284.41221875
transcript.pyannote[311].speaker SPEAKER_19
transcript.pyannote[311].start 3284.66534375
transcript.pyannote[311].end 3287.60159375
transcript.pyannote[312].speaker SPEAKER_19
transcript.pyannote[312].start 3287.97284375
transcript.pyannote[312].end 3293.18721875
transcript.pyannote[313].speaker SPEAKER_19
transcript.pyannote[313].start 3293.65971875
transcript.pyannote[313].end 3294.63846875
transcript.pyannote[314].speaker SPEAKER_19
transcript.pyannote[314].start 3295.49909375
transcript.pyannote[314].end 3309.74159375
transcript.pyannote[315].speaker SPEAKER_19
transcript.pyannote[315].start 3310.18034375
transcript.pyannote[315].end 3314.26409375
transcript.pyannote[316].speaker SPEAKER_19
transcript.pyannote[316].start 3314.80409375
transcript.pyannote[316].end 3318.04409375
transcript.pyannote[317].speaker SPEAKER_19
transcript.pyannote[317].start 3318.41534375
transcript.pyannote[317].end 3321.89159375
transcript.pyannote[318].speaker SPEAKER_19
transcript.pyannote[318].start 3322.16159375
transcript.pyannote[318].end 3322.88721875
transcript.pyannote[319].speaker SPEAKER_19
transcript.pyannote[319].start 3323.08971875
transcript.pyannote[319].end 3325.99221875
transcript.pyannote[320].speaker SPEAKER_19
transcript.pyannote[320].start 3326.44784375
transcript.pyannote[320].end 3330.83534375
transcript.pyannote[321].speaker SPEAKER_19
transcript.pyannote[321].start 3333.04596875
transcript.pyannote[321].end 3340.57221875
transcript.pyannote[322].speaker SPEAKER_19
transcript.pyannote[322].start 3341.21346875
transcript.pyannote[322].end 3341.71971875
transcript.pyannote[323].speaker SPEAKER_19
transcript.pyannote[323].start 3343.54221875
transcript.pyannote[323].end 3349.09409375
transcript.pyannote[324].speaker SPEAKER_19
transcript.pyannote[324].start 3349.58346875
transcript.pyannote[324].end 3355.33784375
transcript.pyannote[325].speaker SPEAKER_19
transcript.pyannote[325].start 3355.64159375
transcript.pyannote[325].end 3359.23596875
transcript.pyannote[326].speaker SPEAKER_19
transcript.pyannote[326].start 3359.80971875
transcript.pyannote[326].end 3361.63221875
transcript.pyannote[327].speaker SPEAKER_19
transcript.pyannote[327].start 3362.05409375
transcript.pyannote[327].end 3365.41221875
transcript.pyannote[328].speaker SPEAKER_19
transcript.pyannote[328].start 3365.64846875
transcript.pyannote[328].end 3370.82909375
transcript.pyannote[329].speaker SPEAKER_19
transcript.pyannote[329].start 3371.11596875
transcript.pyannote[329].end 3374.57534375
transcript.pyannote[330].speaker SPEAKER_19
transcript.pyannote[330].start 3374.99721875
transcript.pyannote[330].end 3377.39346875
transcript.pyannote[331].speaker SPEAKER_19
transcript.pyannote[331].start 3380.14409375
transcript.pyannote[331].end 3387.60284375
transcript.pyannote[332].speaker SPEAKER_19
transcript.pyannote[332].start 3387.92346875
transcript.pyannote[332].end 3390.35346875
transcript.pyannote[333].speaker SPEAKER_19
transcript.pyannote[333].start 3390.84284375
transcript.pyannote[333].end 3396.29346875
transcript.pyannote[334].speaker SPEAKER_19
transcript.pyannote[334].start 3396.74909375
transcript.pyannote[334].end 3397.82909375
transcript.pyannote[335].speaker SPEAKER_19
transcript.pyannote[335].start 3398.14971875
transcript.pyannote[335].end 3402.28409375
transcript.pyannote[336].speaker SPEAKER_19
transcript.pyannote[336].start 3403.16159375
transcript.pyannote[336].end 3405.43971875
transcript.pyannote[337].speaker SPEAKER_19
transcript.pyannote[337].start 3405.92909375
transcript.pyannote[337].end 3406.43534375
transcript.pyannote[338].speaker SPEAKER_19
transcript.pyannote[338].start 3406.80659375
transcript.pyannote[338].end 3408.34221875
transcript.pyannote[339].speaker SPEAKER_19
transcript.pyannote[339].start 3408.78096875
transcript.pyannote[339].end 3413.20221875
transcript.pyannote[340].speaker SPEAKER_19
transcript.pyannote[340].start 3414.19784375
transcript.pyannote[340].end 3418.99034375
transcript.pyannote[341].speaker SPEAKER_19
transcript.pyannote[341].start 3419.54721875
transcript.pyannote[341].end 3423.20909375
transcript.pyannote[342].speaker SPEAKER_19
transcript.pyannote[342].start 3423.68159375
transcript.pyannote[342].end 3425.77409375
transcript.pyannote[343].speaker SPEAKER_19
transcript.pyannote[343].start 3426.46596875
transcript.pyannote[343].end 3433.48596875
transcript.pyannote[344].speaker SPEAKER_19
transcript.pyannote[344].start 3433.99221875
transcript.pyannote[344].end 3438.05909375
transcript.pyannote[345].speaker SPEAKER_19
transcript.pyannote[345].start 3438.46409375
transcript.pyannote[345].end 3441.95721875
transcript.pyannote[346].speaker SPEAKER_19
transcript.pyannote[346].start 3442.39596875
transcript.pyannote[346].end 3445.39971875
transcript.pyannote[347].speaker SPEAKER_19
transcript.pyannote[347].start 3446.10846875
transcript.pyannote[347].end 3451.17096875
transcript.pyannote[348].speaker SPEAKER_19
transcript.pyannote[348].start 3451.64346875
transcript.pyannote[348].end 3454.15784375
transcript.pyannote[349].speaker SPEAKER_19
transcript.pyannote[349].start 3454.51221875
transcript.pyannote[349].end 3455.94659375
transcript.pyannote[350].speaker SPEAKER_19
transcript.pyannote[350].start 3456.13221875
transcript.pyannote[350].end 3457.22909375
transcript.pyannote[351].speaker SPEAKER_19
transcript.pyannote[351].start 3457.43159375
transcript.pyannote[351].end 3460.21596875
transcript.pyannote[352].speaker SPEAKER_19
transcript.pyannote[352].start 3460.63784375
transcript.pyannote[352].end 3464.33346875
transcript.pyannote[353].speaker SPEAKER_31
transcript.pyannote[353].start 3470.30721875
transcript.pyannote[353].end 3471.15096875
transcript.pyannote[354].speaker SPEAKER_31
transcript.pyannote[354].start 3471.87659375
transcript.pyannote[354].end 3480.63471875
transcript.pyannote[355].speaker SPEAKER_31
transcript.pyannote[355].start 3480.82034375
transcript.pyannote[355].end 3492.80159375
transcript.pyannote[356].speaker SPEAKER_36
transcript.pyannote[356].start 3507.80346875
transcript.pyannote[356].end 3509.99721875
transcript.pyannote[357].speaker SPEAKER_36
transcript.pyannote[357].start 3510.43596875
transcript.pyannote[357].end 3514.11471875
transcript.pyannote[358].speaker SPEAKER_31
transcript.pyannote[358].start 3519.66659375
transcript.pyannote[358].end 3522.78846875
transcript.pyannote[359].speaker SPEAKER_36
transcript.pyannote[359].start 3522.78846875
transcript.pyannote[359].end 3525.64034375
transcript.pyannote[360].speaker SPEAKER_31
transcript.pyannote[360].start 3531.07409375
transcript.pyannote[360].end 3544.42221875
transcript.pyannote[361].speaker SPEAKER_36
transcript.pyannote[361].start 3532.22159375
transcript.pyannote[361].end 3532.72784375
transcript.pyannote[362].speaker SPEAKER_31
transcript.pyannote[362].start 3544.79346875
transcript.pyannote[362].end 3545.67096875
transcript.pyannote[363].speaker SPEAKER_31
transcript.pyannote[363].start 3546.34596875
transcript.pyannote[363].end 3546.95346875
transcript.pyannote[364].speaker SPEAKER_08
transcript.pyannote[364].start 3549.16409375
transcript.pyannote[364].end 3549.78846875
transcript.pyannote[365].speaker SPEAKER_31
transcript.pyannote[365].start 3549.88971875
transcript.pyannote[365].end 3550.85159375
transcript.pyannote[366].speaker SPEAKER_31
transcript.pyannote[366].start 3551.30721875
transcript.pyannote[366].end 3554.71596875
transcript.pyannote[367].speaker SPEAKER_31
transcript.pyannote[367].start 3555.66096875
transcript.pyannote[367].end 3556.65659375
transcript.pyannote[368].speaker SPEAKER_08
transcript.pyannote[368].start 3558.93471875
transcript.pyannote[368].end 3560.20034375
transcript.pyannote[369].speaker SPEAKER_08
transcript.pyannote[369].start 3560.26784375
transcript.pyannote[369].end 3561.44909375
transcript.pyannote[370].speaker SPEAKER_31
transcript.pyannote[370].start 3561.44909375
transcript.pyannote[370].end 3562.63034375
transcript.pyannote[371].speaker SPEAKER_08
transcript.pyannote[371].start 3561.48284375
transcript.pyannote[371].end 3562.19159375
transcript.pyannote[372].speaker SPEAKER_08
transcript.pyannote[372].start 3563.05221875
transcript.pyannote[372].end 3565.43159375
transcript.pyannote[373].speaker SPEAKER_31
transcript.pyannote[373].start 3565.24596875
transcript.pyannote[373].end 3571.35471875
transcript.pyannote[374].speaker SPEAKER_08
transcript.pyannote[374].start 3570.84846875
transcript.pyannote[374].end 3572.80596875
transcript.pyannote[375].speaker SPEAKER_31
transcript.pyannote[375].start 3572.80596875
transcript.pyannote[375].end 3573.71721875
transcript.pyannote[376].speaker SPEAKER_08
transcript.pyannote[376].start 3572.82284375
transcript.pyannote[376].end 3572.95784375
transcript.pyannote[377].speaker SPEAKER_19
transcript.pyannote[377].start 3575.40471875
transcript.pyannote[377].end 3579.77534375
transcript.pyannote[378].speaker SPEAKER_31
transcript.pyannote[378].start 3578.79659375
transcript.pyannote[378].end 3580.24784375
transcript.pyannote[379].speaker SPEAKER_19
transcript.pyannote[379].start 3580.24784375
transcript.pyannote[379].end 3582.94784375
transcript.pyannote[380].speaker SPEAKER_31
transcript.pyannote[380].start 3583.03221875
transcript.pyannote[380].end 3586.74471875
transcript.pyannote[381].speaker SPEAKER_19
transcript.pyannote[381].start 3587.16659375
transcript.pyannote[381].end 3589.59659375
transcript.pyannote[382].speaker SPEAKER_31
transcript.pyannote[382].start 3590.10284375
transcript.pyannote[382].end 3590.69346875
transcript.pyannote[383].speaker SPEAKER_19
transcript.pyannote[383].start 3590.69346875
transcript.pyannote[383].end 3590.91284375
transcript.pyannote[384].speaker SPEAKER_31
transcript.pyannote[384].start 3590.91284375
transcript.pyannote[384].end 3590.92971875
transcript.pyannote[385].speaker SPEAKER_19
transcript.pyannote[385].start 3590.92971875
transcript.pyannote[385].end 3590.94659375
transcript.pyannote[386].speaker SPEAKER_31
transcript.pyannote[386].start 3590.94659375
transcript.pyannote[386].end 3593.46096875
transcript.pyannote[387].speaker SPEAKER_19
transcript.pyannote[387].start 3593.89971875
transcript.pyannote[387].end 3596.61659375
transcript.pyannote[388].speaker SPEAKER_19
transcript.pyannote[388].start 3596.98784375
transcript.pyannote[388].end 3597.66284375
transcript.pyannote[389].speaker SPEAKER_31
transcript.pyannote[389].start 3597.66284375
transcript.pyannote[389].end 3607.24784375
transcript.pyannote[390].speaker SPEAKER_31
transcript.pyannote[390].start 3607.78784375
transcript.pyannote[390].end 3614.36909375
transcript.pyannote[391].speaker SPEAKER_31
transcript.pyannote[391].start 3615.83721875
transcript.pyannote[391].end 3616.56284375
transcript.pyannote[392].speaker SPEAKER_31
transcript.pyannote[392].start 3616.88346875
transcript.pyannote[392].end 3625.47284375
transcript.pyannote[393].speaker SPEAKER_19
transcript.pyannote[393].start 3628.96596875
transcript.pyannote[393].end 3634.23096875
transcript.pyannote[394].speaker SPEAKER_19
transcript.pyannote[394].start 3634.31534375
transcript.pyannote[394].end 3636.67784375
transcript.pyannote[395].speaker SPEAKER_19
transcript.pyannote[395].start 3637.52159375
transcript.pyannote[395].end 3638.21346875
transcript.pyannote[396].speaker SPEAKER_31
transcript.pyannote[396].start 3638.43284375
transcript.pyannote[396].end 3639.36096875
transcript.pyannote[397].speaker SPEAKER_31
transcript.pyannote[397].start 3640.25534375
transcript.pyannote[397].end 3642.17909375
transcript.pyannote[398].speaker SPEAKER_19
transcript.pyannote[398].start 3640.77846875
transcript.pyannote[398].end 3645.63846875
transcript.pyannote[399].speaker SPEAKER_31
transcript.pyannote[399].start 3645.72284375
transcript.pyannote[399].end 3647.27534375
transcript.pyannote[400].speaker SPEAKER_31
transcript.pyannote[400].start 3648.35534375
transcript.pyannote[400].end 3649.67159375
transcript.pyannote[401].speaker SPEAKER_19
transcript.pyannote[401].start 3648.72659375
transcript.pyannote[401].end 3649.31721875
transcript.pyannote[402].speaker SPEAKER_31
transcript.pyannote[402].start 3650.63346875
transcript.pyannote[402].end 3653.73846875
transcript.pyannote[403].speaker SPEAKER_31
transcript.pyannote[403].start 3654.05909375
transcript.pyannote[403].end 3655.66221875
transcript.pyannote[404].speaker SPEAKER_31
transcript.pyannote[404].start 3656.30346875
transcript.pyannote[404].end 3657.68721875
transcript.pyannote[405].speaker SPEAKER_31
transcript.pyannote[405].start 3657.99096875
transcript.pyannote[405].end 3659.27346875
transcript.pyannote[406].speaker SPEAKER_31
transcript.pyannote[406].start 3660.11721875
transcript.pyannote[406].end 3661.80471875
transcript.pyannote[407].speaker SPEAKER_31
transcript.pyannote[407].start 3663.01971875
transcript.pyannote[407].end 3664.55534375
transcript.pyannote[408].speaker SPEAKER_31
transcript.pyannote[408].start 3664.99409375
transcript.pyannote[408].end 3672.70596875
transcript.pyannote[409].speaker SPEAKER_31
transcript.pyannote[409].start 3673.07721875
transcript.pyannote[409].end 3678.81471875
transcript.pyannote[410].speaker SPEAKER_31
transcript.pyannote[410].start 3679.43909375
transcript.pyannote[410].end 3680.78909375
transcript.pyannote[411].speaker SPEAKER_31
transcript.pyannote[411].start 3682.00409375
transcript.pyannote[411].end 3682.91534375
transcript.pyannote[412].speaker SPEAKER_19
transcript.pyannote[412].start 3684.70409375
transcript.pyannote[412].end 3691.53846875
transcript.pyannote[413].speaker SPEAKER_31
transcript.pyannote[413].start 3691.53846875
transcript.pyannote[413].end 3698.18721875
transcript.pyannote[414].speaker SPEAKER_19
transcript.pyannote[414].start 3698.28846875
transcript.pyannote[414].end 3700.48221875
transcript.pyannote[415].speaker SPEAKER_19
transcript.pyannote[415].start 3700.65096875
transcript.pyannote[415].end 3704.66721875
transcript.pyannote[416].speaker SPEAKER_31
transcript.pyannote[416].start 3701.10659375
transcript.pyannote[416].end 3703.31721875
transcript.pyannote[417].speaker SPEAKER_31
transcript.pyannote[417].start 3705.61221875
transcript.pyannote[417].end 3706.86096875
transcript.pyannote[418].speaker SPEAKER_19
transcript.pyannote[418].start 3706.82721875
transcript.pyannote[418].end 3709.05471875
transcript.pyannote[419].speaker SPEAKER_31
transcript.pyannote[419].start 3707.70471875
transcript.pyannote[419].end 3712.54784375
transcript.pyannote[420].speaker SPEAKER_19
transcript.pyannote[420].start 3712.54784375
transcript.pyannote[420].end 3712.96971875
transcript.pyannote[421].speaker SPEAKER_31
transcript.pyannote[421].start 3712.96971875
transcript.pyannote[421].end 3738.99096875
transcript.pyannote[422].speaker SPEAKER_31
transcript.pyannote[422].start 3739.64909375
transcript.pyannote[422].end 3745.75784375
transcript.pyannote[423].speaker SPEAKER_19
transcript.pyannote[423].start 3747.86721875
transcript.pyannote[423].end 3758.24534375
transcript.pyannote[424].speaker SPEAKER_13
transcript.pyannote[424].start 3755.95034375
transcript.pyannote[424].end 3755.96721875
transcript.pyannote[425].speaker SPEAKER_31
transcript.pyannote[425].start 3755.96721875
transcript.pyannote[425].end 3756.79409375
transcript.pyannote[426].speaker SPEAKER_31
transcript.pyannote[426].start 3758.24534375
transcript.pyannote[426].end 3758.44784375
transcript.pyannote[427].speaker SPEAKER_19
transcript.pyannote[427].start 3758.44784375
transcript.pyannote[427].end 3760.59096875
transcript.pyannote[428].speaker SPEAKER_31
transcript.pyannote[428].start 3759.07221875
transcript.pyannote[428].end 3760.05096875
transcript.pyannote[429].speaker SPEAKER_31
transcript.pyannote[429].start 3760.57409375
transcript.pyannote[429].end 3770.49659375
transcript.pyannote[430].speaker SPEAKER_31
transcript.pyannote[430].start 3770.91846875
transcript.pyannote[430].end 3774.93471875
transcript.pyannote[431].speaker SPEAKER_19
transcript.pyannote[431].start 3775.82909375
transcript.pyannote[431].end 3776.62221875
transcript.pyannote[432].speaker SPEAKER_19
transcript.pyannote[432].start 3776.74034375
transcript.pyannote[432].end 3785.98784375
transcript.pyannote[433].speaker SPEAKER_31
transcript.pyannote[433].start 3785.24534375
transcript.pyannote[433].end 3786.17346875
transcript.pyannote[434].speaker SPEAKER_19
transcript.pyannote[434].start 3786.15659375
transcript.pyannote[434].end 3795.74159375
transcript.pyannote[435].speaker SPEAKER_19
transcript.pyannote[435].start 3796.23096875
transcript.pyannote[435].end 3801.25971875
transcript.pyannote[436].speaker SPEAKER_19
transcript.pyannote[436].start 3801.51284375
transcript.pyannote[436].end 3804.02721875
transcript.pyannote[437].speaker SPEAKER_19
transcript.pyannote[437].start 3804.11159375
transcript.pyannote[437].end 3809.88284375
transcript.pyannote[438].speaker SPEAKER_19
transcript.pyannote[438].start 3810.37221875
transcript.pyannote[438].end 3810.65909375
transcript.pyannote[439].speaker SPEAKER_31
transcript.pyannote[439].start 3810.65909375
transcript.pyannote[439].end 3831.38159375
transcript.pyannote[440].speaker SPEAKER_31
transcript.pyannote[440].start 3832.37721875
transcript.pyannote[440].end 3834.52034375
transcript.pyannote[441].speaker SPEAKER_31
transcript.pyannote[441].start 3835.21221875
transcript.pyannote[441].end 3841.13534375
transcript.pyannote[442].speaker SPEAKER_31
transcript.pyannote[442].start 3841.70909375
transcript.pyannote[442].end 3851.85096875
transcript.pyannote[443].speaker SPEAKER_31
transcript.pyannote[443].start 3852.55971875
transcript.pyannote[443].end 3854.70284375
transcript.pyannote[444].speaker SPEAKER_31
transcript.pyannote[444].start 3856.03596875
transcript.pyannote[444].end 3856.94721875
transcript.pyannote[445].speaker SPEAKER_31
transcript.pyannote[445].start 3858.04409375
transcript.pyannote[445].end 3858.49971875
transcript.pyannote[446].speaker SPEAKER_31
transcript.pyannote[446].start 3858.70221875
transcript.pyannote[446].end 3869.51909375
transcript.pyannote[447].speaker SPEAKER_31
transcript.pyannote[447].start 3869.62034375
transcript.pyannote[447].end 3870.73409375
transcript.pyannote[448].speaker SPEAKER_31
transcript.pyannote[448].start 3871.76346875
transcript.pyannote[448].end 3873.99096875
transcript.pyannote[449].speaker SPEAKER_31
transcript.pyannote[449].start 3874.41284375
transcript.pyannote[449].end 3876.79221875
transcript.pyannote[450].speaker SPEAKER_31
transcript.pyannote[450].start 3877.36596875
transcript.pyannote[450].end 3878.22659375
transcript.pyannote[451].speaker SPEAKER_31
transcript.pyannote[451].start 3878.80034375
transcript.pyannote[451].end 3881.61846875
transcript.pyannote[452].speaker SPEAKER_31
transcript.pyannote[452].start 3882.07409375
transcript.pyannote[452].end 3884.03159375
transcript.pyannote[453].speaker SPEAKER_31
transcript.pyannote[453].start 3887.20409375
transcript.pyannote[453].end 3887.49096875
transcript.pyannote[454].speaker SPEAKER_31
transcript.pyannote[454].start 3887.94659375
transcript.pyannote[454].end 3897.63284375
transcript.pyannote[455].speaker SPEAKER_31
transcript.pyannote[455].start 3898.94909375
transcript.pyannote[455].end 3906.76221875
transcript.pyannote[456].speaker SPEAKER_31
transcript.pyannote[456].start 3907.28534375
transcript.pyannote[456].end 3909.78284375
transcript.pyannote[457].speaker SPEAKER_31
transcript.pyannote[457].start 3909.83346875
transcript.pyannote[457].end 3914.67659375
transcript.pyannote[458].speaker SPEAKER_31
transcript.pyannote[458].start 3915.55409375
transcript.pyannote[458].end 3916.81971875
transcript.pyannote[459].speaker SPEAKER_31
transcript.pyannote[459].start 3917.25846875
transcript.pyannote[459].end 3927.36659375
transcript.pyannote[460].speaker SPEAKER_31
transcript.pyannote[460].start 3927.65346875
transcript.pyannote[460].end 3930.03284375
transcript.pyannote[461].speaker SPEAKER_31
transcript.pyannote[461].start 3931.55159375
transcript.pyannote[461].end 3932.00721875
transcript.pyannote[462].speaker SPEAKER_31
transcript.pyannote[462].start 3932.95221875
transcript.pyannote[462].end 3938.72346875
transcript.pyannote[463].speaker SPEAKER_31
transcript.pyannote[463].start 3939.21284375
transcript.pyannote[463].end 3940.59659375
transcript.pyannote[464].speaker SPEAKER_31
transcript.pyannote[464].start 3941.57534375
transcript.pyannote[464].end 3943.65096875
transcript.pyannote[465].speaker SPEAKER_31
transcript.pyannote[465].start 3944.51159375
transcript.pyannote[465].end 3948.29159375
transcript.pyannote[466].speaker SPEAKER_31
transcript.pyannote[466].start 3949.25346875
transcript.pyannote[466].end 3950.33346875
transcript.pyannote[467].speaker SPEAKER_19
transcript.pyannote[467].start 3952.66221875
transcript.pyannote[467].end 3953.82659375
transcript.pyannote[468].speaker SPEAKER_19
transcript.pyannote[468].start 3954.21471875
transcript.pyannote[468].end 3960.18846875
transcript.pyannote[469].speaker SPEAKER_19
transcript.pyannote[469].start 3960.52596875
transcript.pyannote[469].end 3964.99784375
transcript.pyannote[470].speaker SPEAKER_19
transcript.pyannote[470].start 3965.68971875
transcript.pyannote[470].end 3966.17909375
transcript.pyannote[471].speaker SPEAKER_19
transcript.pyannote[471].start 3966.48284375
transcript.pyannote[471].end 3968.17034375
transcript.pyannote[472].speaker SPEAKER_31
transcript.pyannote[472].start 3968.44034375
transcript.pyannote[472].end 3973.68846875
transcript.pyannote[473].speaker SPEAKER_19
transcript.pyannote[473].start 3968.45721875
transcript.pyannote[473].end 3968.67659375
transcript.pyannote[474].speaker SPEAKER_19
transcript.pyannote[474].start 3974.68409375
transcript.pyannote[474].end 3974.71784375
transcript.pyannote[475].speaker SPEAKER_31
transcript.pyannote[475].start 3974.71784375
transcript.pyannote[475].end 3978.41346875
transcript.pyannote[476].speaker SPEAKER_19
transcript.pyannote[476].start 3974.75159375
transcript.pyannote[476].end 3975.78096875
transcript.pyannote[477].speaker SPEAKER_31
transcript.pyannote[477].start 3978.59909375
transcript.pyannote[477].end 3985.93971875
transcript.pyannote[478].speaker SPEAKER_19
transcript.pyannote[478].start 3986.85096875
transcript.pyannote[478].end 3988.11659375
transcript.pyannote[479].speaker SPEAKER_31
transcript.pyannote[479].start 3990.04034375
transcript.pyannote[479].end 3990.58034375
transcript.pyannote[480].speaker SPEAKER_19
transcript.pyannote[480].start 3991.12034375
transcript.pyannote[480].end 3992.94284375
transcript.pyannote[481].speaker SPEAKER_19
transcript.pyannote[481].start 3993.06096875
transcript.pyannote[481].end 4001.16096875
transcript.pyannote[482].speaker SPEAKER_31
transcript.pyannote[482].start 4000.13159375
transcript.pyannote[482].end 4007.82659375
transcript.pyannote[483].speaker SPEAKER_31
transcript.pyannote[483].start 4008.80534375
transcript.pyannote[483].end 4009.85159375
transcript.pyannote[484].speaker SPEAKER_31
transcript.pyannote[484].start 4010.50971875
transcript.pyannote[484].end 4011.72471875
transcript.pyannote[485].speaker SPEAKER_31
transcript.pyannote[485].start 4012.23096875
transcript.pyannote[485].end 4014.81284375
transcript.pyannote[486].speaker SPEAKER_31
transcript.pyannote[486].start 4015.42034375
transcript.pyannote[486].end 4018.52534375
transcript.pyannote[487].speaker SPEAKER_31
transcript.pyannote[487].start 4022.25471875
transcript.pyannote[487].end 4022.55846875
transcript.pyannote[488].speaker SPEAKER_31
transcript.pyannote[488].start 4022.74409375
transcript.pyannote[488].end 4023.43596875
transcript.pyannote[489].speaker SPEAKER_31
transcript.pyannote[489].start 4024.63409375
transcript.pyannote[489].end 4025.89971875
transcript.pyannote[490].speaker SPEAKER_31
transcript.pyannote[490].start 4026.33846875
transcript.pyannote[490].end 4027.62096875
transcript.pyannote[491].speaker SPEAKER_31
transcript.pyannote[491].start 4028.04284375
transcript.pyannote[491].end 4033.49346875
transcript.pyannote[492].speaker SPEAKER_31
transcript.pyannote[492].start 4034.96159375
transcript.pyannote[492].end 4051.53284375
transcript.pyannote[493].speaker SPEAKER_31
transcript.pyannote[493].start 4051.78596875
transcript.pyannote[493].end 4055.92034375
transcript.pyannote[494].speaker SPEAKER_31
transcript.pyannote[494].start 4057.54034375
transcript.pyannote[494].end 4059.49784375
transcript.pyannote[495].speaker SPEAKER_31
transcript.pyannote[495].start 4059.90284375
transcript.pyannote[495].end 4067.14221875
transcript.pyannote[496].speaker SPEAKER_31
transcript.pyannote[496].start 4067.76659375
transcript.pyannote[496].end 4069.75784375
transcript.pyannote[497].speaker SPEAKER_31
transcript.pyannote[497].start 4070.02784375
transcript.pyannote[497].end 4079.10659375
transcript.pyannote[498].speaker SPEAKER_31
transcript.pyannote[498].start 4079.51159375
transcript.pyannote[498].end 4081.45221875
transcript.pyannote[499].speaker SPEAKER_31
transcript.pyannote[499].start 4082.76846875
transcript.pyannote[499].end 4084.06784375
transcript.pyannote[500].speaker SPEAKER_31
transcript.pyannote[500].start 4085.24909375
transcript.pyannote[500].end 4086.10971875
transcript.pyannote[501].speaker SPEAKER_31
transcript.pyannote[501].start 4087.24034375
transcript.pyannote[501].end 4087.91534375
transcript.pyannote[502].speaker SPEAKER_31
transcript.pyannote[502].start 4088.62409375
transcript.pyannote[502].end 4090.71659375
transcript.pyannote[503].speaker SPEAKER_19
transcript.pyannote[503].start 4096.33596875
transcript.pyannote[503].end 4099.96409375
transcript.pyannote[504].speaker SPEAKER_31
transcript.pyannote[504].start 4099.00221875
transcript.pyannote[504].end 4107.11909375
transcript.pyannote[505].speaker SPEAKER_19
transcript.pyannote[505].start 4101.90471875
transcript.pyannote[505].end 4101.98909375
transcript.pyannote[506].speaker SPEAKER_29
transcript.pyannote[506].start 4101.98909375
transcript.pyannote[506].end 4102.17471875
transcript.pyannote[507].speaker SPEAKER_31
transcript.pyannote[507].start 4107.77721875
transcript.pyannote[507].end 4108.90784375
transcript.pyannote[508].speaker SPEAKER_19
transcript.pyannote[508].start 4108.90784375
transcript.pyannote[508].end 4109.32971875
transcript.pyannote[509].speaker SPEAKER_19
transcript.pyannote[509].start 4109.90346875
transcript.pyannote[509].end 4115.84346875
transcript.pyannote[510].speaker SPEAKER_19
transcript.pyannote[510].start 4116.16409375
transcript.pyannote[510].end 4120.38284375
transcript.pyannote[511].speaker SPEAKER_19
transcript.pyannote[511].start 4120.70346875
transcript.pyannote[511].end 4129.61346875
transcript.pyannote[512].speaker SPEAKER_31
transcript.pyannote[512].start 4133.57909375
transcript.pyannote[512].end 4135.30034375
transcript.pyannote[513].speaker SPEAKER_31
transcript.pyannote[513].start 4136.14409375
transcript.pyannote[513].end 4140.98721875
transcript.pyannote[514].speaker SPEAKER_31
transcript.pyannote[514].start 4141.52721875
transcript.pyannote[514].end 4150.58909375
transcript.pyannote[515].speaker SPEAKER_31
transcript.pyannote[515].start 4151.04471875
transcript.pyannote[515].end 4152.39471875
transcript.pyannote[516].speaker SPEAKER_31
transcript.pyannote[516].start 4152.54659375
transcript.pyannote[516].end 4154.87534375
transcript.pyannote[517].speaker SPEAKER_31
transcript.pyannote[517].start 4155.56721875
transcript.pyannote[517].end 4158.33471875
transcript.pyannote[518].speaker SPEAKER_31
transcript.pyannote[518].start 4158.87471875
transcript.pyannote[518].end 4168.84784375
transcript.pyannote[519].speaker SPEAKER_31
transcript.pyannote[519].start 4169.18534375
transcript.pyannote[519].end 4170.29909375
transcript.pyannote[520].speaker SPEAKER_31
transcript.pyannote[520].start 4170.80534375
transcript.pyannote[520].end 4172.40846875
transcript.pyannote[521].speaker SPEAKER_31
transcript.pyannote[521].start 4172.62784375
transcript.pyannote[521].end 4173.70784375
transcript.pyannote[522].speaker SPEAKER_31
transcript.pyannote[522].start 4174.99034375
transcript.pyannote[522].end 4175.04096875
transcript.pyannote[523].speaker SPEAKER_31
transcript.pyannote[523].start 4175.88471875
transcript.pyannote[523].end 4176.62721875
transcript.pyannote[524].speaker SPEAKER_31
transcript.pyannote[524].start 4177.35284375
transcript.pyannote[524].end 4179.49596875
transcript.pyannote[525].speaker SPEAKER_31
transcript.pyannote[525].start 4180.03596875
transcript.pyannote[525].end 4185.06471875
transcript.pyannote[526].speaker SPEAKER_31
transcript.pyannote[526].start 4188.96284375
transcript.pyannote[526].end 4189.95846875
transcript.pyannote[527].speaker SPEAKER_31
transcript.pyannote[527].start 4193.24909375
transcript.pyannote[527].end 4214.68034375
transcript.pyannote[528].speaker SPEAKER_31
transcript.pyannote[528].start 4215.32159375
transcript.pyannote[528].end 4218.61221875
transcript.pyannote[529].speaker SPEAKER_31
transcript.pyannote[529].start 4219.52346875
transcript.pyannote[529].end 4223.10096875
transcript.pyannote[530].speaker SPEAKER_31
transcript.pyannote[530].start 4224.29909375
transcript.pyannote[530].end 4226.64471875
transcript.pyannote[531].speaker SPEAKER_31
transcript.pyannote[531].start 4227.16784375
transcript.pyannote[531].end 4228.06221875
transcript.pyannote[532].speaker SPEAKER_31
transcript.pyannote[532].start 4228.53471875
transcript.pyannote[532].end 4229.98596875
transcript.pyannote[533].speaker SPEAKER_31
transcript.pyannote[533].start 4234.23846875
transcript.pyannote[533].end 4237.41096875
transcript.pyannote[534].speaker SPEAKER_31
transcript.pyannote[534].start 4238.22096875
transcript.pyannote[534].end 4239.94221875
transcript.pyannote[535].speaker SPEAKER_31
transcript.pyannote[535].start 4240.34721875
transcript.pyannote[535].end 4242.20346875
transcript.pyannote[536].speaker SPEAKER_31
transcript.pyannote[536].start 4242.59159375
transcript.pyannote[536].end 4243.30034375
transcript.pyannote[537].speaker SPEAKER_19
transcript.pyannote[537].start 4244.11034375
transcript.pyannote[537].end 4246.28721875
transcript.pyannote[538].speaker SPEAKER_31
transcript.pyannote[538].start 4245.98346875
transcript.pyannote[538].end 4247.72159375
transcript.pyannote[539].speaker SPEAKER_31
transcript.pyannote[539].start 4247.95784375
transcript.pyannote[539].end 4248.53159375
transcript.pyannote[540].speaker SPEAKER_31
transcript.pyannote[540].start 4249.20659375
transcript.pyannote[540].end 4251.45096875
transcript.pyannote[541].speaker SPEAKER_31
transcript.pyannote[541].start 4251.99096875
transcript.pyannote[541].end 4260.76596875
transcript.pyannote[542].speaker SPEAKER_19
transcript.pyannote[542].start 4265.11971875
transcript.pyannote[542].end 4268.24159375
transcript.pyannote[543].speaker SPEAKER_19
transcript.pyannote[543].start 4270.26659375
transcript.pyannote[543].end 4271.56596875
transcript.pyannote[544].speaker SPEAKER_31
transcript.pyannote[544].start 4272.44346875
transcript.pyannote[544].end 4273.27034375
transcript.pyannote[545].speaker SPEAKER_31
transcript.pyannote[545].start 4274.35034375
transcript.pyannote[545].end 4287.36096875
transcript.pyannote[546].speaker SPEAKER_31
transcript.pyannote[546].start 4287.95159375
transcript.pyannote[546].end 4292.54159375
transcript.pyannote[547].speaker SPEAKER_31
transcript.pyannote[547].start 4292.87909375
transcript.pyannote[547].end 4293.84096875
transcript.pyannote[548].speaker SPEAKER_19
transcript.pyannote[548].start 4294.98846875
transcript.pyannote[548].end 4300.77659375
transcript.pyannote[549].speaker SPEAKER_31
transcript.pyannote[549].start 4297.72221875
transcript.pyannote[549].end 4298.11034375
transcript.pyannote[550].speaker SPEAKER_31
transcript.pyannote[550].start 4305.02909375
transcript.pyannote[550].end 4306.80096875
transcript.pyannote[551].speaker SPEAKER_19
transcript.pyannote[551].start 4306.80096875
transcript.pyannote[551].end 4306.96971875
transcript.pyannote[552].speaker SPEAKER_19
transcript.pyannote[552].start 4307.22284375
transcript.pyannote[552].end 4308.77534375
transcript.pyannote[553].speaker SPEAKER_31
transcript.pyannote[553].start 4310.29409375
transcript.pyannote[553].end 4312.85909375
transcript.pyannote[554].speaker SPEAKER_19
transcript.pyannote[554].start 4312.85909375
transcript.pyannote[554].end 4313.26409375
transcript.pyannote[555].speaker SPEAKER_19
transcript.pyannote[555].start 4313.53409375
transcript.pyannote[555].end 4313.90534375
transcript.pyannote[556].speaker SPEAKER_19
transcript.pyannote[556].start 4314.12471875
transcript.pyannote[556].end 4314.76596875
transcript.pyannote[557].speaker SPEAKER_19
transcript.pyannote[557].start 4314.78284375
transcript.pyannote[557].end 4315.42409375
transcript.pyannote[558].speaker SPEAKER_31
transcript.pyannote[558].start 4314.85034375
transcript.pyannote[558].end 4316.77409375
transcript.pyannote[559].speaker SPEAKER_19
transcript.pyannote[559].start 4316.57159375
transcript.pyannote[559].end 4320.21659375
transcript.pyannote[560].speaker SPEAKER_31
transcript.pyannote[560].start 4320.13221875
transcript.pyannote[560].end 4320.19971875
transcript.pyannote[561].speaker SPEAKER_31
transcript.pyannote[561].start 4320.21659375
transcript.pyannote[561].end 4324.77284375
transcript.pyannote[562].speaker SPEAKER_31
transcript.pyannote[562].start 4325.21159375
transcript.pyannote[562].end 4338.18846875
transcript.pyannote[563].speaker SPEAKER_31
transcript.pyannote[563].start 4344.21284375
transcript.pyannote[563].end 4344.75284375
transcript.pyannote[564].speaker SPEAKER_31
transcript.pyannote[564].start 4346.20409375
transcript.pyannote[564].end 4347.08159375
transcript.pyannote[565].speaker SPEAKER_31
transcript.pyannote[565].start 4347.84096875
transcript.pyannote[565].end 4365.86346875
transcript.pyannote[566].speaker SPEAKER_31
transcript.pyannote[566].start 4366.52159375
transcript.pyannote[566].end 4368.64784375
transcript.pyannote[567].speaker SPEAKER_31
transcript.pyannote[567].start 4369.18784375
transcript.pyannote[567].end 4372.98471875
transcript.pyannote[568].speaker SPEAKER_31
transcript.pyannote[568].start 4374.50346875
transcript.pyannote[568].end 4375.63409375
transcript.pyannote[569].speaker SPEAKER_31
transcript.pyannote[569].start 4375.97159375
transcript.pyannote[569].end 4388.42534375
transcript.pyannote[570].speaker SPEAKER_31
transcript.pyannote[570].start 4388.77971875
transcript.pyannote[570].end 4389.67409375
transcript.pyannote[571].speaker SPEAKER_31
transcript.pyannote[571].start 4389.89346875
transcript.pyannote[571].end 4396.49159375
transcript.pyannote[572].speaker SPEAKER_31
transcript.pyannote[572].start 4397.28471875
transcript.pyannote[572].end 4403.49471875
transcript.pyannote[573].speaker SPEAKER_31
transcript.pyannote[573].start 4403.91659375
transcript.pyannote[573].end 4407.13971875
transcript.pyannote[574].speaker SPEAKER_31
transcript.pyannote[574].start 4407.73034375
transcript.pyannote[574].end 4412.48909375
transcript.pyannote[575].speaker SPEAKER_31
transcript.pyannote[575].start 4412.97846875
transcript.pyannote[575].end 4414.44659375
transcript.pyannote[576].speaker SPEAKER_31
transcript.pyannote[576].start 4415.05409375
transcript.pyannote[576].end 4416.23534375
transcript.pyannote[577].speaker SPEAKER_31
transcript.pyannote[577].start 4417.53471875
transcript.pyannote[577].end 4423.93034375
transcript.pyannote[578].speaker SPEAKER_31
transcript.pyannote[578].start 4424.74034375
transcript.pyannote[578].end 4428.14909375
transcript.pyannote[579].speaker SPEAKER_31
transcript.pyannote[579].start 4429.17846875
transcript.pyannote[579].end 4429.58346875
transcript.pyannote[580].speaker SPEAKER_36
transcript.pyannote[580].start 4432.90784375
transcript.pyannote[580].end 4433.48159375
transcript.pyannote[581].speaker SPEAKER_36
transcript.pyannote[581].start 4434.78096875
transcript.pyannote[581].end 4438.07159375
transcript.pyannote[582].speaker SPEAKER_13
transcript.pyannote[582].start 4439.42159375
transcript.pyannote[582].end 4439.57346875
transcript.pyannote[583].speaker SPEAKER_31
transcript.pyannote[583].start 4450.27221875
transcript.pyannote[583].end 4450.60971875
transcript.pyannote[584].speaker SPEAKER_31
transcript.pyannote[584].start 4452.06096875
transcript.pyannote[584].end 4456.14471875
transcript.pyannote[585].speaker SPEAKER_31
transcript.pyannote[585].start 4457.35971875
transcript.pyannote[585].end 4463.53596875
transcript.pyannote[586].speaker SPEAKER_31
transcript.pyannote[586].start 4464.16034375
transcript.pyannote[586].end 4467.67034375
transcript.pyannote[587].speaker SPEAKER_31
transcript.pyannote[587].start 4468.05846875
transcript.pyannote[587].end 4471.68659375
transcript.pyannote[588].speaker SPEAKER_31
transcript.pyannote[588].start 4472.02409375
transcript.pyannote[588].end 4475.14596875
transcript.pyannote[589].speaker SPEAKER_31
transcript.pyannote[589].start 4475.97284375
transcript.pyannote[589].end 4477.06971875
transcript.pyannote[590].speaker SPEAKER_31
transcript.pyannote[590].start 4477.18784375
transcript.pyannote[590].end 4477.45784375
transcript.pyannote[591].speaker SPEAKER_31
transcript.pyannote[591].start 4478.23409375
transcript.pyannote[591].end 4480.71471875
transcript.pyannote[592].speaker SPEAKER_36
transcript.pyannote[592].start 4489.92846875
transcript.pyannote[592].end 4496.59409375
transcript.pyannote[593].speaker SPEAKER_36
transcript.pyannote[593].start 4497.69096875
transcript.pyannote[593].end 4505.23409375
transcript.pyannote[594].speaker SPEAKER_31
transcript.pyannote[594].start 4506.39846875
transcript.pyannote[594].end 4510.48221875
transcript.pyannote[595].speaker SPEAKER_36
transcript.pyannote[595].start 4508.92971875
transcript.pyannote[595].end 4509.21659375
transcript.pyannote[596].speaker SPEAKER_36
transcript.pyannote[596].start 4509.99284375
transcript.pyannote[596].end 4515.39284375
transcript.pyannote[597].speaker SPEAKER_36
transcript.pyannote[597].start 4516.15221875
transcript.pyannote[597].end 4517.41784375
transcript.pyannote[598].speaker SPEAKER_36
transcript.pyannote[598].start 4519.91534375
transcript.pyannote[598].end 4520.87721875
transcript.pyannote[599].speaker SPEAKER_33
transcript.pyannote[599].start 4521.02909375
transcript.pyannote[599].end 4521.33284375
transcript.pyannote[600].speaker SPEAKER_36
transcript.pyannote[600].start 4521.70409375
transcript.pyannote[600].end 4523.74596875
transcript.pyannote[601].speaker SPEAKER_36
transcript.pyannote[601].start 4523.98221875
transcript.pyannote[601].end 4526.49659375
transcript.pyannote[602].speaker SPEAKER_36
transcript.pyannote[602].start 4527.00284375
transcript.pyannote[602].end 4529.78721875
transcript.pyannote[603].speaker SPEAKER_36
transcript.pyannote[603].start 4530.37784375
transcript.pyannote[603].end 4534.61346875
transcript.pyannote[604].speaker SPEAKER_36
transcript.pyannote[604].start 4535.49096875
transcript.pyannote[604].end 4542.25784375
transcript.pyannote[605].speaker SPEAKER_36
transcript.pyannote[605].start 4542.76409375
transcript.pyannote[605].end 4552.51784375
transcript.pyannote[606].speaker SPEAKER_36
transcript.pyannote[606].start 4553.05784375
transcript.pyannote[606].end 4572.93659375
transcript.pyannote[607].speaker SPEAKER_36
transcript.pyannote[607].start 4573.86471875
transcript.pyannote[607].end 4594.89096875
transcript.pyannote[608].speaker SPEAKER_36
transcript.pyannote[608].start 4595.46471875
transcript.pyannote[608].end 4615.14096875
transcript.pyannote[609].speaker SPEAKER_36
transcript.pyannote[609].start 4616.62596875
transcript.pyannote[609].end 4618.06034375
transcript.pyannote[610].speaker SPEAKER_36
transcript.pyannote[610].start 4618.60034375
transcript.pyannote[610].end 4643.57534375
transcript.pyannote[611].speaker SPEAKER_36
transcript.pyannote[611].start 4644.45284375
transcript.pyannote[611].end 4650.44346875
transcript.pyannote[612].speaker SPEAKER_36
transcript.pyannote[612].start 4651.20284375
transcript.pyannote[612].end 4653.58221875
transcript.pyannote[613].speaker SPEAKER_36
transcript.pyannote[613].start 4653.98721875
transcript.pyannote[613].end 4682.91096875
transcript.pyannote[614].speaker SPEAKER_36
transcript.pyannote[614].start 4684.07534375
transcript.pyannote[614].end 4684.41284375
transcript.pyannote[615].speaker SPEAKER_36
transcript.pyannote[615].start 4685.15534375
transcript.pyannote[615].end 4687.36596875
transcript.pyannote[616].speaker SPEAKER_36
transcript.pyannote[616].start 4687.87221875
transcript.pyannote[616].end 4691.65221875
transcript.pyannote[617].speaker SPEAKER_36
transcript.pyannote[617].start 4692.52971875
transcript.pyannote[617].end 4696.00596875
transcript.pyannote[618].speaker SPEAKER_36
transcript.pyannote[618].start 4696.41096875
transcript.pyannote[618].end 4697.52471875
transcript.pyannote[619].speaker SPEAKER_36
transcript.pyannote[619].start 4698.65534375
transcript.pyannote[619].end 4699.19534375
transcript.pyannote[620].speaker SPEAKER_36
transcript.pyannote[620].start 4700.56221875
transcript.pyannote[620].end 4701.43971875
transcript.pyannote[621].speaker SPEAKER_36
transcript.pyannote[621].start 4702.33409375
transcript.pyannote[621].end 4703.81909375
transcript.pyannote[622].speaker SPEAKER_36
transcript.pyannote[622].start 4705.05096875
transcript.pyannote[622].end 4707.00846875
transcript.pyannote[623].speaker SPEAKER_36
transcript.pyannote[623].start 4707.58221875
transcript.pyannote[623].end 4716.64409375
transcript.pyannote[624].speaker SPEAKER_36
transcript.pyannote[624].start 4717.94346875
transcript.pyannote[624].end 4722.60096875
transcript.pyannote[625].speaker SPEAKER_36
transcript.pyannote[625].start 4723.49534375
transcript.pyannote[625].end 4730.63346875
transcript.pyannote[626].speaker SPEAKER_36
transcript.pyannote[626].start 4730.95409375
transcript.pyannote[626].end 4733.36721875
transcript.pyannote[627].speaker SPEAKER_36
transcript.pyannote[627].start 4734.59909375
transcript.pyannote[627].end 4735.56096875
transcript.pyannote[628].speaker SPEAKER_28
transcript.pyannote[628].start 4736.97846875
transcript.pyannote[628].end 4752.30096875
transcript.pyannote[629].speaker SPEAKER_36
transcript.pyannote[629].start 4751.27159375
transcript.pyannote[629].end 4755.49034375
transcript.pyannote[630].speaker SPEAKER_36
transcript.pyannote[630].start 4755.87846875
transcript.pyannote[630].end 4766.61096875
transcript.pyannote[631].speaker SPEAKER_36
transcript.pyannote[631].start 4768.11284375
transcript.pyannote[631].end 4791.06284375
transcript.pyannote[632].speaker SPEAKER_36
transcript.pyannote[632].start 4791.85596875
transcript.pyannote[632].end 4794.74159375
transcript.pyannote[633].speaker SPEAKER_08
transcript.pyannote[633].start 4793.64471875
transcript.pyannote[633].end 4794.33659375
transcript.pyannote[634].speaker SPEAKER_08
transcript.pyannote[634].start 4794.92721875
transcript.pyannote[634].end 4797.74534375
transcript.pyannote[635].speaker SPEAKER_08
transcript.pyannote[635].start 4798.06596875
transcript.pyannote[635].end 4800.52971875
transcript.pyannote[636].speaker SPEAKER_08
transcript.pyannote[636].start 4801.05284375
transcript.pyannote[636].end 4802.74034375
transcript.pyannote[637].speaker SPEAKER_08
transcript.pyannote[637].start 4803.01034375
transcript.pyannote[637].end 4804.12409375
transcript.pyannote[638].speaker SPEAKER_08
transcript.pyannote[638].start 4804.27596875
transcript.pyannote[638].end 4805.18721875
transcript.pyannote[639].speaker SPEAKER_08
transcript.pyannote[639].start 4805.50784375
transcript.pyannote[639].end 4814.75534375
transcript.pyannote[640].speaker SPEAKER_36
transcript.pyannote[640].start 4814.51909375
transcript.pyannote[640].end 4858.29284375
transcript.pyannote[641].speaker SPEAKER_36
transcript.pyannote[641].start 4858.44471875
transcript.pyannote[641].end 4862.66346875
transcript.pyannote[642].speaker SPEAKER_36
transcript.pyannote[642].start 4863.03471875
transcript.pyannote[642].end 4868.50221875
transcript.pyannote[643].speaker SPEAKER_36
transcript.pyannote[643].start 4869.27846875
transcript.pyannote[643].end 4871.94471875
transcript.pyannote[644].speaker SPEAKER_36
transcript.pyannote[644].start 4872.28221875
transcript.pyannote[644].end 4903.95659375
transcript.pyannote[645].speaker SPEAKER_36
transcript.pyannote[645].start 4904.66534375
transcript.pyannote[645].end 4905.67784375
transcript.pyannote[646].speaker SPEAKER_36
transcript.pyannote[646].start 4906.57221875
transcript.pyannote[646].end 4910.77409375
transcript.pyannote[647].speaker SPEAKER_36
transcript.pyannote[647].start 4911.51659375
transcript.pyannote[647].end 4929.94409375
transcript.pyannote[648].speaker SPEAKER_36
transcript.pyannote[648].start 4930.66971875
transcript.pyannote[648].end 4935.07409375
transcript.pyannote[649].speaker SPEAKER_36
transcript.pyannote[649].start 4935.58034375
transcript.pyannote[649].end 4938.06096875
transcript.pyannote[650].speaker SPEAKER_36
transcript.pyannote[650].start 4939.71471875
transcript.pyannote[650].end 4941.06471875
transcript.pyannote[651].speaker SPEAKER_36
transcript.pyannote[651].start 4941.60471875
transcript.pyannote[651].end 4944.20346875
transcript.pyannote[652].speaker SPEAKER_36
transcript.pyannote[652].start 4945.01346875
transcript.pyannote[652].end 4947.64596875
transcript.pyannote[653].speaker SPEAKER_36
transcript.pyannote[653].start 4948.21971875
transcript.pyannote[653].end 4948.96221875
transcript.pyannote[654].speaker SPEAKER_36
transcript.pyannote[654].start 4949.41784375
transcript.pyannote[654].end 4954.34534375
transcript.pyannote[655].speaker SPEAKER_36
transcript.pyannote[655].start 4955.34096875
transcript.pyannote[655].end 4959.28971875
transcript.pyannote[656].speaker SPEAKER_36
transcript.pyannote[656].start 4959.93096875
transcript.pyannote[656].end 4960.85909375
transcript.pyannote[657].speaker SPEAKER_36
transcript.pyannote[657].start 4961.63534375
transcript.pyannote[657].end 4962.90096875
transcript.pyannote[658].speaker SPEAKER_36
transcript.pyannote[658].start 4963.54221875
transcript.pyannote[658].end 4983.48846875
transcript.pyannote[659].speaker SPEAKER_36
transcript.pyannote[659].start 4983.97784375
transcript.pyannote[659].end 4986.57659375
transcript.pyannote[660].speaker SPEAKER_36
transcript.pyannote[660].start 4987.60596875
transcript.pyannote[660].end 4988.41596875
transcript.pyannote[661].speaker SPEAKER_36
transcript.pyannote[661].start 4990.22159375
transcript.pyannote[661].end 4990.23846875
transcript.pyannote[662].speaker SPEAKER_28
transcript.pyannote[662].start 4990.23846875
transcript.pyannote[662].end 4990.54221875
transcript.pyannote[663].speaker SPEAKER_36
transcript.pyannote[663].start 4990.54221875
transcript.pyannote[663].end 4991.18346875
transcript.pyannote[664].speaker SPEAKER_28
transcript.pyannote[664].start 4991.18346875
transcript.pyannote[664].end 4996.31346875
transcript.pyannote[665].speaker SPEAKER_36
transcript.pyannote[665].start 4995.77346875
transcript.pyannote[665].end 4996.90409375
transcript.pyannote[666].speaker SPEAKER_36
transcript.pyannote[666].start 4997.57909375
transcript.pyannote[666].end 5002.01721875
transcript.pyannote[667].speaker SPEAKER_36
transcript.pyannote[667].start 5002.64159375
transcript.pyannote[667].end 5007.21471875
transcript.pyannote[668].speaker SPEAKER_36
transcript.pyannote[668].start 5008.19346875
transcript.pyannote[668].end 5013.57659375
transcript.pyannote[669].speaker SPEAKER_36
transcript.pyannote[669].start 5013.88034375
transcript.pyannote[669].end 5018.14971875
transcript.pyannote[670].speaker SPEAKER_36
transcript.pyannote[670].start 5019.19596875
transcript.pyannote[670].end 5019.98909375
transcript.pyannote[671].speaker SPEAKER_28
transcript.pyannote[671].start 5020.73159375
transcript.pyannote[671].end 5029.08471875
transcript.pyannote[672].speaker SPEAKER_36
transcript.pyannote[672].start 5029.08471875
transcript.pyannote[672].end 5032.05471875
transcript.pyannote[673].speaker SPEAKER_28
transcript.pyannote[673].start 5029.72596875
transcript.pyannote[673].end 5029.91159375
transcript.pyannote[674].speaker SPEAKER_36
transcript.pyannote[674].start 5032.61159375
transcript.pyannote[674].end 5051.02221875
transcript.pyannote[675].speaker SPEAKER_36
transcript.pyannote[675].start 5051.10659375
transcript.pyannote[675].end 5075.45721875
transcript.pyannote[676].speaker SPEAKER_36
transcript.pyannote[676].start 5076.08159375
transcript.pyannote[676].end 5099.48721875
transcript.pyannote[677].speaker SPEAKER_36
transcript.pyannote[677].start 5100.26346875
transcript.pyannote[677].end 5122.08284375
transcript.pyannote[678].speaker SPEAKER_36
transcript.pyannote[678].start 5122.85909375
transcript.pyannote[678].end 5136.84846875
transcript.pyannote[679].speaker SPEAKER_36
transcript.pyannote[679].start 5137.55721875
transcript.pyannote[679].end 5157.45284375
transcript.pyannote[680].speaker SPEAKER_08
transcript.pyannote[680].start 5156.55846875
transcript.pyannote[680].end 5156.89596875
transcript.pyannote[681].speaker SPEAKER_08
transcript.pyannote[681].start 5156.98034375
transcript.pyannote[681].end 5165.58659375
transcript.pyannote[682].speaker SPEAKER_08
transcript.pyannote[682].start 5165.75534375
transcript.pyannote[682].end 5169.09659375
transcript.pyannote[683].speaker SPEAKER_08
transcript.pyannote[683].start 5169.33284375
transcript.pyannote[683].end 5172.70784375
transcript.pyannote[684].speaker SPEAKER_08
transcript.pyannote[684].start 5172.79221875
transcript.pyannote[684].end 5176.31909375
transcript.pyannote[685].speaker SPEAKER_36
transcript.pyannote[685].start 5172.82596875
transcript.pyannote[685].end 5174.51346875
transcript.pyannote[686].speaker SPEAKER_08
transcript.pyannote[686].start 5176.79159375
transcript.pyannote[686].end 5181.43221875
transcript.pyannote[687].speaker SPEAKER_08
transcript.pyannote[687].start 5181.68534375
transcript.pyannote[687].end 5183.44034375
transcript.pyannote[688].speaker SPEAKER_36
transcript.pyannote[688].start 5181.80346875
transcript.pyannote[688].end 5182.00596875
transcript.pyannote[689].speaker SPEAKER_36
transcript.pyannote[689].start 5183.67659375
transcript.pyannote[689].end 5184.73971875
transcript.pyannote[690].speaker SPEAKER_36
transcript.pyannote[690].start 5186.71409375
transcript.pyannote[690].end 5187.01784375
transcript.pyannote[691].speaker SPEAKER_36
transcript.pyannote[691].start 5187.15284375
transcript.pyannote[691].end 5187.22034375
transcript.pyannote[692].speaker SPEAKER_31
transcript.pyannote[692].start 5187.22034375
transcript.pyannote[692].end 5187.65909375
transcript.pyannote[693].speaker SPEAKER_31
transcript.pyannote[693].start 5188.75596875
transcript.pyannote[693].end 5189.19471875
transcript.pyannote[694].speaker SPEAKER_31
transcript.pyannote[694].start 5191.20284375
transcript.pyannote[694].end 5193.10971875
transcript.pyannote[695].speaker SPEAKER_12
transcript.pyannote[695].start 5202.96471875
transcript.pyannote[695].end 5211.55409375
transcript.pyannote[696].speaker SPEAKER_12
transcript.pyannote[696].start 5211.97596875
transcript.pyannote[696].end 5212.11096875
transcript.pyannote[697].speaker SPEAKER_12
transcript.pyannote[697].start 5212.17846875
transcript.pyannote[697].end 5212.81971875
transcript.pyannote[698].speaker SPEAKER_12
transcript.pyannote[698].start 5217.47721875
transcript.pyannote[698].end 5217.49409375
transcript.pyannote[699].speaker SPEAKER_08
transcript.pyannote[699].start 5217.49409375
transcript.pyannote[699].end 5218.06784375
transcript.pyannote[700].speaker SPEAKER_12
transcript.pyannote[700].start 5218.06784375
transcript.pyannote[700].end 5223.13034375
transcript.pyannote[701].speaker SPEAKER_12
transcript.pyannote[701].start 5224.00784375
transcript.pyannote[701].end 5229.37409375
transcript.pyannote[702].speaker SPEAKER_12
transcript.pyannote[702].start 5229.99846875
transcript.pyannote[702].end 5234.95971875
transcript.pyannote[703].speaker SPEAKER_12
transcript.pyannote[703].start 5235.43221875
transcript.pyannote[703].end 5237.40659375
transcript.pyannote[704].speaker SPEAKER_12
transcript.pyannote[704].start 5238.45284375
transcript.pyannote[704].end 5241.94596875
transcript.pyannote[705].speaker SPEAKER_12
transcript.pyannote[705].start 5242.50284375
transcript.pyannote[705].end 5244.37596875
transcript.pyannote[706].speaker SPEAKER_08
transcript.pyannote[706].start 5244.74721875
transcript.pyannote[706].end 5247.29534375
transcript.pyannote[707].speaker SPEAKER_13
transcript.pyannote[707].start 5254.68659375
transcript.pyannote[707].end 5254.77096875
transcript.pyannote[708].speaker SPEAKER_18
transcript.pyannote[708].start 5257.67346875
transcript.pyannote[708].end 5257.84221875
transcript.pyannote[709].speaker SPEAKER_18
transcript.pyannote[709].start 5258.07846875
transcript.pyannote[709].end 5275.52721875
transcript.pyannote[710].speaker SPEAKER_12
transcript.pyannote[710].start 5271.76409375
transcript.pyannote[710].end 5272.18596875
transcript.pyannote[711].speaker SPEAKER_12
transcript.pyannote[711].start 5272.55721875
transcript.pyannote[711].end 5276.20221875
transcript.pyannote[712].speaker SPEAKER_18
transcript.pyannote[712].start 5276.35409375
transcript.pyannote[712].end 5279.49284375
transcript.pyannote[713].speaker SPEAKER_12
transcript.pyannote[713].start 5279.64471875
transcript.pyannote[713].end 5283.42471875
transcript.pyannote[714].speaker SPEAKER_12
transcript.pyannote[714].start 5283.96471875
transcript.pyannote[714].end 5285.77034375
transcript.pyannote[715].speaker SPEAKER_12
transcript.pyannote[715].start 5285.97284375
transcript.pyannote[715].end 5286.98534375
transcript.pyannote[716].speaker SPEAKER_18
transcript.pyannote[716].start 5287.13721875
transcript.pyannote[716].end 5287.69409375
transcript.pyannote[717].speaker SPEAKER_12
transcript.pyannote[717].start 5287.76159375
transcript.pyannote[717].end 5288.26784375
transcript.pyannote[718].speaker SPEAKER_18
transcript.pyannote[718].start 5288.20034375
transcript.pyannote[718].end 5295.55784375
transcript.pyannote[719].speaker SPEAKER_12
transcript.pyannote[719].start 5289.55034375
transcript.pyannote[719].end 5291.57534375
transcript.pyannote[720].speaker SPEAKER_12
transcript.pyannote[720].start 5295.55784375
transcript.pyannote[720].end 5298.39284375
transcript.pyannote[721].speaker SPEAKER_18
transcript.pyannote[721].start 5297.17784375
transcript.pyannote[721].end 5297.95409375
transcript.pyannote[722].speaker SPEAKER_12
transcript.pyannote[722].start 5298.52784375
transcript.pyannote[722].end 5300.63721875
transcript.pyannote[723].speaker SPEAKER_18
transcript.pyannote[723].start 5300.73846875
transcript.pyannote[723].end 5301.04221875
transcript.pyannote[724].speaker SPEAKER_12
transcript.pyannote[724].start 5301.04221875
transcript.pyannote[724].end 5305.22721875
transcript.pyannote[725].speaker SPEAKER_18
transcript.pyannote[725].start 5302.00409375
transcript.pyannote[725].end 5302.51034375
transcript.pyannote[726].speaker SPEAKER_18
transcript.pyannote[726].start 5303.70846875
transcript.pyannote[726].end 5304.23159375
transcript.pyannote[727].speaker SPEAKER_18
transcript.pyannote[727].start 5304.95721875
transcript.pyannote[727].end 5308.29846875
transcript.pyannote[728].speaker SPEAKER_12
transcript.pyannote[728].start 5308.29846875
transcript.pyannote[728].end 5315.89221875
transcript.pyannote[729].speaker SPEAKER_18
transcript.pyannote[729].start 5308.93971875
transcript.pyannote[729].end 5308.99034375
transcript.pyannote[730].speaker SPEAKER_18
transcript.pyannote[730].start 5310.35721875
transcript.pyannote[730].end 5310.50909375
transcript.pyannote[731].speaker SPEAKER_13
transcript.pyannote[731].start 5310.50909375
transcript.pyannote[731].end 5310.59346875
transcript.pyannote[732].speaker SPEAKER_18
transcript.pyannote[732].start 5310.59346875
transcript.pyannote[732].end 5310.76221875
transcript.pyannote[733].speaker SPEAKER_13
transcript.pyannote[733].start 5310.76221875
transcript.pyannote[733].end 5310.79596875
transcript.pyannote[734].speaker SPEAKER_18
transcript.pyannote[734].start 5310.79596875
transcript.pyannote[734].end 5311.38659375
transcript.pyannote[735].speaker SPEAKER_13
transcript.pyannote[735].start 5311.38659375
transcript.pyannote[735].end 5311.47096875
transcript.pyannote[736].speaker SPEAKER_18
transcript.pyannote[736].start 5314.76159375
transcript.pyannote[736].end 5314.96409375
transcript.pyannote[737].speaker SPEAKER_13
transcript.pyannote[737].start 5314.96409375
transcript.pyannote[737].end 5315.75721875
transcript.pyannote[738].speaker SPEAKER_12
transcript.pyannote[738].start 5316.66846875
transcript.pyannote[738].end 5320.58346875
transcript.pyannote[739].speaker SPEAKER_12
transcript.pyannote[739].start 5321.27534375
transcript.pyannote[739].end 5323.14846875
transcript.pyannote[740].speaker SPEAKER_12
transcript.pyannote[740].start 5323.50284375
transcript.pyannote[740].end 5326.60784375
transcript.pyannote[741].speaker SPEAKER_12
transcript.pyannote[741].start 5327.14784375
transcript.pyannote[741].end 5336.42909375
transcript.pyannote[742].speaker SPEAKER_12
transcript.pyannote[742].start 5337.15471875
transcript.pyannote[742].end 5346.13221875
transcript.pyannote[743].speaker SPEAKER_12
transcript.pyannote[743].start 5346.41909375
transcript.pyannote[743].end 5349.08534375
transcript.pyannote[744].speaker SPEAKER_12
transcript.pyannote[744].start 5349.79409375
transcript.pyannote[744].end 5353.74284375
transcript.pyannote[745].speaker SPEAKER_12
transcript.pyannote[745].start 5354.28284375
transcript.pyannote[745].end 5362.51784375
transcript.pyannote[746].speaker SPEAKER_12
transcript.pyannote[746].start 5362.78784375
transcript.pyannote[746].end 5365.77471875
transcript.pyannote[747].speaker SPEAKER_12
transcript.pyannote[747].start 5366.11221875
transcript.pyannote[747].end 5367.58034375
transcript.pyannote[748].speaker SPEAKER_12
transcript.pyannote[748].start 5368.37346875
transcript.pyannote[748].end 5370.39846875
transcript.pyannote[749].speaker SPEAKER_12
transcript.pyannote[749].start 5370.88784375
transcript.pyannote[749].end 5372.79471875
transcript.pyannote[750].speaker SPEAKER_12
transcript.pyannote[750].start 5373.16596875
transcript.pyannote[750].end 5373.50346875
transcript.pyannote[751].speaker SPEAKER_12
transcript.pyannote[751].start 5373.87471875
transcript.pyannote[751].end 5374.31346875
transcript.pyannote[752].speaker SPEAKER_12
transcript.pyannote[752].start 5374.33034375
transcript.pyannote[752].end 5378.80221875
transcript.pyannote[753].speaker SPEAKER_12
transcript.pyannote[753].start 5380.43909375
transcript.pyannote[753].end 5382.27846875
transcript.pyannote[754].speaker SPEAKER_12
transcript.pyannote[754].start 5382.53159375
transcript.pyannote[754].end 5384.45534375
transcript.pyannote[755].speaker SPEAKER_12
transcript.pyannote[755].start 5386.10909375
transcript.pyannote[755].end 5387.27346875
transcript.pyannote[756].speaker SPEAKER_12
transcript.pyannote[756].start 5388.08346875
transcript.pyannote[756].end 5389.87221875
transcript.pyannote[757].speaker SPEAKER_12
transcript.pyannote[757].start 5390.26034375
transcript.pyannote[757].end 5390.64846875
transcript.pyannote[758].speaker SPEAKER_12
transcript.pyannote[758].start 5390.74971875
transcript.pyannote[758].end 5394.59721875
transcript.pyannote[759].speaker SPEAKER_12
transcript.pyannote[759].start 5394.74909375
transcript.pyannote[759].end 5398.69784375
transcript.pyannote[760].speaker SPEAKER_12
transcript.pyannote[760].start 5398.93409375
transcript.pyannote[760].end 5399.82846875
transcript.pyannote[761].speaker SPEAKER_00
transcript.pyannote[761].start 5399.22096875
transcript.pyannote[761].end 5399.30534375
transcript.pyannote[762].speaker SPEAKER_12
transcript.pyannote[762].start 5400.04784375
transcript.pyannote[762].end 5404.63784375
transcript.pyannote[763].speaker SPEAKER_12
transcript.pyannote[763].start 5404.90784375
transcript.pyannote[763].end 5410.49346875
transcript.pyannote[764].speaker SPEAKER_12
transcript.pyannote[764].start 5410.81409375
transcript.pyannote[764].end 5416.02846875
transcript.pyannote[765].speaker SPEAKER_12
transcript.pyannote[765].start 5418.44159375
transcript.pyannote[765].end 5422.33971875
transcript.pyannote[766].speaker SPEAKER_12
transcript.pyannote[766].start 5422.66034375
transcript.pyannote[766].end 5427.62159375
transcript.pyannote[767].speaker SPEAKER_12
transcript.pyannote[767].start 5427.99284375
transcript.pyannote[767].end 5430.40596875
transcript.pyannote[768].speaker SPEAKER_12
transcript.pyannote[768].start 5430.74346875
transcript.pyannote[768].end 5432.22846875
transcript.pyannote[769].speaker SPEAKER_12
transcript.pyannote[769].start 5432.53221875
transcript.pyannote[769].end 5448.31034375
transcript.pyannote[770].speaker SPEAKER_12
transcript.pyannote[770].start 5448.91784375
transcript.pyannote[770].end 5449.28909375
transcript.pyannote[771].speaker SPEAKER_12
transcript.pyannote[771].start 5449.81221875
transcript.pyannote[771].end 5450.28471875
transcript.pyannote[772].speaker SPEAKER_12
transcript.pyannote[772].start 5450.55471875
transcript.pyannote[772].end 5460.30846875
transcript.pyannote[773].speaker SPEAKER_12
transcript.pyannote[773].start 5460.57846875
transcript.pyannote[773].end 5464.18971875
transcript.pyannote[774].speaker SPEAKER_12
transcript.pyannote[774].start 5464.81409375
transcript.pyannote[774].end 5467.17659375
transcript.pyannote[775].speaker SPEAKER_12
transcript.pyannote[775].start 5467.61534375
transcript.pyannote[775].end 5470.77096875
transcript.pyannote[776].speaker SPEAKER_12
transcript.pyannote[776].start 5470.87221875
transcript.pyannote[776].end 5472.91409375
transcript.pyannote[777].speaker SPEAKER_12
transcript.pyannote[777].start 5475.24284375
transcript.pyannote[777].end 5483.61284375
transcript.pyannote[778].speaker SPEAKER_12
transcript.pyannote[778].start 5485.23284375
transcript.pyannote[778].end 5496.15096875
transcript.pyannote[779].speaker SPEAKER_12
transcript.pyannote[779].start 5497.33221875
transcript.pyannote[779].end 5497.63596875
transcript.pyannote[780].speaker SPEAKER_12
transcript.pyannote[780].start 5498.53034375
transcript.pyannote[780].end 5501.02784375
transcript.pyannote[781].speaker SPEAKER_12
transcript.pyannote[781].start 5501.75346875
transcript.pyannote[781].end 5504.26784375
transcript.pyannote[782].speaker SPEAKER_12
transcript.pyannote[782].start 5504.82471875
transcript.pyannote[782].end 5515.84409375
transcript.pyannote[783].speaker SPEAKER_12
transcript.pyannote[783].start 5516.01284375
transcript.pyannote[783].end 5524.06221875
transcript.pyannote[784].speaker SPEAKER_12
transcript.pyannote[784].start 5524.51784375
transcript.pyannote[784].end 5526.44159375
transcript.pyannote[785].speaker SPEAKER_12
transcript.pyannote[785].start 5526.81284375
transcript.pyannote[785].end 5528.12909375
transcript.pyannote[786].speaker SPEAKER_12
transcript.pyannote[786].start 5528.80409375
transcript.pyannote[786].end 5536.33034375
transcript.pyannote[787].speaker SPEAKER_12
transcript.pyannote[787].start 5536.87034375
transcript.pyannote[787].end 5539.50284375
transcript.pyannote[788].speaker SPEAKER_12
transcript.pyannote[788].start 5539.73909375
transcript.pyannote[788].end 5556.19221875
transcript.pyannote[789].speaker SPEAKER_12
transcript.pyannote[789].start 5556.54659375
transcript.pyannote[789].end 5562.97596875
transcript.pyannote[790].speaker SPEAKER_12
transcript.pyannote[790].start 5563.22909375
transcript.pyannote[790].end 5574.61971875
transcript.pyannote[791].speaker SPEAKER_12
transcript.pyannote[791].start 5575.29471875
transcript.pyannote[791].end 5577.43784375
transcript.pyannote[792].speaker SPEAKER_12
transcript.pyannote[792].start 5577.96096875
transcript.pyannote[792].end 5580.93096875
transcript.pyannote[793].speaker SPEAKER_12
transcript.pyannote[793].start 5581.08284375
transcript.pyannote[793].end 5584.69409375
transcript.pyannote[794].speaker SPEAKER_12
transcript.pyannote[794].start 5585.79096875
transcript.pyannote[794].end 5587.83284375
transcript.pyannote[795].speaker SPEAKER_08
transcript.pyannote[795].start 5588.01846875
transcript.pyannote[795].end 5592.60846875
transcript.pyannote[796].speaker SPEAKER_12
transcript.pyannote[796].start 5589.38534375
transcript.pyannote[796].end 5590.27971875
transcript.pyannote[797].speaker SPEAKER_12
transcript.pyannote[797].start 5592.20346875
transcript.pyannote[797].end 5597.02971875
transcript.pyannote[798].speaker SPEAKER_12
transcript.pyannote[798].start 5597.26596875
transcript.pyannote[798].end 5602.48034375
transcript.pyannote[799].speaker SPEAKER_12
transcript.pyannote[799].start 5602.53096875
transcript.pyannote[799].end 5613.14534375
transcript.pyannote[800].speaker SPEAKER_12
transcript.pyannote[800].start 5613.39846875
transcript.pyannote[800].end 5614.03971875
transcript.pyannote[801].speaker SPEAKER_12
transcript.pyannote[801].start 5614.66409375
transcript.pyannote[801].end 5620.85721875
transcript.pyannote[802].speaker SPEAKER_12
transcript.pyannote[802].start 5620.87409375
transcript.pyannote[802].end 5622.17346875
transcript.pyannote[803].speaker SPEAKER_12
transcript.pyannote[803].start 5622.61221875
transcript.pyannote[803].end 5623.70909375
transcript.pyannote[804].speaker SPEAKER_12
transcript.pyannote[804].start 5623.89471875
transcript.pyannote[804].end 5626.96596875
transcript.pyannote[805].speaker SPEAKER_12
transcript.pyannote[805].start 5627.42159375
transcript.pyannote[805].end 5636.51721875
transcript.pyannote[806].speaker SPEAKER_12
transcript.pyannote[806].start 5637.20909375
transcript.pyannote[806].end 5660.32784375
transcript.pyannote[807].speaker SPEAKER_12
transcript.pyannote[807].start 5661.25596875
transcript.pyannote[807].end 5666.31846875
transcript.pyannote[808].speaker SPEAKER_12
transcript.pyannote[808].start 5666.43659375
transcript.pyannote[808].end 5671.56659375
transcript.pyannote[809].speaker SPEAKER_08
transcript.pyannote[809].start 5669.74409375
transcript.pyannote[809].end 5670.80721875
transcript.pyannote[810].speaker SPEAKER_12
transcript.pyannote[810].start 5673.18659375
transcript.pyannote[810].end 5673.96284375
transcript.pyannote[811].speaker SPEAKER_31
transcript.pyannote[811].start 5673.96284375
transcript.pyannote[811].end 5674.19909375
transcript.pyannote[812].speaker SPEAKER_31
transcript.pyannote[812].start 5677.35471875
transcript.pyannote[812].end 5680.00409375
transcript.pyannote[813].speaker SPEAKER_23
transcript.pyannote[813].start 5686.26471875
transcript.pyannote[813].end 5690.02784375
transcript.pyannote[814].speaker SPEAKER_23
transcript.pyannote[814].start 5690.17971875
transcript.pyannote[814].end 5693.03159375
transcript.pyannote[815].speaker SPEAKER_23
transcript.pyannote[815].start 5693.35221875
transcript.pyannote[815].end 5698.87034375
transcript.pyannote[816].speaker SPEAKER_23
transcript.pyannote[816].start 5699.29221875
transcript.pyannote[816].end 5704.21971875
transcript.pyannote[817].speaker SPEAKER_31
transcript.pyannote[817].start 5704.38846875
transcript.pyannote[817].end 5704.72596875
transcript.pyannote[818].speaker SPEAKER_31
transcript.pyannote[818].start 5704.96221875
transcript.pyannote[818].end 5710.21034375
transcript.pyannote[819].speaker SPEAKER_31
transcript.pyannote[819].start 5710.69971875
transcript.pyannote[819].end 5715.00284375
transcript.pyannote[820].speaker SPEAKER_31
transcript.pyannote[820].start 5715.08721875
transcript.pyannote[820].end 5718.74909375
transcript.pyannote[821].speaker SPEAKER_23
transcript.pyannote[821].start 5717.70284375
transcript.pyannote[821].end 5721.76971875
transcript.pyannote[822].speaker SPEAKER_31
transcript.pyannote[822].start 5721.36471875
transcript.pyannote[822].end 5721.70221875
transcript.pyannote[823].speaker SPEAKER_23
transcript.pyannote[823].start 5722.69784375
transcript.pyannote[823].end 5726.83221875
transcript.pyannote[824].speaker SPEAKER_23
transcript.pyannote[824].start 5727.57471875
transcript.pyannote[824].end 5732.43471875
transcript.pyannote[825].speaker SPEAKER_23
transcript.pyannote[825].start 5732.72159375
transcript.pyannote[825].end 5765.83034375
transcript.pyannote[826].speaker SPEAKER_23
transcript.pyannote[826].start 5766.40409375
transcript.pyannote[826].end 5769.99846875
transcript.pyannote[827].speaker SPEAKER_23
transcript.pyannote[827].start 5770.62284375
transcript.pyannote[827].end 5773.12034375
transcript.pyannote[828].speaker SPEAKER_23
transcript.pyannote[828].start 5774.18346875
transcript.pyannote[828].end 5775.68534375
transcript.pyannote[829].speaker SPEAKER_23
transcript.pyannote[829].start 5776.10721875
transcript.pyannote[829].end 5777.11971875
transcript.pyannote[830].speaker SPEAKER_23
transcript.pyannote[830].start 5778.04784375
transcript.pyannote[830].end 5787.10971875
transcript.pyannote[831].speaker SPEAKER_23
transcript.pyannote[831].start 5787.54846875
transcript.pyannote[831].end 5791.81784375
transcript.pyannote[832].speaker SPEAKER_23
transcript.pyannote[832].start 5792.42534375
transcript.pyannote[832].end 5797.25159375
transcript.pyannote[833].speaker SPEAKER_23
transcript.pyannote[833].start 5797.79159375
transcript.pyannote[833].end 5799.46221875
transcript.pyannote[834].speaker SPEAKER_23
transcript.pyannote[834].start 5799.96846875
transcript.pyannote[834].end 5803.03971875
transcript.pyannote[835].speaker SPEAKER_23
transcript.pyannote[835].start 5803.51221875
transcript.pyannote[835].end 5805.63846875
transcript.pyannote[836].speaker SPEAKER_23
transcript.pyannote[836].start 5805.90846875
transcript.pyannote[836].end 5814.90284375
transcript.pyannote[837].speaker SPEAKER_23
transcript.pyannote[837].start 5816.03346875
transcript.pyannote[837].end 5818.53096875
transcript.pyannote[838].speaker SPEAKER_23
transcript.pyannote[838].start 5819.07096875
transcript.pyannote[838].end 5821.82159375
transcript.pyannote[839].speaker SPEAKER_23
transcript.pyannote[839].start 5822.47971875
transcript.pyannote[839].end 5825.12909375
transcript.pyannote[840].speaker SPEAKER_23
transcript.pyannote[840].start 5825.41596875
transcript.pyannote[840].end 5827.13721875
transcript.pyannote[841].speaker SPEAKER_08
transcript.pyannote[841].start 5828.57159375
transcript.pyannote[841].end 5858.71034375
transcript.pyannote[842].speaker SPEAKER_08
transcript.pyannote[842].start 5858.86221875
transcript.pyannote[842].end 5859.92534375
transcript.pyannote[843].speaker SPEAKER_23
transcript.pyannote[843].start 5859.38534375
transcript.pyannote[843].end 5866.59096875
transcript.pyannote[844].speaker SPEAKER_23
transcript.pyannote[844].start 5866.87784375
transcript.pyannote[844].end 5871.28221875
transcript.pyannote[845].speaker SPEAKER_23
transcript.pyannote[845].start 5871.92346875
transcript.pyannote[845].end 5876.51346875
transcript.pyannote[846].speaker SPEAKER_23
transcript.pyannote[846].start 5877.42471875
transcript.pyannote[846].end 5887.51596875
transcript.pyannote[847].speaker SPEAKER_23
transcript.pyannote[847].start 5887.83659375
transcript.pyannote[847].end 5908.45784375
transcript.pyannote[848].speaker SPEAKER_23
transcript.pyannote[848].start 5909.45346875
transcript.pyannote[848].end 5914.24596875
transcript.pyannote[849].speaker SPEAKER_23
transcript.pyannote[849].start 5914.38096875
transcript.pyannote[849].end 5923.13909375
transcript.pyannote[850].speaker SPEAKER_23
transcript.pyannote[850].start 5924.13471875
transcript.pyannote[850].end 5925.45096875
transcript.pyannote[851].speaker SPEAKER_23
transcript.pyannote[851].start 5925.94034375
transcript.pyannote[851].end 5929.36596875
transcript.pyannote[852].speaker SPEAKER_23
transcript.pyannote[852].start 5929.99034375
transcript.pyannote[852].end 5937.06096875
transcript.pyannote[853].speaker SPEAKER_23
transcript.pyannote[853].start 5937.39846875
transcript.pyannote[853].end 5938.12409375
transcript.pyannote[854].speaker SPEAKER_23
transcript.pyannote[854].start 5938.83284375
transcript.pyannote[854].end 5942.61284375
transcript.pyannote[855].speaker SPEAKER_23
transcript.pyannote[855].start 5943.10221875
transcript.pyannote[855].end 5947.84409375
transcript.pyannote[856].speaker SPEAKER_23
transcript.pyannote[856].start 5948.65409375
transcript.pyannote[856].end 5949.10971875
transcript.pyannote[857].speaker SPEAKER_23
transcript.pyannote[857].start 5949.83534375
transcript.pyannote[857].end 5962.54221875
transcript.pyannote[858].speaker SPEAKER_23
transcript.pyannote[858].start 5963.33534375
transcript.pyannote[858].end 5974.54034375
transcript.pyannote[859].speaker SPEAKER_23
transcript.pyannote[859].start 5975.09721875
transcript.pyannote[859].end 5979.19784375
transcript.pyannote[860].speaker SPEAKER_23
transcript.pyannote[860].start 5979.61971875
transcript.pyannote[860].end 5984.49659375
transcript.pyannote[861].speaker SPEAKER_23
transcript.pyannote[861].start 5985.22221875
transcript.pyannote[861].end 5986.53846875
transcript.pyannote[862].speaker SPEAKER_23
transcript.pyannote[862].start 5986.92659375
transcript.pyannote[862].end 5992.59659375
transcript.pyannote[863].speaker SPEAKER_23
transcript.pyannote[863].start 5993.15346875
transcript.pyannote[863].end 5994.72284375
transcript.pyannote[864].speaker SPEAKER_23
transcript.pyannote[864].start 5994.97596875
transcript.pyannote[864].end 5998.89096875
transcript.pyannote[865].speaker SPEAKER_13
transcript.pyannote[865].start 6000.46034375
transcript.pyannote[865].end 6000.66284375
transcript.pyannote[866].speaker SPEAKER_13
transcript.pyannote[866].start 6001.50659375
transcript.pyannote[866].end 6001.72596875
transcript.pyannote[867].speaker SPEAKER_28
transcript.pyannote[867].start 6001.91159375
transcript.pyannote[867].end 6022.61721875
transcript.pyannote[868].speaker SPEAKER_28
transcript.pyannote[868].start 6022.83659375
transcript.pyannote[868].end 6023.46096875
transcript.pyannote[869].speaker SPEAKER_28
transcript.pyannote[869].start 6023.78159375
transcript.pyannote[869].end 6029.72159375
transcript.pyannote[870].speaker SPEAKER_28
transcript.pyannote[870].start 6030.02534375
transcript.pyannote[870].end 6051.84471875
transcript.pyannote[871].speaker SPEAKER_23
transcript.pyannote[871].start 6050.14034375
transcript.pyannote[871].end 6054.20721875
transcript.pyannote[872].speaker SPEAKER_23
transcript.pyannote[872].start 6054.84846875
transcript.pyannote[872].end 6057.21096875
transcript.pyannote[873].speaker SPEAKER_23
transcript.pyannote[873].start 6057.64971875
transcript.pyannote[873].end 6058.91534375
transcript.pyannote[874].speaker SPEAKER_23
transcript.pyannote[874].start 6059.11784375
transcript.pyannote[874].end 6059.86034375
transcript.pyannote[875].speaker SPEAKER_23
transcript.pyannote[875].start 6059.94471875
transcript.pyannote[875].end 6064.41659375
transcript.pyannote[876].speaker SPEAKER_23
transcript.pyannote[876].start 6064.88909375
transcript.pyannote[876].end 6093.32346875
transcript.pyannote[877].speaker SPEAKER_23
transcript.pyannote[877].start 6093.50909375
transcript.pyannote[877].end 6099.56721875
transcript.pyannote[878].speaker SPEAKER_23
transcript.pyannote[878].start 6100.17471875
transcript.pyannote[878].end 6109.59096875
transcript.pyannote[879].speaker SPEAKER_23
transcript.pyannote[879].start 6109.86096875
transcript.pyannote[879].end 6117.45471875
transcript.pyannote[880].speaker SPEAKER_23
transcript.pyannote[880].start 6117.82596875
transcript.pyannote[880].end 6119.12534375
transcript.pyannote[881].speaker SPEAKER_23
transcript.pyannote[881].start 6119.63159375
transcript.pyannote[881].end 6124.40721875
transcript.pyannote[882].speaker SPEAKER_23
transcript.pyannote[882].start 6124.91346875
transcript.pyannote[882].end 6127.15784375
transcript.pyannote[883].speaker SPEAKER_23
transcript.pyannote[883].start 6127.74846875
transcript.pyannote[883].end 6135.66284375
transcript.pyannote[884].speaker SPEAKER_23
transcript.pyannote[884].start 6135.98346875
transcript.pyannote[884].end 6155.32221875
transcript.pyannote[885].speaker SPEAKER_23
transcript.pyannote[885].start 6155.81159375
transcript.pyannote[885].end 6157.83659375
transcript.pyannote[886].speaker SPEAKER_23
transcript.pyannote[886].start 6158.71409375
transcript.pyannote[886].end 6165.97034375
transcript.pyannote[887].speaker SPEAKER_23
transcript.pyannote[887].start 6166.72971875
transcript.pyannote[887].end 6176.24721875
transcript.pyannote[888].speaker SPEAKER_23
transcript.pyannote[888].start 6176.80409375
transcript.pyannote[888].end 6193.05471875
transcript.pyannote[889].speaker SPEAKER_23
transcript.pyannote[889].start 6193.49346875
transcript.pyannote[889].end 6208.81596875
transcript.pyannote[890].speaker SPEAKER_23
transcript.pyannote[890].start 6208.93409375
transcript.pyannote[890].end 6212.34284375
transcript.pyannote[891].speaker SPEAKER_23
transcript.pyannote[891].start 6212.51159375
transcript.pyannote[891].end 6226.02846875
transcript.pyannote[892].speaker SPEAKER_23
transcript.pyannote[892].start 6227.10846875
transcript.pyannote[892].end 6245.97471875
transcript.pyannote[893].speaker SPEAKER_23
transcript.pyannote[893].start 6246.46409375
transcript.pyannote[893].end 6250.12596875
transcript.pyannote[894].speaker SPEAKER_23
transcript.pyannote[894].start 6250.48034375
transcript.pyannote[894].end 6255.98159375
transcript.pyannote[895].speaker SPEAKER_23
transcript.pyannote[895].start 6256.30221875
transcript.pyannote[895].end 6265.71846875
transcript.pyannote[896].speaker SPEAKER_23
transcript.pyannote[896].start 6267.62534375
transcript.pyannote[896].end 6276.50159375
transcript.pyannote[897].speaker SPEAKER_23
transcript.pyannote[897].start 6277.21034375
transcript.pyannote[897].end 6292.38096875
transcript.pyannote[898].speaker SPEAKER_23
transcript.pyannote[898].start 6292.73534375
transcript.pyannote[898].end 6299.99159375
transcript.pyannote[899].speaker SPEAKER_23
transcript.pyannote[899].start 6300.27846875
transcript.pyannote[899].end 6301.29096875
transcript.pyannote[900].speaker SPEAKER_23
transcript.pyannote[900].start 6302.03346875
transcript.pyannote[900].end 6305.54346875
transcript.pyannote[901].speaker SPEAKER_23
transcript.pyannote[901].start 6306.20159375
transcript.pyannote[901].end 6306.57284375
transcript.pyannote[902].speaker SPEAKER_23
transcript.pyannote[902].start 6307.50096875
transcript.pyannote[902].end 6314.16659375
transcript.pyannote[903].speaker SPEAKER_23
transcript.pyannote[903].start 6314.74034375
transcript.pyannote[903].end 6315.14534375
transcript.pyannote[904].speaker SPEAKER_23
transcript.pyannote[904].start 6315.41534375
transcript.pyannote[904].end 6318.08159375
transcript.pyannote[905].speaker SPEAKER_23
transcript.pyannote[905].start 6318.21659375
transcript.pyannote[905].end 6327.34596875
transcript.pyannote[906].speaker SPEAKER_23
transcript.pyannote[906].start 6327.58221875
transcript.pyannote[906].end 6330.94034375
transcript.pyannote[907].speaker SPEAKER_08
transcript.pyannote[907].start 6329.87721875
transcript.pyannote[907].end 6330.07971875
transcript.pyannote[908].speaker SPEAKER_08
transcript.pyannote[908].start 6330.94034375
transcript.pyannote[908].end 6331.07534375
transcript.pyannote[909].speaker SPEAKER_23
transcript.pyannote[909].start 6331.07534375
transcript.pyannote[909].end 6344.30534375
transcript.pyannote[910].speaker SPEAKER_08
transcript.pyannote[910].start 6344.79471875
transcript.pyannote[910].end 6354.59909375
transcript.pyannote[911].speaker SPEAKER_33
transcript.pyannote[911].start 6353.99159375
transcript.pyannote[911].end 6354.16034375
transcript.pyannote[912].speaker SPEAKER_31
transcript.pyannote[912].start 6355.02096875
transcript.pyannote[912].end 6355.45971875
transcript.pyannote[913].speaker SPEAKER_31
transcript.pyannote[913].start 6356.97846875
transcript.pyannote[913].end 6360.50534375
transcript.pyannote[914].speaker SPEAKER_31
transcript.pyannote[914].start 6360.94409375
transcript.pyannote[914].end 6364.62284375
transcript.pyannote[915].speaker SPEAKER_00
transcript.pyannote[915].start 6361.60221875
transcript.pyannote[915].end 6361.93971875
transcript.pyannote[916].speaker SPEAKER_11
transcript.pyannote[916].start 6369.21284375
transcript.pyannote[916].end 6372.82409375
transcript.pyannote[917].speaker SPEAKER_33
transcript.pyannote[917].start 6371.62596875
transcript.pyannote[917].end 6371.72721875
transcript.pyannote[918].speaker SPEAKER_33
transcript.pyannote[918].start 6373.53284375
transcript.pyannote[918].end 6374.15721875
transcript.pyannote[919].speaker SPEAKER_33
transcript.pyannote[919].start 6378.83159375
transcript.pyannote[919].end 6378.88221875
transcript.pyannote[920].speaker SPEAKER_11
transcript.pyannote[920].start 6378.88221875
transcript.pyannote[920].end 6378.96659375
transcript.pyannote[921].speaker SPEAKER_33
transcript.pyannote[921].start 6378.89909375
transcript.pyannote[921].end 6379.18596875
transcript.pyannote[922].speaker SPEAKER_20
transcript.pyannote[922].start 6379.18596875
transcript.pyannote[922].end 6379.20284375
transcript.pyannote[923].speaker SPEAKER_11
transcript.pyannote[923].start 6379.20284375
transcript.pyannote[923].end 6385.02471875
transcript.pyannote[924].speaker SPEAKER_33
transcript.pyannote[924].start 6380.80596875
transcript.pyannote[924].end 6381.48096875
transcript.pyannote[925].speaker SPEAKER_20
transcript.pyannote[925].start 6381.48096875
transcript.pyannote[925].end 6381.59909375
transcript.pyannote[926].speaker SPEAKER_06
transcript.pyannote[926].start 6381.59909375
transcript.pyannote[926].end 6381.63284375
transcript.pyannote[927].speaker SPEAKER_11
transcript.pyannote[927].start 6385.29471875
transcript.pyannote[927].end 6386.69534375
transcript.pyannote[928].speaker SPEAKER_11
transcript.pyannote[928].start 6386.83034375
transcript.pyannote[928].end 6408.73409375
transcript.pyannote[929].speaker SPEAKER_11
transcript.pyannote[929].start 6409.79721875
transcript.pyannote[929].end 6413.50971875
transcript.pyannote[930].speaker SPEAKER_08
transcript.pyannote[930].start 6410.42159375
transcript.pyannote[930].end 6411.51846875
transcript.pyannote[931].speaker SPEAKER_11
transcript.pyannote[931].start 6413.86409375
transcript.pyannote[931].end 6416.34471875
transcript.pyannote[932].speaker SPEAKER_08
transcript.pyannote[932].start 6413.88096875
transcript.pyannote[932].end 6414.43784375
transcript.pyannote[933].speaker SPEAKER_08
transcript.pyannote[933].start 6416.34471875
transcript.pyannote[933].end 6422.40284375
transcript.pyannote[934].speaker SPEAKER_11
transcript.pyannote[934].start 6422.40284375
transcript.pyannote[934].end 6422.41971875
transcript.pyannote[935].speaker SPEAKER_13
transcript.pyannote[935].start 6422.41971875
transcript.pyannote[935].end 6422.68971875
transcript.pyannote[936].speaker SPEAKER_08
transcript.pyannote[936].start 6422.68971875
transcript.pyannote[936].end 6426.68909375
transcript.pyannote[937].speaker SPEAKER_08
transcript.pyannote[937].start 6426.97596875
transcript.pyannote[937].end 6442.92284375
transcript.pyannote[938].speaker SPEAKER_11
transcript.pyannote[938].start 6443.04096875
transcript.pyannote[938].end 6444.52596875
transcript.pyannote[939].speaker SPEAKER_08
transcript.pyannote[939].start 6443.63159375
transcript.pyannote[939].end 6446.61846875
transcript.pyannote[940].speaker SPEAKER_11
transcript.pyannote[940].start 6446.61846875
transcript.pyannote[940].end 6451.20846875
transcript.pyannote[941].speaker SPEAKER_08
transcript.pyannote[941].start 6447.17534375
transcript.pyannote[941].end 6448.30596875
transcript.pyannote[942].speaker SPEAKER_08
transcript.pyannote[942].start 6449.36909375
transcript.pyannote[942].end 6450.44909375
transcript.pyannote[943].speaker SPEAKER_08
transcript.pyannote[943].start 6451.39409375
transcript.pyannote[943].end 6452.27159375
transcript.pyannote[944].speaker SPEAKER_08
transcript.pyannote[944].start 6453.38534375
transcript.pyannote[944].end 6456.74346875
transcript.pyannote[945].speaker SPEAKER_11
transcript.pyannote[945].start 6456.82784375
transcript.pyannote[945].end 6457.14846875
transcript.pyannote[946].speaker SPEAKER_08
transcript.pyannote[946].start 6456.91221875
transcript.pyannote[946].end 6459.86534375
transcript.pyannote[947].speaker SPEAKER_11
transcript.pyannote[947].start 6459.76409375
transcript.pyannote[947].end 6464.84346875
transcript.pyannote[948].speaker SPEAKER_08
transcript.pyannote[948].start 6460.86096875
transcript.pyannote[948].end 6462.44721875
transcript.pyannote[949].speaker SPEAKER_08
transcript.pyannote[949].start 6463.66221875
transcript.pyannote[949].end 6464.11784375
transcript.pyannote[950].speaker SPEAKER_08
transcript.pyannote[950].start 6464.55659375
transcript.pyannote[950].end 6465.41721875
transcript.pyannote[951].speaker SPEAKER_11
transcript.pyannote[951].start 6465.09659375
transcript.pyannote[951].end 6467.45909375
transcript.pyannote[952].speaker SPEAKER_11
transcript.pyannote[952].start 6468.50534375
transcript.pyannote[952].end 6469.14659375
transcript.pyannote[953].speaker SPEAKER_11
transcript.pyannote[953].start 6469.38284375
transcript.pyannote[953].end 6519.19784375
transcript.pyannote[954].speaker SPEAKER_11
transcript.pyannote[954].start 6519.36659375
transcript.pyannote[954].end 6535.54971875
transcript.pyannote[955].speaker SPEAKER_11
transcript.pyannote[955].start 6536.12346875
transcript.pyannote[955].end 6558.17909375
transcript.pyannote[956].speaker SPEAKER_11
transcript.pyannote[956].start 6559.14096875
transcript.pyannote[956].end 6575.56034375
transcript.pyannote[957].speaker SPEAKER_11
transcript.pyannote[957].start 6575.96534375
transcript.pyannote[957].end 6584.31846875
transcript.pyannote[958].speaker SPEAKER_11
transcript.pyannote[958].start 6584.45346875
transcript.pyannote[958].end 6585.04409375
transcript.pyannote[959].speaker SPEAKER_11
transcript.pyannote[959].start 6585.75284375
transcript.pyannote[959].end 6590.15721875
transcript.pyannote[960].speaker SPEAKER_11
transcript.pyannote[960].start 6590.19096875
transcript.pyannote[960].end 6592.46909375
transcript.pyannote[961].speaker SPEAKER_11
transcript.pyannote[961].start 6593.11034375
transcript.pyannote[961].end 6595.70909375
transcript.pyannote[962].speaker SPEAKER_11
transcript.pyannote[962].start 6596.24909375
transcript.pyannote[962].end 6598.57784375
transcript.pyannote[963].speaker SPEAKER_08
transcript.pyannote[963].start 6597.34596875
transcript.pyannote[963].end 6599.60721875
transcript.pyannote[964].speaker SPEAKER_11
transcript.pyannote[964].start 6598.81409375
transcript.pyannote[964].end 6621.57846875
transcript.pyannote[965].speaker SPEAKER_08
transcript.pyannote[965].start 6621.79784375
transcript.pyannote[965].end 6624.24471875
transcript.pyannote[966].speaker SPEAKER_11
transcript.pyannote[966].start 6623.31659375
transcript.pyannote[966].end 6623.73846875
transcript.pyannote[967].speaker SPEAKER_08
transcript.pyannote[967].start 6625.52721875
transcript.pyannote[967].end 6627.67034375
transcript.pyannote[968].speaker SPEAKER_05
transcript.pyannote[968].start 6627.92346875
transcript.pyannote[968].end 6637.50846875
transcript.pyannote[969].speaker SPEAKER_11
transcript.pyannote[969].start 6635.90534375
transcript.pyannote[969].end 6638.01471875
transcript.pyannote[970].speaker SPEAKER_05
transcript.pyannote[970].start 6637.77846875
transcript.pyannote[970].end 6649.42221875
transcript.pyannote[971].speaker SPEAKER_11
transcript.pyannote[971].start 6648.94971875
transcript.pyannote[971].end 6650.90721875
transcript.pyannote[972].speaker SPEAKER_05
transcript.pyannote[972].start 6651.14346875
transcript.pyannote[972].end 6664.93034375
transcript.pyannote[973].speaker SPEAKER_11
transcript.pyannote[973].start 6664.28909375
transcript.pyannote[973].end 6671.24159375
transcript.pyannote[974].speaker SPEAKER_11
transcript.pyannote[974].start 6671.84909375
transcript.pyannote[974].end 6689.68596875
transcript.pyannote[975].speaker SPEAKER_00
transcript.pyannote[975].start 6672.01784375
transcript.pyannote[975].end 6672.03471875
transcript.pyannote[976].speaker SPEAKER_05
transcript.pyannote[976].start 6672.03471875
transcript.pyannote[976].end 6672.20346875
transcript.pyannote[977].speaker SPEAKER_05
transcript.pyannote[977].start 6672.50721875
transcript.pyannote[977].end 6672.96284375
transcript.pyannote[978].speaker SPEAKER_00
transcript.pyannote[978].start 6672.96284375
transcript.pyannote[978].end 6672.97971875
transcript.pyannote[979].speaker SPEAKER_00
transcript.pyannote[979].start 6674.56596875
transcript.pyannote[979].end 6675.96659375
transcript.pyannote[980].speaker SPEAKER_00
transcript.pyannote[980].start 6681.80534375
transcript.pyannote[980].end 6681.82221875
transcript.pyannote[981].speaker SPEAKER_13
transcript.pyannote[981].start 6681.82221875
transcript.pyannote[981].end 6682.51409375
transcript.pyannote[982].speaker SPEAKER_13
transcript.pyannote[982].start 6684.08346875
transcript.pyannote[982].end 6684.26909375
transcript.pyannote[983].speaker SPEAKER_13
transcript.pyannote[983].start 6689.21346875
transcript.pyannote[983].end 6689.87159375
transcript.pyannote[984].speaker SPEAKER_11
transcript.pyannote[984].start 6689.87159375
transcript.pyannote[984].end 6717.51284375
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 6695.86221875
transcript.pyannote[985].end 6696.36846875
transcript.pyannote[986].speaker SPEAKER_13
transcript.pyannote[986].start 6696.48659375
transcript.pyannote[986].end 6696.75659375
transcript.pyannote[987].speaker SPEAKER_00
transcript.pyannote[987].start 6696.75659375
transcript.pyannote[987].end 6696.80721875
transcript.pyannote[988].speaker SPEAKER_00
transcript.pyannote[988].start 6709.15971875
transcript.pyannote[988].end 6709.44659375
transcript.pyannote[989].speaker SPEAKER_11
transcript.pyannote[989].start 6718.27221875
transcript.pyannote[989].end 6720.55034375
transcript.pyannote[990].speaker SPEAKER_11
transcript.pyannote[990].start 6720.97221875
transcript.pyannote[990].end 6728.26221875
transcript.pyannote[991].speaker SPEAKER_05
transcript.pyannote[991].start 6728.51534375
transcript.pyannote[991].end 6739.70346875
transcript.pyannote[992].speaker SPEAKER_11
transcript.pyannote[992].start 6739.09596875
transcript.pyannote[992].end 6784.92846875
transcript.pyannote[993].speaker SPEAKER_05
transcript.pyannote[993].start 6745.66034375
transcript.pyannote[993].end 6746.06534375
transcript.pyannote[994].speaker SPEAKER_00
transcript.pyannote[994].start 6755.36346875
transcript.pyannote[994].end 6755.73471875
transcript.pyannote[995].speaker SPEAKER_10
transcript.pyannote[995].start 6784.84409375
transcript.pyannote[995].end 6785.04659375
transcript.pyannote[996].speaker SPEAKER_11
transcript.pyannote[996].start 6785.04659375
transcript.pyannote[996].end 6796.06596875
transcript.pyannote[997].speaker SPEAKER_11
transcript.pyannote[997].start 6797.04471875
transcript.pyannote[997].end 6798.85034375
transcript.pyannote[998].speaker SPEAKER_11
transcript.pyannote[998].start 6799.47471875
transcript.pyannote[998].end 6817.68284375
transcript.pyannote[999].speaker SPEAKER_11
transcript.pyannote[999].start 6818.29034375
transcript.pyannote[999].end 6820.06221875
transcript.pyannote[1000].speaker SPEAKER_11
transcript.pyannote[1000].start 6820.78784375
transcript.pyannote[1000].end 6831.25034375
transcript.pyannote[1001].speaker SPEAKER_13
transcript.pyannote[1001].start 6831.33471875
transcript.pyannote[1001].end 6831.87471875
transcript.pyannote[1002].speaker SPEAKER_11
transcript.pyannote[1002].start 6831.62159375
transcript.pyannote[1002].end 6848.83409375
transcript.pyannote[1003].speaker SPEAKER_11
transcript.pyannote[1003].start 6849.94784375
transcript.pyannote[1003].end 6851.26409375
transcript.pyannote[1004].speaker SPEAKER_11
transcript.pyannote[1004].start 6851.31471875
transcript.pyannote[1004].end 6855.63471875
transcript.pyannote[1005].speaker SPEAKER_11
transcript.pyannote[1005].start 6856.02284375
transcript.pyannote[1005].end 6880.23846875
transcript.pyannote[1006].speaker SPEAKER_00
transcript.pyannote[1006].start 6857.30534375
transcript.pyannote[1006].end 6857.57534375
transcript.pyannote[1007].speaker SPEAKER_05
transcript.pyannote[1007].start 6880.28909375
transcript.pyannote[1007].end 6884.11971875
transcript.pyannote[1008].speaker SPEAKER_11
transcript.pyannote[1008].start 6881.63909375
transcript.pyannote[1008].end 6882.78659375
transcript.pyannote[1009].speaker SPEAKER_11
transcript.pyannote[1009].start 6883.34346875
transcript.pyannote[1009].end 6887.08971875
transcript.pyannote[1010].speaker SPEAKER_11
transcript.pyannote[1010].start 6887.25846875
transcript.pyannote[1010].end 6917.38034375
transcript.pyannote[1011].speaker SPEAKER_11
transcript.pyannote[1011].start 6918.02159375
transcript.pyannote[1011].end 6922.84784375
transcript.pyannote[1012].speaker SPEAKER_28
transcript.pyannote[1012].start 6923.33721875
transcript.pyannote[1012].end 6923.60721875
transcript.pyannote[1013].speaker SPEAKER_28
transcript.pyannote[1013].start 6923.82659375
transcript.pyannote[1013].end 6949.39221875
transcript.pyannote[1014].speaker SPEAKER_11
transcript.pyannote[1014].start 6927.50534375
transcript.pyannote[1014].end 6927.74159375
transcript.pyannote[1015].speaker SPEAKER_28
transcript.pyannote[1015].start 6949.54409375
transcript.pyannote[1015].end 6950.21909375
transcript.pyannote[1016].speaker SPEAKER_28
transcript.pyannote[1016].start 6950.60721875
transcript.pyannote[1016].end 6958.87596875
transcript.pyannote[1017].speaker SPEAKER_11
transcript.pyannote[1017].start 6958.62284375
transcript.pyannote[1017].end 6971.90346875
transcript.pyannote[1018].speaker SPEAKER_28
transcript.pyannote[1018].start 6961.82909375
transcript.pyannote[1018].end 6962.38596875
transcript.pyannote[1019].speaker SPEAKER_31
transcript.pyannote[1019].start 6972.64596875
transcript.pyannote[1019].end 6973.43909375
transcript.pyannote[1020].speaker SPEAKER_31
transcript.pyannote[1020].start 6975.21096875
transcript.pyannote[1020].end 6982.68659375
transcript.pyannote[1021].speaker SPEAKER_38
transcript.pyannote[1021].start 6992.05221875
transcript.pyannote[1021].end 6994.54971875
transcript.pyannote[1022].speaker SPEAKER_32
transcript.pyannote[1022].start 6994.95471875
transcript.pyannote[1022].end 6994.98846875
transcript.pyannote[1023].speaker SPEAKER_33
transcript.pyannote[1023].start 6994.98846875
transcript.pyannote[1023].end 6995.03909375
transcript.pyannote[1024].speaker SPEAKER_32
transcript.pyannote[1024].start 6995.03909375
transcript.pyannote[1024].end 6995.84909375
transcript.pyannote[1025].speaker SPEAKER_38
transcript.pyannote[1025].start 6996.43971875
transcript.pyannote[1025].end 6999.17346875
transcript.pyannote[1026].speaker SPEAKER_32
transcript.pyannote[1026].start 6999.22409375
transcript.pyannote[1026].end 7001.09721875
transcript.pyannote[1027].speaker SPEAKER_32
transcript.pyannote[1027].start 7001.18159375
transcript.pyannote[1027].end 7003.02096875
transcript.pyannote[1028].speaker SPEAKER_38
transcript.pyannote[1028].start 7003.02096875
transcript.pyannote[1028].end 7003.86471875
transcript.pyannote[1029].speaker SPEAKER_38
transcript.pyannote[1029].start 7004.05034375
transcript.pyannote[1029].end 7014.32721875
transcript.pyannote[1030].speaker SPEAKER_38
transcript.pyannote[1030].start 7015.00221875
transcript.pyannote[1030].end 7018.74846875
transcript.pyannote[1031].speaker SPEAKER_08
transcript.pyannote[1031].start 7015.13721875
transcript.pyannote[1031].end 7015.54221875
transcript.pyannote[1032].speaker SPEAKER_08
transcript.pyannote[1032].start 7019.03534375
transcript.pyannote[1032].end 7019.89596875
transcript.pyannote[1033].speaker SPEAKER_38
transcript.pyannote[1033].start 7019.89596875
transcript.pyannote[1033].end 7021.14471875
transcript.pyannote[1034].speaker SPEAKER_38
transcript.pyannote[1034].start 7021.54971875
transcript.pyannote[1034].end 7032.97409375
transcript.pyannote[1035].speaker SPEAKER_13
transcript.pyannote[1035].start 7027.40534375
transcript.pyannote[1035].end 7027.52346875
transcript.pyannote[1036].speaker SPEAKER_08
transcript.pyannote[1036].start 7027.52346875
transcript.pyannote[1036].end 7028.99159375
transcript.pyannote[1037].speaker SPEAKER_08
transcript.pyannote[1037].start 7032.97409375
transcript.pyannote[1037].end 7033.21034375
transcript.pyannote[1038].speaker SPEAKER_38
transcript.pyannote[1038].start 7033.31159375
transcript.pyannote[1038].end 7033.34534375
transcript.pyannote[1039].speaker SPEAKER_08
transcript.pyannote[1039].start 7033.34534375
transcript.pyannote[1039].end 7049.93346875
transcript.pyannote[1040].speaker SPEAKER_38
transcript.pyannote[1040].start 7050.76034375
transcript.pyannote[1040].end 7056.02534375
transcript.pyannote[1041].speaker SPEAKER_38
transcript.pyannote[1041].start 7056.10971875
transcript.pyannote[1041].end 7056.48096875
transcript.pyannote[1042].speaker SPEAKER_38
transcript.pyannote[1042].start 7056.76784375
transcript.pyannote[1042].end 7063.33221875
transcript.pyannote[1043].speaker SPEAKER_38
transcript.pyannote[1043].start 7063.80471875
transcript.pyannote[1043].end 7068.83346875
transcript.pyannote[1044].speaker SPEAKER_38
transcript.pyannote[1044].start 7069.57596875
transcript.pyannote[1044].end 7083.46409375
transcript.pyannote[1045].speaker SPEAKER_38
transcript.pyannote[1045].start 7083.76784375
transcript.pyannote[1045].end 7088.57721875
transcript.pyannote[1046].speaker SPEAKER_38
transcript.pyannote[1046].start 7088.98221875
transcript.pyannote[1046].end 7091.85096875
transcript.pyannote[1047].speaker SPEAKER_38
transcript.pyannote[1047].start 7092.05346875
transcript.pyannote[1047].end 7095.42846875
transcript.pyannote[1048].speaker SPEAKER_38
transcript.pyannote[1048].start 7095.64784375
transcript.pyannote[1048].end 7104.08534375
transcript.pyannote[1049].speaker SPEAKER_38
transcript.pyannote[1049].start 7104.37221875
transcript.pyannote[1049].end 7107.27471875
transcript.pyannote[1050].speaker SPEAKER_38
transcript.pyannote[1050].start 7107.67971875
transcript.pyannote[1050].end 7113.75471875
transcript.pyannote[1051].speaker SPEAKER_38
transcript.pyannote[1051].start 7114.17659375
transcript.pyannote[1051].end 7114.64909375
transcript.pyannote[1052].speaker SPEAKER_38
transcript.pyannote[1052].start 7115.64471875
transcript.pyannote[1052].end 7116.18471875
transcript.pyannote[1053].speaker SPEAKER_38
transcript.pyannote[1053].start 7116.72471875
transcript.pyannote[1053].end 7119.07034375
transcript.pyannote[1054].speaker SPEAKER_38
transcript.pyannote[1054].start 7119.74534375
transcript.pyannote[1054].end 7121.87159375
transcript.pyannote[1055].speaker SPEAKER_38
transcript.pyannote[1055].start 7122.54659375
transcript.pyannote[1055].end 7125.46596875
transcript.pyannote[1056].speaker SPEAKER_38
transcript.pyannote[1056].start 7126.44471875
transcript.pyannote[1056].end 7143.79221875
transcript.pyannote[1057].speaker SPEAKER_38
transcript.pyannote[1057].start 7144.80471875
transcript.pyannote[1057].end 7145.51346875
transcript.pyannote[1058].speaker SPEAKER_38
transcript.pyannote[1058].start 7146.15471875
transcript.pyannote[1058].end 7158.52409375
transcript.pyannote[1059].speaker SPEAKER_38
transcript.pyannote[1059].start 7158.77721875
transcript.pyannote[1059].end 7163.56971875
transcript.pyannote[1060].speaker SPEAKER_38
transcript.pyannote[1060].start 7164.88596875
transcript.pyannote[1060].end 7172.81721875
transcript.pyannote[1061].speaker SPEAKER_38
transcript.pyannote[1061].start 7172.88471875
transcript.pyannote[1061].end 7174.72409375
transcript.pyannote[1062].speaker SPEAKER_38
transcript.pyannote[1062].start 7175.11221875
transcript.pyannote[1062].end 7180.02284375
transcript.pyannote[1063].speaker SPEAKER_38
transcript.pyannote[1063].start 7180.34346875
transcript.pyannote[1063].end 7183.29659375
transcript.pyannote[1064].speaker SPEAKER_38
transcript.pyannote[1064].start 7183.61721875
transcript.pyannote[1064].end 7184.59596875
transcript.pyannote[1065].speaker SPEAKER_38
transcript.pyannote[1065].start 7185.10221875
transcript.pyannote[1065].end 7186.46909375
transcript.pyannote[1066].speaker SPEAKER_38
transcript.pyannote[1066].start 7187.65034375
transcript.pyannote[1066].end 7188.13971875
transcript.pyannote[1067].speaker SPEAKER_38
transcript.pyannote[1067].start 7188.86534375
transcript.pyannote[1067].end 7191.00846875
transcript.pyannote[1068].speaker SPEAKER_38
transcript.pyannote[1068].start 7191.17721875
transcript.pyannote[1068].end 7193.82659375
transcript.pyannote[1069].speaker SPEAKER_38
transcript.pyannote[1069].start 7194.56909375
transcript.pyannote[1069].end 7196.05409375
transcript.pyannote[1070].speaker SPEAKER_38
transcript.pyannote[1070].start 7196.27346875
transcript.pyannote[1070].end 7198.83846875
transcript.pyannote[1071].speaker SPEAKER_38
transcript.pyannote[1071].start 7199.37846875
transcript.pyannote[1071].end 7204.33971875
transcript.pyannote[1072].speaker SPEAKER_38
transcript.pyannote[1072].start 7204.84596875
transcript.pyannote[1072].end 7212.57471875
transcript.pyannote[1073].speaker SPEAKER_38
transcript.pyannote[1073].start 7213.45221875
transcript.pyannote[1073].end 7219.15596875
transcript.pyannote[1074].speaker SPEAKER_38
transcript.pyannote[1074].start 7219.78034375
transcript.pyannote[1074].end 7225.58534375
transcript.pyannote[1075].speaker SPEAKER_38
transcript.pyannote[1075].start 7226.04096875
transcript.pyannote[1075].end 7235.15346875
transcript.pyannote[1076].speaker SPEAKER_38
transcript.pyannote[1076].start 7235.50784375
transcript.pyannote[1076].end 7241.09346875
transcript.pyannote[1077].speaker SPEAKER_38
transcript.pyannote[1077].start 7241.80221875
transcript.pyannote[1077].end 7242.32534375
transcript.pyannote[1078].speaker SPEAKER_38
transcript.pyannote[1078].start 7242.94971875
transcript.pyannote[1078].end 7250.84721875
transcript.pyannote[1079].speaker SPEAKER_38
transcript.pyannote[1079].start 7251.23534375
transcript.pyannote[1079].end 7261.68096875
transcript.pyannote[1080].speaker SPEAKER_38
transcript.pyannote[1080].start 7263.90846875
transcript.pyannote[1080].end 7265.00534375
transcript.pyannote[1081].speaker SPEAKER_38
transcript.pyannote[1081].start 7265.84909375
transcript.pyannote[1081].end 7267.04721875
transcript.pyannote[1082].speaker SPEAKER_38
transcript.pyannote[1082].start 7267.53659375
transcript.pyannote[1082].end 7270.13534375
transcript.pyannote[1083].speaker SPEAKER_38
transcript.pyannote[1083].start 7270.74284375
transcript.pyannote[1083].end 7271.83971875
transcript.pyannote[1084].speaker SPEAKER_28
transcript.pyannote[1084].start 7273.29096875
transcript.pyannote[1084].end 7294.41846875
transcript.pyannote[1085].speaker SPEAKER_28
transcript.pyannote[1085].start 7294.58721875
transcript.pyannote[1085].end 7297.00034375
transcript.pyannote[1086].speaker SPEAKER_28
transcript.pyannote[1086].start 7297.06784375
transcript.pyannote[1086].end 7298.55284375
transcript.pyannote[1087].speaker SPEAKER_28
transcript.pyannote[1087].start 7298.97471875
transcript.pyannote[1087].end 7301.79284375
transcript.pyannote[1088].speaker SPEAKER_38
transcript.pyannote[1088].start 7301.10096875
transcript.pyannote[1088].end 7302.28221875
transcript.pyannote[1089].speaker SPEAKER_28
transcript.pyannote[1089].start 7302.28221875
transcript.pyannote[1089].end 7303.02471875
transcript.pyannote[1090].speaker SPEAKER_38
transcript.pyannote[1090].start 7303.02471875
transcript.pyannote[1090].end 7307.64846875
transcript.pyannote[1091].speaker SPEAKER_38
transcript.pyannote[1091].start 7307.90159375
transcript.pyannote[1091].end 7311.69846875
transcript.pyannote[1092].speaker SPEAKER_38
transcript.pyannote[1092].start 7312.50846875
transcript.pyannote[1092].end 7342.64721875
transcript.pyannote[1093].speaker SPEAKER_38
transcript.pyannote[1093].start 7343.06909375
transcript.pyannote[1093].end 7358.50971875
transcript.pyannote[1094].speaker SPEAKER_38
transcript.pyannote[1094].start 7359.37034375
transcript.pyannote[1094].end 7368.24659375
transcript.pyannote[1095].speaker SPEAKER_19
transcript.pyannote[1095].start 7369.14096875
transcript.pyannote[1095].end 7369.71471875
transcript.pyannote[1096].speaker SPEAKER_19
transcript.pyannote[1096].start 7369.98471875
transcript.pyannote[1096].end 7372.70159375
transcript.pyannote[1097].speaker SPEAKER_19
transcript.pyannote[1097].start 7375.36784375
transcript.pyannote[1097].end 7377.00471875
transcript.pyannote[1098].speaker SPEAKER_19
transcript.pyannote[1098].start 7378.20284375
transcript.pyannote[1098].end 7381.89846875
transcript.pyannote[1099].speaker SPEAKER_19
transcript.pyannote[1099].start 7384.15971875
transcript.pyannote[1099].end 7384.36221875
transcript.pyannote[1100].speaker SPEAKER_38
transcript.pyannote[1100].start 7387.97346875
transcript.pyannote[1100].end 7389.72846875
transcript.pyannote[1101].speaker SPEAKER_38
transcript.pyannote[1101].start 7390.74096875
transcript.pyannote[1101].end 7392.12471875
transcript.pyannote[1102].speaker SPEAKER_38
transcript.pyannote[1102].start 7393.22159375
transcript.pyannote[1102].end 7394.03159375
transcript.pyannote[1103].speaker SPEAKER_38
transcript.pyannote[1103].start 7394.97659375
transcript.pyannote[1103].end 7397.28846875
transcript.pyannote[1104].speaker SPEAKER_38
transcript.pyannote[1104].start 7397.38971875
transcript.pyannote[1104].end 7413.37034375
transcript.pyannote[1105].speaker SPEAKER_38
transcript.pyannote[1105].start 7413.89346875
transcript.pyannote[1105].end 7418.58471875
transcript.pyannote[1106].speaker SPEAKER_38
transcript.pyannote[1106].start 7419.36096875
transcript.pyannote[1106].end 7436.03346875
transcript.pyannote[1107].speaker SPEAKER_38
transcript.pyannote[1107].start 7437.18096875
transcript.pyannote[1107].end 7438.00784375
transcript.pyannote[1108].speaker SPEAKER_08
transcript.pyannote[1108].start 7439.71221875
transcript.pyannote[1108].end 7453.02659375
transcript.pyannote[1109].speaker SPEAKER_38
transcript.pyannote[1109].start 7453.02659375
transcript.pyannote[1109].end 7453.14471875
transcript.pyannote[1110].speaker SPEAKER_08
transcript.pyannote[1110].start 7453.14471875
transcript.pyannote[1110].end 7453.17846875
transcript.pyannote[1111].speaker SPEAKER_38
transcript.pyannote[1111].start 7453.17846875
transcript.pyannote[1111].end 7453.19534375
transcript.pyannote[1112].speaker SPEAKER_08
transcript.pyannote[1112].start 7453.19534375
transcript.pyannote[1112].end 7453.27971875
transcript.pyannote[1113].speaker SPEAKER_38
transcript.pyannote[1113].start 7453.27971875
transcript.pyannote[1113].end 7453.36409375
transcript.pyannote[1114].speaker SPEAKER_08
transcript.pyannote[1114].start 7453.36409375
transcript.pyannote[1114].end 7453.38096875
transcript.pyannote[1115].speaker SPEAKER_38
transcript.pyannote[1115].start 7453.38096875
transcript.pyannote[1115].end 7453.39784375
transcript.pyannote[1116].speaker SPEAKER_08
transcript.pyannote[1116].start 7454.44409375
transcript.pyannote[1116].end 7454.46096875
transcript.pyannote[1117].speaker SPEAKER_38
transcript.pyannote[1117].start 7454.46096875
transcript.pyannote[1117].end 7456.03034375
transcript.pyannote[1118].speaker SPEAKER_38
transcript.pyannote[1118].start 7456.51971875
transcript.pyannote[1118].end 7468.77096875
transcript.pyannote[1119].speaker SPEAKER_38
transcript.pyannote[1119].start 7468.83846875
transcript.pyannote[1119].end 7484.68409375
transcript.pyannote[1120].speaker SPEAKER_38
transcript.pyannote[1120].start 7485.30846875
transcript.pyannote[1120].end 7485.64596875
transcript.pyannote[1121].speaker SPEAKER_38
transcript.pyannote[1121].start 7486.23659375
transcript.pyannote[1121].end 7488.81846875
transcript.pyannote[1122].speaker SPEAKER_38
transcript.pyannote[1122].start 7488.95346875
transcript.pyannote[1122].end 7504.66409375
transcript.pyannote[1123].speaker SPEAKER_08
transcript.pyannote[1123].start 7506.19971875
transcript.pyannote[1123].end 7511.27909375
transcript.pyannote[1124].speaker SPEAKER_08
transcript.pyannote[1124].start 7511.68409375
transcript.pyannote[1124].end 7518.73784375
transcript.pyannote[1125].speaker SPEAKER_38
transcript.pyannote[1125].start 7518.34971875
transcript.pyannote[1125].end 7521.85971875
transcript.pyannote[1126].speaker SPEAKER_38
transcript.pyannote[1126].start 7522.24784375
transcript.pyannote[1126].end 7523.44596875
transcript.pyannote[1127].speaker SPEAKER_38
transcript.pyannote[1127].start 7524.15471875
transcript.pyannote[1127].end 7534.26284375
transcript.pyannote[1128].speaker SPEAKER_08
transcript.pyannote[1128].start 7532.45721875
transcript.pyannote[1128].end 7534.61721875
transcript.pyannote[1129].speaker SPEAKER_38
transcript.pyannote[1129].start 7534.61721875
transcript.pyannote[1129].end 7534.71846875
transcript.pyannote[1130].speaker SPEAKER_08
transcript.pyannote[1130].start 7534.71846875
transcript.pyannote[1130].end 7535.25846875
transcript.pyannote[1131].speaker SPEAKER_38
transcript.pyannote[1131].start 7535.25846875
transcript.pyannote[1131].end 7537.30034375
transcript.pyannote[1132].speaker SPEAKER_38
transcript.pyannote[1132].start 7537.65471875
transcript.pyannote[1132].end 7540.40534375
transcript.pyannote[1133].speaker SPEAKER_38
transcript.pyannote[1133].start 7540.69221875
transcript.pyannote[1133].end 7541.82284375
transcript.pyannote[1134].speaker SPEAKER_38
transcript.pyannote[1134].start 7542.14346875
transcript.pyannote[1134].end 7542.59909375
transcript.pyannote[1135].speaker SPEAKER_38
transcript.pyannote[1135].start 7543.20659375
transcript.pyannote[1135].end 7546.46346875
transcript.pyannote[1136].speaker SPEAKER_38
transcript.pyannote[1136].start 7546.68284375
transcript.pyannote[1136].end 7548.74159375
transcript.pyannote[1137].speaker SPEAKER_38
transcript.pyannote[1137].start 7548.79221875
transcript.pyannote[1137].end 7561.60034375
transcript.pyannote[1138].speaker SPEAKER_38
transcript.pyannote[1138].start 7561.95471875
transcript.pyannote[1138].end 7567.70909375
transcript.pyannote[1139].speaker SPEAKER_38
transcript.pyannote[1139].start 7568.19846875
transcript.pyannote[1139].end 7571.05034375
transcript.pyannote[1140].speaker SPEAKER_38
transcript.pyannote[1140].start 7571.53971875
transcript.pyannote[1140].end 7572.26534375
transcript.pyannote[1141].speaker SPEAKER_38
transcript.pyannote[1141].start 7572.92346875
transcript.pyannote[1141].end 7578.32346875
transcript.pyannote[1142].speaker SPEAKER_38
transcript.pyannote[1142].start 7579.03221875
transcript.pyannote[1142].end 7581.09096875
transcript.pyannote[1143].speaker SPEAKER_28
transcript.pyannote[1143].start 7580.39909375
transcript.pyannote[1143].end 7581.76596875
transcript.pyannote[1144].speaker SPEAKER_38
transcript.pyannote[1144].start 7581.78284375
transcript.pyannote[1144].end 7583.03159375
transcript.pyannote[1145].speaker SPEAKER_28
transcript.pyannote[1145].start 7583.99346875
transcript.pyannote[1145].end 7584.70221875
transcript.pyannote[1146].speaker SPEAKER_38
transcript.pyannote[1146].start 7584.90471875
transcript.pyannote[1146].end 7585.76534375
transcript.pyannote[1147].speaker SPEAKER_38
transcript.pyannote[1147].start 7586.94659375
transcript.pyannote[1147].end 7587.60471875
transcript.pyannote[1148].speaker SPEAKER_38
transcript.pyannote[1148].start 7588.78596875
transcript.pyannote[1148].end 7590.74346875
transcript.pyannote[1149].speaker SPEAKER_38
transcript.pyannote[1149].start 7591.18221875
transcript.pyannote[1149].end 7613.10284375
transcript.pyannote[1150].speaker SPEAKER_38
transcript.pyannote[1150].start 7614.55409375
transcript.pyannote[1150].end 7615.11096875
transcript.pyannote[1151].speaker SPEAKER_38
transcript.pyannote[1151].start 7616.08971875
transcript.pyannote[1151].end 7616.91659375
transcript.pyannote[1152].speaker SPEAKER_38
transcript.pyannote[1152].start 7616.98409375
transcript.pyannote[1152].end 7619.04284375
transcript.pyannote[1153].speaker SPEAKER_38
transcript.pyannote[1153].start 7619.12721875
transcript.pyannote[1153].end 7619.85284375
transcript.pyannote[1154].speaker SPEAKER_38
transcript.pyannote[1154].start 7620.24096875
transcript.pyannote[1154].end 7622.78909375
transcript.pyannote[1155].speaker SPEAKER_38
transcript.pyannote[1155].start 7623.22784375
transcript.pyannote[1155].end 7625.72534375
transcript.pyannote[1156].speaker SPEAKER_38
transcript.pyannote[1156].start 7626.11346875
transcript.pyannote[1156].end 7643.35971875
transcript.pyannote[1157].speaker SPEAKER_38
transcript.pyannote[1157].start 7643.61284375
transcript.pyannote[1157].end 7644.33846875
transcript.pyannote[1158].speaker SPEAKER_38
transcript.pyannote[1158].start 7644.70971875
transcript.pyannote[1158].end 7645.35096875
transcript.pyannote[1159].speaker SPEAKER_38
transcript.pyannote[1159].start 7645.62096875
transcript.pyannote[1159].end 7647.12284375
transcript.pyannote[1160].speaker SPEAKER_38
transcript.pyannote[1160].start 7647.37596875
transcript.pyannote[1160].end 7648.03409375
transcript.pyannote[1161].speaker SPEAKER_38
transcript.pyannote[1161].start 7648.54034375
transcript.pyannote[1161].end 7654.64909375
transcript.pyannote[1162].speaker SPEAKER_38
transcript.pyannote[1162].start 7655.32409375
transcript.pyannote[1162].end 7655.96534375
transcript.pyannote[1163].speaker SPEAKER_28
transcript.pyannote[1163].start 7655.96534375
transcript.pyannote[1163].end 7656.15096875
transcript.pyannote[1164].speaker SPEAKER_28
transcript.pyannote[1164].start 7657.78784375
transcript.pyannote[1164].end 7665.33096875
transcript.pyannote[1165].speaker SPEAKER_38
transcript.pyannote[1165].start 7665.33096875
transcript.pyannote[1165].end 7665.34784375
transcript.pyannote[1166].speaker SPEAKER_13
transcript.pyannote[1166].start 7665.73596875
transcript.pyannote[1166].end 7665.92159375
transcript.pyannote[1167].speaker SPEAKER_28
transcript.pyannote[1167].start 7666.09034375
transcript.pyannote[1167].end 7666.52909375
transcript.pyannote[1168].speaker SPEAKER_38
transcript.pyannote[1168].start 7666.52909375
transcript.pyannote[1168].end 7666.54596875
transcript.pyannote[1169].speaker SPEAKER_38
transcript.pyannote[1169].start 7667.00159375
transcript.pyannote[1169].end 7667.03534375
transcript.pyannote[1170].speaker SPEAKER_28
transcript.pyannote[1170].start 7667.03534375
transcript.pyannote[1170].end 7667.08596875
transcript.pyannote[1171].speaker SPEAKER_38
transcript.pyannote[1171].start 7667.08596875
transcript.pyannote[1171].end 7667.79471875
transcript.pyannote[1172].speaker SPEAKER_38
transcript.pyannote[1172].start 7670.29221875
transcript.pyannote[1172].end 7673.68409375
transcript.pyannote[1173].speaker SPEAKER_31
transcript.pyannote[1173].start 7675.77659375
transcript.pyannote[1173].end 7691.62221875
transcript.pyannote[1174].speaker SPEAKER_31
transcript.pyannote[1174].start 7693.41096875
transcript.pyannote[1174].end 7704.58221875
transcript.pyannote[1175].speaker SPEAKER_07
transcript.pyannote[1175].start 7706.94471875
transcript.pyannote[1175].end 7710.01596875
transcript.pyannote[1176].speaker SPEAKER_07
transcript.pyannote[1176].start 7710.43784375
transcript.pyannote[1176].end 7711.41659375
transcript.pyannote[1177].speaker SPEAKER_33
transcript.pyannote[1177].start 7711.77096875
transcript.pyannote[1177].end 7712.59784375
transcript.pyannote[1178].speaker SPEAKER_07
transcript.pyannote[1178].start 7713.64409375
transcript.pyannote[1178].end 7715.88846875
transcript.pyannote[1179].speaker SPEAKER_07
transcript.pyannote[1179].start 7716.10784375
transcript.pyannote[1179].end 7716.95159375
transcript.pyannote[1180].speaker SPEAKER_33
transcript.pyannote[1180].start 7717.28909375
transcript.pyannote[1180].end 7717.74471875
transcript.pyannote[1181].speaker SPEAKER_07
transcript.pyannote[1181].start 7717.74471875
transcript.pyannote[1181].end 7717.76159375
transcript.pyannote[1182].speaker SPEAKER_07
transcript.pyannote[1182].start 7718.92596875
transcript.pyannote[1182].end 7719.29721875
transcript.pyannote[1183].speaker SPEAKER_07
transcript.pyannote[1183].start 7720.15784375
transcript.pyannote[1183].end 7721.20409375
transcript.pyannote[1184].speaker SPEAKER_07
transcript.pyannote[1184].start 7722.43596875
transcript.pyannote[1184].end 7725.00096875
transcript.pyannote[1185].speaker SPEAKER_07
transcript.pyannote[1185].start 7725.60846875
transcript.pyannote[1185].end 7737.30284375
transcript.pyannote[1186].speaker SPEAKER_07
transcript.pyannote[1186].start 7737.50534375
transcript.pyannote[1186].end 7738.36596875
transcript.pyannote[1187].speaker SPEAKER_13
transcript.pyannote[1187].start 7738.46721875
transcript.pyannote[1187].end 7738.83846875
transcript.pyannote[1188].speaker SPEAKER_07
transcript.pyannote[1188].start 7738.97346875
transcript.pyannote[1188].end 7744.66034375
transcript.pyannote[1189].speaker SPEAKER_07
transcript.pyannote[1189].start 7745.33534375
transcript.pyannote[1189].end 7746.24659375
transcript.pyannote[1190].speaker SPEAKER_07
transcript.pyannote[1190].start 7746.58409375
transcript.pyannote[1190].end 7748.72721875
transcript.pyannote[1191].speaker SPEAKER_07
transcript.pyannote[1191].start 7749.52034375
transcript.pyannote[1191].end 7752.28784375
transcript.pyannote[1192].speaker SPEAKER_07
transcript.pyannote[1192].start 7752.79409375
transcript.pyannote[1192].end 7753.80659375
transcript.pyannote[1193].speaker SPEAKER_07
transcript.pyannote[1193].start 7754.29596875
transcript.pyannote[1193].end 7755.19034375
transcript.pyannote[1194].speaker SPEAKER_07
transcript.pyannote[1194].start 7756.72596875
transcript.pyannote[1194].end 7757.63721875
transcript.pyannote[1195].speaker SPEAKER_07
transcript.pyannote[1195].start 7758.37971875
transcript.pyannote[1195].end 7759.84784375
transcript.pyannote[1196].speaker SPEAKER_07
transcript.pyannote[1196].start 7760.10096875
transcript.pyannote[1196].end 7763.20596875
transcript.pyannote[1197].speaker SPEAKER_07
transcript.pyannote[1197].start 7764.28596875
transcript.pyannote[1197].end 7765.90596875
transcript.pyannote[1198].speaker SPEAKER_07
transcript.pyannote[1198].start 7766.39534375
transcript.pyannote[1198].end 7772.52096875
transcript.pyannote[1199].speaker SPEAKER_07
transcript.pyannote[1199].start 7773.01034375
transcript.pyannote[1199].end 7773.87096875
transcript.pyannote[1200].speaker SPEAKER_07
transcript.pyannote[1200].start 7774.44471875
transcript.pyannote[1200].end 7794.22221875
transcript.pyannote[1201].speaker SPEAKER_07
transcript.pyannote[1201].start 7795.11659375
transcript.pyannote[1201].end 7797.41159375
transcript.pyannote[1202].speaker SPEAKER_07
transcript.pyannote[1202].start 7799.58846875
transcript.pyannote[1202].end 7802.94659375
transcript.pyannote[1203].speaker SPEAKER_07
transcript.pyannote[1203].start 7804.04346875
transcript.pyannote[1203].end 7804.65096875
transcript.pyannote[1204].speaker SPEAKER_07
transcript.pyannote[1204].start 7805.34284375
transcript.pyannote[1204].end 7816.26096875
transcript.pyannote[1205].speaker SPEAKER_07
transcript.pyannote[1205].start 7816.78409375
transcript.pyannote[1205].end 7819.14659375
transcript.pyannote[1206].speaker SPEAKER_07
transcript.pyannote[1206].start 7819.34909375
transcript.pyannote[1206].end 7834.94159375
transcript.pyannote[1207].speaker SPEAKER_07
transcript.pyannote[1207].start 7835.59971875
transcript.pyannote[1207].end 7843.71659375
transcript.pyannote[1208].speaker SPEAKER_07
transcript.pyannote[1208].start 7844.02034375
transcript.pyannote[1208].end 7845.50534375
transcript.pyannote[1209].speaker SPEAKER_07
transcript.pyannote[1209].start 7846.45034375
transcript.pyannote[1209].end 7846.78784375
transcript.pyannote[1210].speaker SPEAKER_07
transcript.pyannote[1210].start 7847.00721875
transcript.pyannote[1210].end 7847.53034375
transcript.pyannote[1211].speaker SPEAKER_07
transcript.pyannote[1211].start 7847.96909375
transcript.pyannote[1211].end 7850.50034375
transcript.pyannote[1212].speaker SPEAKER_07
transcript.pyannote[1212].start 7851.22596875
transcript.pyannote[1212].end 7852.15409375
transcript.pyannote[1213].speaker SPEAKER_07
transcript.pyannote[1213].start 7852.22159375
transcript.pyannote[1213].end 7853.63909375
transcript.pyannote[1214].speaker SPEAKER_07
transcript.pyannote[1214].start 7854.17909375
transcript.pyannote[1214].end 7857.13221875
transcript.pyannote[1215].speaker SPEAKER_07
transcript.pyannote[1215].start 7857.48659375
transcript.pyannote[1215].end 7859.42721875
transcript.pyannote[1216].speaker SPEAKER_07
transcript.pyannote[1216].start 7859.86596875
transcript.pyannote[1216].end 7863.30846875
transcript.pyannote[1217].speaker SPEAKER_07
transcript.pyannote[1217].start 7864.10159375
transcript.pyannote[1217].end 7867.61159375
transcript.pyannote[1218].speaker SPEAKER_07
transcript.pyannote[1218].start 7868.08409375
transcript.pyannote[1218].end 7873.28159375
transcript.pyannote[1219].speaker SPEAKER_07
transcript.pyannote[1219].start 7874.96909375
transcript.pyannote[1219].end 7877.33159375
transcript.pyannote[1220].speaker SPEAKER_07
transcript.pyannote[1220].start 7877.90534375
transcript.pyannote[1220].end 7883.71034375
transcript.pyannote[1221].speaker SPEAKER_07
transcript.pyannote[1221].start 7884.57096875
transcript.pyannote[1221].end 7889.11034375
transcript.pyannote[1222].speaker SPEAKER_07
transcript.pyannote[1222].start 7889.68409375
transcript.pyannote[1222].end 7889.97096875
transcript.pyannote[1223].speaker SPEAKER_07
transcript.pyannote[1223].start 7890.49409375
transcript.pyannote[1223].end 7893.49784375
transcript.pyannote[1224].speaker SPEAKER_07
transcript.pyannote[1224].start 7893.68346875
transcript.pyannote[1224].end 7894.30784375
transcript.pyannote[1225].speaker SPEAKER_07
transcript.pyannote[1225].start 7894.99971875
transcript.pyannote[1225].end 7903.04909375
transcript.pyannote[1226].speaker SPEAKER_07
transcript.pyannote[1226].start 7903.63971875
transcript.pyannote[1226].end 7904.71971875
transcript.pyannote[1227].speaker SPEAKER_07
transcript.pyannote[1227].start 7908.04409375
transcript.pyannote[1227].end 7908.34784375
transcript.pyannote[1228].speaker SPEAKER_28
transcript.pyannote[1228].start 7908.71909375
transcript.pyannote[1228].end 7936.10721875
transcript.pyannote[1229].speaker SPEAKER_07
transcript.pyannote[1229].start 7935.78659375
transcript.pyannote[1229].end 7937.59221875
transcript.pyannote[1230].speaker SPEAKER_07
transcript.pyannote[1230].start 7938.30096875
transcript.pyannote[1230].end 7939.61721875
transcript.pyannote[1231].speaker SPEAKER_07
transcript.pyannote[1231].start 7940.64659375
transcript.pyannote[1231].end 7941.23721875
transcript.pyannote[1232].speaker SPEAKER_07
transcript.pyannote[1232].start 7941.81096875
transcript.pyannote[1232].end 7943.83596875
transcript.pyannote[1233].speaker SPEAKER_07
transcript.pyannote[1233].start 7944.02159375
transcript.pyannote[1233].end 7946.40096875
transcript.pyannote[1234].speaker SPEAKER_07
transcript.pyannote[1234].start 7946.94096875
transcript.pyannote[1234].end 7947.93659375
transcript.pyannote[1235].speaker SPEAKER_07
transcript.pyannote[1235].start 7948.20659375
transcript.pyannote[1235].end 7949.77596875
transcript.pyannote[1236].speaker SPEAKER_07
transcript.pyannote[1236].start 7950.28221875
transcript.pyannote[1236].end 7951.19346875
transcript.pyannote[1237].speaker SPEAKER_07
transcript.pyannote[1237].start 7951.54784375
transcript.pyannote[1237].end 7953.64034375
transcript.pyannote[1238].speaker SPEAKER_07
transcript.pyannote[1238].start 7953.85971875
transcript.pyannote[1238].end 7956.39096875
transcript.pyannote[1239].speaker SPEAKER_07
transcript.pyannote[1239].start 7957.03221875
transcript.pyannote[1239].end 7960.03596875
transcript.pyannote[1240].speaker SPEAKER_07
transcript.pyannote[1240].start 7961.06534375
transcript.pyannote[1240].end 7974.91971875
transcript.pyannote[1241].speaker SPEAKER_07
transcript.pyannote[1241].start 7975.69596875
transcript.pyannote[1241].end 7979.42534375
transcript.pyannote[1242].speaker SPEAKER_07
transcript.pyannote[1242].start 7980.15096875
transcript.pyannote[1242].end 7985.66909375
transcript.pyannote[1243].speaker SPEAKER_07
transcript.pyannote[1243].start 7986.37784375
transcript.pyannote[1243].end 7992.57096875
transcript.pyannote[1244].speaker SPEAKER_07
transcript.pyannote[1244].start 7992.63846875
transcript.pyannote[1244].end 7994.79846875
transcript.pyannote[1245].speaker SPEAKER_07
transcript.pyannote[1245].start 7995.06846875
transcript.pyannote[1245].end 7996.55346875
transcript.pyannote[1246].speaker SPEAKER_07
transcript.pyannote[1246].start 7996.97534375
transcript.pyannote[1246].end 8003.11784375
transcript.pyannote[1247].speaker SPEAKER_07
transcript.pyannote[1247].start 8003.64096875
transcript.pyannote[1247].end 8005.73346875
transcript.pyannote[1248].speaker SPEAKER_07
transcript.pyannote[1248].start 8006.12159375
transcript.pyannote[1248].end 8006.93159375
transcript.pyannote[1249].speaker SPEAKER_07
transcript.pyannote[1249].start 8007.37034375
transcript.pyannote[1249].end 8010.89721875
transcript.pyannote[1250].speaker SPEAKER_07
transcript.pyannote[1250].start 8011.69034375
transcript.pyannote[1250].end 8019.60471875
transcript.pyannote[1251].speaker SPEAKER_07
transcript.pyannote[1251].start 8021.66346875
transcript.pyannote[1251].end 8022.55784375
transcript.pyannote[1252].speaker SPEAKER_07
transcript.pyannote[1252].start 8022.86159375
transcript.pyannote[1252].end 8023.89096875
transcript.pyannote[1253].speaker SPEAKER_07
transcript.pyannote[1253].start 8025.19034375
transcript.pyannote[1253].end 8025.64596875
transcript.pyannote[1254].speaker SPEAKER_07
transcript.pyannote[1254].start 8026.50659375
transcript.pyannote[1254].end 8026.97909375
transcript.pyannote[1255].speaker SPEAKER_07
transcript.pyannote[1255].start 8027.16471875
transcript.pyannote[1255].end 8029.69596875
transcript.pyannote[1256].speaker SPEAKER_07
transcript.pyannote[1256].start 8029.88159375
transcript.pyannote[1256].end 8032.04159375
transcript.pyannote[1257].speaker SPEAKER_07
transcript.pyannote[1257].start 8032.26096875
transcript.pyannote[1257].end 8033.47596875
transcript.pyannote[1258].speaker SPEAKER_07
transcript.pyannote[1258].start 8034.47159375
transcript.pyannote[1258].end 8035.12971875
transcript.pyannote[1259].speaker SPEAKER_07
transcript.pyannote[1259].start 8035.63596875
transcript.pyannote[1259].end 8037.66096875
transcript.pyannote[1260].speaker SPEAKER_07
transcript.pyannote[1260].start 8038.40346875
transcript.pyannote[1260].end 8044.86659375
transcript.pyannote[1261].speaker SPEAKER_07
transcript.pyannote[1261].start 8045.20409375
transcript.pyannote[1261].end 8046.68909375
transcript.pyannote[1262].speaker SPEAKER_07
transcript.pyannote[1262].start 8047.26284375
transcript.pyannote[1262].end 8049.79409375
transcript.pyannote[1263].speaker SPEAKER_07
transcript.pyannote[1263].start 8050.68846875
transcript.pyannote[1263].end 8053.21971875
transcript.pyannote[1264].speaker SPEAKER_07
transcript.pyannote[1264].start 8054.87346875
transcript.pyannote[1264].end 8056.54409375
transcript.pyannote[1265].speaker SPEAKER_28
transcript.pyannote[1265].start 8056.69596875
transcript.pyannote[1265].end 8068.89659375
transcript.pyannote[1266].speaker SPEAKER_07
transcript.pyannote[1266].start 8065.06596875
transcript.pyannote[1266].end 8072.27159375
transcript.pyannote[1267].speaker SPEAKER_13
transcript.pyannote[1267].start 8070.22971875
transcript.pyannote[1267].end 8070.48284375
transcript.pyannote[1268].speaker SPEAKER_28
transcript.pyannote[1268].start 8070.83721875
transcript.pyannote[1268].end 8071.10721875
transcript.pyannote[1269].speaker SPEAKER_28
transcript.pyannote[1269].start 8073.35159375
transcript.pyannote[1269].end 8075.59596875
transcript.pyannote[1270].speaker SPEAKER_07
transcript.pyannote[1270].start 8074.46534375
transcript.pyannote[1270].end 8075.74784375
transcript.pyannote[1271].speaker SPEAKER_07
transcript.pyannote[1271].start 8076.38909375
transcript.pyannote[1271].end 8077.14846875
transcript.pyannote[1272].speaker SPEAKER_07
transcript.pyannote[1272].start 8077.33409375
transcript.pyannote[1272].end 8078.05971875
transcript.pyannote[1273].speaker SPEAKER_07
transcript.pyannote[1273].start 8078.73471875
transcript.pyannote[1273].end 8080.32096875
transcript.pyannote[1274].speaker SPEAKER_07
transcript.pyannote[1274].start 8081.01284375
transcript.pyannote[1274].end 8083.17284375
transcript.pyannote[1275].speaker SPEAKER_07
transcript.pyannote[1275].start 8083.66221875
transcript.pyannote[1275].end 8085.23159375
transcript.pyannote[1276].speaker SPEAKER_07
transcript.pyannote[1276].start 8085.72096875
transcript.pyannote[1276].end 8086.58159375
transcript.pyannote[1277].speaker SPEAKER_07
transcript.pyannote[1277].start 8086.96971875
transcript.pyannote[1277].end 8087.32409375
transcript.pyannote[1278].speaker SPEAKER_07
transcript.pyannote[1278].start 8088.04971875
transcript.pyannote[1278].end 8092.11659375
transcript.pyannote[1279].speaker SPEAKER_07
transcript.pyannote[1279].start 8092.72409375
transcript.pyannote[1279].end 8094.56346875
transcript.pyannote[1280].speaker SPEAKER_07
transcript.pyannote[1280].start 8095.42409375
transcript.pyannote[1280].end 8096.03159375
transcript.pyannote[1281].speaker SPEAKER_07
transcript.pyannote[1281].start 8096.48721875
transcript.pyannote[1281].end 8097.43221875
transcript.pyannote[1282].speaker SPEAKER_07
transcript.pyannote[1282].start 8098.29284375
transcript.pyannote[1282].end 8099.65971875
transcript.pyannote[1283].speaker SPEAKER_07
transcript.pyannote[1283].start 8100.03096875
transcript.pyannote[1283].end 8102.20784375
transcript.pyannote[1284].speaker SPEAKER_07
transcript.pyannote[1284].start 8103.40596875
transcript.pyannote[1284].end 8105.02596875
transcript.pyannote[1285].speaker SPEAKER_07
transcript.pyannote[1285].start 8105.65034375
transcript.pyannote[1285].end 8106.22409375
transcript.pyannote[1286].speaker SPEAKER_07
transcript.pyannote[1286].start 8107.01721875
transcript.pyannote[1286].end 8111.84346875
transcript.pyannote[1287].speaker SPEAKER_07
transcript.pyannote[1287].start 8112.48471875
transcript.pyannote[1287].end 8114.25659375
transcript.pyannote[1288].speaker SPEAKER_07
transcript.pyannote[1288].start 8115.33659375
transcript.pyannote[1288].end 8116.93971875
transcript.pyannote[1289].speaker SPEAKER_07
transcript.pyannote[1289].start 8119.72409375
transcript.pyannote[1289].end 8124.14534375
transcript.pyannote[1290].speaker SPEAKER_07
transcript.pyannote[1290].start 8124.93846875
transcript.pyannote[1290].end 8126.81159375
transcript.pyannote[1291].speaker SPEAKER_07
transcript.pyannote[1291].start 8127.43596875
transcript.pyannote[1291].end 8129.35971875
transcript.pyannote[1292].speaker SPEAKER_07
transcript.pyannote[1292].start 8129.79846875
transcript.pyannote[1292].end 8131.28346875
transcript.pyannote[1293].speaker SPEAKER_07
transcript.pyannote[1293].start 8131.80659375
transcript.pyannote[1293].end 8133.47721875
transcript.pyannote[1294].speaker SPEAKER_07
transcript.pyannote[1294].start 8135.29971875
transcript.pyannote[1294].end 8139.28221875
transcript.pyannote[1295].speaker SPEAKER_07
transcript.pyannote[1295].start 8139.87284375
transcript.pyannote[1295].end 8140.21034375
transcript.pyannote[1296].speaker SPEAKER_07
transcript.pyannote[1296].start 8140.64909375
transcript.pyannote[1296].end 8141.91471875
transcript.pyannote[1297].speaker SPEAKER_07
transcript.pyannote[1297].start 8143.55159375
transcript.pyannote[1297].end 8145.28971875
transcript.pyannote[1298].speaker SPEAKER_07
transcript.pyannote[1298].start 8145.99846875
transcript.pyannote[1298].end 8149.32284375
transcript.pyannote[1299].speaker SPEAKER_07
transcript.pyannote[1299].start 8149.91346875
transcript.pyannote[1299].end 8155.26284375
transcript.pyannote[1300].speaker SPEAKER_07
transcript.pyannote[1300].start 8155.71846875
transcript.pyannote[1300].end 8157.96284375
transcript.pyannote[1301].speaker SPEAKER_07
transcript.pyannote[1301].start 8158.57034375
transcript.pyannote[1301].end 8159.38034375
transcript.pyannote[1302].speaker SPEAKER_07
transcript.pyannote[1302].start 8160.10596875
transcript.pyannote[1302].end 8160.13971875
transcript.pyannote[1303].speaker SPEAKER_08
transcript.pyannote[1303].start 8160.13971875
transcript.pyannote[1303].end 8160.40971875
transcript.pyannote[1304].speaker SPEAKER_07
transcript.pyannote[1304].start 8160.40971875
transcript.pyannote[1304].end 8161.48971875
transcript.pyannote[1305].speaker SPEAKER_08
transcript.pyannote[1305].start 8160.42659375
transcript.pyannote[1305].end 8160.46034375
transcript.pyannote[1306].speaker SPEAKER_08
transcript.pyannote[1306].start 8161.62471875
transcript.pyannote[1306].end 8168.12159375
transcript.pyannote[1307].speaker SPEAKER_07
transcript.pyannote[1307].start 8162.31659375
transcript.pyannote[1307].end 8162.73846875
transcript.pyannote[1308].speaker SPEAKER_07
transcript.pyannote[1308].start 8166.31596875
transcript.pyannote[1308].end 8170.34909375
transcript.pyannote[1309].speaker SPEAKER_08
transcript.pyannote[1309].start 8169.52221875
transcript.pyannote[1309].end 8170.21409375
transcript.pyannote[1310].speaker SPEAKER_08
transcript.pyannote[1310].start 8170.78784375
transcript.pyannote[1310].end 8176.20471875
transcript.pyannote[1311].speaker SPEAKER_08
transcript.pyannote[1311].start 8176.64346875
transcript.pyannote[1311].end 8180.33909375
transcript.pyannote[1312].speaker SPEAKER_08
transcript.pyannote[1312].start 8180.64284375
transcript.pyannote[1312].end 8183.93346875
transcript.pyannote[1313].speaker SPEAKER_08
transcript.pyannote[1313].start 8184.08534375
transcript.pyannote[1313].end 8187.17346875
transcript.pyannote[1314].speaker SPEAKER_07
transcript.pyannote[1314].start 8185.33409375
transcript.pyannote[1314].end 8185.65471875
transcript.pyannote[1315].speaker SPEAKER_07
transcript.pyannote[1315].start 8186.71784375
transcript.pyannote[1315].end 8187.30846875
transcript.pyannote[1316].speaker SPEAKER_07
transcript.pyannote[1316].start 8187.44346875
transcript.pyannote[1316].end 8191.71284375
transcript.pyannote[1317].speaker SPEAKER_07
transcript.pyannote[1317].start 8191.98284375
transcript.pyannote[1317].end 8193.45096875
transcript.pyannote[1318].speaker SPEAKER_07
transcript.pyannote[1318].start 8193.87284375
transcript.pyannote[1318].end 8194.69971875
transcript.pyannote[1319].speaker SPEAKER_07
transcript.pyannote[1319].start 8195.13846875
transcript.pyannote[1319].end 8204.82471875
transcript.pyannote[1320].speaker SPEAKER_07
transcript.pyannote[1320].start 8205.58409375
transcript.pyannote[1320].end 8207.47409375
transcript.pyannote[1321].speaker SPEAKER_07
transcript.pyannote[1321].start 8208.58784375
transcript.pyannote[1321].end 8209.02659375
transcript.pyannote[1322].speaker SPEAKER_07
transcript.pyannote[1322].start 8209.38096875
transcript.pyannote[1322].end 8211.91221875
transcript.pyannote[1323].speaker SPEAKER_07
transcript.pyannote[1323].start 8212.45221875
transcript.pyannote[1323].end 8213.59971875
transcript.pyannote[1324].speaker SPEAKER_07
transcript.pyannote[1324].start 8214.47721875
transcript.pyannote[1324].end 8216.21534375
transcript.pyannote[1325].speaker SPEAKER_07
transcript.pyannote[1325].start 8216.85659375
transcript.pyannote[1325].end 8218.86471875
transcript.pyannote[1326].speaker SPEAKER_07
transcript.pyannote[1326].start 8219.13471875
transcript.pyannote[1326].end 8220.18096875
transcript.pyannote[1327].speaker SPEAKER_07
transcript.pyannote[1327].start 8220.55221875
transcript.pyannote[1327].end 8221.19346875
transcript.pyannote[1328].speaker SPEAKER_07
transcript.pyannote[1328].start 8222.25659375
transcript.pyannote[1328].end 8233.69784375
transcript.pyannote[1329].speaker SPEAKER_07
transcript.pyannote[1329].start 8234.84534375
transcript.pyannote[1329].end 8240.81909375
transcript.pyannote[1330].speaker SPEAKER_07
transcript.pyannote[1330].start 8241.32534375
transcript.pyannote[1330].end 8244.48096875
transcript.pyannote[1331].speaker SPEAKER_28
transcript.pyannote[1331].start 8245.13909375
transcript.pyannote[1331].end 8260.96784375
transcript.pyannote[1332].speaker SPEAKER_07
transcript.pyannote[1332].start 8245.81409375
transcript.pyannote[1332].end 8246.05034375
transcript.pyannote[1333].speaker SPEAKER_07
transcript.pyannote[1333].start 8250.43784375
transcript.pyannote[1333].end 8250.79221875
transcript.pyannote[1334].speaker SPEAKER_07
transcript.pyannote[1334].start 8257.71096875
transcript.pyannote[1334].end 8258.04846875
transcript.pyannote[1335].speaker SPEAKER_07
transcript.pyannote[1335].start 8259.02721875
transcript.pyannote[1335].end 8279.46284375
transcript.pyannote[1336].speaker SPEAKER_28
transcript.pyannote[1336].start 8261.15346875
transcript.pyannote[1336].end 8261.55846875
transcript.pyannote[1337].speaker SPEAKER_32
transcript.pyannote[1337].start 8273.21909375
transcript.pyannote[1337].end 8273.47221875
transcript.pyannote[1338].speaker SPEAKER_13
transcript.pyannote[1338].start 8274.07971875
transcript.pyannote[1338].end 8274.94034375
transcript.pyannote[1339].speaker SPEAKER_31
transcript.pyannote[1339].start 8280.37409375
transcript.pyannote[1339].end 8281.26846875
transcript.pyannote[1340].speaker SPEAKER_31
transcript.pyannote[1340].start 8282.65221875
transcript.pyannote[1340].end 8288.79471875
transcript.pyannote[1341].speaker SPEAKER_28
transcript.pyannote[1341].start 8301.02909375
transcript.pyannote[1341].end 8303.47596875
transcript.pyannote[1342].speaker SPEAKER_13
transcript.pyannote[1342].start 8317.66784375
transcript.pyannote[1342].end 8317.92096875
transcript.pyannote[1343].speaker SPEAKER_13
transcript.pyannote[1343].start 8317.97159375
transcript.pyannote[1343].end 8318.03909375
transcript.pyannote[1344].speaker SPEAKER_13
transcript.pyannote[1344].start 8318.32596875
transcript.pyannote[1344].end 8320.03034375
transcript.pyannote[1345].speaker SPEAKER_35
transcript.pyannote[1345].start 8377.42221875
transcript.pyannote[1345].end 8395.02284375
transcript.pyannote[1346].speaker SPEAKER_13
transcript.pyannote[1346].start 8377.54034375
transcript.pyannote[1346].end 8378.13096875
transcript.pyannote[1347].speaker SPEAKER_13
transcript.pyannote[1347].start 8378.38409375
transcript.pyannote[1347].end 8379.24471875
transcript.pyannote[1348].speaker SPEAKER_06
transcript.pyannote[1348].start 8383.12596875
transcript.pyannote[1348].end 8383.46346875
transcript.pyannote[1349].speaker SPEAKER_35
transcript.pyannote[1349].start 8396.17034375
transcript.pyannote[1349].end 8433.73409375
transcript.pyannote[1350].speaker SPEAKER_13
transcript.pyannote[1350].start 8396.32221875
transcript.pyannote[1350].end 8396.42346875
transcript.pyannote[1351].speaker SPEAKER_13
transcript.pyannote[1351].start 8396.45721875
transcript.pyannote[1351].end 8396.47409375
transcript.pyannote[1352].speaker SPEAKER_13
transcript.pyannote[1352].start 8396.54159375
transcript.pyannote[1352].end 8396.60909375
transcript.pyannote[1353].speaker SPEAKER_13
transcript.pyannote[1353].start 8400.22034375
transcript.pyannote[1353].end 8400.35534375
transcript.pyannote[1354].speaker SPEAKER_06
transcript.pyannote[1354].start 8408.84346875
transcript.pyannote[1354].end 8409.11346875
transcript.pyannote[1355].speaker SPEAKER_28
transcript.pyannote[1355].start 8413.04534375
transcript.pyannote[1355].end 8414.32784375
transcript.pyannote[1356].speaker SPEAKER_00
transcript.pyannote[1356].start 8414.32784375
transcript.pyannote[1356].end 8414.47971875
transcript.pyannote[1357].speaker SPEAKER_13
transcript.pyannote[1357].start 8432.43471875
transcript.pyannote[1357].end 8432.46846875
transcript.pyannote[1358].speaker SPEAKER_35
transcript.pyannote[1358].start 8434.18971875
transcript.pyannote[1358].end 8437.32846875
transcript.pyannote[1359].speaker SPEAKER_13
transcript.pyannote[1359].start 8439.92721875
transcript.pyannote[1359].end 8441.41221875
transcript.pyannote[1360].speaker SPEAKER_24
transcript.pyannote[1360].start 8441.41221875
transcript.pyannote[1360].end 8441.91846875
transcript.pyannote[1361].speaker SPEAKER_13
transcript.pyannote[1361].start 8441.46284375
transcript.pyannote[1361].end 8442.81284375
transcript.pyannote[1362].speaker SPEAKER_28
transcript.pyannote[1362].start 8442.96471875
transcript.pyannote[1362].end 8442.98159375
transcript.pyannote[1363].speaker SPEAKER_28
transcript.pyannote[1363].start 8443.09971875
transcript.pyannote[1363].end 8443.18409375
transcript.pyannote[1364].speaker SPEAKER_13
transcript.pyannote[1364].start 8443.18409375
transcript.pyannote[1364].end 8444.12909375
transcript.pyannote[1365].speaker SPEAKER_28
transcript.pyannote[1365].start 8444.12909375
transcript.pyannote[1365].end 8445.00659375
transcript.pyannote[1366].speaker SPEAKER_24
transcript.pyannote[1366].start 8445.20909375
transcript.pyannote[1366].end 8446.94721875
transcript.pyannote[1367].speaker SPEAKER_24
transcript.pyannote[1367].start 8446.96409375
transcript.pyannote[1367].end 8447.03159375
transcript.pyannote[1368].speaker SPEAKER_24
transcript.pyannote[1368].start 8447.18346875
transcript.pyannote[1368].end 8448.87096875
transcript.pyannote[1369].speaker SPEAKER_28
transcript.pyannote[1369].start 8447.23409375
transcript.pyannote[1369].end 8449.39409375
transcript.pyannote[1370].speaker SPEAKER_24
transcript.pyannote[1370].start 8449.86659375
transcript.pyannote[1370].end 8450.96346875
transcript.pyannote[1371].speaker SPEAKER_13
transcript.pyannote[1371].start 8450.96346875
transcript.pyannote[1371].end 8455.46909375
transcript.pyannote[1372].speaker SPEAKER_24
transcript.pyannote[1372].start 8452.87034375
transcript.pyannote[1372].end 8452.90409375
transcript.pyannote[1373].speaker SPEAKER_24
transcript.pyannote[1373].start 8453.27534375
transcript.pyannote[1373].end 8453.29221875
transcript.pyannote[1374].speaker SPEAKER_28
transcript.pyannote[1374].start 8455.46909375
transcript.pyannote[1374].end 8456.02596875
transcript.pyannote[1375].speaker SPEAKER_08
transcript.pyannote[1375].start 8456.02596875
transcript.pyannote[1375].end 8457.03846875
transcript.pyannote[1376].speaker SPEAKER_13
transcript.pyannote[1376].start 8457.03846875
transcript.pyannote[1376].end 8459.33346875
transcript.pyannote[1377].speaker SPEAKER_28
transcript.pyannote[1377].start 8457.52784375
transcript.pyannote[1377].end 8457.96659375
transcript.pyannote[1378].speaker SPEAKER_08
transcript.pyannote[1378].start 8457.96659375
transcript.pyannote[1378].end 8458.33784375
transcript.pyannote[1379].speaker SPEAKER_35
transcript.pyannote[1379].start 8459.09721875
transcript.pyannote[1379].end 8470.04909375
transcript.pyannote[1380].speaker SPEAKER_13
transcript.pyannote[1380].start 8460.31221875
transcript.pyannote[1380].end 8460.36284375
transcript.pyannote[1381].speaker SPEAKER_13
transcript.pyannote[1381].start 8460.46409375
transcript.pyannote[1381].end 8461.76346875
transcript.pyannote[1382].speaker SPEAKER_13
transcript.pyannote[1382].start 8463.88971875
transcript.pyannote[1382].end 8464.24409375
transcript.pyannote[1383].speaker SPEAKER_13
transcript.pyannote[1383].start 8464.41284375
transcript.pyannote[1383].end 8465.72909375
transcript.pyannote[1384].speaker SPEAKER_28
transcript.pyannote[1384].start 8465.72909375
transcript.pyannote[1384].end 8466.70784375
transcript.pyannote[1385].speaker SPEAKER_28
transcript.pyannote[1385].start 8467.72034375
transcript.pyannote[1385].end 8468.14221875
transcript.pyannote[1386].speaker SPEAKER_28
transcript.pyannote[1386].start 8468.83409375
transcript.pyannote[1386].end 8469.20534375
transcript.pyannote[1387].speaker SPEAKER_35
transcript.pyannote[1387].start 8470.06596875
transcript.pyannote[1387].end 8471.02784375
transcript.pyannote[1388].speaker SPEAKER_13
transcript.pyannote[1388].start 8492.32409375
transcript.pyannote[1388].end 8492.49284375
transcript.pyannote[1389].speaker SPEAKER_28
transcript.pyannote[1389].start 8495.96909375
transcript.pyannote[1389].end 8500.91346875
transcript.pyannote[1390].speaker SPEAKER_28
transcript.pyannote[1390].start 8511.34221875
transcript.pyannote[1390].end 8512.69221875
transcript.pyannote[1391].speaker SPEAKER_28
transcript.pyannote[1391].start 8512.96221875
transcript.pyannote[1391].end 8513.02971875
transcript.pyannote[1392].speaker SPEAKER_28
transcript.pyannote[1392].start 8514.31221875
transcript.pyannote[1392].end 8514.43034375
transcript.pyannote[1393].speaker SPEAKER_25
transcript.pyannote[1393].start 8514.43034375
transcript.pyannote[1393].end 8516.86034375
transcript.pyannote[1394].speaker SPEAKER_28
transcript.pyannote[1394].start 8514.61596875
transcript.pyannote[1394].end 8515.22346875
transcript.pyannote[1395].speaker SPEAKER_25
transcript.pyannote[1395].start 8516.92784375
transcript.pyannote[1395].end 8516.94471875
transcript.pyannote[1396].speaker SPEAKER_25
transcript.pyannote[1396].start 8516.96159375
transcript.pyannote[1396].end 8517.02909375
transcript.pyannote[1397].speaker SPEAKER_25
transcript.pyannote[1397].start 8517.40034375
transcript.pyannote[1397].end 8518.14284375
transcript.pyannote[1398].speaker SPEAKER_35
transcript.pyannote[1398].start 8545.15971875
transcript.pyannote[1398].end 8551.33596875
transcript.pyannote[1399].speaker SPEAKER_35
transcript.pyannote[1399].start 8554.42409375
transcript.pyannote[1399].end 8554.71096875
transcript.pyannote[1400].speaker SPEAKER_35
transcript.pyannote[1400].start 8559.97596875
transcript.pyannote[1400].end 8573.03721875
transcript.pyannote[1401].speaker SPEAKER_13
transcript.pyannote[1401].start 8585.77784375
transcript.pyannote[1401].end 8585.89596875
transcript.pyannote[1402].speaker SPEAKER_13
transcript.pyannote[1402].start 8585.96346875
transcript.pyannote[1402].end 8586.55409375
transcript.pyannote[1403].speaker SPEAKER_13
transcript.pyannote[1403].start 8586.97596875
transcript.pyannote[1403].end 8586.99284375
transcript.pyannote[1404].speaker SPEAKER_28
transcript.pyannote[1404].start 8588.49471875
transcript.pyannote[1404].end 8592.03846875
transcript.pyannote[1405].speaker SPEAKER_28
transcript.pyannote[1405].start 8592.05534375
transcript.pyannote[1405].end 8592.12284375
transcript.pyannote[1406].speaker SPEAKER_28
transcript.pyannote[1406].start 8593.81034375
transcript.pyannote[1406].end 8594.02971875
transcript.pyannote[1407].speaker SPEAKER_28
transcript.pyannote[1407].start 8594.26596875
transcript.pyannote[1407].end 8594.75534375
transcript.pyannote[1408].speaker SPEAKER_28
transcript.pyannote[1408].start 8597.77596875
transcript.pyannote[1408].end 8598.02909375
transcript.pyannote[1409].speaker SPEAKER_28
transcript.pyannote[1409].start 8598.78846875
transcript.pyannote[1409].end 8598.92346875
transcript.pyannote[1410].speaker SPEAKER_28
transcript.pyannote[1410].start 8598.97409375
transcript.pyannote[1410].end 8603.02409375
transcript.pyannote[1411].speaker SPEAKER_13
transcript.pyannote[1411].start 8618.97096875
transcript.pyannote[1411].end 8621.29971875
transcript.pyannote[1412].speaker SPEAKER_13
transcript.pyannote[1412].start 8622.59909375
transcript.pyannote[1412].end 8627.03721875
transcript.pyannote[1413].speaker SPEAKER_13
transcript.pyannote[1413].start 8627.69534375
transcript.pyannote[1413].end 8628.01596875
transcript.pyannote[1414].speaker SPEAKER_13
transcript.pyannote[1414].start 8628.50534375
transcript.pyannote[1414].end 8628.91034375
transcript.pyannote[1415].speaker SPEAKER_31
transcript.pyannote[1415].start 8635.79534375
transcript.pyannote[1415].end 8641.68471875
transcript.pyannote[1416].speaker SPEAKER_31
transcript.pyannote[1416].start 8649.63284375
transcript.pyannote[1416].end 8652.65346875
transcript.pyannote[1417].speaker SPEAKER_35
transcript.pyannote[1417].start 8652.65346875
transcript.pyannote[1417].end 8652.77159375
transcript.pyannote[1418].speaker SPEAKER_35
transcript.pyannote[1418].start 8652.97409375
transcript.pyannote[1418].end 8653.04159375
transcript.pyannote[1419].speaker SPEAKER_35
transcript.pyannote[1419].start 8655.97784375
transcript.pyannote[1419].end 8656.02846875
transcript.pyannote[1420].speaker SPEAKER_35
transcript.pyannote[1420].start 8656.97346875
transcript.pyannote[1420].end 8657.02409375
transcript.pyannote[1421].speaker SPEAKER_35
transcript.pyannote[1421].start 8657.96909375
transcript.pyannote[1421].end 8658.03659375
transcript.pyannote[1422].speaker SPEAKER_04
transcript.pyannote[1422].start 8663.99346875
transcript.pyannote[1422].end 8667.70596875
transcript.pyannote[1423].speaker SPEAKER_04
transcript.pyannote[1423].start 8668.34721875
transcript.pyannote[1423].end 8669.29221875
transcript.pyannote[1424].speaker SPEAKER_04
transcript.pyannote[1424].start 8669.30909375
transcript.pyannote[1424].end 8669.35971875
transcript.pyannote[1425].speaker SPEAKER_32
transcript.pyannote[1425].start 8669.35971875
transcript.pyannote[1425].end 8669.54534375
transcript.pyannote[1426].speaker SPEAKER_32
transcript.pyannote[1426].start 8670.77721875
transcript.pyannote[1426].end 8671.77284375
transcript.pyannote[1427].speaker SPEAKER_04
transcript.pyannote[1427].start 8673.74721875
transcript.pyannote[1427].end 8721.84096875
transcript.pyannote[1428].speaker SPEAKER_32
transcript.pyannote[1428].start 8674.55721875
transcript.pyannote[1428].end 8674.84409375
transcript.pyannote[1429].speaker SPEAKER_28
transcript.pyannote[1429].start 8724.38909375
transcript.pyannote[1429].end 8735.45909375
transcript.pyannote[1430].speaker SPEAKER_28
transcript.pyannote[1430].start 8735.79659375
transcript.pyannote[1430].end 8738.00721875
transcript.pyannote[1431].speaker SPEAKER_28
transcript.pyannote[1431].start 8738.19284375
transcript.pyannote[1431].end 8740.87596875
transcript.pyannote[1432].speaker SPEAKER_28
transcript.pyannote[1432].start 8740.97721875
transcript.pyannote[1432].end 8745.48284375
transcript.pyannote[1433].speaker SPEAKER_04
transcript.pyannote[1433].start 8743.99784375
transcript.pyannote[1433].end 8746.34346875
transcript.pyannote[1434].speaker SPEAKER_28
transcript.pyannote[1434].start 8746.71471875
transcript.pyannote[1434].end 8749.21221875
transcript.pyannote[1435].speaker SPEAKER_28
transcript.pyannote[1435].start 8750.69721875
transcript.pyannote[1435].end 8755.77659375
transcript.pyannote[1436].speaker SPEAKER_04
transcript.pyannote[1436].start 8756.55284375
transcript.pyannote[1436].end 8813.79284375
transcript.pyannote[1437].speaker SPEAKER_28
transcript.pyannote[1437].start 8815.64909375
transcript.pyannote[1437].end 8832.00096875
transcript.pyannote[1438].speaker SPEAKER_04
transcript.pyannote[1438].start 8826.17909375
transcript.pyannote[1438].end 8827.49534375
transcript.pyannote[1439].speaker SPEAKER_28
transcript.pyannote[1439].start 8832.50721875
transcript.pyannote[1439].end 8837.87346875
transcript.pyannote[1440].speaker SPEAKER_04
transcript.pyannote[1440].start 8838.70034375
transcript.pyannote[1440].end 8888.97096875
transcript.pyannote[1441].speaker SPEAKER_28
transcript.pyannote[1441].start 8889.89909375
transcript.pyannote[1441].end 8913.82784375
transcript.pyannote[1442].speaker SPEAKER_04
transcript.pyannote[1442].start 8903.71971875
transcript.pyannote[1442].end 8904.83346875
transcript.pyannote[1443].speaker SPEAKER_04
transcript.pyannote[1443].start 8914.92471875
transcript.pyannote[1443].end 8928.47534375
transcript.pyannote[1444].speaker SPEAKER_04
transcript.pyannote[1444].start 8929.04909375
transcript.pyannote[1444].end 8929.90971875
transcript.pyannote[1445].speaker SPEAKER_04
transcript.pyannote[1445].start 8930.63534375
transcript.pyannote[1445].end 8932.01909375
transcript.pyannote[1446].speaker SPEAKER_04
transcript.pyannote[1446].start 8932.30596875
transcript.pyannote[1446].end 8934.34784375
transcript.pyannote[1447].speaker SPEAKER_04
transcript.pyannote[1447].start 8935.46159375
transcript.pyannote[1447].end 8936.10284375
transcript.pyannote[1448].speaker SPEAKER_04
transcript.pyannote[1448].start 8936.94659375
transcript.pyannote[1448].end 8937.90846875
transcript.pyannote[1449].speaker SPEAKER_04
transcript.pyannote[1449].start 8938.60034375
transcript.pyannote[1449].end 8939.68034375
transcript.pyannote[1450].speaker SPEAKER_04
transcript.pyannote[1450].start 8939.93346875
transcript.pyannote[1450].end 8942.11034375
transcript.pyannote[1451].speaker SPEAKER_04
transcript.pyannote[1451].start 8942.71784375
transcript.pyannote[1451].end 8981.26034375
transcript.pyannote[1452].speaker SPEAKER_08
transcript.pyannote[1452].start 8982.88034375
transcript.pyannote[1452].end 8985.81659375
transcript.pyannote[1453].speaker SPEAKER_08
transcript.pyannote[1453].start 8986.08659375
transcript.pyannote[1453].end 9000.12659375
transcript.pyannote[1454].speaker SPEAKER_08
transcript.pyannote[1454].start 9000.36284375
transcript.pyannote[1454].end 9002.37096875
transcript.pyannote[1455].speaker SPEAKER_08
transcript.pyannote[1455].start 9002.57346875
transcript.pyannote[1455].end 9009.84659375
transcript.pyannote[1456].speaker SPEAKER_08
transcript.pyannote[1456].start 9010.01534375
transcript.pyannote[1456].end 9012.07409375
transcript.pyannote[1457].speaker SPEAKER_08
transcript.pyannote[1457].start 9012.47909375
transcript.pyannote[1457].end 9014.87534375
transcript.pyannote[1458].speaker SPEAKER_08
transcript.pyannote[1458].start 9015.21284375
transcript.pyannote[1458].end 9021.00096875
transcript.pyannote[1459].speaker SPEAKER_04
transcript.pyannote[1459].start 9021.03471875
transcript.pyannote[1459].end 9033.08346875
transcript.pyannote[1460].speaker SPEAKER_08
transcript.pyannote[1460].start 9021.06846875
transcript.pyannote[1460].end 9021.20346875
transcript.pyannote[1461].speaker SPEAKER_08
transcript.pyannote[1461].start 9021.25409375
transcript.pyannote[1461].end 9023.02596875
transcript.pyannote[1462].speaker SPEAKER_08
transcript.pyannote[1462].start 9026.08034375
transcript.pyannote[1462].end 9026.43471875
transcript.pyannote[1463].speaker SPEAKER_13
transcript.pyannote[1463].start 9033.11721875
transcript.pyannote[1463].end 9033.13409375
transcript.pyannote[1464].speaker SPEAKER_13
transcript.pyannote[1464].start 9033.16784375
transcript.pyannote[1464].end 9033.30284375
transcript.pyannote[1465].speaker SPEAKER_04
transcript.pyannote[1465].start 9034.36596875
transcript.pyannote[1465].end 9037.45409375
transcript.pyannote[1466].speaker SPEAKER_04
transcript.pyannote[1466].start 9038.28096875
transcript.pyannote[1466].end 9069.04409375
transcript.pyannote[1467].speaker SPEAKER_08
transcript.pyannote[1467].start 9068.33534375
transcript.pyannote[1467].end 9076.26659375
transcript.pyannote[1468].speaker SPEAKER_08
transcript.pyannote[1468].start 9076.60409375
transcript.pyannote[1468].end 9080.29971875
transcript.pyannote[1469].speaker SPEAKER_08
transcript.pyannote[1469].start 9080.46846875
transcript.pyannote[1469].end 9085.95284375
transcript.pyannote[1470].speaker SPEAKER_08
transcript.pyannote[1470].start 9086.08784375
transcript.pyannote[1470].end 9086.98221875
transcript.pyannote[1471].speaker SPEAKER_08
transcript.pyannote[1471].start 9087.31971875
transcript.pyannote[1471].end 9089.98596875
transcript.pyannote[1472].speaker SPEAKER_04
transcript.pyannote[1472].start 9090.08721875
transcript.pyannote[1472].end 9093.36096875
transcript.pyannote[1473].speaker SPEAKER_08
transcript.pyannote[1473].start 9093.41159375
transcript.pyannote[1473].end 9099.73971875
transcript.pyannote[1474].speaker SPEAKER_08
transcript.pyannote[1474].start 9099.97596875
transcript.pyannote[1474].end 9103.18221875
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 9103.45221875
transcript.pyannote[1475].end 9108.24471875
transcript.pyannote[1476].speaker SPEAKER_04
transcript.pyannote[1476].start 9108.86909375
transcript.pyannote[1476].end 9146.68596875
transcript.pyannote[1477].speaker SPEAKER_04
transcript.pyannote[1477].start 9147.10784375
transcript.pyannote[1477].end 9181.98846875
transcript.pyannote[1478].speaker SPEAKER_04
transcript.pyannote[1478].start 9182.37659375
transcript.pyannote[1478].end 9183.79409375
transcript.pyannote[1479].speaker SPEAKER_04
transcript.pyannote[1479].start 9183.86159375
transcript.pyannote[1479].end 9185.68409375
transcript.pyannote[1480].speaker SPEAKER_08
transcript.pyannote[1480].start 9183.99659375
transcript.pyannote[1480].end 9184.31721875
transcript.pyannote[1481].speaker SPEAKER_08
transcript.pyannote[1481].start 9185.36346875
transcript.pyannote[1481].end 9192.41721875
transcript.pyannote[1482].speaker SPEAKER_08
transcript.pyannote[1482].start 9192.72096875
transcript.pyannote[1482].end 9195.38721875
transcript.pyannote[1483].speaker SPEAKER_04
transcript.pyannote[1483].start 9195.48846875
transcript.pyannote[1483].end 9201.91784375
transcript.pyannote[1484].speaker SPEAKER_08
transcript.pyannote[1484].start 9196.93971875
transcript.pyannote[1484].end 9197.96909375
transcript.pyannote[1485].speaker SPEAKER_08
transcript.pyannote[1485].start 9199.52159375
transcript.pyannote[1485].end 9204.06096875
transcript.pyannote[1486].speaker SPEAKER_08
transcript.pyannote[1486].start 9204.41534375
transcript.pyannote[1486].end 9215.13096875
transcript.pyannote[1487].speaker SPEAKER_04
transcript.pyannote[1487].start 9214.32096875
transcript.pyannote[1487].end 9227.34846875
transcript.pyannote[1488].speaker SPEAKER_08
transcript.pyannote[1488].start 9218.69159375
transcript.pyannote[1488].end 9218.75909375
transcript.pyannote[1489].speaker SPEAKER_08
transcript.pyannote[1489].start 9226.94346875
transcript.pyannote[1489].end 9230.47034375
transcript.pyannote[1490].speaker SPEAKER_04
transcript.pyannote[1490].start 9230.47034375
transcript.pyannote[1490].end 9234.75659375
transcript.pyannote[1491].speaker SPEAKER_08
transcript.pyannote[1491].start 9233.15346875
transcript.pyannote[1491].end 9234.68909375
transcript.pyannote[1492].speaker SPEAKER_08
transcript.pyannote[1492].start 9234.75659375
transcript.pyannote[1492].end 9234.77346875
transcript.pyannote[1493].speaker SPEAKER_08
transcript.pyannote[1493].start 9235.00971875
transcript.pyannote[1493].end 9235.02659375
transcript.pyannote[1494].speaker SPEAKER_13
transcript.pyannote[1494].start 9235.02659375
transcript.pyannote[1494].end 9235.22909375
transcript.pyannote[1495].speaker SPEAKER_31
transcript.pyannote[1495].start 9236.22471875
transcript.pyannote[1495].end 9237.10221875
transcript.pyannote[1496].speaker SPEAKER_31
transcript.pyannote[1496].start 9238.04721875
transcript.pyannote[1496].end 9238.63784375
transcript.pyannote[1497].speaker SPEAKER_31
transcript.pyannote[1497].start 9239.43096875
transcript.pyannote[1497].end 9241.92846875
transcript.pyannote[1498].speaker SPEAKER_20
transcript.pyannote[1498].start 9250.70346875
transcript.pyannote[1498].end 9253.45409375
transcript.pyannote[1499].speaker SPEAKER_20
transcript.pyannote[1499].start 9253.74096875
transcript.pyannote[1499].end 9254.87159375
transcript.pyannote[1500].speaker SPEAKER_32
transcript.pyannote[1500].start 9254.29784375
transcript.pyannote[1500].end 9255.58034375
transcript.pyannote[1501].speaker SPEAKER_20
transcript.pyannote[1501].start 9266.16096875
transcript.pyannote[1501].end 9274.76721875
transcript.pyannote[1502].speaker SPEAKER_20
transcript.pyannote[1502].start 9275.22284375
transcript.pyannote[1502].end 9278.39534375
transcript.pyannote[1503].speaker SPEAKER_20
transcript.pyannote[1503].start 9278.81721875
transcript.pyannote[1503].end 9295.27034375
transcript.pyannote[1504].speaker SPEAKER_20
transcript.pyannote[1504].start 9295.28721875
transcript.pyannote[1504].end 9309.90096875
transcript.pyannote[1505].speaker SPEAKER_19
transcript.pyannote[1505].start 9312.04409375
transcript.pyannote[1505].end 9313.34346875
transcript.pyannote[1506].speaker SPEAKER_19
transcript.pyannote[1506].start 9313.56284375
transcript.pyannote[1506].end 9314.15346875
transcript.pyannote[1507].speaker SPEAKER_20
transcript.pyannote[1507].start 9313.61346875
transcript.pyannote[1507].end 9314.55846875
transcript.pyannote[1508].speaker SPEAKER_19
transcript.pyannote[1508].start 9314.27159375
transcript.pyannote[1508].end 9314.38971875
transcript.pyannote[1509].speaker SPEAKER_20
transcript.pyannote[1509].start 9314.91284375
transcript.pyannote[1509].end 9319.85721875
transcript.pyannote[1510].speaker SPEAKER_20
transcript.pyannote[1510].start 9320.04284375
transcript.pyannote[1510].end 9321.30846875
transcript.pyannote[1511].speaker SPEAKER_20
transcript.pyannote[1511].start 9321.69659375
transcript.pyannote[1511].end 9324.12659375
transcript.pyannote[1512].speaker SPEAKER_20
transcript.pyannote[1512].start 9324.39659375
transcript.pyannote[1512].end 9327.55221875
transcript.pyannote[1513].speaker SPEAKER_20
transcript.pyannote[1513].start 9327.68721875
transcript.pyannote[1513].end 9332.29409375
transcript.pyannote[1514].speaker SPEAKER_20
transcript.pyannote[1514].start 9332.59784375
transcript.pyannote[1514].end 9335.70284375
transcript.pyannote[1515].speaker SPEAKER_20
transcript.pyannote[1515].start 9335.87159375
transcript.pyannote[1515].end 9338.92596875
transcript.pyannote[1516].speaker SPEAKER_20
transcript.pyannote[1516].start 9339.39846875
transcript.pyannote[1516].end 9343.02659375
transcript.pyannote[1517].speaker SPEAKER_20
transcript.pyannote[1517].start 9343.19534375
transcript.pyannote[1517].end 9344.42721875
transcript.pyannote[1518].speaker SPEAKER_20
transcript.pyannote[1518].start 9344.49471875
transcript.pyannote[1518].end 9368.28846875
transcript.pyannote[1519].speaker SPEAKER_20
transcript.pyannote[1519].start 9368.71034375
transcript.pyannote[1519].end 9401.02596875
transcript.pyannote[1520].speaker SPEAKER_20
transcript.pyannote[1520].start 9401.53221875
transcript.pyannote[1520].end 9409.29471875
transcript.pyannote[1521].speaker SPEAKER_20
transcript.pyannote[1521].start 9409.75034375
transcript.pyannote[1521].end 9417.85034375
transcript.pyannote[1522].speaker SPEAKER_20
transcript.pyannote[1522].start 9418.35659375
transcript.pyannote[1522].end 9422.77784375
transcript.pyannote[1523].speaker SPEAKER_19
transcript.pyannote[1523].start 9424.02659375
transcript.pyannote[1523].end 9431.02971875
transcript.pyannote[1524].speaker SPEAKER_19
transcript.pyannote[1524].start 9431.18159375
transcript.pyannote[1524].end 9438.97784375
transcript.pyannote[1525].speaker SPEAKER_19
transcript.pyannote[1525].start 9439.09596875
transcript.pyannote[1525].end 9452.27534375
transcript.pyannote[1526].speaker SPEAKER_19
transcript.pyannote[1526].start 9452.61284375
transcript.pyannote[1526].end 9462.63659375
transcript.pyannote[1527].speaker SPEAKER_19
transcript.pyannote[1527].start 9462.92346875
transcript.pyannote[1527].end 9466.80471875
transcript.pyannote[1528].speaker SPEAKER_19
transcript.pyannote[1528].start 9467.05784375
transcript.pyannote[1528].end 9479.10659375
transcript.pyannote[1529].speaker SPEAKER_19
transcript.pyannote[1529].start 9479.44409375
transcript.pyannote[1529].end 9482.92034375
transcript.pyannote[1530].speaker SPEAKER_20
transcript.pyannote[1530].start 9482.21159375
transcript.pyannote[1530].end 9482.98784375
transcript.pyannote[1531].speaker SPEAKER_20
transcript.pyannote[1531].start 9483.17346875
transcript.pyannote[1531].end 9512.63721875
transcript.pyannote[1532].speaker SPEAKER_20
transcript.pyannote[1532].start 9513.05909375
transcript.pyannote[1532].end 9521.71596875
transcript.pyannote[1533].speaker SPEAKER_20
transcript.pyannote[1533].start 9522.00284375
transcript.pyannote[1533].end 9529.63034375
transcript.pyannote[1534].speaker SPEAKER_20
transcript.pyannote[1534].start 9530.01846875
transcript.pyannote[1534].end 9532.66784375
transcript.pyannote[1535].speaker SPEAKER_20
transcript.pyannote[1535].start 9533.02221875
transcript.pyannote[1535].end 9539.02971875
transcript.pyannote[1536].speaker SPEAKER_19
transcript.pyannote[1536].start 9543.88971875
transcript.pyannote[1536].end 9555.53346875
transcript.pyannote[1537].speaker SPEAKER_20
transcript.pyannote[1537].start 9555.85409375
transcript.pyannote[1537].end 9559.41471875
transcript.pyannote[1538].speaker SPEAKER_20
transcript.pyannote[1538].start 9559.61721875
transcript.pyannote[1538].end 9566.99159375
transcript.pyannote[1539].speaker SPEAKER_20
transcript.pyannote[1539].start 9567.41346875
transcript.pyannote[1539].end 9568.84784375
transcript.pyannote[1540].speaker SPEAKER_20
transcript.pyannote[1540].start 9569.23596875
transcript.pyannote[1540].end 9570.06284375
transcript.pyannote[1541].speaker SPEAKER_20
transcript.pyannote[1541].start 9570.68721875
transcript.pyannote[1541].end 9571.66596875
transcript.pyannote[1542].speaker SPEAKER_20
transcript.pyannote[1542].start 9571.95284375
transcript.pyannote[1542].end 9585.92534375
transcript.pyannote[1543].speaker SPEAKER_20
transcript.pyannote[1543].start 9586.27971875
transcript.pyannote[1543].end 9599.81346875
transcript.pyannote[1544].speaker SPEAKER_20
transcript.pyannote[1544].start 9600.11721875
transcript.pyannote[1544].end 9602.69909375
transcript.pyannote[1545].speaker SPEAKER_20
transcript.pyannote[1545].start 9603.01971875
transcript.pyannote[1545].end 9606.24284375
transcript.pyannote[1546].speaker SPEAKER_19
transcript.pyannote[1546].start 9606.37784375
transcript.pyannote[1546].end 9608.52096875
transcript.pyannote[1547].speaker SPEAKER_19
transcript.pyannote[1547].start 9608.97659375
transcript.pyannote[1547].end 9613.87034375
transcript.pyannote[1548].speaker SPEAKER_19
transcript.pyannote[1548].start 9614.19096875
transcript.pyannote[1548].end 9617.36346875
transcript.pyannote[1549].speaker SPEAKER_19
transcript.pyannote[1549].start 9617.65034375
transcript.pyannote[1549].end 9629.96909375
transcript.pyannote[1550].speaker SPEAKER_19
transcript.pyannote[1550].start 9630.39096875
transcript.pyannote[1550].end 9635.09909375
transcript.pyannote[1551].speaker SPEAKER_19
transcript.pyannote[1551].start 9635.41971875
transcript.pyannote[1551].end 9660.31034375
transcript.pyannote[1552].speaker SPEAKER_19
transcript.pyannote[1552].start 9660.74909375
transcript.pyannote[1552].end 9664.84971875
transcript.pyannote[1553].speaker SPEAKER_19
transcript.pyannote[1553].start 9665.44034375
transcript.pyannote[1553].end 9668.20784375
transcript.pyannote[1554].speaker SPEAKER_19
transcript.pyannote[1554].start 9668.61284375
transcript.pyannote[1554].end 9670.21596875
transcript.pyannote[1555].speaker SPEAKER_19
transcript.pyannote[1555].start 9670.53659375
transcript.pyannote[1555].end 9673.30409375
transcript.pyannote[1556].speaker SPEAKER_19
transcript.pyannote[1556].start 9673.70909375
transcript.pyannote[1556].end 9677.60721875
transcript.pyannote[1557].speaker SPEAKER_19
transcript.pyannote[1557].start 9677.74221875
transcript.pyannote[1557].end 9682.77096875
transcript.pyannote[1558].speaker SPEAKER_19
transcript.pyannote[1558].start 9682.97346875
transcript.pyannote[1558].end 9683.14221875
transcript.pyannote[1559].speaker SPEAKER_19
transcript.pyannote[1559].start 9683.37846875
transcript.pyannote[1559].end 9687.58034375
transcript.pyannote[1560].speaker SPEAKER_19
transcript.pyannote[1560].start 9687.79971875
transcript.pyannote[1560].end 9694.12784375
transcript.pyannote[1561].speaker SPEAKER_19
transcript.pyannote[1561].start 9694.66784375
transcript.pyannote[1561].end 9696.03471875
transcript.pyannote[1562].speaker SPEAKER_20
transcript.pyannote[1562].start 9694.85346875
transcript.pyannote[1562].end 9695.12346875
transcript.pyannote[1563].speaker SPEAKER_20
transcript.pyannote[1563].start 9696.42284375
transcript.pyannote[1563].end 9717.38159375
transcript.pyannote[1564].speaker SPEAKER_20
transcript.pyannote[1564].start 9717.58409375
transcript.pyannote[1564].end 9719.62596875
transcript.pyannote[1565].speaker SPEAKER_20
transcript.pyannote[1565].start 9720.09846875
transcript.pyannote[1565].end 9723.57471875
transcript.pyannote[1566].speaker SPEAKER_20
transcript.pyannote[1566].start 9723.77721875
transcript.pyannote[1566].end 9726.94971875
transcript.pyannote[1567].speaker SPEAKER_20
transcript.pyannote[1567].start 9727.21971875
transcript.pyannote[1567].end 9731.75909375
transcript.pyannote[1568].speaker SPEAKER_20
transcript.pyannote[1568].start 9732.14721875
transcript.pyannote[1568].end 9734.03721875
transcript.pyannote[1569].speaker SPEAKER_20
transcript.pyannote[1569].start 9734.30721875
transcript.pyannote[1569].end 9739.94346875
transcript.pyannote[1570].speaker SPEAKER_20
transcript.pyannote[1570].start 9740.34846875
transcript.pyannote[1570].end 9746.28846875
transcript.pyannote[1571].speaker SPEAKER_00
transcript.pyannote[1571].start 9745.54596875
transcript.pyannote[1571].end 9746.05221875
transcript.pyannote[1572].speaker SPEAKER_20
transcript.pyannote[1572].start 9746.74409375
transcript.pyannote[1572].end 9761.08784375
transcript.pyannote[1573].speaker SPEAKER_20
transcript.pyannote[1573].start 9761.22284375
transcript.pyannote[1573].end 9764.26034375
transcript.pyannote[1574].speaker SPEAKER_20
transcript.pyannote[1574].start 9764.54721875
transcript.pyannote[1574].end 9766.42034375
transcript.pyannote[1575].speaker SPEAKER_20
transcript.pyannote[1575].start 9766.92659375
transcript.pyannote[1575].end 9767.58471875
transcript.pyannote[1576].speaker SPEAKER_20
transcript.pyannote[1576].start 9767.88846875
transcript.pyannote[1576].end 9770.63909375
transcript.pyannote[1577].speaker SPEAKER_20
transcript.pyannote[1577].start 9770.74034375
transcript.pyannote[1577].end 9771.88784375
transcript.pyannote[1578].speaker SPEAKER_20
transcript.pyannote[1578].start 9772.19159375
transcript.pyannote[1578].end 9776.88284375
transcript.pyannote[1579].speaker SPEAKER_20
transcript.pyannote[1579].start 9777.27096875
transcript.pyannote[1579].end 9781.74284375
transcript.pyannote[1580].speaker SPEAKER_20
transcript.pyannote[1580].start 9781.91159375
transcript.pyannote[1580].end 9785.72534375
transcript.pyannote[1581].speaker SPEAKER_20
transcript.pyannote[1581].start 9785.82659375
transcript.pyannote[1581].end 9787.15971875
transcript.pyannote[1582].speaker SPEAKER_20
transcript.pyannote[1582].start 9787.46346875
transcript.pyannote[1582].end 9789.52221875
transcript.pyannote[1583].speaker SPEAKER_20
transcript.pyannote[1583].start 9789.85971875
transcript.pyannote[1583].end 9794.88846875
transcript.pyannote[1584].speaker SPEAKER_20
transcript.pyannote[1584].start 9795.17534375
transcript.pyannote[1584].end 9797.26784375
transcript.pyannote[1585].speaker SPEAKER_20
transcript.pyannote[1585].start 9797.60534375
transcript.pyannote[1585].end 9798.49971875
transcript.pyannote[1586].speaker SPEAKER_20
transcript.pyannote[1586].start 9798.98909375
transcript.pyannote[1586].end 9799.51221875
transcript.pyannote[1587].speaker SPEAKER_20
transcript.pyannote[1587].start 9799.98471875
transcript.pyannote[1587].end 9800.64284375
transcript.pyannote[1588].speaker SPEAKER_20
transcript.pyannote[1588].start 9800.98034375
transcript.pyannote[1588].end 9803.07284375
transcript.pyannote[1589].speaker SPEAKER_20
transcript.pyannote[1589].start 9803.98409375
transcript.pyannote[1589].end 9805.78971875
transcript.pyannote[1590].speaker SPEAKER_19
transcript.pyannote[1590].start 9805.95846875
transcript.pyannote[1590].end 9817.36596875
transcript.pyannote[1591].speaker SPEAKER_19
transcript.pyannote[1591].start 9817.58534375
transcript.pyannote[1591].end 9821.36534375
transcript.pyannote[1592].speaker SPEAKER_19
transcript.pyannote[1592].start 9821.50034375
transcript.pyannote[1592].end 9826.19159375
transcript.pyannote[1593].speaker SPEAKER_19
transcript.pyannote[1593].start 9826.46159375
transcript.pyannote[1593].end 9831.81096875
transcript.pyannote[1594].speaker SPEAKER_20
transcript.pyannote[1594].start 9832.11471875
transcript.pyannote[1594].end 9835.60784375
transcript.pyannote[1595].speaker SPEAKER_20
transcript.pyannote[1595].start 9836.14784375
transcript.pyannote[1595].end 9864.21096875
transcript.pyannote[1596].speaker SPEAKER_19
transcript.pyannote[1596].start 9861.73034375
transcript.pyannote[1596].end 9861.79784375
transcript.pyannote[1597].speaker SPEAKER_19
transcript.pyannote[1597].start 9863.70471875
transcript.pyannote[1597].end 9864.17721875
transcript.pyannote[1598].speaker SPEAKER_19
transcript.pyannote[1598].start 9864.21096875
transcript.pyannote[1598].end 9864.68346875
transcript.pyannote[1599].speaker SPEAKER_20
transcript.pyannote[1599].start 9864.68346875
transcript.pyannote[1599].end 9865.64534375
transcript.pyannote[1600].speaker SPEAKER_31
transcript.pyannote[1600].start 9868.37909375
transcript.pyannote[1600].end 9869.27346875
transcript.pyannote[1601].speaker SPEAKER_31
transcript.pyannote[1601].start 9872.20971875
transcript.pyannote[1601].end 9874.87596875
transcript.pyannote[1602].speaker SPEAKER_39
transcript.pyannote[1602].start 9884.27534375
transcript.pyannote[1602].end 9886.80659375
transcript.pyannote[1603].speaker SPEAKER_32
transcript.pyannote[1603].start 9888.86534375
transcript.pyannote[1603].end 9889.52346875
transcript.pyannote[1604].speaker SPEAKER_39
transcript.pyannote[1604].start 9889.69221875
transcript.pyannote[1604].end 9890.31659375
transcript.pyannote[1605].speaker SPEAKER_32
transcript.pyannote[1605].start 9890.31659375
transcript.pyannote[1605].end 9891.29534375
transcript.pyannote[1606].speaker SPEAKER_13
transcript.pyannote[1606].start 9895.21034375
transcript.pyannote[1606].end 9895.22721875
transcript.pyannote[1607].speaker SPEAKER_00
transcript.pyannote[1607].start 9895.22721875
transcript.pyannote[1607].end 9895.24409375
transcript.pyannote[1608].speaker SPEAKER_19
transcript.pyannote[1608].start 9903.39471875
transcript.pyannote[1608].end 9903.81659375
transcript.pyannote[1609].speaker SPEAKER_39
transcript.pyannote[1609].start 9904.69409375
transcript.pyannote[1609].end 9905.35221875
transcript.pyannote[1610].speaker SPEAKER_39
transcript.pyannote[1610].start 9906.29721875
transcript.pyannote[1610].end 9908.64284375
transcript.pyannote[1611].speaker SPEAKER_39
transcript.pyannote[1611].start 9909.01409375
transcript.pyannote[1611].end 9913.82346875
transcript.pyannote[1612].speaker SPEAKER_39
transcript.pyannote[1612].start 9914.29596875
transcript.pyannote[1612].end 9916.64159375
transcript.pyannote[1613].speaker SPEAKER_39
transcript.pyannote[1613].start 9918.26159375
transcript.pyannote[1613].end 9923.03721875
transcript.pyannote[1614].speaker SPEAKER_39
transcript.pyannote[1614].start 9923.64471875
transcript.pyannote[1614].end 9926.74971875
transcript.pyannote[1615].speaker SPEAKER_39
transcript.pyannote[1615].start 9927.55971875
transcript.pyannote[1615].end 9928.35284375
transcript.pyannote[1616].speaker SPEAKER_39
transcript.pyannote[1616].start 9928.67346875
transcript.pyannote[1616].end 9932.31846875
transcript.pyannote[1617].speaker SPEAKER_19
transcript.pyannote[1617].start 9933.98909375
transcript.pyannote[1617].end 9935.49096875
transcript.pyannote[1618].speaker SPEAKER_39
transcript.pyannote[1618].start 9934.56284375
transcript.pyannote[1618].end 9934.90034375
transcript.pyannote[1619].speaker SPEAKER_39
transcript.pyannote[1619].start 9935.64284375
transcript.pyannote[1619].end 9941.44784375
transcript.pyannote[1620].speaker SPEAKER_39
transcript.pyannote[1620].start 9941.83596875
transcript.pyannote[1620].end 9942.86534375
transcript.pyannote[1621].speaker SPEAKER_39
transcript.pyannote[1621].start 9943.47284375
transcript.pyannote[1621].end 9952.58534375
transcript.pyannote[1622].speaker SPEAKER_39
transcript.pyannote[1622].start 9953.09159375
transcript.pyannote[1622].end 9965.03909375
transcript.pyannote[1623].speaker SPEAKER_39
transcript.pyannote[1623].start 9965.14034375
transcript.pyannote[1623].end 9968.02596875
transcript.pyannote[1624].speaker SPEAKER_39
transcript.pyannote[1624].start 9968.46471875
transcript.pyannote[1624].end 9971.28284375
transcript.pyannote[1625].speaker SPEAKER_19
transcript.pyannote[1625].start 9971.94096875
transcript.pyannote[1625].end 9980.09159375
transcript.pyannote[1626].speaker SPEAKER_39
transcript.pyannote[1626].start 9980.09159375
transcript.pyannote[1626].end 9980.10846875
transcript.pyannote[1627].speaker SPEAKER_19
transcript.pyannote[1627].start 9980.10846875
transcript.pyannote[1627].end 9980.17596875
transcript.pyannote[1628].speaker SPEAKER_39
transcript.pyannote[1628].start 9980.17596875
transcript.pyannote[1628].end 9980.27721875
transcript.pyannote[1629].speaker SPEAKER_39
transcript.pyannote[1629].start 9980.29409375
transcript.pyannote[1629].end 9982.89284375
transcript.pyannote[1630].speaker SPEAKER_19
transcript.pyannote[1630].start 9981.89721875
transcript.pyannote[1630].end 9983.14596875
transcript.pyannote[1631].speaker SPEAKER_39
transcript.pyannote[1631].start 9983.14596875
transcript.pyannote[1631].end 9985.94721875
transcript.pyannote[1632].speaker SPEAKER_19
transcript.pyannote[1632].start 9992.42721875
transcript.pyannote[1632].end 9999.68346875
transcript.pyannote[1633].speaker SPEAKER_39
transcript.pyannote[1633].start 9999.68346875
transcript.pyannote[1633].end 10001.20221875
transcript.pyannote[1634].speaker SPEAKER_19
transcript.pyannote[1634].start 10000.72971875
transcript.pyannote[1634].end 10003.95284375
transcript.pyannote[1635].speaker SPEAKER_39
transcript.pyannote[1635].start 10002.06284375
transcript.pyannote[1635].end 10008.37409375
transcript.pyannote[1636].speaker SPEAKER_19
transcript.pyannote[1636].start 10008.37409375
transcript.pyannote[1636].end 10008.66096875
transcript.pyannote[1637].speaker SPEAKER_39
transcript.pyannote[1637].start 10008.61034375
transcript.pyannote[1637].end 10012.81221875
transcript.pyannote[1638].speaker SPEAKER_19
transcript.pyannote[1638].start 10012.30596875
transcript.pyannote[1638].end 10012.89659375
transcript.pyannote[1639].speaker SPEAKER_39
transcript.pyannote[1639].start 10012.89659375
transcript.pyannote[1639].end 10016.23784375
transcript.pyannote[1640].speaker SPEAKER_19
transcript.pyannote[1640].start 10018.09409375
transcript.pyannote[1640].end 10020.99659375
transcript.pyannote[1641].speaker SPEAKER_39
transcript.pyannote[1641].start 10021.77284375
transcript.pyannote[1641].end 10023.08909375
transcript.pyannote[1642].speaker SPEAKER_19
transcript.pyannote[1642].start 10022.53221875
transcript.pyannote[1642].end 10024.45596875
transcript.pyannote[1643].speaker SPEAKER_39
transcript.pyannote[1643].start 10024.79346875
transcript.pyannote[1643].end 10025.14784375
transcript.pyannote[1644].speaker SPEAKER_19
transcript.pyannote[1644].start 10024.82721875
transcript.pyannote[1644].end 10027.42596875
transcript.pyannote[1645].speaker SPEAKER_39
transcript.pyannote[1645].start 10027.56096875
transcript.pyannote[1645].end 10028.18534375
transcript.pyannote[1646].speaker SPEAKER_19
transcript.pyannote[1646].start 10028.94471875
transcript.pyannote[1646].end 10032.89346875
transcript.pyannote[1647].speaker SPEAKER_39
transcript.pyannote[1647].start 10028.97846875
transcript.pyannote[1647].end 10029.43409375
transcript.pyannote[1648].speaker SPEAKER_39
transcript.pyannote[1648].start 10033.06221875
transcript.pyannote[1648].end 10049.05971875
transcript.pyannote[1649].speaker SPEAKER_39
transcript.pyannote[1649].start 10050.02159375
transcript.pyannote[1649].end 10051.05096875
transcript.pyannote[1650].speaker SPEAKER_39
transcript.pyannote[1650].start 10051.77659375
transcript.pyannote[1650].end 10054.47659375
transcript.pyannote[1651].speaker SPEAKER_39
transcript.pyannote[1651].start 10054.99971875
transcript.pyannote[1651].end 10063.03221875
transcript.pyannote[1652].speaker SPEAKER_39
transcript.pyannote[1652].start 10063.57221875
transcript.pyannote[1652].end 10066.18784375
transcript.pyannote[1653].speaker SPEAKER_39
transcript.pyannote[1653].start 10068.98909375
transcript.pyannote[1653].end 10070.01846875
transcript.pyannote[1654].speaker SPEAKER_39
transcript.pyannote[1654].start 10070.18721875
transcript.pyannote[1654].end 10070.30534375
transcript.pyannote[1655].speaker SPEAKER_19
transcript.pyannote[1655].start 10070.30534375
transcript.pyannote[1655].end 10070.69346875
transcript.pyannote[1656].speaker SPEAKER_19
transcript.pyannote[1656].start 10071.63846875
transcript.pyannote[1656].end 10077.93284375
transcript.pyannote[1657].speaker SPEAKER_19
transcript.pyannote[1657].start 10078.40534375
transcript.pyannote[1657].end 10088.32784375
transcript.pyannote[1658].speaker SPEAKER_39
transcript.pyannote[1658].start 10088.31096875
transcript.pyannote[1658].end 10102.01346875
transcript.pyannote[1659].speaker SPEAKER_39
transcript.pyannote[1659].start 10102.72221875
transcript.pyannote[1659].end 10108.76346875
transcript.pyannote[1660].speaker SPEAKER_39
transcript.pyannote[1660].start 10109.16846875
transcript.pyannote[1660].end 10142.00721875
transcript.pyannote[1661].speaker SPEAKER_39
transcript.pyannote[1661].start 10142.58096875
transcript.pyannote[1661].end 10148.75721875
transcript.pyannote[1662].speaker SPEAKER_39
transcript.pyannote[1662].start 10149.12846875
transcript.pyannote[1662].end 10152.16596875
transcript.pyannote[1663].speaker SPEAKER_39
transcript.pyannote[1663].start 10153.68471875
transcript.pyannote[1663].end 10155.23721875
transcript.pyannote[1664].speaker SPEAKER_39
transcript.pyannote[1664].start 10155.69284375
transcript.pyannote[1664].end 10158.94971875
transcript.pyannote[1665].speaker SPEAKER_39
transcript.pyannote[1665].start 10159.94534375
transcript.pyannote[1665].end 10164.83909375
transcript.pyannote[1666].speaker SPEAKER_39
transcript.pyannote[1666].start 10165.68284375
transcript.pyannote[1666].end 10169.05784375
transcript.pyannote[1667].speaker SPEAKER_39
transcript.pyannote[1667].start 10169.53034375
transcript.pyannote[1667].end 10175.90909375
transcript.pyannote[1668].speaker SPEAKER_39
transcript.pyannote[1668].start 10176.60096875
transcript.pyannote[1668].end 10199.44971875
transcript.pyannote[1669].speaker SPEAKER_39
transcript.pyannote[1669].start 10200.14159375
transcript.pyannote[1669].end 10203.73596875
transcript.pyannote[1670].speaker SPEAKER_39
transcript.pyannote[1670].start 10204.61346875
transcript.pyannote[1670].end 10205.15346875
transcript.pyannote[1671].speaker SPEAKER_08
transcript.pyannote[1671].start 10206.77346875
transcript.pyannote[1671].end 10212.05534375
transcript.pyannote[1672].speaker SPEAKER_08
transcript.pyannote[1672].start 10212.12284375
transcript.pyannote[1672].end 10212.40971875
transcript.pyannote[1673].speaker SPEAKER_08
transcript.pyannote[1673].start 10212.71346875
transcript.pyannote[1673].end 10221.55596875
transcript.pyannote[1674].speaker SPEAKER_39
transcript.pyannote[1674].start 10216.69596875
transcript.pyannote[1674].end 10217.03346875
transcript.pyannote[1675].speaker SPEAKER_39
transcript.pyannote[1675].start 10222.18034375
transcript.pyannote[1675].end 10226.63534375
transcript.pyannote[1676].speaker SPEAKER_19
transcript.pyannote[1676].start 10232.96346875
transcript.pyannote[1676].end 10235.42721875
transcript.pyannote[1677].speaker SPEAKER_39
transcript.pyannote[1677].start 10234.76909375
transcript.pyannote[1677].end 10234.85346875
transcript.pyannote[1678].speaker SPEAKER_27
transcript.pyannote[1678].start 10234.85346875
transcript.pyannote[1678].end 10234.97159375
transcript.pyannote[1679].speaker SPEAKER_39
transcript.pyannote[1679].start 10234.97159375
transcript.pyannote[1679].end 10235.05596875
transcript.pyannote[1680].speaker SPEAKER_27
transcript.pyannote[1680].start 10235.79846875
transcript.pyannote[1680].end 10252.28534375
transcript.pyannote[1681].speaker SPEAKER_39
transcript.pyannote[1681].start 10252.28534375
transcript.pyannote[1681].end 10256.31846875
transcript.pyannote[1682].speaker SPEAKER_39
transcript.pyannote[1682].start 10256.67284375
transcript.pyannote[1682].end 10259.11971875
transcript.pyannote[1683].speaker SPEAKER_39
transcript.pyannote[1683].start 10259.49096875
transcript.pyannote[1683].end 10262.02221875
transcript.pyannote[1684].speaker SPEAKER_39
transcript.pyannote[1684].start 10262.47784375
transcript.pyannote[1684].end 10270.40909375
transcript.pyannote[1685].speaker SPEAKER_39
transcript.pyannote[1685].start 10270.71284375
transcript.pyannote[1685].end 10274.99909375
transcript.pyannote[1686].speaker SPEAKER_39
transcript.pyannote[1686].start 10275.94409375
transcript.pyannote[1686].end 10279.31909375
transcript.pyannote[1687].speaker SPEAKER_39
transcript.pyannote[1687].start 10279.90971875
transcript.pyannote[1687].end 10281.14159375
transcript.pyannote[1688].speaker SPEAKER_39
transcript.pyannote[1688].start 10282.20471875
transcript.pyannote[1688].end 10305.57659375
transcript.pyannote[1689].speaker SPEAKER_39
transcript.pyannote[1689].start 10305.86346875
transcript.pyannote[1689].end 10322.62034375
transcript.pyannote[1690].speaker SPEAKER_39
transcript.pyannote[1690].start 10323.46409375
transcript.pyannote[1690].end 10331.31096875
transcript.pyannote[1691].speaker SPEAKER_39
transcript.pyannote[1691].start 10331.46284375
transcript.pyannote[1691].end 10333.43721875
transcript.pyannote[1692].speaker SPEAKER_39
transcript.pyannote[1692].start 10333.60596875
transcript.pyannote[1692].end 10392.88784375
transcript.pyannote[1693].speaker SPEAKER_19
transcript.pyannote[1693].start 10392.97221875
transcript.pyannote[1693].end 10397.89971875
transcript.pyannote[1694].speaker SPEAKER_39
transcript.pyannote[1694].start 10397.30909375
transcript.pyannote[1694].end 10421.03534375
transcript.pyannote[1695].speaker SPEAKER_19
transcript.pyannote[1695].start 10398.99659375
transcript.pyannote[1695].end 10399.26659375
transcript.pyannote[1696].speaker SPEAKER_39
transcript.pyannote[1696].start 10421.10284375
transcript.pyannote[1696].end 10425.23721875
transcript.pyannote[1697].speaker SPEAKER_39
transcript.pyannote[1697].start 10426.46909375
transcript.pyannote[1697].end 10428.91596875
transcript.pyannote[1698].speaker SPEAKER_13
transcript.pyannote[1698].start 10427.19471875
transcript.pyannote[1698].end 10427.21159375
transcript.pyannote[1699].speaker SPEAKER_31
transcript.pyannote[1699].start 10427.21159375
transcript.pyannote[1699].end 10427.90346875
transcript.pyannote[1700].speaker SPEAKER_31
transcript.pyannote[1700].start 10429.79346875
transcript.pyannote[1700].end 10430.08034375
transcript.pyannote[1701].speaker SPEAKER_31
transcript.pyannote[1701].start 10430.35034375
transcript.pyannote[1701].end 10430.82284375
transcript.pyannote[1702].speaker SPEAKER_31
transcript.pyannote[1702].start 10431.24471875
transcript.pyannote[1702].end 10435.56471875
transcript.pyannote[1703].speaker SPEAKER_31
transcript.pyannote[1703].start 10436.45909375
transcript.pyannote[1703].end 10439.09159375
transcript.pyannote[1704].speaker SPEAKER_29
transcript.pyannote[1704].start 10445.99346875
transcript.pyannote[1704].end 10448.98034375
transcript.pyannote[1705].speaker SPEAKER_32
transcript.pyannote[1705].start 10449.65534375
transcript.pyannote[1705].end 10450.43159375
transcript.pyannote[1706].speaker SPEAKER_32
transcript.pyannote[1706].start 10450.65096875
transcript.pyannote[1706].end 10451.96721875
transcript.pyannote[1707].speaker SPEAKER_29
transcript.pyannote[1707].start 10460.77596875
transcript.pyannote[1707].end 10466.74971875
transcript.pyannote[1708].speaker SPEAKER_29
transcript.pyannote[1708].start 10467.59346875
transcript.pyannote[1708].end 10477.27971875
transcript.pyannote[1709].speaker SPEAKER_29
transcript.pyannote[1709].start 10478.07284375
transcript.pyannote[1709].end 10482.74721875
transcript.pyannote[1710].speaker SPEAKER_29
transcript.pyannote[1710].start 10483.21971875
transcript.pyannote[1710].end 10483.86096875
transcript.pyannote[1711].speaker SPEAKER_29
transcript.pyannote[1711].start 10484.36721875
transcript.pyannote[1711].end 10493.32784375
transcript.pyannote[1712].speaker SPEAKER_29
transcript.pyannote[1712].start 10493.61471875
transcript.pyannote[1712].end 10497.37784375
transcript.pyannote[1713].speaker SPEAKER_29
transcript.pyannote[1713].start 10497.73221875
transcript.pyannote[1713].end 10503.62159375
transcript.pyannote[1714].speaker SPEAKER_19
transcript.pyannote[1714].start 10506.52409375
transcript.pyannote[1714].end 10508.71784375
transcript.pyannote[1715].speaker SPEAKER_29
transcript.pyannote[1715].start 10509.89909375
transcript.pyannote[1715].end 10511.85659375
transcript.pyannote[1716].speaker SPEAKER_19
transcript.pyannote[1716].start 10511.21534375
transcript.pyannote[1716].end 10513.24034375
transcript.pyannote[1717].speaker SPEAKER_29
transcript.pyannote[1717].start 10512.91971875
transcript.pyannote[1717].end 10513.91534375
transcript.pyannote[1718].speaker SPEAKER_19
transcript.pyannote[1718].start 10515.06284375
transcript.pyannote[1718].end 10518.64034375
transcript.pyannote[1719].speaker SPEAKER_29
transcript.pyannote[1719].start 10527.58409375
transcript.pyannote[1719].end 10528.20846875
transcript.pyannote[1720].speaker SPEAKER_29
transcript.pyannote[1720].start 10529.87909375
transcript.pyannote[1720].end 10530.26721875
transcript.pyannote[1721].speaker SPEAKER_19
transcript.pyannote[1721].start 10529.94659375
transcript.pyannote[1721].end 10531.17846875
transcript.pyannote[1722].speaker SPEAKER_19
transcript.pyannote[1722].start 10531.49909375
transcript.pyannote[1722].end 10532.91659375
transcript.pyannote[1723].speaker SPEAKER_19
transcript.pyannote[1723].start 10533.25409375
transcript.pyannote[1723].end 10533.45659375
transcript.pyannote[1724].speaker SPEAKER_19
transcript.pyannote[1724].start 10535.70096875
transcript.pyannote[1724].end 10536.35909375
transcript.pyannote[1725].speaker SPEAKER_10
transcript.pyannote[1725].start 10536.35909375
transcript.pyannote[1725].end 10544.22284375
transcript.pyannote[1726].speaker SPEAKER_10
transcript.pyannote[1726].start 10544.47596875
transcript.pyannote[1726].end 10547.96909375
transcript.pyannote[1727].speaker SPEAKER_29
transcript.pyannote[1727].start 10547.96909375
transcript.pyannote[1727].end 10549.52159375
transcript.pyannote[1728].speaker SPEAKER_29
transcript.pyannote[1728].start 10552.13721875
transcript.pyannote[1728].end 10553.11596875
transcript.pyannote[1729].speaker SPEAKER_10
transcript.pyannote[1729].start 10556.79471875
transcript.pyannote[1729].end 10557.94221875
transcript.pyannote[1730].speaker SPEAKER_29
transcript.pyannote[1730].start 10558.75221875
transcript.pyannote[1730].end 10559.51159375
transcript.pyannote[1731].speaker SPEAKER_10
transcript.pyannote[1731].start 10559.51159375
transcript.pyannote[1731].end 10559.83221875
transcript.pyannote[1732].speaker SPEAKER_29
transcript.pyannote[1732].start 10560.33846875
transcript.pyannote[1732].end 10561.51971875
transcript.pyannote[1733].speaker SPEAKER_29
transcript.pyannote[1733].start 10562.00909375
transcript.pyannote[1733].end 10569.21471875
transcript.pyannote[1734].speaker SPEAKER_29
transcript.pyannote[1734].start 10570.24409375
transcript.pyannote[1734].end 10581.06096875
transcript.pyannote[1735].speaker SPEAKER_29
transcript.pyannote[1735].start 10581.76971875
transcript.pyannote[1735].end 10589.65034375
transcript.pyannote[1736].speaker SPEAKER_29
transcript.pyannote[1736].start 10590.08909375
transcript.pyannote[1736].end 10592.21534375
transcript.pyannote[1737].speaker SPEAKER_29
transcript.pyannote[1737].start 10592.68784375
transcript.pyannote[1737].end 10593.48096875
transcript.pyannote[1738].speaker SPEAKER_29
transcript.pyannote[1738].start 10594.05471875
transcript.pyannote[1738].end 10608.16221875
transcript.pyannote[1739].speaker SPEAKER_29
transcript.pyannote[1739].start 10608.70221875
transcript.pyannote[1739].end 10610.81159375
transcript.pyannote[1740].speaker SPEAKER_29
transcript.pyannote[1740].start 10611.13221875
transcript.pyannote[1740].end 10611.60471875
transcript.pyannote[1741].speaker SPEAKER_29
transcript.pyannote[1741].start 10613.07284375
transcript.pyannote[1741].end 10615.65471875
transcript.pyannote[1742].speaker SPEAKER_29
transcript.pyannote[1742].start 10616.26221875
transcript.pyannote[1742].end 10620.02534375
transcript.pyannote[1743].speaker SPEAKER_19
transcript.pyannote[1743].start 10620.46409375
transcript.pyannote[1743].end 10623.21471875
transcript.pyannote[1744].speaker SPEAKER_19
transcript.pyannote[1744].start 10623.28221875
transcript.pyannote[1744].end 10631.98971875
transcript.pyannote[1745].speaker SPEAKER_29
transcript.pyannote[1745].start 10633.00221875
transcript.pyannote[1745].end 10640.59596875
transcript.pyannote[1746].speaker SPEAKER_29
transcript.pyannote[1746].start 10641.08534375
transcript.pyannote[1746].end 10678.76721875
transcript.pyannote[1747].speaker SPEAKER_29
transcript.pyannote[1747].start 10679.13846875
transcript.pyannote[1747].end 10685.44971875
transcript.pyannote[1748].speaker SPEAKER_19
transcript.pyannote[1748].start 10687.57596875
transcript.pyannote[1748].end 10694.49471875
transcript.pyannote[1749].speaker SPEAKER_29
transcript.pyannote[1749].start 10694.69721875
transcript.pyannote[1749].end 10695.28784375
transcript.pyannote[1750].speaker SPEAKER_29
transcript.pyannote[1750].start 10695.37221875
transcript.pyannote[1750].end 10705.41284375
transcript.pyannote[1751].speaker SPEAKER_29
transcript.pyannote[1751].start 10705.88534375
transcript.pyannote[1751].end 10719.95909375
transcript.pyannote[1752].speaker SPEAKER_29
transcript.pyannote[1752].start 10720.12784375
transcript.pyannote[1752].end 10725.71346875
transcript.pyannote[1753].speaker SPEAKER_29
transcript.pyannote[1753].start 10725.94971875
transcript.pyannote[1753].end 10727.19846875
transcript.pyannote[1754].speaker SPEAKER_29
transcript.pyannote[1754].start 10727.70471875
transcript.pyannote[1754].end 10756.44284375
transcript.pyannote[1755].speaker SPEAKER_29
transcript.pyannote[1755].start 10756.57784375
transcript.pyannote[1755].end 10763.53034375
transcript.pyannote[1756].speaker SPEAKER_29
transcript.pyannote[1756].start 10764.40784375
transcript.pyannote[1756].end 10764.66096875
transcript.pyannote[1757].speaker SPEAKER_19
transcript.pyannote[1757].start 10764.66096875
transcript.pyannote[1757].end 10766.95596875
transcript.pyannote[1758].speaker SPEAKER_19
transcript.pyannote[1758].start 10767.17534375
transcript.pyannote[1758].end 10784.30346875
transcript.pyannote[1759].speaker SPEAKER_19
transcript.pyannote[1759].start 10784.80971875
transcript.pyannote[1759].end 10785.34971875
transcript.pyannote[1760].speaker SPEAKER_19
transcript.pyannote[1760].start 10785.63659375
transcript.pyannote[1760].end 10801.02659375
transcript.pyannote[1761].speaker SPEAKER_19
transcript.pyannote[1761].start 10801.46534375
transcript.pyannote[1761].end 10803.22034375
transcript.pyannote[1762].speaker SPEAKER_29
transcript.pyannote[1762].start 10803.35534375
transcript.pyannote[1762].end 10817.26034375
transcript.pyannote[1763].speaker SPEAKER_29
transcript.pyannote[1763].start 10817.32784375
transcript.pyannote[1763].end 10854.08159375
transcript.pyannote[1764].speaker SPEAKER_29
transcript.pyannote[1764].start 10855.27971875
transcript.pyannote[1764].end 10862.19846875
transcript.pyannote[1765].speaker SPEAKER_29
transcript.pyannote[1765].start 10862.29971875
transcript.pyannote[1765].end 10868.94846875
transcript.pyannote[1766].speaker SPEAKER_29
transcript.pyannote[1766].start 10869.06659375
transcript.pyannote[1766].end 10876.86284375
transcript.pyannote[1767].speaker SPEAKER_29
transcript.pyannote[1767].start 10877.13284375
transcript.pyannote[1767].end 10914.79784375
transcript.pyannote[1768].speaker SPEAKER_29
transcript.pyannote[1768].start 10915.01721875
transcript.pyannote[1768].end 10922.61096875
transcript.pyannote[1769].speaker SPEAKER_19
transcript.pyannote[1769].start 10923.48846875
transcript.pyannote[1769].end 10925.56409375
transcript.pyannote[1770].speaker SPEAKER_19
transcript.pyannote[1770].start 10925.91846875
transcript.pyannote[1770].end 10933.29284375
transcript.pyannote[1771].speaker SPEAKER_19
transcript.pyannote[1771].start 10933.91721875
transcript.pyannote[1771].end 10939.35096875
transcript.pyannote[1772].speaker SPEAKER_19
transcript.pyannote[1772].start 10939.38471875
transcript.pyannote[1772].end 10957.13721875
transcript.pyannote[1773].speaker SPEAKER_29
transcript.pyannote[1773].start 10958.09909375
transcript.pyannote[1773].end 10960.46159375
transcript.pyannote[1774].speaker SPEAKER_29
transcript.pyannote[1774].start 10961.06909375
transcript.pyannote[1774].end 10973.59034375
transcript.pyannote[1775].speaker SPEAKER_29
transcript.pyannote[1775].start 10973.87721875
transcript.pyannote[1775].end 10979.02409375
transcript.pyannote[1776].speaker SPEAKER_29
transcript.pyannote[1776].start 10979.47971875
transcript.pyannote[1776].end 11000.50596875
transcript.pyannote[1777].speaker SPEAKER_29
transcript.pyannote[1777].start 11001.21471875
transcript.pyannote[1777].end 11001.77159375
transcript.pyannote[1778].speaker SPEAKER_29
transcript.pyannote[1778].start 11002.51409375
transcript.pyannote[1778].end 11035.18409375
transcript.pyannote[1779].speaker SPEAKER_29
transcript.pyannote[1779].start 11035.30221875
transcript.pyannote[1779].end 11038.45784375
transcript.pyannote[1780].speaker SPEAKER_19
transcript.pyannote[1780].start 11038.94721875
transcript.pyannote[1780].end 11044.76909375
transcript.pyannote[1781].speaker SPEAKER_19
transcript.pyannote[1781].start 11044.98846875
transcript.pyannote[1781].end 11054.55659375
transcript.pyannote[1782].speaker SPEAKER_19
transcript.pyannote[1782].start 11054.96159375
transcript.pyannote[1782].end 11059.63596875
transcript.pyannote[1783].speaker SPEAKER_19
transcript.pyannote[1783].start 11059.97346875
transcript.pyannote[1783].end 11061.67784375
transcript.pyannote[1784].speaker SPEAKER_29
transcript.pyannote[1784].start 11061.52596875
transcript.pyannote[1784].end 11069.32221875
transcript.pyannote[1785].speaker SPEAKER_33
transcript.pyannote[1785].start 11070.52034375
transcript.pyannote[1785].end 11070.79034375
transcript.pyannote[1786].speaker SPEAKER_29
transcript.pyannote[1786].start 11070.79034375
transcript.pyannote[1786].end 11071.29659375
transcript.pyannote[1787].speaker SPEAKER_33
transcript.pyannote[1787].start 11075.56596875
transcript.pyannote[1787].end 11075.58284375
transcript.pyannote[1788].speaker SPEAKER_31
transcript.pyannote[1788].start 11075.58284375
transcript.pyannote[1788].end 11077.96221875
transcript.pyannote[1789].speaker SPEAKER_31
transcript.pyannote[1789].start 11082.70409375
transcript.pyannote[1789].end 11082.72096875
transcript.pyannote[1790].speaker SPEAKER_00
transcript.pyannote[1790].start 11082.72096875
transcript.pyannote[1790].end 11084.76284375
transcript.pyannote[1791].speaker SPEAKER_00
transcript.pyannote[1791].start 11084.96534375
transcript.pyannote[1791].end 11086.39971875
transcript.pyannote[1792].speaker SPEAKER_00
transcript.pyannote[1792].start 11086.56846875
transcript.pyannote[1792].end 11087.24346875
transcript.pyannote[1793].speaker SPEAKER_33
transcript.pyannote[1793].start 11087.69909375
transcript.pyannote[1793].end 11087.83409375
transcript.pyannote[1794].speaker SPEAKER_00
transcript.pyannote[1794].start 11087.83409375
transcript.pyannote[1794].end 11087.96909375
transcript.pyannote[1795].speaker SPEAKER_33
transcript.pyannote[1795].start 11087.96909375
transcript.pyannote[1795].end 11088.03659375
transcript.pyannote[1796].speaker SPEAKER_00
transcript.pyannote[1796].start 11088.03659375
transcript.pyannote[1796].end 11088.13784375
transcript.pyannote[1797].speaker SPEAKER_33
transcript.pyannote[1797].start 11088.13784375
transcript.pyannote[1797].end 11088.27284375
transcript.pyannote[1798].speaker SPEAKER_00
transcript.pyannote[1798].start 11091.96846875
transcript.pyannote[1798].end 11092.89659375
transcript.pyannote[1799].speaker SPEAKER_00
transcript.pyannote[1799].start 11093.87534375
transcript.pyannote[1799].end 11096.00159375
transcript.pyannote[1800].speaker SPEAKER_00
transcript.pyannote[1800].start 11096.77784375
transcript.pyannote[1800].end 11097.94221875
transcript.pyannote[1801].speaker SPEAKER_08
transcript.pyannote[1801].start 11097.50346875
transcript.pyannote[1801].end 11097.97596875
transcript.pyannote[1802].speaker SPEAKER_00
transcript.pyannote[1802].start 11097.97596875
transcript.pyannote[1802].end 11098.00971875
transcript.pyannote[1803].speaker SPEAKER_00
transcript.pyannote[1803].start 11099.32596875
transcript.pyannote[1803].end 11101.90784375
transcript.pyannote[1804].speaker SPEAKER_00
transcript.pyannote[1804].start 11101.97534375
transcript.pyannote[1804].end 11107.69596875
transcript.pyannote[1805].speaker SPEAKER_00
transcript.pyannote[1805].start 11108.43846875
transcript.pyannote[1805].end 11111.34096875
transcript.pyannote[1806].speaker SPEAKER_00
transcript.pyannote[1806].start 11111.81346875
transcript.pyannote[1806].end 11112.91034375
transcript.pyannote[1807].speaker SPEAKER_00
transcript.pyannote[1807].start 11113.50096875
transcript.pyannote[1807].end 11115.25596875
transcript.pyannote[1808].speaker SPEAKER_00
transcript.pyannote[1808].start 11116.11659375
transcript.pyannote[1808].end 11117.92221875
transcript.pyannote[1809].speaker SPEAKER_00
transcript.pyannote[1809].start 11118.49596875
transcript.pyannote[1809].end 11121.33096875
transcript.pyannote[1810].speaker SPEAKER_00
transcript.pyannote[1810].start 11122.02284375
transcript.pyannote[1810].end 11123.20409375
transcript.pyannote[1811].speaker SPEAKER_00
transcript.pyannote[1811].start 11123.94659375
transcript.pyannote[1811].end 11125.81971875
transcript.pyannote[1812].speaker SPEAKER_00
transcript.pyannote[1812].start 11126.29221875
transcript.pyannote[1812].end 11128.04721875
transcript.pyannote[1813].speaker SPEAKER_00
transcript.pyannote[1813].start 11128.68846875
transcript.pyannote[1813].end 11130.62909375
transcript.pyannote[1814].speaker SPEAKER_00
transcript.pyannote[1814].start 11131.35471875
transcript.pyannote[1814].end 11132.73846875
transcript.pyannote[1815].speaker SPEAKER_00
transcript.pyannote[1815].start 11132.90721875
transcript.pyannote[1815].end 11134.76346875
transcript.pyannote[1816].speaker SPEAKER_00
transcript.pyannote[1816].start 11135.72534375
transcript.pyannote[1816].end 11136.56909375
transcript.pyannote[1817].speaker SPEAKER_00
transcript.pyannote[1817].start 11136.87284375
transcript.pyannote[1817].end 11137.78409375
transcript.pyannote[1818].speaker SPEAKER_00
transcript.pyannote[1818].start 11138.40846875
transcript.pyannote[1818].end 11142.72846875
transcript.pyannote[1819].speaker SPEAKER_08
transcript.pyannote[1819].start 11142.17159375
transcript.pyannote[1819].end 11142.35721875
transcript.pyannote[1820].speaker SPEAKER_08
transcript.pyannote[1820].start 11143.84221875
transcript.pyannote[1820].end 11157.27471875
transcript.pyannote[1821].speaker SPEAKER_00
transcript.pyannote[1821].start 11148.93846875
transcript.pyannote[1821].end 11152.17846875
transcript.pyannote[1822].speaker SPEAKER_08
transcript.pyannote[1822].start 11157.61221875
transcript.pyannote[1822].end 11161.18971875
transcript.pyannote[1823].speaker SPEAKER_00
transcript.pyannote[1823].start 11161.13909375
transcript.pyannote[1823].end 11162.40471875
transcript.pyannote[1824].speaker SPEAKER_08
transcript.pyannote[1824].start 11162.13471875
transcript.pyannote[1824].end 11163.90659375
transcript.pyannote[1825].speaker SPEAKER_08
transcript.pyannote[1825].start 11163.97409375
transcript.pyannote[1825].end 11166.53909375
transcript.pyannote[1826].speaker SPEAKER_00
transcript.pyannote[1826].start 11165.71221875
transcript.pyannote[1826].end 11171.43284375
transcript.pyannote[1827].speaker SPEAKER_08
transcript.pyannote[1827].start 11168.96909375
transcript.pyannote[1827].end 11169.96471875
transcript.pyannote[1828].speaker SPEAKER_08
transcript.pyannote[1828].start 11171.14596875
transcript.pyannote[1828].end 11173.57596875
transcript.pyannote[1829].speaker SPEAKER_00
transcript.pyannote[1829].start 11173.91346875
transcript.pyannote[1829].end 11181.00096875
transcript.pyannote[1830].speaker SPEAKER_08
transcript.pyannote[1830].start 11174.55471875
transcript.pyannote[1830].end 11175.92159375
transcript.pyannote[1831].speaker SPEAKER_08
transcript.pyannote[1831].start 11176.91721875
transcript.pyannote[1831].end 11177.10284375
transcript.pyannote[1832].speaker SPEAKER_08
transcript.pyannote[1832].start 11180.74784375
transcript.pyannote[1832].end 11187.46409375
transcript.pyannote[1833].speaker SPEAKER_00
transcript.pyannote[1833].start 11185.06784375
transcript.pyannote[1833].end 11188.71284375
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 11188.27409375
transcript.pyannote[1834].end 11188.56096875
transcript.pyannote[1835].speaker SPEAKER_00
transcript.pyannote[1835].start 11188.86471875
transcript.pyannote[1835].end 11193.26909375
transcript.pyannote[1836].speaker SPEAKER_08
transcript.pyannote[1836].start 11190.16409375
transcript.pyannote[1836].end 11190.77159375
transcript.pyannote[1837].speaker SPEAKER_03
transcript.pyannote[1837].start 11190.77159375
transcript.pyannote[1837].end 11190.78846875
transcript.pyannote[1838].speaker SPEAKER_00
transcript.pyannote[1838].start 11196.30659375
transcript.pyannote[1838].end 11197.35284375
transcript.pyannote[1839].speaker SPEAKER_32
transcript.pyannote[1839].start 11199.09096875
transcript.pyannote[1839].end 11199.81659375
transcript.pyannote[1840].speaker SPEAKER_00
transcript.pyannote[1840].start 11201.70659375
transcript.pyannote[1840].end 11203.91721875
transcript.pyannote[1841].speaker SPEAKER_19
transcript.pyannote[1841].start 11204.59221875
transcript.pyannote[1841].end 11206.85346875
transcript.pyannote[1842].speaker SPEAKER_00
transcript.pyannote[1842].start 11205.97596875
transcript.pyannote[1842].end 11208.55784375
transcript.pyannote[1843].speaker SPEAKER_00
transcript.pyannote[1843].start 11209.55346875
transcript.pyannote[1843].end 11214.04221875
transcript.pyannote[1844].speaker SPEAKER_00
transcript.pyannote[1844].start 11216.32034375
transcript.pyannote[1844].end 11216.94471875
transcript.pyannote[1845].speaker SPEAKER_00
transcript.pyannote[1845].start 11218.80096875
transcript.pyannote[1845].end 11224.20096875
transcript.pyannote[1846].speaker SPEAKER_00
transcript.pyannote[1846].start 11225.17971875
transcript.pyannote[1846].end 11228.47034375
transcript.pyannote[1847].speaker SPEAKER_00
transcript.pyannote[1847].start 11228.87534375
transcript.pyannote[1847].end 11229.73596875
transcript.pyannote[1848].speaker SPEAKER_00
transcript.pyannote[1848].start 11230.09034375
transcript.pyannote[1848].end 11232.35159375
transcript.pyannote[1849].speaker SPEAKER_19
transcript.pyannote[1849].start 11232.35159375
transcript.pyannote[1849].end 11239.35471875
transcript.pyannote[1850].speaker SPEAKER_00
transcript.pyannote[1850].start 11232.36846875
transcript.pyannote[1850].end 11233.63409375
transcript.pyannote[1851].speaker SPEAKER_00
transcript.pyannote[1851].start 11236.68846875
transcript.pyannote[1851].end 11237.36346875
transcript.pyannote[1852].speaker SPEAKER_00
transcript.pyannote[1852].start 11238.19034375
transcript.pyannote[1852].end 11239.82721875
transcript.pyannote[1853].speaker SPEAKER_00
transcript.pyannote[1853].start 11240.78909375
transcript.pyannote[1853].end 11243.13471875
transcript.pyannote[1854].speaker SPEAKER_19
transcript.pyannote[1854].start 11242.37534375
transcript.pyannote[1854].end 11243.11784375
transcript.pyannote[1855].speaker SPEAKER_19
transcript.pyannote[1855].start 11243.13471875
transcript.pyannote[1855].end 11243.15159375
transcript.pyannote[1856].speaker SPEAKER_19
transcript.pyannote[1856].start 11244.06284375
transcript.pyannote[1856].end 11244.97409375
transcript.pyannote[1857].speaker SPEAKER_27
transcript.pyannote[1857].start 11244.97409375
transcript.pyannote[1857].end 11245.04159375
transcript.pyannote[1858].speaker SPEAKER_19
transcript.pyannote[1858].start 11245.04159375
transcript.pyannote[1858].end 11245.59846875
transcript.pyannote[1859].speaker SPEAKER_00
transcript.pyannote[1859].start 11245.59846875
transcript.pyannote[1859].end 11248.19721875
transcript.pyannote[1860].speaker SPEAKER_27
transcript.pyannote[1860].start 11247.89346875
transcript.pyannote[1860].end 11254.72784375
transcript.pyannote[1861].speaker SPEAKER_27
transcript.pyannote[1861].start 11255.03159375
transcript.pyannote[1861].end 11267.40096875
transcript.pyannote[1862].speaker SPEAKER_27
transcript.pyannote[1862].start 11267.65409375
transcript.pyannote[1862].end 11270.37096875
transcript.pyannote[1863].speaker SPEAKER_27
transcript.pyannote[1863].start 11270.64096875
transcript.pyannote[1863].end 11272.44659375
transcript.pyannote[1864].speaker SPEAKER_27
transcript.pyannote[1864].start 11272.80096875
transcript.pyannote[1864].end 11275.24784375
transcript.pyannote[1865].speaker SPEAKER_27
transcript.pyannote[1865].start 11275.61909375
transcript.pyannote[1865].end 11285.17034375
transcript.pyannote[1866].speaker SPEAKER_00
transcript.pyannote[1866].start 11285.87909375
transcript.pyannote[1866].end 11287.68471875
transcript.pyannote[1867].speaker SPEAKER_00
transcript.pyannote[1867].start 11288.46096875
transcript.pyannote[1867].end 11289.52409375
transcript.pyannote[1868].speaker SPEAKER_27
transcript.pyannote[1868].start 11290.55346875
transcript.pyannote[1868].end 11291.97096875
transcript.pyannote[1869].speaker SPEAKER_00
transcript.pyannote[1869].start 11290.77284375
transcript.pyannote[1869].end 11291.05971875
transcript.pyannote[1870].speaker SPEAKER_00
transcript.pyannote[1870].start 11291.97096875
transcript.pyannote[1870].end 11293.37159375
transcript.pyannote[1871].speaker SPEAKER_27
transcript.pyannote[1871].start 11292.71346875
transcript.pyannote[1871].end 11293.06784375
transcript.pyannote[1872].speaker SPEAKER_27
transcript.pyannote[1872].start 11293.70909375
transcript.pyannote[1872].end 11294.11409375
transcript.pyannote[1873].speaker SPEAKER_00
transcript.pyannote[1873].start 11294.33346875
transcript.pyannote[1873].end 11295.43034375
transcript.pyannote[1874].speaker SPEAKER_27
transcript.pyannote[1874].start 11295.59909375
transcript.pyannote[1874].end 11295.88596875
transcript.pyannote[1875].speaker SPEAKER_00
transcript.pyannote[1875].start 11296.54409375
transcript.pyannote[1875].end 11299.02471875
transcript.pyannote[1876].speaker SPEAKER_00
transcript.pyannote[1876].start 11301.57284375
transcript.pyannote[1876].end 11302.45034375
transcript.pyannote[1877].speaker SPEAKER_00
transcript.pyannote[1877].start 11302.82159375
transcript.pyannote[1877].end 11303.81721875
transcript.pyannote[1878].speaker SPEAKER_00
transcript.pyannote[1878].start 11305.03221875
transcript.pyannote[1878].end 11308.23846875
transcript.pyannote[1879].speaker SPEAKER_00
transcript.pyannote[1879].start 11308.84596875
transcript.pyannote[1879].end 11313.33471875
transcript.pyannote[1880].speaker SPEAKER_00
transcript.pyannote[1880].start 11314.24596875
transcript.pyannote[1880].end 11317.90784375
transcript.pyannote[1881].speaker SPEAKER_00
transcript.pyannote[1881].start 11317.97534375
transcript.pyannote[1881].end 11320.57409375
transcript.pyannote[1882].speaker SPEAKER_00
transcript.pyannote[1882].start 11320.96221875
transcript.pyannote[1882].end 11324.89409375
transcript.pyannote[1883].speaker SPEAKER_00
transcript.pyannote[1883].start 11325.38346875
transcript.pyannote[1883].end 11328.03284375
transcript.pyannote[1884].speaker SPEAKER_00
transcript.pyannote[1884].start 11328.48846875
transcript.pyannote[1884].end 11330.46284375
transcript.pyannote[1885].speaker SPEAKER_00
transcript.pyannote[1885].start 11332.26846875
transcript.pyannote[1885].end 11335.81221875
transcript.pyannote[1886].speaker SPEAKER_00
transcript.pyannote[1886].start 11336.72346875
transcript.pyannote[1886].end 11340.09846875
transcript.pyannote[1887].speaker SPEAKER_00
transcript.pyannote[1887].start 11340.58784375
transcript.pyannote[1887].end 11342.03909375
transcript.pyannote[1888].speaker SPEAKER_00
transcript.pyannote[1888].start 11342.91659375
transcript.pyannote[1888].end 11345.49846875
transcript.pyannote[1889].speaker SPEAKER_00
transcript.pyannote[1889].start 11346.12284375
transcript.pyannote[1889].end 11351.33721875
transcript.pyannote[1890].speaker SPEAKER_00
transcript.pyannote[1890].start 11351.91096875
transcript.pyannote[1890].end 11354.93159375
transcript.pyannote[1891].speaker SPEAKER_00
transcript.pyannote[1891].start 11355.64034375
transcript.pyannote[1891].end 11358.01971875
transcript.pyannote[1892].speaker SPEAKER_00
transcript.pyannote[1892].start 11358.61034375
transcript.pyannote[1892].end 11360.83784375
transcript.pyannote[1893].speaker SPEAKER_00
transcript.pyannote[1893].start 11361.10784375
transcript.pyannote[1893].end 11364.63471875
transcript.pyannote[1894].speaker SPEAKER_00
transcript.pyannote[1894].start 11365.00596875
transcript.pyannote[1894].end 11367.52034375
transcript.pyannote[1895].speaker SPEAKER_00
transcript.pyannote[1895].start 11368.02659375
transcript.pyannote[1895].end 11370.20346875
transcript.pyannote[1896].speaker SPEAKER_00
transcript.pyannote[1896].start 11370.81096875
transcript.pyannote[1896].end 11373.91596875
transcript.pyannote[1897].speaker SPEAKER_00
transcript.pyannote[1897].start 11374.55721875
transcript.pyannote[1897].end 11376.02534375
transcript.pyannote[1898].speaker SPEAKER_00
transcript.pyannote[1898].start 11376.54846875
transcript.pyannote[1898].end 11378.64096875
transcript.pyannote[1899].speaker SPEAKER_19
transcript.pyannote[1899].start 11379.55221875
transcript.pyannote[1899].end 11393.91284375
transcript.pyannote[1900].speaker SPEAKER_00
transcript.pyannote[1900].start 11393.32221875
transcript.pyannote[1900].end 11397.23721875
transcript.pyannote[1901].speaker SPEAKER_19
transcript.pyannote[1901].start 11397.23721875
transcript.pyannote[1901].end 11398.40159375
transcript.pyannote[1902].speaker SPEAKER_00
transcript.pyannote[1902].start 11397.47346875
transcript.pyannote[1902].end 11400.34221875
transcript.pyannote[1903].speaker SPEAKER_19
transcript.pyannote[1903].start 11398.77284375
transcript.pyannote[1903].end 11398.82346875
transcript.pyannote[1904].speaker SPEAKER_00
transcript.pyannote[1904].start 11400.64596875
transcript.pyannote[1904].end 11403.97034375
transcript.pyannote[1905].speaker SPEAKER_00
transcript.pyannote[1905].start 11404.27409375
transcript.pyannote[1905].end 11406.88971875
transcript.pyannote[1906].speaker SPEAKER_00
transcript.pyannote[1906].start 11407.42971875
transcript.pyannote[1906].end 11409.57284375
transcript.pyannote[1907].speaker SPEAKER_00
transcript.pyannote[1907].start 11410.28159375
transcript.pyannote[1907].end 11413.01534375
transcript.pyannote[1908].speaker SPEAKER_00
transcript.pyannote[1908].start 11413.67346875
transcript.pyannote[1908].end 11415.91784375
transcript.pyannote[1909].speaker SPEAKER_00
transcript.pyannote[1909].start 11415.96846875
transcript.pyannote[1909].end 11416.01909375
transcript.pyannote[1910].speaker SPEAKER_00
transcript.pyannote[1910].start 11416.79534375
transcript.pyannote[1910].end 11418.90471875
transcript.pyannote[1911].speaker SPEAKER_00
transcript.pyannote[1911].start 11419.61346875
transcript.pyannote[1911].end 11420.98034375
transcript.pyannote[1912].speaker SPEAKER_19
transcript.pyannote[1912].start 11422.92096875
transcript.pyannote[1912].end 11425.73909375
transcript.pyannote[1913].speaker SPEAKER_00
transcript.pyannote[1913].start 11424.37221875
transcript.pyannote[1913].end 11425.50284375
transcript.pyannote[1914].speaker SPEAKER_00
transcript.pyannote[1914].start 11425.67159375
transcript.pyannote[1914].end 11426.27909375
transcript.pyannote[1915].speaker SPEAKER_19
transcript.pyannote[1915].start 11426.61659375
transcript.pyannote[1915].end 11429.06346875
transcript.pyannote[1916].speaker SPEAKER_00
transcript.pyannote[1916].start 11429.29971875
transcript.pyannote[1916].end 11430.34596875
transcript.pyannote[1917].speaker SPEAKER_00
transcript.pyannote[1917].start 11430.78471875
transcript.pyannote[1917].end 11434.76721875
transcript.pyannote[1918].speaker SPEAKER_00
transcript.pyannote[1918].start 11435.99909375
transcript.pyannote[1918].end 11438.42909375
transcript.pyannote[1919].speaker SPEAKER_19
transcript.pyannote[1919].start 11438.93534375
transcript.pyannote[1919].end 11439.79596875
transcript.pyannote[1920].speaker SPEAKER_00
transcript.pyannote[1920].start 11439.72846875
transcript.pyannote[1920].end 11440.50471875
transcript.pyannote[1921].speaker SPEAKER_19
transcript.pyannote[1921].start 11440.50471875
transcript.pyannote[1921].end 11441.34846875
transcript.pyannote[1922].speaker SPEAKER_00
transcript.pyannote[1922].start 11441.78721875
transcript.pyannote[1922].end 11442.32721875
transcript.pyannote[1923].speaker SPEAKER_19
transcript.pyannote[1923].start 11442.27659375
transcript.pyannote[1923].end 11442.29346875
transcript.pyannote[1924].speaker SPEAKER_19
transcript.pyannote[1924].start 11442.31034375
transcript.pyannote[1924].end 11444.87534375
transcript.pyannote[1925].speaker SPEAKER_00
transcript.pyannote[1925].start 11444.26784375
transcript.pyannote[1925].end 11449.14471875
transcript.pyannote[1926].speaker SPEAKER_00
transcript.pyannote[1926].start 11449.71846875
transcript.pyannote[1926].end 11450.56221875
transcript.pyannote[1927].speaker SPEAKER_19
transcript.pyannote[1927].start 11450.02221875
transcript.pyannote[1927].end 11451.60846875
transcript.pyannote[1928].speaker SPEAKER_00
transcript.pyannote[1928].start 11451.74346875
transcript.pyannote[1928].end 11453.24534375
transcript.pyannote[1929].speaker SPEAKER_19
transcript.pyannote[1929].start 11452.97534375
transcript.pyannote[1929].end 11453.32971875
transcript.pyannote[1930].speaker SPEAKER_00
transcript.pyannote[1930].start 11453.76846875
transcript.pyannote[1930].end 11454.47721875
transcript.pyannote[1931].speaker SPEAKER_19
transcript.pyannote[1931].start 11454.47721875
transcript.pyannote[1931].end 11455.20284375
transcript.pyannote[1932].speaker SPEAKER_19
transcript.pyannote[1932].start 11455.75971875
transcript.pyannote[1932].end 11456.60346875
transcript.pyannote[1933].speaker SPEAKER_00
transcript.pyannote[1933].start 11456.89034375
transcript.pyannote[1933].end 11458.02096875
transcript.pyannote[1934].speaker SPEAKER_19
transcript.pyannote[1934].start 11457.27846875
transcript.pyannote[1934].end 11458.66221875
transcript.pyannote[1935].speaker SPEAKER_00
transcript.pyannote[1935].start 11458.84784375
transcript.pyannote[1935].end 11461.91909375
transcript.pyannote[1936].speaker SPEAKER_00
transcript.pyannote[1936].start 11462.32409375
transcript.pyannote[1936].end 11467.63971875
transcript.pyannote[1937].speaker SPEAKER_19
transcript.pyannote[1937].start 11465.53034375
transcript.pyannote[1937].end 11466.89721875
transcript.pyannote[1938].speaker SPEAKER_19
transcript.pyannote[1938].start 11467.30221875
transcript.pyannote[1938].end 11467.52159375
transcript.pyannote[1939].speaker SPEAKER_19
transcript.pyannote[1939].start 11467.84221875
transcript.pyannote[1939].end 11468.77034375
transcript.pyannote[1940].speaker SPEAKER_19
transcript.pyannote[1940].start 11469.12471875
transcript.pyannote[1940].end 11473.66409375
transcript.pyannote[1941].speaker SPEAKER_19
transcript.pyannote[1941].start 11474.03534375
transcript.pyannote[1941].end 11481.61221875
transcript.pyannote[1942].speaker SPEAKER_00
transcript.pyannote[1942].start 11481.51096875
transcript.pyannote[1942].end 11482.55721875
transcript.pyannote[1943].speaker SPEAKER_00
transcript.pyannote[1943].start 11482.87784375
transcript.pyannote[1943].end 11484.24471875
transcript.pyannote[1944].speaker SPEAKER_00
transcript.pyannote[1944].start 11484.97034375
transcript.pyannote[1944].end 11488.71659375
transcript.pyannote[1945].speaker SPEAKER_00
transcript.pyannote[1945].start 11489.12159375
transcript.pyannote[1945].end 11491.24784375
transcript.pyannote[1946].speaker SPEAKER_00
transcript.pyannote[1946].start 11491.77096875
transcript.pyannote[1946].end 11496.96846875
transcript.pyannote[1947].speaker SPEAKER_19
transcript.pyannote[1947].start 11494.16721875
transcript.pyannote[1947].end 11495.07846875
transcript.pyannote[1948].speaker SPEAKER_19
transcript.pyannote[1948].start 11496.96846875
transcript.pyannote[1948].end 11496.98534375
transcript.pyannote[1949].speaker SPEAKER_00
transcript.pyannote[1949].start 11496.98534375
transcript.pyannote[1949].end 11497.03596875
transcript.pyannote[1950].speaker SPEAKER_19
transcript.pyannote[1950].start 11497.03596875
transcript.pyannote[1950].end 11497.12034375
transcript.pyannote[1951].speaker SPEAKER_00
transcript.pyannote[1951].start 11497.12034375
transcript.pyannote[1951].end 11501.44034375
transcript.pyannote[1952].speaker SPEAKER_19
transcript.pyannote[1952].start 11500.51221875
transcript.pyannote[1952].end 11501.28846875
transcript.pyannote[1953].speaker SPEAKER_19
transcript.pyannote[1953].start 11501.44034375
transcript.pyannote[1953].end 11501.47409375
transcript.pyannote[1954].speaker SPEAKER_19
transcript.pyannote[1954].start 11501.67659375
transcript.pyannote[1954].end 11503.26284375
transcript.pyannote[1955].speaker SPEAKER_00
transcript.pyannote[1955].start 11502.80721875
transcript.pyannote[1955].end 11504.15721875
transcript.pyannote[1956].speaker SPEAKER_19
transcript.pyannote[1956].start 11503.63409375
transcript.pyannote[1956].end 11504.29221875
transcript.pyannote[1957].speaker SPEAKER_00
transcript.pyannote[1957].start 11504.73096875
transcript.pyannote[1957].end 11505.22034375
transcript.pyannote[1958].speaker SPEAKER_00
transcript.pyannote[1958].start 11505.89534375
transcript.pyannote[1958].end 11509.72596875
transcript.pyannote[1959].speaker SPEAKER_00
transcript.pyannote[1959].start 11510.29971875
transcript.pyannote[1959].end 11512.17284375
transcript.pyannote[1960].speaker SPEAKER_00
transcript.pyannote[1960].start 11513.16846875
transcript.pyannote[1960].end 11514.60284375
transcript.pyannote[1961].speaker SPEAKER_00
transcript.pyannote[1961].start 11516.23971875
transcript.pyannote[1961].end 11517.82596875
transcript.pyannote[1962].speaker SPEAKER_00
transcript.pyannote[1962].start 11519.02409375
transcript.pyannote[1962].end 11520.08721875
transcript.pyannote[1963].speaker SPEAKER_00
transcript.pyannote[1963].start 11520.40784375
transcript.pyannote[1963].end 11521.94346875
transcript.pyannote[1964].speaker SPEAKER_00
transcript.pyannote[1964].start 11522.39909375
transcript.pyannote[1964].end 11524.00221875
transcript.pyannote[1965].speaker SPEAKER_00
transcript.pyannote[1965].start 11524.42409375
transcript.pyannote[1965].end 11525.77409375
transcript.pyannote[1966].speaker SPEAKER_00
transcript.pyannote[1966].start 11527.41096875
transcript.pyannote[1966].end 11528.82846875
transcript.pyannote[1967].speaker SPEAKER_31
transcript.pyannote[1967].start 11529.41909375
transcript.pyannote[1967].end 11531.14034375
transcript.pyannote[1968].speaker SPEAKER_32
transcript.pyannote[1968].start 11530.44846875
transcript.pyannote[1968].end 11531.07284375
transcript.pyannote[1969].speaker SPEAKER_32
transcript.pyannote[1969].start 11531.14034375
transcript.pyannote[1969].end 11532.03471875
transcript.pyannote[1970].speaker SPEAKER_31
transcript.pyannote[1970].start 11532.03471875
transcript.pyannote[1970].end 11534.80221875
transcript.pyannote[1971].speaker SPEAKER_31
transcript.pyannote[1971].start 11536.86096875
transcript.pyannote[1971].end 11538.59909375
transcript.pyannote[1972].speaker SPEAKER_14
transcript.pyannote[1972].start 11547.93096875
transcript.pyannote[1972].end 11553.93846875
transcript.pyannote[1973].speaker SPEAKER_32
transcript.pyannote[1973].start 11554.02284375
transcript.pyannote[1973].end 11555.10284375
transcript.pyannote[1974].speaker SPEAKER_14
transcript.pyannote[1974].start 11554.20846875
transcript.pyannote[1974].end 11554.34346875
transcript.pyannote[1975].speaker SPEAKER_14
transcript.pyannote[1975].start 11571.28596875
transcript.pyannote[1975].end 11572.06221875
transcript.pyannote[1976].speaker SPEAKER_14
transcript.pyannote[1976].start 11572.12971875
transcript.pyannote[1976].end 11606.14971875
transcript.pyannote[1977].speaker SPEAKER_14
transcript.pyannote[1977].start 11606.40284375
transcript.pyannote[1977].end 11606.65596875
transcript.pyannote[1978].speaker SPEAKER_14
transcript.pyannote[1978].start 11606.92596875
transcript.pyannote[1978].end 11610.92534375
transcript.pyannote[1979].speaker SPEAKER_14
transcript.pyannote[1979].start 11610.94221875
transcript.pyannote[1979].end 11612.54534375
transcript.pyannote[1980].speaker SPEAKER_14
transcript.pyannote[1980].start 11613.11909375
transcript.pyannote[1980].end 11613.86159375
transcript.pyannote[1981].speaker SPEAKER_19
transcript.pyannote[1981].start 11614.82346875
transcript.pyannote[1981].end 11619.19409375
transcript.pyannote[1982].speaker SPEAKER_14
transcript.pyannote[1982].start 11618.02971875
transcript.pyannote[1982].end 11626.50096875
transcript.pyannote[1983].speaker SPEAKER_14
transcript.pyannote[1983].start 11626.70346875
transcript.pyannote[1983].end 11630.12909375
transcript.pyannote[1984].speaker SPEAKER_14
transcript.pyannote[1984].start 11633.33534375
transcript.pyannote[1984].end 11635.19159375
transcript.pyannote[1985].speaker SPEAKER_13
transcript.pyannote[1985].start 11635.19159375
transcript.pyannote[1985].end 11635.59659375
transcript.pyannote[1986].speaker SPEAKER_14
transcript.pyannote[1986].start 11635.20846875
transcript.pyannote[1986].end 11635.24221875
transcript.pyannote[1987].speaker SPEAKER_14
transcript.pyannote[1987].start 11635.59659375
transcript.pyannote[1987].end 11640.77721875
transcript.pyannote[1988].speaker SPEAKER_19
transcript.pyannote[1988].start 11642.54909375
transcript.pyannote[1988].end 11657.24721875
transcript.pyannote[1989].speaker SPEAKER_19
transcript.pyannote[1989].start 11657.51721875
transcript.pyannote[1989].end 11660.58846875
transcript.pyannote[1990].speaker SPEAKER_19
transcript.pyannote[1990].start 11660.62221875
transcript.pyannote[1990].end 11660.63909375
transcript.pyannote[1991].speaker SPEAKER_19
transcript.pyannote[1991].start 11660.67284375
transcript.pyannote[1991].end 11662.36034375
transcript.pyannote[1992].speaker SPEAKER_19
transcript.pyannote[1992].start 11662.83284375
transcript.pyannote[1992].end 11664.75659375
transcript.pyannote[1993].speaker SPEAKER_19
transcript.pyannote[1993].start 11665.06034375
transcript.pyannote[1993].end 11668.48596875
transcript.pyannote[1994].speaker SPEAKER_14
transcript.pyannote[1994].start 11667.64221875
transcript.pyannote[1994].end 11671.48971875
transcript.pyannote[1995].speaker SPEAKER_14
transcript.pyannote[1995].start 11673.14346875
transcript.pyannote[1995].end 11675.03346875
transcript.pyannote[1996].speaker SPEAKER_19
transcript.pyannote[1996].start 11677.69971875
transcript.pyannote[1996].end 11678.54346875
transcript.pyannote[1997].speaker SPEAKER_14
transcript.pyannote[1997].start 11679.06659375
transcript.pyannote[1997].end 11702.55659375
transcript.pyannote[1998].speaker SPEAKER_14
transcript.pyannote[1998].start 11702.75909375
transcript.pyannote[1998].end 11709.89721875
transcript.pyannote[1999].speaker SPEAKER_14
transcript.pyannote[1999].start 11710.06596875
transcript.pyannote[1999].end 11730.88971875
transcript.pyannote[2000].speaker SPEAKER_14
transcript.pyannote[2000].start 11731.27784375
transcript.pyannote[2000].end 11749.95846875
transcript.pyannote[2001].speaker SPEAKER_19
transcript.pyannote[2001].start 11750.09346875
transcript.pyannote[2001].end 11750.32971875
transcript.pyannote[2002].speaker SPEAKER_19
transcript.pyannote[2002].start 11750.83596875
transcript.pyannote[2002].end 11759.81346875
transcript.pyannote[2003].speaker SPEAKER_19
transcript.pyannote[2003].start 11760.15096875
transcript.pyannote[2003].end 11763.61034375
transcript.pyannote[2004].speaker SPEAKER_19
transcript.pyannote[2004].start 11763.96471875
transcript.pyannote[2004].end 11767.76159375
transcript.pyannote[2005].speaker SPEAKER_14
transcript.pyannote[2005].start 11767.62659375
transcript.pyannote[2005].end 11776.84034375
transcript.pyannote[2006].speaker SPEAKER_19
transcript.pyannote[2006].start 11778.02159375
transcript.pyannote[2006].end 11780.24909375
transcript.pyannote[2007].speaker SPEAKER_19
transcript.pyannote[2007].start 11780.70471875
transcript.pyannote[2007].end 11796.29721875
transcript.pyannote[2008].speaker SPEAKER_19
transcript.pyannote[2008].start 11796.68534375
transcript.pyannote[2008].end 11801.73096875
transcript.pyannote[2009].speaker SPEAKER_14
transcript.pyannote[2009].start 11798.86221875
transcript.pyannote[2009].end 11799.33471875
transcript.pyannote[2010].speaker SPEAKER_14
transcript.pyannote[2010].start 11801.22471875
transcript.pyannote[2010].end 11865.68721875
transcript.pyannote[2011].speaker SPEAKER_14
transcript.pyannote[2011].start 11866.71659375
transcript.pyannote[2011].end 11885.95409375
transcript.pyannote[2012].speaker SPEAKER_19
transcript.pyannote[2012].start 11887.35471875
transcript.pyannote[2012].end 11891.45534375
transcript.pyannote[2013].speaker SPEAKER_19
transcript.pyannote[2013].start 11891.64096875
transcript.pyannote[2013].end 11898.23909375
transcript.pyannote[2014].speaker SPEAKER_19
transcript.pyannote[2014].start 11898.47534375
transcript.pyannote[2014].end 11899.53846875
transcript.pyannote[2015].speaker SPEAKER_19
transcript.pyannote[2015].start 11899.62284375
transcript.pyannote[2015].end 11906.06909375
transcript.pyannote[2016].speaker SPEAKER_19
transcript.pyannote[2016].start 11906.37284375
transcript.pyannote[2016].end 11915.41784375
transcript.pyannote[2017].speaker SPEAKER_19
transcript.pyannote[2017].start 11915.72159375
transcript.pyannote[2017].end 11939.46471875
transcript.pyannote[2018].speaker SPEAKER_14
transcript.pyannote[2018].start 11939.26221875
transcript.pyannote[2018].end 11944.49346875
transcript.pyannote[2019].speaker SPEAKER_14
transcript.pyannote[2019].start 11945.15159375
transcript.pyannote[2019].end 11956.25534375
transcript.pyannote[2020].speaker SPEAKER_14
transcript.pyannote[2020].start 11956.52534375
transcript.pyannote[2020].end 11968.65846875
transcript.pyannote[2021].speaker SPEAKER_19
transcript.pyannote[2021].start 11968.89471875
transcript.pyannote[2021].end 11975.32409375
transcript.pyannote[2022].speaker SPEAKER_19
transcript.pyannote[2022].start 11975.45909375
transcript.pyannote[2022].end 11980.99409375
transcript.pyannote[2023].speaker SPEAKER_19
transcript.pyannote[2023].start 11981.43284375
transcript.pyannote[2023].end 11988.48659375
transcript.pyannote[2024].speaker SPEAKER_14
transcript.pyannote[2024].start 11986.74846875
transcript.pyannote[2024].end 11993.51534375
transcript.pyannote[2025].speaker SPEAKER_19
transcript.pyannote[2025].start 11989.98846875
transcript.pyannote[2025].end 11990.51159375
transcript.pyannote[2026].speaker SPEAKER_19
transcript.pyannote[2026].start 11991.65909375
transcript.pyannote[2026].end 12002.71221875
transcript.pyannote[2027].speaker SPEAKER_14
transcript.pyannote[2027].start 12002.02034375
transcript.pyannote[2027].end 12005.17596875
transcript.pyannote[2028].speaker SPEAKER_19
transcript.pyannote[2028].start 12004.68659375
transcript.pyannote[2028].end 12004.85534375
transcript.pyannote[2029].speaker SPEAKER_19
transcript.pyannote[2029].start 12005.17596875
transcript.pyannote[2029].end 12016.58346875
transcript.pyannote[2030].speaker SPEAKER_14
transcript.pyannote[2030].start 12005.24346875
transcript.pyannote[2030].end 12005.29409375
transcript.pyannote[2031].speaker SPEAKER_14
transcript.pyannote[2031].start 12016.58346875
transcript.pyannote[2031].end 12027.65346875
transcript.pyannote[2032].speaker SPEAKER_19
transcript.pyannote[2032].start 12018.70971875
transcript.pyannote[2032].end 12018.97971875
transcript.pyannote[2033].speaker SPEAKER_19
transcript.pyannote[2033].start 12020.46471875
transcript.pyannote[2033].end 12020.73471875
transcript.pyannote[2034].speaker SPEAKER_32
transcript.pyannote[2034].start 12020.73471875
transcript.pyannote[2034].end 12020.83596875
transcript.pyannote[2035].speaker SPEAKER_19
transcript.pyannote[2035].start 12026.32034375
transcript.pyannote[2035].end 12027.06284375
transcript.pyannote[2036].speaker SPEAKER_25
transcript.pyannote[2036].start 12027.06284375
transcript.pyannote[2036].end 12027.16409375
transcript.pyannote[2037].speaker SPEAKER_31
transcript.pyannote[2037].start 12027.16409375
transcript.pyannote[2037].end 12027.19784375
transcript.pyannote[2038].speaker SPEAKER_25
transcript.pyannote[2038].start 12027.19784375
transcript.pyannote[2038].end 12027.23159375
transcript.pyannote[2039].speaker SPEAKER_32
transcript.pyannote[2039].start 12027.23159375
transcript.pyannote[2039].end 12027.29909375
transcript.pyannote[2040].speaker SPEAKER_19
transcript.pyannote[2040].start 12027.29909375
transcript.pyannote[2040].end 12027.40034375
transcript.pyannote[2041].speaker SPEAKER_31
transcript.pyannote[2041].start 12027.40034375
transcript.pyannote[2041].end 12027.43409375
transcript.pyannote[2042].speaker SPEAKER_32
transcript.pyannote[2042].start 12027.43409375
transcript.pyannote[2042].end 12027.45096875
transcript.pyannote[2043].speaker SPEAKER_31
transcript.pyannote[2043].start 12027.45096875
transcript.pyannote[2043].end 12027.51846875
transcript.pyannote[2044].speaker SPEAKER_31
transcript.pyannote[2044].start 12029.00346875
transcript.pyannote[2044].end 12030.97784375
transcript.pyannote[2045].speaker SPEAKER_31
transcript.pyannote[2045].start 12031.85534375
transcript.pyannote[2045].end 12032.37846875
transcript.pyannote[2046].speaker SPEAKER_31
transcript.pyannote[2046].start 12033.61034375
transcript.pyannote[2046].end 12036.96846875
transcript.pyannote[2047].speaker SPEAKER_17
transcript.pyannote[2047].start 12044.78159375
transcript.pyannote[2047].end 12047.09346875
transcript.pyannote[2048].speaker SPEAKER_17
transcript.pyannote[2048].start 12047.36346875
transcript.pyannote[2048].end 12049.60784375
transcript.pyannote[2049].speaker SPEAKER_32
transcript.pyannote[2049].start 12049.60784375
transcript.pyannote[2049].end 12050.94096875
transcript.pyannote[2050].speaker SPEAKER_17
transcript.pyannote[2050].start 12054.51846875
transcript.pyannote[2050].end 12054.99096875
transcript.pyannote[2051].speaker SPEAKER_17
transcript.pyannote[2051].start 12055.41284375
transcript.pyannote[2051].end 12056.71221875
transcript.pyannote[2052].speaker SPEAKER_29
transcript.pyannote[2052].start 12055.96971875
transcript.pyannote[2052].end 12055.98659375
transcript.pyannote[2053].speaker SPEAKER_32
transcript.pyannote[2053].start 12055.98659375
transcript.pyannote[2053].end 12056.50971875
transcript.pyannote[2054].speaker SPEAKER_13
transcript.pyannote[2054].start 12056.50971875
transcript.pyannote[2054].end 12056.52659375
transcript.pyannote[2055].speaker SPEAKER_17
transcript.pyannote[2055].start 12056.94846875
transcript.pyannote[2055].end 12074.76846875
transcript.pyannote[2056].speaker SPEAKER_17
transcript.pyannote[2056].start 12075.02159375
transcript.pyannote[2056].end 12075.78096875
transcript.pyannote[2057].speaker SPEAKER_17
transcript.pyannote[2057].start 12075.94971875
transcript.pyannote[2057].end 12078.71721875
transcript.pyannote[2058].speaker SPEAKER_17
transcript.pyannote[2058].start 12079.08846875
transcript.pyannote[2058].end 12086.22659375
transcript.pyannote[2059].speaker SPEAKER_17
transcript.pyannote[2059].start 12086.53034375
transcript.pyannote[2059].end 12087.96471875
transcript.pyannote[2060].speaker SPEAKER_17
transcript.pyannote[2060].start 12088.23471875
transcript.pyannote[2060].end 12090.17534375
transcript.pyannote[2061].speaker SPEAKER_17
transcript.pyannote[2061].start 12090.46221875
transcript.pyannote[2061].end 12091.00221875
transcript.pyannote[2062].speaker SPEAKER_17
transcript.pyannote[2062].start 12091.28909375
transcript.pyannote[2062].end 12092.74034375
transcript.pyannote[2063].speaker SPEAKER_17
transcript.pyannote[2063].start 12093.21284375
transcript.pyannote[2063].end 12107.45534375
transcript.pyannote[2064].speaker SPEAKER_17
transcript.pyannote[2064].start 12107.79284375
transcript.pyannote[2064].end 12113.10846875
transcript.pyannote[2065].speaker SPEAKER_17
transcript.pyannote[2065].start 12113.80034375
transcript.pyannote[2065].end 12121.24221875
transcript.pyannote[2066].speaker SPEAKER_17
transcript.pyannote[2066].start 12121.46159375
transcript.pyannote[2066].end 12125.27534375
transcript.pyannote[2067].speaker SPEAKER_17
transcript.pyannote[2067].start 12125.56221875
transcript.pyannote[2067].end 12126.20346875
transcript.pyannote[2068].speaker SPEAKER_17
transcript.pyannote[2068].start 12126.42284375
transcript.pyannote[2068].end 12139.18034375
transcript.pyannote[2069].speaker SPEAKER_08
transcript.pyannote[2069].start 12138.55596875
transcript.pyannote[2069].end 12143.31471875
transcript.pyannote[2070].speaker SPEAKER_17
transcript.pyannote[2070].start 12139.43346875
transcript.pyannote[2070].end 12140.49659375
transcript.pyannote[2071].speaker SPEAKER_17
transcript.pyannote[2071].start 12142.03221875
transcript.pyannote[2071].end 12142.42034375
transcript.pyannote[2072].speaker SPEAKER_17
transcript.pyannote[2072].start 12143.31471875
transcript.pyannote[2072].end 12160.42596875
transcript.pyannote[2073].speaker SPEAKER_17
transcript.pyannote[2073].start 12160.88159375
transcript.pyannote[2073].end 12164.52659375
transcript.pyannote[2074].speaker SPEAKER_17
transcript.pyannote[2074].start 12164.81346875
transcript.pyannote[2074].end 12168.98159375
transcript.pyannote[2075].speaker SPEAKER_17
transcript.pyannote[2075].start 12169.06596875
transcript.pyannote[2075].end 12188.28659375
transcript.pyannote[2076].speaker SPEAKER_17
transcript.pyannote[2076].start 12188.69159375
transcript.pyannote[2076].end 12189.31596875
transcript.pyannote[2077].speaker SPEAKER_17
transcript.pyannote[2077].start 12189.45096875
transcript.pyannote[2077].end 12191.49284375
transcript.pyannote[2078].speaker SPEAKER_17
transcript.pyannote[2078].start 12191.54346875
transcript.pyannote[2078].end 12229.20846875
transcript.pyannote[2079].speaker SPEAKER_19
transcript.pyannote[2079].start 12230.91284375
transcript.pyannote[2079].end 12242.48909375
transcript.pyannote[2080].speaker SPEAKER_00
transcript.pyannote[2080].start 12239.46846875
transcript.pyannote[2080].end 12239.82284375
transcript.pyannote[2081].speaker SPEAKER_19
transcript.pyannote[2081].start 12242.89409375
transcript.pyannote[2081].end 12249.40784375
transcript.pyannote[2082].speaker SPEAKER_17
transcript.pyannote[2082].start 12248.86784375
transcript.pyannote[2082].end 12251.61846875
transcript.pyannote[2083].speaker SPEAKER_19
transcript.pyannote[2083].start 12251.77034375
transcript.pyannote[2083].end 12253.55909375
transcript.pyannote[2084].speaker SPEAKER_17
transcript.pyannote[2084].start 12253.98096875
transcript.pyannote[2084].end 12253.99784375
transcript.pyannote[2085].speaker SPEAKER_19
transcript.pyannote[2085].start 12253.99784375
transcript.pyannote[2085].end 12254.01471875
transcript.pyannote[2086].speaker SPEAKER_17
transcript.pyannote[2086].start 12254.01471875
transcript.pyannote[2086].end 12264.47721875
transcript.pyannote[2087].speaker SPEAKER_17
transcript.pyannote[2087].start 12264.94971875
transcript.pyannote[2087].end 12269.40471875
transcript.pyannote[2088].speaker SPEAKER_17
transcript.pyannote[2088].start 12269.47221875
transcript.pyannote[2088].end 12277.33596875
transcript.pyannote[2089].speaker SPEAKER_17
transcript.pyannote[2089].start 12277.48784375
transcript.pyannote[2089].end 12280.55909375
transcript.pyannote[2090].speaker SPEAKER_17
transcript.pyannote[2090].start 12280.89659375
transcript.pyannote[2090].end 12289.04721875
transcript.pyannote[2091].speaker SPEAKER_17
transcript.pyannote[2091].start 12289.28346875
transcript.pyannote[2091].end 12297.65346875
transcript.pyannote[2092].speaker SPEAKER_17
transcript.pyannote[2092].start 12298.22721875
transcript.pyannote[2092].end 12309.31409375
transcript.pyannote[2093].speaker SPEAKER_17
transcript.pyannote[2093].start 12309.65159375
transcript.pyannote[2093].end 12314.96721875
transcript.pyannote[2094].speaker SPEAKER_17
transcript.pyannote[2094].start 12315.28784375
transcript.pyannote[2094].end 12342.01784375
transcript.pyannote[2095].speaker SPEAKER_17
transcript.pyannote[2095].start 12342.35534375
transcript.pyannote[2095].end 12345.56159375
transcript.pyannote[2096].speaker SPEAKER_17
transcript.pyannote[2096].start 12345.89909375
transcript.pyannote[2096].end 12358.38659375
transcript.pyannote[2097].speaker SPEAKER_17
transcript.pyannote[2097].start 12358.99409375
transcript.pyannote[2097].end 12383.09159375
transcript.pyannote[2098].speaker SPEAKER_19
transcript.pyannote[2098].start 12380.49284375
transcript.pyannote[2098].end 12387.44534375
transcript.pyannote[2099].speaker SPEAKER_19
transcript.pyannote[2099].start 12387.81659375
transcript.pyannote[2099].end 12391.83284375
transcript.pyannote[2100].speaker SPEAKER_19
transcript.pyannote[2100].start 12392.06909375
transcript.pyannote[2100].end 12396.47346875
transcript.pyannote[2101].speaker SPEAKER_17
transcript.pyannote[2101].start 12396.72659375
transcript.pyannote[2101].end 12415.98096875
transcript.pyannote[2102].speaker SPEAKER_17
transcript.pyannote[2102].start 12416.13284375
transcript.pyannote[2102].end 12417.38159375
transcript.pyannote[2103].speaker SPEAKER_17
transcript.pyannote[2103].start 12417.82034375
transcript.pyannote[2103].end 12423.99659375
transcript.pyannote[2104].speaker SPEAKER_17
transcript.pyannote[2104].start 12424.82346875
transcript.pyannote[2104].end 12426.15659375
transcript.pyannote[2105].speaker SPEAKER_17
transcript.pyannote[2105].start 12426.39284375
transcript.pyannote[2105].end 12429.53159375
transcript.pyannote[2106].speaker SPEAKER_10
transcript.pyannote[2106].start 12427.11846875
transcript.pyannote[2106].end 12427.21971875
transcript.pyannote[2107].speaker SPEAKER_33
transcript.pyannote[2107].start 12427.21971875
transcript.pyannote[2107].end 12427.23659375
transcript.pyannote[2108].speaker SPEAKER_31
transcript.pyannote[2108].start 12427.23659375
transcript.pyannote[2108].end 12428.11409375
transcript.pyannote[2109].speaker SPEAKER_31
transcript.pyannote[2109].start 12430.52721875
transcript.pyannote[2109].end 12431.26971875
transcript.pyannote[2110].speaker SPEAKER_31
transcript.pyannote[2110].start 12434.64471875
transcript.pyannote[2110].end 12437.26034375
transcript.pyannote[2111].speaker SPEAKER_03
transcript.pyannote[2111].start 12450.54096875
transcript.pyannote[2111].end 12457.13909375
transcript.pyannote[2112].speaker SPEAKER_03
transcript.pyannote[2112].start 12460.71659375
transcript.pyannote[2112].end 12462.67409375
transcript.pyannote[2113].speaker SPEAKER_08
transcript.pyannote[2113].start 12461.69534375
transcript.pyannote[2113].end 12462.55596875
transcript.pyannote[2114].speaker SPEAKER_08
transcript.pyannote[2114].start 12462.67409375
transcript.pyannote[2114].end 12463.41659375
transcript.pyannote[2115].speaker SPEAKER_03
transcript.pyannote[2115].start 12463.65284375
transcript.pyannote[2115].end 12463.85534375
transcript.pyannote[2116].speaker SPEAKER_03
transcript.pyannote[2116].start 12464.02409375
transcript.pyannote[2116].end 12464.69909375
transcript.pyannote[2117].speaker SPEAKER_03
transcript.pyannote[2117].start 12464.80034375
transcript.pyannote[2117].end 12468.20909375
transcript.pyannote[2118].speaker SPEAKER_03
transcript.pyannote[2118].start 12468.95159375
transcript.pyannote[2118].end 12470.53784375
transcript.pyannote[2119].speaker SPEAKER_03
transcript.pyannote[2119].start 12470.92596875
transcript.pyannote[2119].end 12531.74346875
transcript.pyannote[2120].speaker SPEAKER_03
transcript.pyannote[2120].start 12532.14846875
transcript.pyannote[2120].end 12536.78909375
transcript.pyannote[2121].speaker SPEAKER_19
transcript.pyannote[2121].start 12540.14721875
transcript.pyannote[2121].end 12544.07909375
transcript.pyannote[2122].speaker SPEAKER_27
transcript.pyannote[2122].start 12546.71159375
transcript.pyannote[2122].end 12547.03221875
transcript.pyannote[2123].speaker SPEAKER_27
transcript.pyannote[2123].start 12549.66471875
transcript.pyannote[2123].end 12558.55784375
transcript.pyannote[2124].speaker SPEAKER_27
transcript.pyannote[2124].start 12558.87846875
transcript.pyannote[2124].end 12563.70471875
transcript.pyannote[2125].speaker SPEAKER_27
transcript.pyannote[2125].start 12563.95784375
transcript.pyannote[2125].end 12566.62409375
transcript.pyannote[2126].speaker SPEAKER_27
transcript.pyannote[2126].start 12566.80971875
transcript.pyannote[2126].end 12571.34909375
transcript.pyannote[2127].speaker SPEAKER_03
transcript.pyannote[2127].start 12571.65284375
transcript.pyannote[2127].end 12576.24284375
transcript.pyannote[2128].speaker SPEAKER_13
transcript.pyannote[2128].start 12573.30659375
transcript.pyannote[2128].end 12573.93096875
transcript.pyannote[2129].speaker SPEAKER_27
transcript.pyannote[2129].start 12573.93096875
transcript.pyannote[2129].end 12574.60596875
transcript.pyannote[2130].speaker SPEAKER_13
transcript.pyannote[2130].start 12574.60596875
transcript.pyannote[2130].end 12574.62284375
transcript.pyannote[2131].speaker SPEAKER_27
transcript.pyannote[2131].start 12574.62284375
transcript.pyannote[2131].end 12574.63971875
transcript.pyannote[2132].speaker SPEAKER_27
transcript.pyannote[2132].start 12575.01096875
transcript.pyannote[2132].end 12576.02346875
transcript.pyannote[2133].speaker SPEAKER_13
transcript.pyannote[2133].start 12576.02346875
transcript.pyannote[2133].end 12576.29346875
transcript.pyannote[2134].speaker SPEAKER_03
transcript.pyannote[2134].start 12576.29346875
transcript.pyannote[2134].end 12576.32721875
transcript.pyannote[2135].speaker SPEAKER_13
transcript.pyannote[2135].start 12576.32721875
transcript.pyannote[2135].end 12576.34409375
transcript.pyannote[2136].speaker SPEAKER_03
transcript.pyannote[2136].start 12576.34409375
transcript.pyannote[2136].end 12576.86721875
transcript.pyannote[2137].speaker SPEAKER_13
transcript.pyannote[2137].start 12576.44534375
transcript.pyannote[2137].end 12576.51284375
transcript.pyannote[2138].speaker SPEAKER_27
transcript.pyannote[2138].start 12576.51284375
transcript.pyannote[2138].end 12576.66471875
transcript.pyannote[2139].speaker SPEAKER_13
transcript.pyannote[2139].start 12576.66471875
transcript.pyannote[2139].end 12576.76596875
transcript.pyannote[2140].speaker SPEAKER_03
transcript.pyannote[2140].start 12577.20471875
transcript.pyannote[2140].end 12577.54221875
transcript.pyannote[2141].speaker SPEAKER_03
transcript.pyannote[2141].start 12578.08221875
transcript.pyannote[2141].end 12601.82534375
transcript.pyannote[2142].speaker SPEAKER_03
transcript.pyannote[2142].start 12602.34846875
transcript.pyannote[2142].end 12604.12034375
transcript.pyannote[2143].speaker SPEAKER_19
transcript.pyannote[2143].start 12605.82471875
transcript.pyannote[2143].end 12607.02284375
transcript.pyannote[2144].speaker SPEAKER_03
transcript.pyannote[2144].start 12607.29284375
transcript.pyannote[2144].end 12609.60471875
transcript.pyannote[2145].speaker SPEAKER_03
transcript.pyannote[2145].start 12610.95471875
transcript.pyannote[2145].end 12619.39221875
transcript.pyannote[2146].speaker SPEAKER_03
transcript.pyannote[2146].start 12619.96596875
transcript.pyannote[2146].end 12637.24596875
transcript.pyannote[2147].speaker SPEAKER_03
transcript.pyannote[2147].start 12637.46534375
transcript.pyannote[2147].end 12645.29534375
transcript.pyannote[2148].speaker SPEAKER_03
transcript.pyannote[2148].start 12645.56534375
transcript.pyannote[2148].end 12646.02096875
transcript.pyannote[2149].speaker SPEAKER_08
transcript.pyannote[2149].start 12650.10471875
transcript.pyannote[2149].end 12674.13471875
transcript.pyannote[2150].speaker SPEAKER_03
transcript.pyannote[2150].start 12669.56159375
transcript.pyannote[2150].end 12669.91596875
transcript.pyannote[2151].speaker SPEAKER_08
transcript.pyannote[2151].start 12674.21909375
transcript.pyannote[2151].end 12674.26971875
transcript.pyannote[2152].speaker SPEAKER_03
transcript.pyannote[2152].start 12674.26971875
transcript.pyannote[2152].end 12674.32034375
transcript.pyannote[2153].speaker SPEAKER_08
transcript.pyannote[2153].start 12674.32034375
transcript.pyannote[2153].end 12674.55659375
transcript.pyannote[2154].speaker SPEAKER_03
transcript.pyannote[2154].start 12674.55659375
transcript.pyannote[2154].end 12674.57346875
transcript.pyannote[2155].speaker SPEAKER_08
transcript.pyannote[2155].start 12674.57346875
transcript.pyannote[2155].end 12675.01221875
transcript.pyannote[2156].speaker SPEAKER_03
transcript.pyannote[2156].start 12675.01221875
transcript.pyannote[2156].end 12676.29471875
transcript.pyannote[2157].speaker SPEAKER_19
transcript.pyannote[2157].start 12677.94846875
transcript.pyannote[2157].end 12679.02846875
transcript.pyannote[2158].speaker SPEAKER_19
transcript.pyannote[2158].start 12680.39534375
transcript.pyannote[2158].end 12680.74971875
transcript.pyannote[2159].speaker SPEAKER_19
transcript.pyannote[2159].start 12681.20534375
transcript.pyannote[2159].end 12681.79596875
transcript.pyannote[2160].speaker SPEAKER_19
transcript.pyannote[2160].start 12682.96034375
transcript.pyannote[2160].end 12694.14846875
transcript.pyannote[2161].speaker SPEAKER_02
transcript.pyannote[2161].start 12694.14846875
transcript.pyannote[2161].end 12697.05096875
transcript.pyannote[2162].speaker SPEAKER_19
transcript.pyannote[2162].start 12695.26221875
transcript.pyannote[2162].end 12696.03846875
transcript.pyannote[2163].speaker SPEAKER_19
transcript.pyannote[2163].start 12696.67971875
transcript.pyannote[2163].end 12703.07534375
transcript.pyannote[2164].speaker SPEAKER_02
transcript.pyannote[2164].start 12703.21034375
transcript.pyannote[2164].end 12703.73346875
transcript.pyannote[2165].speaker SPEAKER_03
transcript.pyannote[2165].start 12703.73346875
transcript.pyannote[2165].end 12703.78409375
transcript.pyannote[2166].speaker SPEAKER_19
transcript.pyannote[2166].start 12703.76721875
transcript.pyannote[2166].end 12705.21846875
transcript.pyannote[2167].speaker SPEAKER_03
transcript.pyannote[2167].start 12703.80096875
transcript.pyannote[2167].end 12703.81784375
transcript.pyannote[2168].speaker SPEAKER_03
transcript.pyannote[2168].start 12705.58971875
transcript.pyannote[2168].end 12706.51784375
transcript.pyannote[2169].speaker SPEAKER_03
transcript.pyannote[2169].start 12706.83846875
transcript.pyannote[2169].end 12708.94784375
transcript.pyannote[2170].speaker SPEAKER_03
transcript.pyannote[2170].start 12709.40346875
transcript.pyannote[2170].end 12731.23971875
transcript.pyannote[2171].speaker SPEAKER_03
transcript.pyannote[2171].start 12731.71221875
transcript.pyannote[2171].end 12739.18784375
transcript.pyannote[2172].speaker SPEAKER_19
transcript.pyannote[2172].start 12743.23784375
transcript.pyannote[2172].end 12748.89096875
transcript.pyannote[2173].speaker SPEAKER_03
transcript.pyannote[2173].start 12747.59159375
transcript.pyannote[2173].end 12748.84034375
transcript.pyannote[2174].speaker SPEAKER_19
transcript.pyannote[2174].start 12749.32971875
transcript.pyannote[2174].end 12759.11721875
transcript.pyannote[2175].speaker SPEAKER_03
transcript.pyannote[2175].start 12759.30284375
transcript.pyannote[2175].end 12764.77034375
transcript.pyannote[2176].speaker SPEAKER_19
transcript.pyannote[2176].start 12761.95221875
transcript.pyannote[2176].end 12762.86346875
transcript.pyannote[2177].speaker SPEAKER_19
transcript.pyannote[2177].start 12767.18346875
transcript.pyannote[2177].end 12769.34346875
transcript.pyannote[2178].speaker SPEAKER_03
transcript.pyannote[2178].start 12768.95534375
transcript.pyannote[2178].end 12775.48596875
transcript.pyannote[2179].speaker SPEAKER_19
transcript.pyannote[2179].start 12775.11471875
transcript.pyannote[2179].end 12775.73909375
transcript.pyannote[2180].speaker SPEAKER_03
transcript.pyannote[2180].start 12775.73909375
transcript.pyannote[2180].end 12775.82346875
transcript.pyannote[2181].speaker SPEAKER_03
transcript.pyannote[2181].start 12775.90784375
transcript.pyannote[2181].end 12777.03846875
transcript.pyannote[2182].speaker SPEAKER_19
transcript.pyannote[2182].start 12776.26221875
transcript.pyannote[2182].end 12776.27909375
transcript.pyannote[2183].speaker SPEAKER_03
transcript.pyannote[2183].start 12777.12284375
transcript.pyannote[2183].end 12777.13971875
transcript.pyannote[2184].speaker SPEAKER_03
transcript.pyannote[2184].start 12778.54034375
transcript.pyannote[2184].end 12779.01284375
transcript.pyannote[2185].speaker SPEAKER_03
transcript.pyannote[2185].start 12781.42596875
transcript.pyannote[2185].end 12781.44284375
transcript.pyannote[2186].speaker SPEAKER_31
transcript.pyannote[2186].start 12781.44284375
transcript.pyannote[2186].end 12783.90659375
transcript.pyannote[2187].speaker SPEAKER_31
transcript.pyannote[2187].start 12783.97409375
transcript.pyannote[2187].end 12784.02471875
transcript.pyannote[2188].speaker SPEAKER_31
transcript.pyannote[2188].start 12784.19346875
transcript.pyannote[2188].end 12786.89346875
transcript.pyannote[2189].speaker SPEAKER_06
transcript.pyannote[2189].start 12798.35159375
transcript.pyannote[2189].end 12800.66346875
transcript.pyannote[2190].speaker SPEAKER_32
transcript.pyannote[2190].start 12801.01784375
transcript.pyannote[2190].end 12802.50284375
transcript.pyannote[2191].speaker SPEAKER_06
transcript.pyannote[2191].start 12813.13409375
transcript.pyannote[2191].end 12830.26221875
transcript.pyannote[2192].speaker SPEAKER_06
transcript.pyannote[2192].start 12830.80221875
transcript.pyannote[2192].end 12901.45784375
transcript.pyannote[2193].speaker SPEAKER_06
transcript.pyannote[2193].start 12901.60971875
transcript.pyannote[2193].end 12906.03096875
transcript.pyannote[2194].speaker SPEAKER_06
transcript.pyannote[2194].start 12906.23346875
transcript.pyannote[2194].end 12908.12346875
transcript.pyannote[2195].speaker SPEAKER_19
transcript.pyannote[2195].start 12910.16534375
transcript.pyannote[2195].end 12913.03409375
transcript.pyannote[2196].speaker SPEAKER_19
transcript.pyannote[2196].start 12913.37159375
transcript.pyannote[2196].end 12918.94034375
transcript.pyannote[2197].speaker SPEAKER_19
transcript.pyannote[2197].start 12919.51409375
transcript.pyannote[2197].end 12924.12096875
transcript.pyannote[2198].speaker SPEAKER_19
transcript.pyannote[2198].start 12924.61034375
transcript.pyannote[2198].end 12927.95159375
transcript.pyannote[2199].speaker SPEAKER_19
transcript.pyannote[2199].start 12928.06971875
transcript.pyannote[2199].end 12939.08909375
transcript.pyannote[2200].speaker SPEAKER_19
transcript.pyannote[2200].start 12939.57846875
transcript.pyannote[2200].end 12944.64096875
transcript.pyannote[2201].speaker SPEAKER_06
transcript.pyannote[2201].start 12944.91096875
transcript.pyannote[2201].end 12974.29034375
transcript.pyannote[2202].speaker SPEAKER_06
transcript.pyannote[2202].start 12974.40846875
transcript.pyannote[2202].end 13000.71659375
transcript.pyannote[2203].speaker SPEAKER_06
transcript.pyannote[2203].start 13001.00346875
transcript.pyannote[2203].end 13010.82471875
transcript.pyannote[2204].speaker SPEAKER_06
transcript.pyannote[2204].start 13011.24659375
transcript.pyannote[2204].end 13048.21971875
transcript.pyannote[2205].speaker SPEAKER_06
transcript.pyannote[2205].start 13048.87784375
transcript.pyannote[2205].end 13049.83971875
transcript.pyannote[2206].speaker SPEAKER_06
transcript.pyannote[2206].start 13050.68346875
transcript.pyannote[2206].end 13055.93159375
transcript.pyannote[2207].speaker SPEAKER_06
transcript.pyannote[2207].start 13056.08346875
transcript.pyannote[2207].end 13076.63721875
transcript.pyannote[2208].speaker SPEAKER_19
transcript.pyannote[2208].start 13076.78909375
transcript.pyannote[2208].end 13082.69534375
transcript.pyannote[2209].speaker SPEAKER_19
transcript.pyannote[2209].start 13083.13409375
transcript.pyannote[2209].end 13083.33659375
transcript.pyannote[2210].speaker SPEAKER_19
transcript.pyannote[2210].start 13083.64034375
transcript.pyannote[2210].end 13086.76221875
transcript.pyannote[2211].speaker SPEAKER_19
transcript.pyannote[2211].start 13087.08284375
transcript.pyannote[2211].end 13089.09096875
transcript.pyannote[2212].speaker SPEAKER_06
transcript.pyannote[2212].start 13088.80409375
transcript.pyannote[2212].end 13100.32971875
transcript.pyannote[2213].speaker SPEAKER_06
transcript.pyannote[2213].start 13100.56596875
transcript.pyannote[2213].end 13116.27659375
transcript.pyannote[2214].speaker SPEAKER_19
transcript.pyannote[2214].start 13115.73659375
transcript.pyannote[2214].end 13117.52534375
transcript.pyannote[2215].speaker SPEAKER_31
transcript.pyannote[2215].start 13119.53346875
transcript.pyannote[2215].end 13120.41096875
transcript.pyannote[2216].speaker SPEAKER_31
transcript.pyannote[2216].start 13121.47409375
transcript.pyannote[2216].end 13129.13534375
transcript.pyannote[2217].speaker SPEAKER_31
transcript.pyannote[2217].start 13130.11409375
transcript.pyannote[2217].end 13132.76346875
transcript.pyannote[2218].speaker SPEAKER_22
transcript.pyannote[2218].start 13141.36971875
transcript.pyannote[2218].end 13144.79534375
transcript.pyannote[2219].speaker SPEAKER_32
transcript.pyannote[2219].start 13145.18346875
transcript.pyannote[2219].end 13146.43221875
transcript.pyannote[2220].speaker SPEAKER_32
transcript.pyannote[2220].start 13150.81971875
transcript.pyannote[2220].end 13151.03909375
transcript.pyannote[2221].speaker SPEAKER_08
transcript.pyannote[2221].start 13151.03909375
transcript.pyannote[2221].end 13151.27534375
transcript.pyannote[2222].speaker SPEAKER_22
transcript.pyannote[2222].start 13151.74784375
transcript.pyannote[2222].end 13157.08034375
transcript.pyannote[2223].speaker SPEAKER_22
transcript.pyannote[2223].start 13157.09721875
transcript.pyannote[2223].end 13163.77971875
transcript.pyannote[2224].speaker SPEAKER_22
transcript.pyannote[2224].start 13163.94846875
transcript.pyannote[2224].end 13173.12846875
transcript.pyannote[2225].speaker SPEAKER_22
transcript.pyannote[2225].start 13173.71909375
transcript.pyannote[2225].end 13194.88034375
transcript.pyannote[2226].speaker SPEAKER_22
transcript.pyannote[2226].start 13195.21784375
transcript.pyannote[2226].end 13219.21409375
transcript.pyannote[2227].speaker SPEAKER_22
transcript.pyannote[2227].start 13219.48409375
transcript.pyannote[2227].end 13250.06159375
transcript.pyannote[2228].speaker SPEAKER_22
transcript.pyannote[2228].start 13250.26409375
transcript.pyannote[2228].end 13252.74471875
transcript.pyannote[2229].speaker SPEAKER_22
transcript.pyannote[2229].start 13255.81596875
transcript.pyannote[2229].end 13256.92971875
transcript.pyannote[2230].speaker SPEAKER_19
transcript.pyannote[2230].start 13257.23346875
transcript.pyannote[2230].end 13273.61909375
transcript.pyannote[2231].speaker SPEAKER_22
transcript.pyannote[2231].start 13271.05409375
transcript.pyannote[2231].end 13271.72909375
transcript.pyannote[2232].speaker SPEAKER_22
transcript.pyannote[2232].start 13272.99471875
transcript.pyannote[2232].end 13273.21409375
transcript.pyannote[2233].speaker SPEAKER_22
transcript.pyannote[2233].start 13273.65284375
transcript.pyannote[2233].end 13294.03784375
transcript.pyannote[2234].speaker SPEAKER_22
transcript.pyannote[2234].start 13294.27409375
transcript.pyannote[2234].end 13320.24471875
transcript.pyannote[2235].speaker SPEAKER_22
transcript.pyannote[2235].start 13320.49784375
transcript.pyannote[2235].end 13322.06721875
transcript.pyannote[2236].speaker SPEAKER_27
transcript.pyannote[2236].start 13323.88971875
transcript.pyannote[2236].end 13331.80409375
transcript.pyannote[2237].speaker SPEAKER_22
transcript.pyannote[2237].start 13324.71659375
transcript.pyannote[2237].end 13325.22284375
transcript.pyannote[2238].speaker SPEAKER_27
transcript.pyannote[2238].start 13332.12471875
transcript.pyannote[2238].end 13343.65034375
transcript.pyannote[2239].speaker SPEAKER_00
transcript.pyannote[2239].start 13337.27159375
transcript.pyannote[2239].end 13337.62596875
transcript.pyannote[2240].speaker SPEAKER_27
transcript.pyannote[2240].start 13343.95409375
transcript.pyannote[2240].end 13364.37284375
transcript.pyannote[2241].speaker SPEAKER_22
transcript.pyannote[2241].start 13363.49534375
transcript.pyannote[2241].end 13376.82659375
transcript.pyannote[2242].speaker SPEAKER_22
transcript.pyannote[2242].start 13377.01221875
transcript.pyannote[2242].end 13379.71221875
transcript.pyannote[2243].speaker SPEAKER_22
transcript.pyannote[2243].start 13379.79659375
transcript.pyannote[2243].end 13381.63596875
transcript.pyannote[2244].speaker SPEAKER_22
transcript.pyannote[2244].start 13382.31096875
transcript.pyannote[2244].end 13386.59721875
transcript.pyannote[2245].speaker SPEAKER_22
transcript.pyannote[2245].start 13387.15409375
transcript.pyannote[2245].end 13400.31659375
transcript.pyannote[2246].speaker SPEAKER_22
transcript.pyannote[2246].start 13401.19409375
transcript.pyannote[2246].end 13410.40784375
transcript.pyannote[2247].speaker SPEAKER_22
transcript.pyannote[2247].start 13410.50909375
transcript.pyannote[2247].end 13415.36909375
transcript.pyannote[2248].speaker SPEAKER_22
transcript.pyannote[2248].start 13415.67284375
transcript.pyannote[2248].end 13419.84096875
transcript.pyannote[2249].speaker SPEAKER_22
transcript.pyannote[2249].start 13420.09409375
transcript.pyannote[2249].end 13436.14221875
transcript.pyannote[2250].speaker SPEAKER_22
transcript.pyannote[2250].start 13436.47971875
transcript.pyannote[2250].end 13441.33971875
transcript.pyannote[2251].speaker SPEAKER_27
transcript.pyannote[2251].start 13444.02284375
transcript.pyannote[2251].end 13448.29221875
transcript.pyannote[2252].speaker SPEAKER_27
transcript.pyannote[2252].start 13448.41034375
transcript.pyannote[2252].end 13463.42909375
transcript.pyannote[2253].speaker SPEAKER_22
transcript.pyannote[2253].start 13462.99034375
transcript.pyannote[2253].end 13468.55909375
transcript.pyannote[2254].speaker SPEAKER_27
transcript.pyannote[2254].start 13465.38659375
transcript.pyannote[2254].end 13466.31471875
transcript.pyannote[2255].speaker SPEAKER_27
transcript.pyannote[2255].start 13467.51284375
transcript.pyannote[2255].end 13475.83221875
transcript.pyannote[2256].speaker SPEAKER_22
transcript.pyannote[2256].start 13474.02659375
transcript.pyannote[2256].end 13483.00409375
transcript.pyannote[2257].speaker SPEAKER_22
transcript.pyannote[2257].start 13483.35846875
transcript.pyannote[2257].end 13487.20596875
transcript.pyannote[2258].speaker SPEAKER_22
transcript.pyannote[2258].start 13487.32409375
transcript.pyannote[2258].end 13492.01534375
transcript.pyannote[2259].speaker SPEAKER_22
transcript.pyannote[2259].start 13492.40346875
transcript.pyannote[2259].end 13494.24284375
transcript.pyannote[2260].speaker SPEAKER_22
transcript.pyannote[2260].start 13494.51284375
transcript.pyannote[2260].end 13498.27596875
transcript.pyannote[2261].speaker SPEAKER_22
transcript.pyannote[2261].start 13498.51221875
transcript.pyannote[2261].end 13498.83284375
transcript.pyannote[2262].speaker SPEAKER_22
transcript.pyannote[2262].start 13499.01846875
transcript.pyannote[2262].end 13501.09409375
transcript.pyannote[2263].speaker SPEAKER_22
transcript.pyannote[2263].start 13501.34721875
transcript.pyannote[2263].end 13503.76034375
transcript.pyannote[2264].speaker SPEAKER_22
transcript.pyannote[2264].start 13504.19909375
transcript.pyannote[2264].end 13505.66721875
transcript.pyannote[2265].speaker SPEAKER_22
transcript.pyannote[2265].start 13505.80221875
transcript.pyannote[2265].end 13511.20221875
transcript.pyannote[2266].speaker SPEAKER_31
transcript.pyannote[2266].start 13512.78846875
transcript.pyannote[2266].end 13513.59846875
transcript.pyannote[2267].speaker SPEAKER_31
transcript.pyannote[2267].start 13514.42534375
transcript.pyannote[2267].end 13516.73721875
transcript.pyannote[2268].speaker SPEAKER_21
transcript.pyannote[2268].start 13526.87909375
transcript.pyannote[2268].end 13530.18659375
transcript.pyannote[2269].speaker SPEAKER_32
transcript.pyannote[2269].start 13531.08096875
transcript.pyannote[2269].end 13532.24534375
transcript.pyannote[2270].speaker SPEAKER_08
transcript.pyannote[2270].start 13535.99159375
transcript.pyannote[2270].end 13536.56534375
transcript.pyannote[2271].speaker SPEAKER_21
transcript.pyannote[2271].start 13537.20659375
transcript.pyannote[2271].end 13541.29034375
transcript.pyannote[2272].speaker SPEAKER_21
transcript.pyannote[2272].start 13543.50096875
transcript.pyannote[2272].end 13543.70346875
transcript.pyannote[2273].speaker SPEAKER_21
transcript.pyannote[2273].start 13544.59784375
transcript.pyannote[2273].end 13566.11346875
transcript.pyannote[2274].speaker SPEAKER_21
transcript.pyannote[2274].start 13566.33284375
transcript.pyannote[2274].end 13567.66596875
transcript.pyannote[2275].speaker SPEAKER_21
transcript.pyannote[2275].start 13568.02034375
transcript.pyannote[2275].end 13600.67346875
transcript.pyannote[2276].speaker SPEAKER_21
transcript.pyannote[2276].start 13601.34846875
transcript.pyannote[2276].end 13612.68846875
transcript.pyannote[2277].speaker SPEAKER_21
transcript.pyannote[2277].start 13615.42221875
transcript.pyannote[2277].end 13616.53596875
transcript.pyannote[2278].speaker SPEAKER_08
transcript.pyannote[2278].start 13615.45596875
transcript.pyannote[2278].end 13629.91784375
transcript.pyannote[2279].speaker SPEAKER_08
transcript.pyannote[2279].start 13630.01909375
transcript.pyannote[2279].end 13631.80784375
transcript.pyannote[2280].speaker SPEAKER_21
transcript.pyannote[2280].start 13631.23409375
transcript.pyannote[2280].end 13670.48534375
transcript.pyannote[2281].speaker SPEAKER_21
transcript.pyannote[2281].start 13671.05909375
transcript.pyannote[2281].end 13715.96346875
transcript.pyannote[2282].speaker SPEAKER_21
transcript.pyannote[2282].start 13716.09846875
transcript.pyannote[2282].end 13723.27034375
transcript.pyannote[2283].speaker SPEAKER_21
transcript.pyannote[2283].start 13726.03784375
transcript.pyannote[2283].end 13729.07534375
transcript.pyannote[2284].speaker SPEAKER_08
transcript.pyannote[2284].start 13729.29471875
transcript.pyannote[2284].end 13733.04096875
transcript.pyannote[2285].speaker SPEAKER_08
transcript.pyannote[2285].start 13733.12534375
transcript.pyannote[2285].end 13743.75659375
transcript.pyannote[2286].speaker SPEAKER_21
transcript.pyannote[2286].start 13743.30096875
transcript.pyannote[2286].end 13758.55596875
transcript.pyannote[2287].speaker SPEAKER_08
transcript.pyannote[2287].start 13743.99284375
transcript.pyannote[2287].end 13744.26284375
transcript.pyannote[2288].speaker SPEAKER_21
transcript.pyannote[2288].start 13759.24784375
transcript.pyannote[2288].end 13762.43721875
transcript.pyannote[2289].speaker SPEAKER_21
transcript.pyannote[2289].start 13763.01096875
transcript.pyannote[2289].end 13764.25971875
transcript.pyannote[2290].speaker SPEAKER_19
transcript.pyannote[2290].start 13767.97221875
transcript.pyannote[2290].end 13770.87471875
transcript.pyannote[2291].speaker SPEAKER_26
transcript.pyannote[2291].start 13771.70159375
transcript.pyannote[2291].end 13783.05846875
transcript.pyannote[2292].speaker SPEAKER_21
transcript.pyannote[2292].start 13782.61971875
transcript.pyannote[2292].end 13784.18909375
transcript.pyannote[2293].speaker SPEAKER_21
transcript.pyannote[2293].start 13784.67846875
transcript.pyannote[2293].end 13810.90221875
transcript.pyannote[2294].speaker SPEAKER_26
transcript.pyannote[2294].start 13785.06659375
transcript.pyannote[2294].end 13785.40409375
transcript.pyannote[2295].speaker SPEAKER_26
transcript.pyannote[2295].start 13810.90221875
transcript.pyannote[2295].end 13818.74909375
transcript.pyannote[2296].speaker SPEAKER_21
transcript.pyannote[2296].start 13817.66909375
transcript.pyannote[2296].end 13831.27034375
transcript.pyannote[2297].speaker SPEAKER_21
transcript.pyannote[2297].start 13831.72596875
transcript.pyannote[2297].end 13856.66721875
transcript.pyannote[2298].speaker SPEAKER_21
transcript.pyannote[2298].start 13857.59534375
transcript.pyannote[2298].end 13874.50409375
transcript.pyannote[2299].speaker SPEAKER_21
transcript.pyannote[2299].start 13875.85409375
transcript.pyannote[2299].end 13882.14846875
transcript.pyannote[2300].speaker SPEAKER_26
transcript.pyannote[2300].start 13883.05971875
transcript.pyannote[2300].end 13886.08034375
transcript.pyannote[2301].speaker SPEAKER_21
transcript.pyannote[2301].start 13886.75534375
transcript.pyannote[2301].end 13908.08534375
transcript.pyannote[2302].speaker SPEAKER_26
transcript.pyannote[2302].start 13889.99534375
transcript.pyannote[2302].end 13891.34534375
transcript.pyannote[2303].speaker SPEAKER_31
transcript.pyannote[2303].start 13914.02534375
transcript.pyannote[2303].end 13914.86909375
transcript.pyannote[2304].speaker SPEAKER_31
transcript.pyannote[2304].start 13916.10096875
transcript.pyannote[2304].end 13917.02909375
transcript.pyannote[2305].speaker SPEAKER_31
transcript.pyannote[2305].start 13917.45096875
transcript.pyannote[2305].end 13927.42409375
transcript.pyannote[2306].speaker SPEAKER_09
transcript.pyannote[2306].start 13938.30846875
transcript.pyannote[2306].end 13942.99971875
transcript.pyannote[2307].speaker SPEAKER_32
transcript.pyannote[2307].start 13943.25284375
transcript.pyannote[2307].end 13944.14721875
transcript.pyannote[2308].speaker SPEAKER_19
transcript.pyannote[2308].start 13951.15034375
transcript.pyannote[2308].end 13951.75784375
transcript.pyannote[2309].speaker SPEAKER_09
transcript.pyannote[2309].start 13953.51284375
transcript.pyannote[2309].end 13954.82909375
transcript.pyannote[2310].speaker SPEAKER_09
transcript.pyannote[2310].start 13956.02721875
transcript.pyannote[2310].end 14005.21784375
transcript.pyannote[2311].speaker SPEAKER_09
transcript.pyannote[2311].start 14006.17971875
transcript.pyannote[2311].end 14008.96409375
transcript.pyannote[2312].speaker SPEAKER_09
transcript.pyannote[2312].start 14009.26784375
transcript.pyannote[2312].end 14011.84971875
transcript.pyannote[2313].speaker SPEAKER_09
transcript.pyannote[2313].start 14012.45721875
transcript.pyannote[2313].end 14016.54096875
transcript.pyannote[2314].speaker SPEAKER_09
transcript.pyannote[2314].start 14017.26659375
transcript.pyannote[2314].end 14017.78971875
transcript.pyannote[2315].speaker SPEAKER_09
transcript.pyannote[2315].start 14018.38034375
transcript.pyannote[2315].end 14042.00534375
transcript.pyannote[2316].speaker SPEAKER_09
transcript.pyannote[2316].start 14043.22034375
transcript.pyannote[2316].end 14044.89096875
transcript.pyannote[2317].speaker SPEAKER_19
transcript.pyannote[2317].start 14047.37159375
transcript.pyannote[2317].end 14048.51909375
transcript.pyannote[2318].speaker SPEAKER_19
transcript.pyannote[2318].start 14048.65409375
transcript.pyannote[2318].end 14051.91096875
transcript.pyannote[2319].speaker SPEAKER_19
transcript.pyannote[2319].start 14051.92784375
transcript.pyannote[2319].end 14058.15471875
transcript.pyannote[2320].speaker SPEAKER_19
transcript.pyannote[2320].start 14058.54284375
transcript.pyannote[2320].end 14062.25534375
transcript.pyannote[2321].speaker SPEAKER_19
transcript.pyannote[2321].start 14062.30596875
transcript.pyannote[2321].end 14068.33034375
transcript.pyannote[2322].speaker SPEAKER_19
transcript.pyannote[2322].start 14069.25846875
transcript.pyannote[2322].end 14069.88284375
transcript.pyannote[2323].speaker SPEAKER_19
transcript.pyannote[2323].start 14070.59159375
transcript.pyannote[2323].end 14075.55284375
transcript.pyannote[2324].speaker SPEAKER_19
transcript.pyannote[2324].start 14076.07596875
transcript.pyannote[2324].end 14083.70346875
transcript.pyannote[2325].speaker SPEAKER_19
transcript.pyannote[2325].start 14083.97346875
transcript.pyannote[2325].end 14083.99034375
transcript.pyannote[2326].speaker SPEAKER_19
transcript.pyannote[2326].start 14084.02409375
transcript.pyannote[2326].end 14084.49659375
transcript.pyannote[2327].speaker SPEAKER_19
transcript.pyannote[2327].start 14084.66534375
transcript.pyannote[2327].end 14092.24221875
transcript.pyannote[2328].speaker SPEAKER_19
transcript.pyannote[2328].start 14092.44471875
transcript.pyannote[2328].end 14094.38534375
transcript.pyannote[2329].speaker SPEAKER_19
transcript.pyannote[2329].start 14094.77346875
transcript.pyannote[2329].end 14096.96721875
transcript.pyannote[2330].speaker SPEAKER_19
transcript.pyannote[2330].start 14097.30471875
transcript.pyannote[2330].end 14099.75159375
transcript.pyannote[2331].speaker SPEAKER_19
transcript.pyannote[2331].start 14099.81909375
transcript.pyannote[2331].end 14099.85284375
transcript.pyannote[2332].speaker SPEAKER_09
transcript.pyannote[2332].start 14099.85284375
transcript.pyannote[2332].end 14100.10596875
transcript.pyannote[2333].speaker SPEAKER_19
transcript.pyannote[2333].start 14100.57846875
transcript.pyannote[2333].end 14102.02971875
transcript.pyannote[2334].speaker SPEAKER_09
transcript.pyannote[2334].start 14103.05909375
transcript.pyannote[2334].end 14148.30096875
transcript.pyannote[2335].speaker SPEAKER_09
transcript.pyannote[2335].start 14148.40221875
transcript.pyannote[2335].end 14152.41846875
transcript.pyannote[2336].speaker SPEAKER_09
transcript.pyannote[2336].start 14153.09346875
transcript.pyannote[2336].end 14154.10596875
transcript.pyannote[2337].speaker SPEAKER_09
transcript.pyannote[2337].start 14154.29159375
transcript.pyannote[2337].end 14158.52721875
transcript.pyannote[2338].speaker SPEAKER_09
transcript.pyannote[2338].start 14159.77596875
transcript.pyannote[2338].end 14160.72096875
transcript.pyannote[2339].speaker SPEAKER_09
transcript.pyannote[2339].start 14162.22284375
transcript.pyannote[2339].end 14167.43721875
transcript.pyannote[2340].speaker SPEAKER_09
transcript.pyannote[2340].start 14168.88846875
transcript.pyannote[2340].end 14170.69409375
transcript.pyannote[2341].speaker SPEAKER_09
transcript.pyannote[2341].start 14171.01471875
transcript.pyannote[2341].end 14191.72034375
transcript.pyannote[2342].speaker SPEAKER_09
transcript.pyannote[2342].start 14192.32784375
transcript.pyannote[2342].end 14193.66096875
transcript.pyannote[2343].speaker SPEAKER_09
transcript.pyannote[2343].start 14194.01534375
transcript.pyannote[2343].end 14205.87846875
transcript.pyannote[2344].speaker SPEAKER_19
transcript.pyannote[2344].start 14206.80659375
transcript.pyannote[2344].end 14223.15846875
transcript.pyannote[2345].speaker SPEAKER_19
transcript.pyannote[2345].start 14223.49596875
transcript.pyannote[2345].end 14237.90721875
transcript.pyannote[2346].speaker SPEAKER_19
transcript.pyannote[2346].start 14238.04221875
transcript.pyannote[2346].end 14245.63596875
transcript.pyannote[2347].speaker SPEAKER_09
transcript.pyannote[2347].start 14245.83846875
transcript.pyannote[2347].end 14263.23659375
transcript.pyannote[2348].speaker SPEAKER_09
transcript.pyannote[2348].start 14263.43909375
transcript.pyannote[2348].end 14265.88596875
transcript.pyannote[2349].speaker SPEAKER_09
transcript.pyannote[2349].start 14266.39221875
transcript.pyannote[2349].end 14269.41284375
transcript.pyannote[2350].speaker SPEAKER_09
transcript.pyannote[2350].start 14269.95284375
transcript.pyannote[2350].end 14270.52659375
transcript.pyannote[2351].speaker SPEAKER_09
transcript.pyannote[2351].start 14271.25221875
transcript.pyannote[2351].end 14274.07034375
transcript.pyannote[2352].speaker SPEAKER_19
transcript.pyannote[2352].start 14272.68659375
transcript.pyannote[2352].end 14274.01971875
transcript.pyannote[2353].speaker SPEAKER_19
transcript.pyannote[2353].start 14274.07034375
transcript.pyannote[2353].end 14290.25346875
transcript.pyannote[2354].speaker SPEAKER_09
transcript.pyannote[2354].start 14290.97909375
transcript.pyannote[2354].end 14309.27159375
transcript.pyannote[2355].speaker SPEAKER_09
transcript.pyannote[2355].start 14310.25034375
transcript.pyannote[2355].end 14311.16159375
transcript.pyannote[2356].speaker SPEAKER_09
transcript.pyannote[2356].start 14311.78596875
transcript.pyannote[2356].end 14341.19909375
transcript.pyannote[2357].speaker SPEAKER_09
transcript.pyannote[2357].start 14341.55346875
transcript.pyannote[2357].end 14350.36221875
transcript.pyannote[2358].speaker SPEAKER_19
transcript.pyannote[2358].start 14349.77159375
transcript.pyannote[2358].end 14353.34909375
transcript.pyannote[2359].speaker SPEAKER_09
transcript.pyannote[2359].start 14353.01159375
transcript.pyannote[2359].end 14353.58534375
transcript.pyannote[2360].speaker SPEAKER_31
transcript.pyannote[2360].start 14353.58534375
transcript.pyannote[2360].end 14361.38159375
transcript.pyannote[2361].speaker SPEAKER_31
transcript.pyannote[2361].start 14361.68534375
transcript.pyannote[2361].end 14387.14971875
transcript.pyannote[2362].speaker SPEAKER_31
transcript.pyannote[2362].start 14388.33096875
transcript.pyannote[2362].end 14390.52471875
transcript.pyannote[2363].speaker SPEAKER_25
transcript.pyannote[2363].start 14398.35471875
transcript.pyannote[2363].end 14401.15596875
transcript.pyannote[2364].speaker SPEAKER_32
transcript.pyannote[2364].start 14401.96596875
transcript.pyannote[2364].end 14403.09659375
transcript.pyannote[2365].speaker SPEAKER_08
transcript.pyannote[2365].start 14406.82596875
transcript.pyannote[2365].end 14407.26471875
transcript.pyannote[2366].speaker SPEAKER_25
transcript.pyannote[2366].start 14408.90159375
transcript.pyannote[2366].end 14420.41034375
transcript.pyannote[2367].speaker SPEAKER_25
transcript.pyannote[2367].start 14420.81534375
transcript.pyannote[2367].end 14427.51471875
transcript.pyannote[2368].speaker SPEAKER_25
transcript.pyannote[2368].start 14427.75096875
transcript.pyannote[2368].end 14435.47971875
transcript.pyannote[2369].speaker SPEAKER_25
transcript.pyannote[2369].start 14435.56409375
transcript.pyannote[2369].end 14443.39409375
transcript.pyannote[2370].speaker SPEAKER_25
transcript.pyannote[2370].start 14444.33909375
transcript.pyannote[2370].end 14446.46534375
transcript.pyannote[2371].speaker SPEAKER_13
transcript.pyannote[2371].start 14448.23721875
transcript.pyannote[2371].end 14448.27096875
transcript.pyannote[2372].speaker SPEAKER_25
transcript.pyannote[2372].start 14448.27096875
transcript.pyannote[2372].end 14448.72659375
transcript.pyannote[2373].speaker SPEAKER_25
transcript.pyannote[2373].start 14448.87846875
transcript.pyannote[2373].end 14450.14409375
transcript.pyannote[2374].speaker SPEAKER_08
transcript.pyannote[2374].start 14454.14346875
transcript.pyannote[2374].end 14456.48909375
transcript.pyannote[2375].speaker SPEAKER_16
transcript.pyannote[2375].start 14456.48909375
transcript.pyannote[2375].end 14457.46784375
transcript.pyannote[2376].speaker SPEAKER_25
transcript.pyannote[2376].start 14457.04596875
transcript.pyannote[2376].end 14460.25221875
transcript.pyannote[2377].speaker SPEAKER_16
transcript.pyannote[2377].start 14460.21846875
transcript.pyannote[2377].end 14467.64346875
transcript.pyannote[2378].speaker SPEAKER_25
transcript.pyannote[2378].start 14465.24721875
transcript.pyannote[2378].end 14465.78721875
transcript.pyannote[2379].speaker SPEAKER_25
transcript.pyannote[2379].start 14467.33971875
transcript.pyannote[2379].end 14480.14784375
transcript.pyannote[2380].speaker SPEAKER_25
transcript.pyannote[2380].start 14480.41784375
transcript.pyannote[2380].end 14484.43409375
transcript.pyannote[2381].speaker SPEAKER_16
transcript.pyannote[2381].start 14484.63659375
transcript.pyannote[2381].end 14487.80909375
transcript.pyannote[2382].speaker SPEAKER_25
transcript.pyannote[2382].start 14487.43784375
transcript.pyannote[2382].end 14491.52159375
transcript.pyannote[2383].speaker SPEAKER_16
transcript.pyannote[2383].start 14492.11221875
transcript.pyannote[2383].end 14492.21346875
transcript.pyannote[2384].speaker SPEAKER_16
transcript.pyannote[2384].start 14492.50034375
transcript.pyannote[2384].end 14492.73659375
transcript.pyannote[2385].speaker SPEAKER_25
transcript.pyannote[2385].start 14492.85471875
transcript.pyannote[2385].end 14496.17909375
transcript.pyannote[2386].speaker SPEAKER_25
transcript.pyannote[2386].start 14496.65159375
transcript.pyannote[2386].end 14498.05221875
transcript.pyannote[2387].speaker SPEAKER_25
transcript.pyannote[2387].start 14498.47409375
transcript.pyannote[2387].end 14500.31346875
transcript.pyannote[2388].speaker SPEAKER_13
transcript.pyannote[2388].start 14501.24159375
transcript.pyannote[2388].end 14501.47784375
transcript.pyannote[2389].speaker SPEAKER_25
transcript.pyannote[2389].start 14501.47784375
transcript.pyannote[2389].end 14506.45596875
transcript.pyannote[2390].speaker SPEAKER_13
transcript.pyannote[2390].start 14501.49471875
transcript.pyannote[2390].end 14501.52846875
transcript.pyannote[2391].speaker SPEAKER_08
transcript.pyannote[2391].start 14506.50659375
transcript.pyannote[2391].end 14512.69971875
transcript.pyannote[2392].speaker SPEAKER_25
transcript.pyannote[2392].start 14512.32846875
transcript.pyannote[2392].end 14520.83346875
transcript.pyannote[2393].speaker SPEAKER_08
transcript.pyannote[2393].start 14513.52659375
transcript.pyannote[2393].end 14514.04971875
transcript.pyannote[2394].speaker SPEAKER_08
transcript.pyannote[2394].start 14517.03659375
transcript.pyannote[2394].end 14517.08721875
transcript.pyannote[2395].speaker SPEAKER_13
transcript.pyannote[2395].start 14517.08721875
transcript.pyannote[2395].end 14517.13784375
transcript.pyannote[2396].speaker SPEAKER_08
transcript.pyannote[2396].start 14517.13784375
transcript.pyannote[2396].end 14517.23909375
transcript.pyannote[2397].speaker SPEAKER_13
transcript.pyannote[2397].start 14517.23909375
transcript.pyannote[2397].end 14518.31909375
transcript.pyannote[2398].speaker SPEAKER_13
transcript.pyannote[2398].start 14520.93471875
transcript.pyannote[2398].end 14521.45784375
transcript.pyannote[2399].speaker SPEAKER_25
transcript.pyannote[2399].start 14521.52534375
transcript.pyannote[2399].end 14534.62034375
transcript.pyannote[2400].speaker SPEAKER_13
transcript.pyannote[2400].start 14523.58409375
transcript.pyannote[2400].end 14523.61784375
transcript.pyannote[2401].speaker SPEAKER_08
transcript.pyannote[2401].start 14523.61784375
transcript.pyannote[2401].end 14523.73596875
transcript.pyannote[2402].speaker SPEAKER_08
transcript.pyannote[2402].start 14527.95471875
transcript.pyannote[2402].end 14528.14034375
transcript.pyannote[2403].speaker SPEAKER_25
transcript.pyannote[2403].start 14534.80596875
transcript.pyannote[2403].end 14536.22346875
transcript.pyannote[2404].speaker SPEAKER_08
transcript.pyannote[2404].start 14536.22346875
transcript.pyannote[2404].end 14539.76721875
transcript.pyannote[2405].speaker SPEAKER_25
transcript.pyannote[2405].start 14539.80096875
transcript.pyannote[2405].end 14547.39471875
transcript.pyannote[2406].speaker SPEAKER_25
transcript.pyannote[2406].start 14548.32284375
transcript.pyannote[2406].end 14552.01846875
transcript.pyannote[2407].speaker SPEAKER_25
transcript.pyannote[2407].start 14552.47409375
transcript.pyannote[2407].end 14556.43971875
transcript.pyannote[2408].speaker SPEAKER_25
transcript.pyannote[2408].start 14556.77721875
transcript.pyannote[2408].end 14558.02596875
transcript.pyannote[2409].speaker SPEAKER_25
transcript.pyannote[2409].start 14558.56596875
transcript.pyannote[2409].end 14562.54846875
transcript.pyannote[2410].speaker SPEAKER_25
transcript.pyannote[2410].start 14564.26971875
transcript.pyannote[2410].end 14564.82659375
transcript.pyannote[2411].speaker SPEAKER_25
transcript.pyannote[2411].start 14565.68721875
transcript.pyannote[2411].end 14566.21034375
transcript.pyannote[2412].speaker SPEAKER_25
transcript.pyannote[2412].start 14567.47596875
transcript.pyannote[2412].end 14569.60221875
transcript.pyannote[2413].speaker SPEAKER_25
transcript.pyannote[2413].start 14569.97346875
transcript.pyannote[2413].end 14571.34034375
transcript.pyannote[2414].speaker SPEAKER_25
transcript.pyannote[2414].start 14571.54284375
transcript.pyannote[2414].end 14577.75284375
transcript.pyannote[2415].speaker SPEAKER_25
transcript.pyannote[2415].start 14578.66409375
transcript.pyannote[2415].end 14582.12346875
transcript.pyannote[2416].speaker SPEAKER_25
transcript.pyannote[2416].start 14582.41034375
transcript.pyannote[2416].end 14584.33409375
transcript.pyannote[2417].speaker SPEAKER_25
transcript.pyannote[2417].start 14584.68846875
transcript.pyannote[2417].end 14589.34596875
transcript.pyannote[2418].speaker SPEAKER_25
transcript.pyannote[2418].start 14589.97034375
transcript.pyannote[2418].end 14597.95221875
transcript.pyannote[2419].speaker SPEAKER_25
transcript.pyannote[2419].start 14599.11659375
transcript.pyannote[2419].end 14600.41596875
transcript.pyannote[2420].speaker SPEAKER_25
transcript.pyannote[2420].start 14600.87159375
transcript.pyannote[2420].end 14603.45346875
transcript.pyannote[2421].speaker SPEAKER_25
transcript.pyannote[2421].start 14604.09471875
transcript.pyannote[2421].end 14611.90784375
transcript.pyannote[2422].speaker SPEAKER_25
transcript.pyannote[2422].start 14612.22846875
transcript.pyannote[2422].end 14618.01659375
transcript.pyannote[2423].speaker SPEAKER_25
transcript.pyannote[2423].start 14618.48909375
transcript.pyannote[2423].end 14624.98596875
transcript.pyannote[2424].speaker SPEAKER_25
transcript.pyannote[2424].start 14625.94784375
transcript.pyannote[2424].end 14627.92221875
transcript.pyannote[2425].speaker SPEAKER_25
transcript.pyannote[2425].start 14629.30596875
transcript.pyannote[2425].end 14633.00159375
transcript.pyannote[2426].speaker SPEAKER_25
transcript.pyannote[2426].start 14633.47409375
transcript.pyannote[2426].end 14633.98034375
transcript.pyannote[2427].speaker SPEAKER_25
transcript.pyannote[2427].start 14634.38534375
transcript.pyannote[2427].end 14635.68471875
transcript.pyannote[2428].speaker SPEAKER_25
transcript.pyannote[2428].start 14636.05596875
transcript.pyannote[2428].end 14639.22846875
transcript.pyannote[2429].speaker SPEAKER_25
transcript.pyannote[2429].start 14640.30846875
transcript.pyannote[2429].end 14641.15221875
transcript.pyannote[2430].speaker SPEAKER_25
transcript.pyannote[2430].start 14642.72159375
transcript.pyannote[2430].end 14643.93659375
transcript.pyannote[2431].speaker SPEAKER_25
transcript.pyannote[2431].start 14644.81409375
transcript.pyannote[2431].end 14646.28221875
transcript.pyannote[2432].speaker SPEAKER_25
transcript.pyannote[2432].start 14646.55221875
transcript.pyannote[2432].end 14654.44971875
transcript.pyannote[2433].speaker SPEAKER_25
transcript.pyannote[2433].start 14654.90534375
transcript.pyannote[2433].end 14658.21284375
transcript.pyannote[2434].speaker SPEAKER_25
transcript.pyannote[2434].start 14658.68534375
transcript.pyannote[2434].end 14661.01409375
transcript.pyannote[2435].speaker SPEAKER_25
transcript.pyannote[2435].start 14661.50346875
transcript.pyannote[2435].end 14670.26159375
transcript.pyannote[2436].speaker SPEAKER_25
transcript.pyannote[2436].start 14671.78034375
transcript.pyannote[2436].end 14672.94471875
transcript.pyannote[2437].speaker SPEAKER_25
transcript.pyannote[2437].start 14673.77159375
transcript.pyannote[2437].end 14676.42096875
transcript.pyannote[2438].speaker SPEAKER_25
transcript.pyannote[2438].start 14676.80909375
transcript.pyannote[2438].end 14683.82909375
transcript.pyannote[2439].speaker SPEAKER_19
transcript.pyannote[2439].start 14683.82909375
transcript.pyannote[2439].end 14683.86284375
transcript.pyannote[2440].speaker SPEAKER_19
transcript.pyannote[2440].start 14686.09034375
transcript.pyannote[2440].end 14692.67159375
transcript.pyannote[2441].speaker SPEAKER_25
transcript.pyannote[2441].start 14693.05971875
transcript.pyannote[2441].end 14697.98721875
transcript.pyannote[2442].speaker SPEAKER_25
transcript.pyannote[2442].start 14698.30784375
transcript.pyannote[2442].end 14704.55159375
transcript.pyannote[2443].speaker SPEAKER_13
transcript.pyannote[2443].start 14704.66971875
transcript.pyannote[2443].end 14704.70346875
transcript.pyannote[2444].speaker SPEAKER_19
transcript.pyannote[2444].start 14704.70346875
transcript.pyannote[2444].end 14704.90596875
transcript.pyannote[2445].speaker SPEAKER_19
transcript.pyannote[2445].start 14705.66534375
transcript.pyannote[2445].end 14713.96784375
transcript.pyannote[2446].speaker SPEAKER_25
transcript.pyannote[2446].start 14710.20471875
transcript.pyannote[2446].end 14710.96409375
transcript.pyannote[2447].speaker SPEAKER_25
transcript.pyannote[2447].start 14711.35221875
transcript.pyannote[2447].end 14712.01034375
transcript.pyannote[2448].speaker SPEAKER_25
transcript.pyannote[2448].start 14713.96784375
transcript.pyannote[2448].end 14714.67659375
transcript.pyannote[2449].speaker SPEAKER_25
transcript.pyannote[2449].start 14715.63846875
transcript.pyannote[2449].end 14726.72534375
transcript.pyannote[2450].speaker SPEAKER_24
transcript.pyannote[2450].start 14724.36284375
transcript.pyannote[2450].end 14724.66659375
transcript.pyannote[2451].speaker SPEAKER_25
transcript.pyannote[2451].start 14726.96159375
transcript.pyannote[2451].end 14728.48034375
transcript.pyannote[2452].speaker SPEAKER_25
transcript.pyannote[2452].start 14729.03721875
transcript.pyannote[2452].end 14732.00721875
transcript.pyannote[2453].speaker SPEAKER_25
transcript.pyannote[2453].start 14732.46284375
transcript.pyannote[2453].end 14736.56346875
transcript.pyannote[2454].speaker SPEAKER_25
transcript.pyannote[2454].start 14736.66471875
transcript.pyannote[2454].end 14742.03096875
transcript.pyannote[2455].speaker SPEAKER_25
transcript.pyannote[2455].start 14742.23346875
transcript.pyannote[2455].end 14742.99284375
transcript.pyannote[2456].speaker SPEAKER_25
transcript.pyannote[2456].start 14743.58346875
transcript.pyannote[2456].end 14748.10596875
transcript.pyannote[2457].speaker SPEAKER_25
transcript.pyannote[2457].start 14748.39284375
transcript.pyannote[2457].end 14763.63096875
transcript.pyannote[2458].speaker SPEAKER_25
transcript.pyannote[2458].start 14763.98534375
transcript.pyannote[2458].end 14767.15784375
transcript.pyannote[2459].speaker SPEAKER_25
transcript.pyannote[2459].start 14768.13659375
transcript.pyannote[2459].end 14770.38096875
transcript.pyannote[2460].speaker SPEAKER_25
transcript.pyannote[2460].start 14770.92096875
transcript.pyannote[2460].end 14771.56221875
transcript.pyannote[2461].speaker SPEAKER_31
transcript.pyannote[2461].start 14772.52409375
transcript.pyannote[2461].end 14773.38471875
transcript.pyannote[2462].speaker SPEAKER_31
transcript.pyannote[2462].start 14774.90346875
transcript.pyannote[2462].end 14779.84784375
transcript.pyannote[2463].speaker SPEAKER_13
transcript.pyannote[2463].start 14781.51846875
transcript.pyannote[2463].end 14782.29471875
transcript.pyannote[2464].speaker SPEAKER_13
transcript.pyannote[2464].start 14783.25659375
transcript.pyannote[2464].end 14784.50534375
transcript.pyannote[2465].speaker SPEAKER_25
transcript.pyannote[2465].start 14784.50534375
transcript.pyannote[2465].end 14784.70784375
transcript.pyannote[2466].speaker SPEAKER_25
transcript.pyannote[2466].start 14784.97784375
transcript.pyannote[2466].end 14785.04534375
transcript.pyannote[2467].speaker SPEAKER_25
transcript.pyannote[2467].start 14785.14659375
transcript.pyannote[2467].end 14786.73284375
transcript.pyannote[2468].speaker SPEAKER_13
transcript.pyannote[2468].start 14787.99846875
transcript.pyannote[2468].end 14790.73221875
transcript.pyannote[2469].speaker SPEAKER_16
transcript.pyannote[2469].start 14792.13284375
transcript.pyannote[2469].end 14794.07346875
transcript.pyannote[2470].speaker SPEAKER_08
transcript.pyannote[2470].start 14794.07346875
transcript.pyannote[2470].end 14797.63409375
transcript.pyannote[2471].speaker SPEAKER_08
transcript.pyannote[2471].start 14798.46096875
transcript.pyannote[2471].end 14803.33784375
transcript.pyannote[2472].speaker SPEAKER_39
transcript.pyannote[2472].start 14801.41409375
transcript.pyannote[2472].end 14803.27034375
transcript.pyannote[2473].speaker SPEAKER_39
transcript.pyannote[2473].start 14803.33784375
transcript.pyannote[2473].end 14803.52346875
transcript.pyannote[2474].speaker SPEAKER_08
transcript.pyannote[2474].start 14803.52346875
transcript.pyannote[2474].end 14809.98659375
transcript.pyannote[2475].speaker SPEAKER_39
transcript.pyannote[2475].start 14803.54034375
transcript.pyannote[2475].end 14803.77659375
transcript.pyannote[2476].speaker SPEAKER_16
transcript.pyannote[2476].start 14807.62409375
transcript.pyannote[2476].end 14809.32846875
transcript.pyannote[2477].speaker SPEAKER_16
transcript.pyannote[2477].start 14810.29034375
transcript.pyannote[2477].end 14821.02284375
transcript.pyannote[2478].speaker SPEAKER_13
transcript.pyannote[2478].start 14821.02284375
transcript.pyannote[2478].end 14821.15784375
transcript.pyannote[2479].speaker SPEAKER_13
transcript.pyannote[2479].start 14822.59221875
transcript.pyannote[2479].end 14822.62596875
transcript.pyannote[2480].speaker SPEAKER_16
transcript.pyannote[2480].start 14822.62596875
transcript.pyannote[2480].end 14829.52784375
transcript.pyannote[2481].speaker SPEAKER_08
transcript.pyannote[2481].start 14829.52784375
transcript.pyannote[2481].end 14829.54471875
transcript.pyannote[2482].speaker SPEAKER_16
transcript.pyannote[2482].start 14829.54471875
transcript.pyannote[2482].end 14830.16909375
transcript.pyannote[2483].speaker SPEAKER_08
transcript.pyannote[2483].start 14830.16909375
transcript.pyannote[2483].end 14839.12971875
transcript.pyannote[2484].speaker SPEAKER_16
transcript.pyannote[2484].start 14833.47659375
transcript.pyannote[2484].end 14835.01221875
transcript.pyannote[2485].speaker SPEAKER_16
transcript.pyannote[2485].start 14838.91034375
transcript.pyannote[2485].end 14846.13284375
transcript.pyannote[2486].speaker SPEAKER_08
transcript.pyannote[2486].start 14842.13346875
transcript.pyannote[2486].end 14843.53409375
transcript.pyannote[2487].speaker SPEAKER_13
transcript.pyannote[2487].start 14843.53409375
transcript.pyannote[2487].end 14843.80409375
transcript.pyannote[2488].speaker SPEAKER_08
transcript.pyannote[2488].start 14843.80409375
transcript.pyannote[2488].end 14843.98971875
transcript.pyannote[2489].speaker SPEAKER_13
transcript.pyannote[2489].start 14843.98971875
transcript.pyannote[2489].end 14844.00659375
transcript.pyannote[2490].speaker SPEAKER_08
transcript.pyannote[2490].start 14844.00659375
transcript.pyannote[2490].end 14844.02346875
transcript.pyannote[2491].speaker SPEAKER_13
transcript.pyannote[2491].start 14844.02346875
transcript.pyannote[2491].end 14847.31409375
transcript.pyannote[2492].speaker SPEAKER_31
transcript.pyannote[2492].start 15098.19471875
transcript.pyannote[2492].end 15100.91159375
transcript.pyannote[2493].speaker SPEAKER_31
transcript.pyannote[2493].start 15104.96159375
transcript.pyannote[2493].end 15109.65284375
transcript.pyannote[2494].speaker SPEAKER_24
transcript.pyannote[2494].start 15116.30159375
transcript.pyannote[2494].end 15122.66346875
transcript.pyannote[2495].speaker SPEAKER_32
transcript.pyannote[2495].start 15122.88284375
transcript.pyannote[2495].end 15123.97971875
transcript.pyannote[2496].speaker SPEAKER_32
transcript.pyannote[2496].start 15127.62471875
transcript.pyannote[2496].end 15127.97909375
transcript.pyannote[2497].speaker SPEAKER_08
transcript.pyannote[2497].start 15127.97909375
transcript.pyannote[2497].end 15128.33346875
transcript.pyannote[2498].speaker SPEAKER_24
transcript.pyannote[2498].start 15128.70471875
transcript.pyannote[2498].end 15128.72159375
transcript.pyannote[2499].speaker SPEAKER_05
transcript.pyannote[2499].start 15128.72159375
transcript.pyannote[2499].end 15128.75534375
transcript.pyannote[2500].speaker SPEAKER_24
transcript.pyannote[2500].start 15128.75534375
transcript.pyannote[2500].end 15128.95784375
transcript.pyannote[2501].speaker SPEAKER_05
transcript.pyannote[2501].start 15128.95784375
transcript.pyannote[2501].end 15128.99159375
transcript.pyannote[2502].speaker SPEAKER_24
transcript.pyannote[2502].start 15129.91971875
transcript.pyannote[2502].end 15132.68721875
transcript.pyannote[2503].speaker SPEAKER_08
transcript.pyannote[2503].start 15130.99971875
transcript.pyannote[2503].end 15131.05034375
transcript.pyannote[2504].speaker SPEAKER_05
transcript.pyannote[2504].start 15131.05034375
transcript.pyannote[2504].end 15131.37096875
transcript.pyannote[2505].speaker SPEAKER_24
transcript.pyannote[2505].start 15133.37909375
transcript.pyannote[2505].end 15158.80971875
transcript.pyannote[2506].speaker SPEAKER_24
transcript.pyannote[2506].start 15158.82659375
transcript.pyannote[2506].end 15161.34096875
transcript.pyannote[2507].speaker SPEAKER_24
transcript.pyannote[2507].start 15161.67846875
transcript.pyannote[2507].end 15171.83721875
transcript.pyannote[2508].speaker SPEAKER_24
transcript.pyannote[2508].start 15172.02284375
transcript.pyannote[2508].end 15176.34284375
transcript.pyannote[2509].speaker SPEAKER_24
transcript.pyannote[2509].start 15176.59596875
transcript.pyannote[2509].end 15186.34971875
transcript.pyannote[2510].speaker SPEAKER_24
transcript.pyannote[2510].start 15187.00784375
transcript.pyannote[2510].end 15189.52221875
transcript.pyannote[2511].speaker SPEAKER_24
transcript.pyannote[2511].start 15190.75409375
transcript.pyannote[2511].end 15196.17096875
transcript.pyannote[2512].speaker SPEAKER_24
transcript.pyannote[2512].start 15196.47471875
transcript.pyannote[2512].end 15200.03534375
transcript.pyannote[2513].speaker SPEAKER_24
transcript.pyannote[2513].start 15200.50784375
transcript.pyannote[2513].end 15210.12659375
transcript.pyannote[2514].speaker SPEAKER_24
transcript.pyannote[2514].start 15210.61596875
transcript.pyannote[2514].end 15214.31159375
transcript.pyannote[2515].speaker SPEAKER_24
transcript.pyannote[2515].start 15214.54784375
transcript.pyannote[2515].end 15215.91471875
transcript.pyannote[2516].speaker SPEAKER_24
transcript.pyannote[2516].start 15216.60659375
transcript.pyannote[2516].end 15222.61409375
transcript.pyannote[2517].speaker SPEAKER_24
transcript.pyannote[2517].start 15223.03596875
transcript.pyannote[2517].end 15223.42409375
transcript.pyannote[2518].speaker SPEAKER_24
transcript.pyannote[2518].start 15224.03159375
transcript.pyannote[2518].end 15224.62221875
transcript.pyannote[2519].speaker SPEAKER_24
transcript.pyannote[2519].start 15225.92159375
transcript.pyannote[2519].end 15243.87659375
transcript.pyannote[2520].speaker SPEAKER_24
transcript.pyannote[2520].start 15244.23096875
transcript.pyannote[2520].end 15258.00096875
transcript.pyannote[2521].speaker SPEAKER_24
transcript.pyannote[2521].start 15259.94159375
transcript.pyannote[2521].end 15260.53221875
transcript.pyannote[2522].speaker SPEAKER_24
transcript.pyannote[2522].start 15260.86971875
transcript.pyannote[2522].end 15265.91534375
transcript.pyannote[2523].speaker SPEAKER_24
transcript.pyannote[2523].start 15266.72534375
transcript.pyannote[2523].end 15268.19346875
transcript.pyannote[2524].speaker SPEAKER_24
transcript.pyannote[2524].start 15270.10034375
transcript.pyannote[2524].end 15271.02846875
transcript.pyannote[2525].speaker SPEAKER_24
transcript.pyannote[2525].start 15271.95659375
transcript.pyannote[2525].end 15283.58346875
transcript.pyannote[2526].speaker SPEAKER_24
transcript.pyannote[2526].start 15283.97159375
transcript.pyannote[2526].end 15288.40971875
transcript.pyannote[2527].speaker SPEAKER_24
transcript.pyannote[2527].start 15288.66284375
transcript.pyannote[2527].end 15292.64534375
transcript.pyannote[2528].speaker SPEAKER_24
transcript.pyannote[2528].start 15293.53971875
transcript.pyannote[2528].end 15298.56846875
transcript.pyannote[2529].speaker SPEAKER_24
transcript.pyannote[2529].start 15300.23909375
transcript.pyannote[2529].end 15304.94721875
transcript.pyannote[2530].speaker SPEAKER_24
transcript.pyannote[2530].start 15305.23409375
transcript.pyannote[2530].end 15307.83284375
transcript.pyannote[2531].speaker SPEAKER_24
transcript.pyannote[2531].start 15308.17034375
transcript.pyannote[2531].end 15311.74784375
transcript.pyannote[2532].speaker SPEAKER_24
transcript.pyannote[2532].start 15312.10221875
transcript.pyannote[2532].end 15315.66284375
transcript.pyannote[2533].speaker SPEAKER_08
transcript.pyannote[2533].start 15317.40096875
transcript.pyannote[2533].end 15327.79596875
transcript.pyannote[2534].speaker SPEAKER_08
transcript.pyannote[2534].start 15328.01534375
transcript.pyannote[2534].end 15329.23034375
transcript.pyannote[2535].speaker SPEAKER_08
transcript.pyannote[2535].start 15329.55096875
transcript.pyannote[2535].end 15334.63034375
transcript.pyannote[2536].speaker SPEAKER_08
transcript.pyannote[2536].start 15334.68096875
transcript.pyannote[2536].end 15336.03096875
transcript.pyannote[2537].speaker SPEAKER_08
transcript.pyannote[2537].start 15336.14909375
transcript.pyannote[2537].end 15336.18284375
transcript.pyannote[2538].speaker SPEAKER_24
transcript.pyannote[2538].start 15336.18284375
transcript.pyannote[2538].end 15341.21159375
transcript.pyannote[2539].speaker SPEAKER_08
transcript.pyannote[2539].start 15336.30096875
transcript.pyannote[2539].end 15338.24159375
transcript.pyannote[2540].speaker SPEAKER_08
transcript.pyannote[2540].start 15338.98409375
transcript.pyannote[2540].end 15339.60846875
transcript.pyannote[2541].speaker SPEAKER_08
transcript.pyannote[2541].start 15340.21596875
transcript.pyannote[2541].end 15340.45221875
transcript.pyannote[2542].speaker SPEAKER_08
transcript.pyannote[2542].start 15340.48596875
transcript.pyannote[2542].end 15341.66721875
transcript.pyannote[2543].speaker SPEAKER_24
transcript.pyannote[2543].start 15341.51534375
transcript.pyannote[2543].end 15367.23284375
transcript.pyannote[2544].speaker SPEAKER_24
transcript.pyannote[2544].start 15369.15659375
transcript.pyannote[2544].end 15370.72596875
transcript.pyannote[2545].speaker SPEAKER_19
transcript.pyannote[2545].start 15371.13096875
transcript.pyannote[2545].end 15373.07159375
transcript.pyannote[2546].speaker SPEAKER_24
transcript.pyannote[2546].start 15372.64971875
transcript.pyannote[2546].end 15373.54409375
transcript.pyannote[2547].speaker SPEAKER_24
transcript.pyannote[2547].start 15374.67471875
transcript.pyannote[2547].end 15375.61971875
transcript.pyannote[2548].speaker SPEAKER_19
transcript.pyannote[2548].start 15376.86846875
transcript.pyannote[2548].end 15377.37471875
transcript.pyannote[2549].speaker SPEAKER_19
transcript.pyannote[2549].start 15378.33659375
transcript.pyannote[2549].end 15397.25346875
transcript.pyannote[2550].speaker SPEAKER_19
transcript.pyannote[2550].start 15397.27034375
transcript.pyannote[2550].end 15398.83971875
transcript.pyannote[2551].speaker SPEAKER_19
transcript.pyannote[2551].start 15399.21096875
transcript.pyannote[2551].end 15402.07971875
transcript.pyannote[2552].speaker SPEAKER_19
transcript.pyannote[2552].start 15402.63659375
transcript.pyannote[2552].end 15405.30284375
transcript.pyannote[2553].speaker SPEAKER_19
transcript.pyannote[2553].start 15405.50534375
transcript.pyannote[2553].end 15409.20096875
transcript.pyannote[2554].speaker SPEAKER_24
transcript.pyannote[2554].start 15409.11659375
transcript.pyannote[2554].end 15423.05534375
transcript.pyannote[2555].speaker SPEAKER_24
transcript.pyannote[2555].start 15423.42659375
transcript.pyannote[2555].end 15479.19846875
transcript.pyannote[2556].speaker SPEAKER_24
transcript.pyannote[2556].start 15479.58659375
transcript.pyannote[2556].end 15483.41721875
transcript.pyannote[2557].speaker SPEAKER_24
transcript.pyannote[2557].start 15484.21034375
transcript.pyannote[2557].end 15484.88534375
transcript.pyannote[2558].speaker SPEAKER_24
transcript.pyannote[2558].start 15485.56034375
transcript.pyannote[2558].end 15486.62346875
transcript.pyannote[2559].speaker SPEAKER_24
transcript.pyannote[2559].start 15487.29846875
transcript.pyannote[2559].end 15490.43721875
transcript.pyannote[2560].speaker SPEAKER_19
transcript.pyannote[2560].start 15493.44096875
transcript.pyannote[2560].end 15494.43659375
transcript.pyannote[2561].speaker SPEAKER_24
transcript.pyannote[2561].start 15494.94284375
transcript.pyannote[2561].end 15497.50784375
transcript.pyannote[2562].speaker SPEAKER_24
transcript.pyannote[2562].start 15498.11534375
transcript.pyannote[2562].end 15513.57284375
transcript.pyannote[2563].speaker SPEAKER_24
transcript.pyannote[2563].start 15514.01159375
transcript.pyannote[2563].end 15532.50659375
transcript.pyannote[2564].speaker SPEAKER_24
transcript.pyannote[2564].start 15532.74284375
transcript.pyannote[2564].end 15539.07096875
transcript.pyannote[2565].speaker SPEAKER_24
transcript.pyannote[2565].start 15539.45909375
transcript.pyannote[2565].end 15540.06659375
transcript.pyannote[2566].speaker SPEAKER_24
transcript.pyannote[2566].start 15540.31971875
transcript.pyannote[2566].end 15546.39471875
transcript.pyannote[2567].speaker SPEAKER_24
transcript.pyannote[2567].start 15547.33971875
transcript.pyannote[2567].end 15551.08596875
transcript.pyannote[2568].speaker SPEAKER_24
transcript.pyannote[2568].start 15551.89596875
transcript.pyannote[2568].end 15553.68471875
transcript.pyannote[2569].speaker SPEAKER_24
transcript.pyannote[2569].start 15554.12346875
transcript.pyannote[2569].end 15554.96721875
transcript.pyannote[2570].speaker SPEAKER_24
transcript.pyannote[2570].start 15555.11909375
transcript.pyannote[2570].end 15559.13534375
transcript.pyannote[2571].speaker SPEAKER_19
transcript.pyannote[2571].start 15560.92409375
transcript.pyannote[2571].end 15572.75346875
transcript.pyannote[2572].speaker SPEAKER_19
transcript.pyannote[2572].start 15573.09096875
transcript.pyannote[2572].end 15578.11971875
transcript.pyannote[2573].speaker SPEAKER_19
transcript.pyannote[2573].start 15578.33909375
transcript.pyannote[2573].end 15592.46346875
transcript.pyannote[2574].speaker SPEAKER_19
transcript.pyannote[2574].start 15592.73346875
transcript.pyannote[2574].end 15608.25846875
transcript.pyannote[2575].speaker SPEAKER_19
transcript.pyannote[2575].start 15608.62971875
transcript.pyannote[2575].end 15613.27034375
transcript.pyannote[2576].speaker SPEAKER_24
transcript.pyannote[2576].start 15612.94971875
transcript.pyannote[2576].end 15626.51721875
transcript.pyannote[2577].speaker SPEAKER_24
transcript.pyannote[2577].start 15626.78721875
transcript.pyannote[2577].end 15633.25034375
transcript.pyannote[2578].speaker SPEAKER_19
transcript.pyannote[2578].start 15632.77784375
transcript.pyannote[2578].end 15634.97159375
transcript.pyannote[2579].speaker SPEAKER_31
transcript.pyannote[2579].start 15635.51159375
transcript.pyannote[2579].end 15635.56221875
transcript.pyannote[2580].speaker SPEAKER_24
transcript.pyannote[2580].start 15635.56221875
transcript.pyannote[2580].end 15635.61284375
transcript.pyannote[2581].speaker SPEAKER_31
transcript.pyannote[2581].start 15635.61284375
transcript.pyannote[2581].end 15636.00096875
transcript.pyannote[2582].speaker SPEAKER_31
transcript.pyannote[2582].start 15636.74346875
transcript.pyannote[2582].end 15637.43534375
transcript.pyannote[2583].speaker SPEAKER_31
transcript.pyannote[2583].start 15639.30846875
transcript.pyannote[2583].end 15642.34596875
transcript.pyannote[2584].speaker SPEAKER_36
transcript.pyannote[2584].start 15658.63034375
transcript.pyannote[2584].end 15659.54159375
transcript.pyannote[2585].speaker SPEAKER_15
transcript.pyannote[2585].start 15659.54159375
transcript.pyannote[2585].end 15659.65971875
transcript.pyannote[2586].speaker SPEAKER_32
transcript.pyannote[2586].start 15661.26284375
transcript.pyannote[2586].end 15662.24159375
transcript.pyannote[2587].speaker SPEAKER_15
transcript.pyannote[2587].start 15661.54971875
transcript.pyannote[2587].end 15663.72659375
transcript.pyannote[2588].speaker SPEAKER_32
transcript.pyannote[2588].start 15663.87846875
transcript.pyannote[2588].end 15665.46471875
transcript.pyannote[2589].speaker SPEAKER_15
transcript.pyannote[2589].start 15673.90221875
transcript.pyannote[2589].end 15684.68534375
transcript.pyannote[2590].speaker SPEAKER_15
transcript.pyannote[2590].start 15685.32659375
transcript.pyannote[2590].end 15692.02596875
transcript.pyannote[2591].speaker SPEAKER_15
transcript.pyannote[2591].start 15692.04284375
transcript.pyannote[2591].end 15694.16909375
transcript.pyannote[2592].speaker SPEAKER_15
transcript.pyannote[2592].start 15694.52346875
transcript.pyannote[2592].end 15696.26159375
transcript.pyannote[2593].speaker SPEAKER_15
transcript.pyannote[2593].start 15696.70034375
transcript.pyannote[2593].end 15698.89409375
transcript.pyannote[2594].speaker SPEAKER_15
transcript.pyannote[2594].start 15699.41721875
transcript.pyannote[2594].end 15708.00659375
transcript.pyannote[2595].speaker SPEAKER_15
transcript.pyannote[2595].start 15708.34409375
transcript.pyannote[2595].end 15710.75721875
transcript.pyannote[2596].speaker SPEAKER_15
transcript.pyannote[2596].start 15711.76971875
transcript.pyannote[2596].end 15715.58346875
transcript.pyannote[2597].speaker SPEAKER_15
transcript.pyannote[2597].start 15716.68034375
transcript.pyannote[2597].end 15717.40596875
transcript.pyannote[2598].speaker SPEAKER_15
transcript.pyannote[2598].start 15718.72221875
transcript.pyannote[2598].end 15721.74284375
transcript.pyannote[2599].speaker SPEAKER_13
transcript.pyannote[2599].start 15720.59534375
transcript.pyannote[2599].end 15721.01721875
transcript.pyannote[2600].speaker SPEAKER_00
transcript.pyannote[2600].start 15721.01721875
transcript.pyannote[2600].end 15721.03409375
transcript.pyannote[2601].speaker SPEAKER_15
transcript.pyannote[2601].start 15721.96221875
transcript.pyannote[2601].end 15723.54846875
transcript.pyannote[2602].speaker SPEAKER_15
transcript.pyannote[2602].start 15723.70034375
transcript.pyannote[2602].end 15724.93221875
transcript.pyannote[2603].speaker SPEAKER_15
transcript.pyannote[2603].start 15725.64096875
transcript.pyannote[2603].end 15728.07096875
transcript.pyannote[2604].speaker SPEAKER_15
transcript.pyannote[2604].start 15728.27346875
transcript.pyannote[2604].end 15730.11284375
transcript.pyannote[2605].speaker SPEAKER_15
transcript.pyannote[2605].start 15730.92284375
transcript.pyannote[2605].end 15732.62721875
transcript.pyannote[2606].speaker SPEAKER_15
transcript.pyannote[2606].start 15733.55534375
transcript.pyannote[2606].end 15735.25971875
transcript.pyannote[2607].speaker SPEAKER_15
transcript.pyannote[2607].start 15735.76596875
transcript.pyannote[2607].end 15738.68534375
transcript.pyannote[2608].speaker SPEAKER_15
transcript.pyannote[2608].start 15739.54596875
transcript.pyannote[2608].end 15741.58784375
transcript.pyannote[2609].speaker SPEAKER_15
transcript.pyannote[2609].start 15742.71846875
transcript.pyannote[2609].end 15746.14409375
transcript.pyannote[2610].speaker SPEAKER_15
transcript.pyannote[2610].start 15746.44784375
transcript.pyannote[2610].end 15748.16909375
transcript.pyannote[2611].speaker SPEAKER_15
transcript.pyannote[2611].start 15749.90721875
transcript.pyannote[2611].end 15753.99096875
transcript.pyannote[2612].speaker SPEAKER_15
transcript.pyannote[2612].start 15754.80096875
transcript.pyannote[2612].end 15761.11221875
transcript.pyannote[2613].speaker SPEAKER_15
transcript.pyannote[2613].start 15761.90534375
transcript.pyannote[2613].end 15762.42846875
transcript.pyannote[2614].speaker SPEAKER_15
transcript.pyannote[2614].start 15762.69846875
transcript.pyannote[2614].end 15770.29221875
transcript.pyannote[2615].speaker SPEAKER_34
transcript.pyannote[2615].start 15767.00159375
transcript.pyannote[2615].end 15767.23784375
transcript.pyannote[2616].speaker SPEAKER_06
transcript.pyannote[2616].start 15768.26721875
transcript.pyannote[2616].end 15768.43596875
transcript.pyannote[2617].speaker SPEAKER_15
transcript.pyannote[2617].start 15770.69721875
transcript.pyannote[2617].end 15778.40909375
transcript.pyannote[2618].speaker SPEAKER_15
transcript.pyannote[2618].start 15779.77596875
transcript.pyannote[2618].end 15780.99096875
transcript.pyannote[2619].speaker SPEAKER_15
transcript.pyannote[2619].start 15783.79221875
transcript.pyannote[2619].end 15785.44596875
transcript.pyannote[2620].speaker SPEAKER_15
transcript.pyannote[2620].start 15785.73284375
transcript.pyannote[2620].end 15789.71534375
transcript.pyannote[2621].speaker SPEAKER_08
transcript.pyannote[2621].start 15789.71534375
transcript.pyannote[2621].end 15789.86721875
transcript.pyannote[2622].speaker SPEAKER_15
transcript.pyannote[2622].start 15789.86721875
transcript.pyannote[2622].end 15789.90096875
transcript.pyannote[2623].speaker SPEAKER_08
transcript.pyannote[2623].start 15789.90096875
transcript.pyannote[2623].end 15789.95159375
transcript.pyannote[2624].speaker SPEAKER_08
transcript.pyannote[2624].start 15790.10346875
transcript.pyannote[2624].end 15801.03846875
transcript.pyannote[2625].speaker SPEAKER_08
transcript.pyannote[2625].start 15801.61221875
transcript.pyannote[2625].end 15803.99159375
transcript.pyannote[2626].speaker SPEAKER_15
transcript.pyannote[2626].start 15804.41346875
transcript.pyannote[2626].end 15805.52721875
transcript.pyannote[2627].speaker SPEAKER_08
transcript.pyannote[2627].start 15805.79721875
transcript.pyannote[2627].end 15808.29471875
transcript.pyannote[2628].speaker SPEAKER_08
transcript.pyannote[2628].start 15808.42971875
transcript.pyannote[2628].end 15812.73284375
transcript.pyannote[2629].speaker SPEAKER_15
transcript.pyannote[2629].start 15809.52659375
transcript.pyannote[2629].end 15810.40409375
transcript.pyannote[2630].speaker SPEAKER_08
transcript.pyannote[2630].start 15812.93534375
transcript.pyannote[2630].end 15815.93909375
transcript.pyannote[2631].speaker SPEAKER_08
transcript.pyannote[2631].start 15816.41159375
transcript.pyannote[2631].end 15816.78284375
transcript.pyannote[2632].speaker SPEAKER_08
transcript.pyannote[2632].start 15816.86721875
transcript.pyannote[2632].end 15817.03596875
transcript.pyannote[2633].speaker SPEAKER_15
transcript.pyannote[2633].start 15817.03596875
transcript.pyannote[2633].end 15817.05284375
transcript.pyannote[2634].speaker SPEAKER_08
transcript.pyannote[2634].start 15817.05284375
transcript.pyannote[2634].end 15817.13721875
transcript.pyannote[2635].speaker SPEAKER_15
transcript.pyannote[2635].start 15817.13721875
transcript.pyannote[2635].end 15817.96409375
transcript.pyannote[2636].speaker SPEAKER_08
transcript.pyannote[2636].start 15817.96409375
transcript.pyannote[2636].end 15818.55471875
transcript.pyannote[2637].speaker SPEAKER_08
transcript.pyannote[2637].start 15818.89221875
transcript.pyannote[2637].end 15821.30534375
transcript.pyannote[2638].speaker SPEAKER_08
transcript.pyannote[2638].start 15822.14909375
transcript.pyannote[2638].end 15827.86971875
transcript.pyannote[2639].speaker SPEAKER_15
transcript.pyannote[2639].start 15827.11034375
transcript.pyannote[2639].end 15841.23471875
transcript.pyannote[2640].speaker SPEAKER_08
transcript.pyannote[2640].start 15835.61534375
transcript.pyannote[2640].end 15836.05409375
transcript.pyannote[2641].speaker SPEAKER_00
transcript.pyannote[2641].start 15836.05409375
transcript.pyannote[2641].end 15836.07096875
transcript.pyannote[2642].speaker SPEAKER_13
transcript.pyannote[2642].start 15841.11659375
transcript.pyannote[2642].end 15841.38659375
transcript.pyannote[2643].speaker SPEAKER_15
transcript.pyannote[2643].start 15841.36971875
transcript.pyannote[2643].end 15844.32284375
transcript.pyannote[2644].speaker SPEAKER_15
transcript.pyannote[2644].start 15845.28471875
transcript.pyannote[2644].end 15849.99284375
transcript.pyannote[2645].speaker SPEAKER_08
transcript.pyannote[2645].start 15850.49909375
transcript.pyannote[2645].end 15855.64596875
transcript.pyannote[2646].speaker SPEAKER_08
transcript.pyannote[2646].start 15855.96659375
transcript.pyannote[2646].end 15857.02971875
transcript.pyannote[2647].speaker SPEAKER_08
transcript.pyannote[2647].start 15857.24909375
transcript.pyannote[2647].end 15861.48471875
transcript.pyannote[2648].speaker SPEAKER_15
transcript.pyannote[2648].start 15860.37096875
transcript.pyannote[2648].end 15864.67409375
transcript.pyannote[2649].speaker SPEAKER_08
transcript.pyannote[2649].start 15863.45909375
transcript.pyannote[2649].end 15867.28971875
transcript.pyannote[2650].speaker SPEAKER_15
transcript.pyannote[2650].start 15865.99034375
transcript.pyannote[2650].end 15867.91409375
transcript.pyannote[2651].speaker SPEAKER_08
transcript.pyannote[2651].start 15869.34846875
transcript.pyannote[2651].end 15873.04409375
transcript.pyannote[2652].speaker SPEAKER_15
transcript.pyannote[2652].start 15872.03159375
transcript.pyannote[2652].end 15877.36409375
transcript.pyannote[2653].speaker SPEAKER_08
transcript.pyannote[2653].start 15877.61721875
transcript.pyannote[2653].end 15879.64221875
transcript.pyannote[2654].speaker SPEAKER_08
transcript.pyannote[2654].start 15880.58721875
transcript.pyannote[2654].end 15880.60409375
transcript.pyannote[2655].speaker SPEAKER_15
transcript.pyannote[2655].start 15880.60409375
transcript.pyannote[2655].end 15881.73471875
transcript.pyannote[2656].speaker SPEAKER_08
transcript.pyannote[2656].start 15880.62096875
transcript.pyannote[2656].end 15881.04284375
transcript.pyannote[2657].speaker SPEAKER_15
transcript.pyannote[2657].start 15882.13971875
transcript.pyannote[2657].end 15894.28971875
transcript.pyannote[2658].speaker SPEAKER_15
transcript.pyannote[2658].start 15895.92659375
transcript.pyannote[2658].end 15896.97284375
transcript.pyannote[2659].speaker SPEAKER_15
transcript.pyannote[2659].start 15897.47909375
transcript.pyannote[2659].end 15898.05284375
transcript.pyannote[2660].speaker SPEAKER_15
transcript.pyannote[2660].start 15898.54221875
transcript.pyannote[2660].end 15903.55409375
transcript.pyannote[2661].speaker SPEAKER_15
transcript.pyannote[2661].start 15904.29659375
transcript.pyannote[2661].end 15906.23721875
transcript.pyannote[2662].speaker SPEAKER_15
transcript.pyannote[2662].start 15906.84471875
transcript.pyannote[2662].end 15909.39284375
transcript.pyannote[2663].speaker SPEAKER_15
transcript.pyannote[2663].start 15910.03409375
transcript.pyannote[2663].end 15910.33784375
transcript.pyannote[2664].speaker SPEAKER_15
transcript.pyannote[2664].start 15911.08034375
transcript.pyannote[2664].end 15912.76784375
transcript.pyannote[2665].speaker SPEAKER_15
transcript.pyannote[2665].start 15912.98721875
transcript.pyannote[2665].end 15913.44284375
transcript.pyannote[2666].speaker SPEAKER_15
transcript.pyannote[2666].start 15914.52284375
transcript.pyannote[2666].end 15920.88471875
transcript.pyannote[2667].speaker SPEAKER_15
transcript.pyannote[2667].start 15921.50909375
transcript.pyannote[2667].end 15925.87971875
transcript.pyannote[2668].speaker SPEAKER_15
transcript.pyannote[2668].start 15926.45346875
transcript.pyannote[2668].end 15927.53346875
transcript.pyannote[2669].speaker SPEAKER_15
transcript.pyannote[2669].start 15928.29284375
transcript.pyannote[2669].end 15932.20784375
transcript.pyannote[2670].speaker SPEAKER_15
transcript.pyannote[2670].start 15932.25846875
transcript.pyannote[2670].end 15933.13596875
transcript.pyannote[2671].speaker SPEAKER_15
transcript.pyannote[2671].start 15934.13159375
transcript.pyannote[2671].end 15937.06784375
transcript.pyannote[2672].speaker SPEAKER_15
transcript.pyannote[2672].start 15937.65846875
transcript.pyannote[2672].end 15940.08846875
transcript.pyannote[2673].speaker SPEAKER_15
transcript.pyannote[2673].start 15940.66221875
transcript.pyannote[2673].end 15941.47221875
transcript.pyannote[2674].speaker SPEAKER_15
transcript.pyannote[2674].start 15941.74221875
transcript.pyannote[2674].end 15944.39159375
transcript.pyannote[2675].speaker SPEAKER_15
transcript.pyannote[2675].start 15945.38721875
transcript.pyannote[2675].end 15947.36159375
transcript.pyannote[2676].speaker SPEAKER_15
transcript.pyannote[2676].start 15947.64846875
transcript.pyannote[2676].end 15948.72846875
transcript.pyannote[2677].speaker SPEAKER_15
transcript.pyannote[2677].start 15949.31909375
transcript.pyannote[2677].end 15950.61846875
transcript.pyannote[2678].speaker SPEAKER_15
transcript.pyannote[2678].start 15952.49159375
transcript.pyannote[2678].end 15955.49534375
transcript.pyannote[2679].speaker SPEAKER_08
transcript.pyannote[2679].start 15953.67284375
transcript.pyannote[2679].end 15953.90909375
transcript.pyannote[2680].speaker SPEAKER_08
transcript.pyannote[2680].start 15954.36471875
transcript.pyannote[2680].end 15960.05159375
transcript.pyannote[2681].speaker SPEAKER_08
transcript.pyannote[2681].start 15960.47346875
transcript.pyannote[2681].end 15961.85721875
transcript.pyannote[2682].speaker SPEAKER_15
transcript.pyannote[2682].start 15961.58721875
transcript.pyannote[2682].end 15968.64096875
transcript.pyannote[2683].speaker SPEAKER_15
transcript.pyannote[2683].start 15969.31596875
transcript.pyannote[2683].end 15970.19346875
transcript.pyannote[2684].speaker SPEAKER_15
transcript.pyannote[2684].start 15970.88534375
transcript.pyannote[2684].end 15977.80409375
transcript.pyannote[2685].speaker SPEAKER_08
transcript.pyannote[2685].start 15975.71159375
transcript.pyannote[2685].end 15976.08284375
transcript.pyannote[2686].speaker SPEAKER_15
transcript.pyannote[2686].start 15977.82096875
transcript.pyannote[2686].end 15977.87159375
transcript.pyannote[2687].speaker SPEAKER_08
transcript.pyannote[2687].start 15977.87159375
transcript.pyannote[2687].end 15978.36096875
transcript.pyannote[2688].speaker SPEAKER_31
transcript.pyannote[2688].start 15979.47471875
transcript.pyannote[2688].end 15980.25096875
transcript.pyannote[2689].speaker SPEAKER_31
transcript.pyannote[2689].start 15981.78659375
transcript.pyannote[2689].end 15987.92909375
transcript.pyannote[2690].speaker SPEAKER_01
transcript.pyannote[2690].start 16004.01096875
transcript.pyannote[2690].end 16009.64721875
transcript.pyannote[2691].speaker SPEAKER_32
transcript.pyannote[2691].start 16009.98471875
transcript.pyannote[2691].end 16011.06471875
transcript.pyannote[2692].speaker SPEAKER_08
transcript.pyannote[2692].start 16015.06409375
transcript.pyannote[2692].end 16015.13159375
transcript.pyannote[2693].speaker SPEAKER_01
transcript.pyannote[2693].start 16015.13159375
transcript.pyannote[2693].end 16015.53659375
transcript.pyannote[2694].speaker SPEAKER_01
transcript.pyannote[2694].start 16015.80659375
transcript.pyannote[2694].end 16016.65034375
transcript.pyannote[2695].speaker SPEAKER_01
transcript.pyannote[2695].start 16018.45596875
transcript.pyannote[2695].end 16020.56534375
transcript.pyannote[2696].speaker SPEAKER_01
transcript.pyannote[2696].start 16021.99971875
transcript.pyannote[2696].end 16042.82346875
transcript.pyannote[2697].speaker SPEAKER_08
transcript.pyannote[2697].start 16042.97534375
transcript.pyannote[2697].end 16053.31971875
transcript.pyannote[2698].speaker SPEAKER_01
transcript.pyannote[2698].start 16052.66159375
transcript.pyannote[2698].end 16053.45471875
transcript.pyannote[2699].speaker SPEAKER_08
transcript.pyannote[2699].start 16053.33659375
transcript.pyannote[2699].end 16060.71096875
transcript.pyannote[2700].speaker SPEAKER_01
transcript.pyannote[2700].start 16053.72471875
transcript.pyannote[2700].end 16054.97346875
transcript.pyannote[2701].speaker SPEAKER_01
transcript.pyannote[2701].start 16060.71096875
transcript.pyannote[2701].end 16063.39409375
transcript.pyannote[2702].speaker SPEAKER_08
transcript.pyannote[2702].start 16063.25909375
transcript.pyannote[2702].end 16063.36034375
transcript.pyannote[2703].speaker SPEAKER_08
transcript.pyannote[2703].start 16063.39409375
transcript.pyannote[2703].end 16068.22034375
transcript.pyannote[2704].speaker SPEAKER_01
transcript.pyannote[2704].start 16068.22034375
transcript.pyannote[2704].end 16109.73284375
transcript.pyannote[2705].speaker SPEAKER_01
transcript.pyannote[2705].start 16110.25596875
transcript.pyannote[2705].end 16230.65909375
transcript.pyannote[2706].speaker SPEAKER_01
transcript.pyannote[2706].start 16231.14846875
transcript.pyannote[2706].end 16237.25721875
transcript.pyannote[2707].speaker SPEAKER_01
transcript.pyannote[2707].start 16238.67471875
transcript.pyannote[2707].end 16252.30971875
transcript.pyannote[2708].speaker SPEAKER_01
transcript.pyannote[2708].start 16253.28846875
transcript.pyannote[2708].end 16259.78534375
transcript.pyannote[2709].speaker SPEAKER_01
transcript.pyannote[2709].start 16262.08034375
transcript.pyannote[2709].end 16268.17221875
transcript.pyannote[2710].speaker SPEAKER_01
transcript.pyannote[2710].start 16269.57284375
transcript.pyannote[2710].end 16277.55471875
transcript.pyannote[2711].speaker SPEAKER_01
transcript.pyannote[2711].start 16278.11159375
transcript.pyannote[2711].end 16278.70221875
transcript.pyannote[2712].speaker SPEAKER_01
transcript.pyannote[2712].start 16279.47846875
transcript.pyannote[2712].end 16330.62659375
transcript.pyannote[2713].speaker SPEAKER_19
transcript.pyannote[2713].start 16334.59221875
transcript.pyannote[2713].end 16360.59659375
transcript.pyannote[2714].speaker SPEAKER_01
transcript.pyannote[2714].start 16360.27596875
transcript.pyannote[2714].end 16367.70096875
transcript.pyannote[2715].speaker SPEAKER_08
transcript.pyannote[2715].start 16367.17784375
transcript.pyannote[2715].end 16384.55909375
transcript.pyannote[2716].speaker SPEAKER_01
transcript.pyannote[2716].start 16385.25096875
transcript.pyannote[2716].end 16431.42096875
transcript.pyannote[2717].speaker SPEAKER_19
transcript.pyannote[2717].start 16433.95221875
transcript.pyannote[2717].end 16446.32159375
transcript.pyannote[2718].speaker SPEAKER_01
transcript.pyannote[2718].start 16446.81096875
transcript.pyannote[2718].end 16451.75534375
transcript.pyannote[2719].speaker SPEAKER_31
transcript.pyannote[2719].start 16453.49346875
transcript.pyannote[2719].end 16454.32034375
transcript.pyannote[2720].speaker SPEAKER_31
transcript.pyannote[2720].start 16456.58159375
transcript.pyannote[2720].end 16458.53909375
transcript.pyannote[2721].speaker SPEAKER_37
transcript.pyannote[2721].start 16463.14596875
transcript.pyannote[2721].end 16468.57971875
transcript.pyannote[2722].speaker SPEAKER_32
transcript.pyannote[2722].start 16469.42346875
transcript.pyannote[2722].end 16470.31784375
transcript.pyannote[2723].speaker SPEAKER_37
transcript.pyannote[2723].start 16475.07659375
transcript.pyannote[2723].end 16475.09346875
transcript.pyannote[2724].speaker SPEAKER_08
transcript.pyannote[2724].start 16475.09346875
transcript.pyannote[2724].end 16475.44784375
transcript.pyannote[2725].speaker SPEAKER_37
transcript.pyannote[2725].start 16475.92034375
transcript.pyannote[2725].end 16478.87346875
transcript.pyannote[2726].speaker SPEAKER_08
transcript.pyannote[2726].start 16477.00034375
transcript.pyannote[2726].end 16477.03409375
transcript.pyannote[2727].speaker SPEAKER_13
transcript.pyannote[2727].start 16477.03409375
transcript.pyannote[2727].end 16477.10159375
transcript.pyannote[2728].speaker SPEAKER_08
transcript.pyannote[2728].start 16477.10159375
transcript.pyannote[2728].end 16477.43909375
transcript.pyannote[2729].speaker SPEAKER_37
transcript.pyannote[2729].start 16479.81846875
transcript.pyannote[2729].end 16481.92784375
transcript.pyannote[2730].speaker SPEAKER_37
transcript.pyannote[2730].start 16482.16409375
transcript.pyannote[2730].end 16488.10409375
transcript.pyannote[2731].speaker SPEAKER_37
transcript.pyannote[2731].start 16488.34034375
transcript.pyannote[2731].end 16488.79596875
transcript.pyannote[2732].speaker SPEAKER_37
transcript.pyannote[2732].start 16489.15034375
transcript.pyannote[2732].end 16497.72284375
transcript.pyannote[2733].speaker SPEAKER_37
transcript.pyannote[2733].start 16498.07721875
transcript.pyannote[2733].end 16500.62534375
transcript.pyannote[2734].speaker SPEAKER_37
transcript.pyannote[2734].start 16500.87846875
transcript.pyannote[2734].end 16550.40659375
transcript.pyannote[2735].speaker SPEAKER_08
transcript.pyannote[2735].start 16552.97159375
transcript.pyannote[2735].end 16554.94596875
transcript.pyannote[2736].speaker SPEAKER_08
transcript.pyannote[2736].start 16554.96284375
transcript.pyannote[2736].end 16559.11409375
transcript.pyannote[2737].speaker SPEAKER_37
transcript.pyannote[2737].start 16559.01284375
transcript.pyannote[2737].end 16561.66221875
transcript.pyannote[2738].speaker SPEAKER_08
transcript.pyannote[2738].start 16559.38409375
transcript.pyannote[2738].end 16572.78284375
transcript.pyannote[2739].speaker SPEAKER_37
transcript.pyannote[2739].start 16566.01596875
transcript.pyannote[2739].end 16569.82971875
transcript.pyannote[2740].speaker SPEAKER_37
transcript.pyannote[2740].start 16570.70721875
transcript.pyannote[2740].end 16570.99409375
transcript.pyannote[2741].speaker SPEAKER_37
transcript.pyannote[2741].start 16572.86721875
transcript.pyannote[2741].end 16611.03846875
transcript.pyannote[2742].speaker SPEAKER_08
transcript.pyannote[2742].start 16578.79034375
transcript.pyannote[2742].end 16579.92096875
transcript.pyannote[2743].speaker SPEAKER_08
transcript.pyannote[2743].start 16579.93784375
transcript.pyannote[2743].end 16579.97159375
transcript.pyannote[2744].speaker SPEAKER_08
transcript.pyannote[2744].start 16580.14034375
transcript.pyannote[2744].end 16581.00096875
transcript.pyannote[2745].speaker SPEAKER_37
transcript.pyannote[2745].start 16611.40971875
transcript.pyannote[2745].end 16651.26846875
transcript.pyannote[2746].speaker SPEAKER_37
transcript.pyannote[2746].start 16652.02784375
transcript.pyannote[2746].end 16655.82471875
transcript.pyannote[2747].speaker SPEAKER_37
transcript.pyannote[2747].start 16656.75284375
transcript.pyannote[2747].end 16660.48221875
transcript.pyannote[2748].speaker SPEAKER_19
transcript.pyannote[2748].start 16663.11471875
transcript.pyannote[2748].end 16673.39159375
transcript.pyannote[2749].speaker SPEAKER_00
transcript.pyannote[2749].start 16671.02909375
transcript.pyannote[2749].end 16671.77159375
transcript.pyannote[2750].speaker SPEAKER_19
transcript.pyannote[2750].start 16673.64471875
transcript.pyannote[2750].end 16683.98909375
transcript.pyannote[2751].speaker SPEAKER_37
transcript.pyannote[2751].start 16678.42034375
transcript.pyannote[2751].end 16678.85909375
transcript.pyannote[2752].speaker SPEAKER_37
transcript.pyannote[2752].start 16684.78221875
transcript.pyannote[2752].end 16734.71534375
transcript.pyannote[2753].speaker SPEAKER_00
transcript.pyannote[2753].start 16718.43096875
transcript.pyannote[2753].end 16719.32534375
transcript.pyannote[2754].speaker SPEAKER_37
transcript.pyannote[2754].start 16734.90096875
transcript.pyannote[2754].end 16782.03284375
transcript.pyannote[2755].speaker SPEAKER_37
transcript.pyannote[2755].start 16783.48409375
transcript.pyannote[2755].end 16784.64846875
transcript.pyannote[2756].speaker SPEAKER_37
transcript.pyannote[2756].start 16785.81284375
transcript.pyannote[2756].end 16792.29284375
transcript.pyannote[2757].speaker SPEAKER_37
transcript.pyannote[2757].start 16792.39409375
transcript.pyannote[2757].end 16794.06471875
transcript.pyannote[2758].speaker SPEAKER_19
transcript.pyannote[2758].start 16793.79471875
transcript.pyannote[2758].end 16793.84534375
transcript.pyannote[2759].speaker SPEAKER_18
transcript.pyannote[2759].start 16793.84534375
transcript.pyannote[2759].end 16795.75221875
transcript.pyannote[2760].speaker SPEAKER_19
transcript.pyannote[2760].start 16795.75221875
transcript.pyannote[2760].end 16795.88721875
transcript.pyannote[2761].speaker SPEAKER_37
transcript.pyannote[2761].start 16795.75221875
transcript.pyannote[2761].end 16796.00534375
transcript.pyannote[2762].speaker SPEAKER_18
transcript.pyannote[2762].start 16796.00534375
transcript.pyannote[2762].end 16796.19096875
transcript.pyannote[2763].speaker SPEAKER_18
transcript.pyannote[2763].start 16796.46096875
transcript.pyannote[2763].end 16836.58971875
transcript.pyannote[2764].speaker SPEAKER_37
transcript.pyannote[2764].start 16835.83034375
transcript.pyannote[2764].end 16848.18284375
transcript.pyannote[2765].speaker SPEAKER_18
transcript.pyannote[2765].start 16847.98034375
transcript.pyannote[2765].end 16854.93284375
transcript.pyannote[2766].speaker SPEAKER_37
transcript.pyannote[2766].start 16854.86534375
transcript.pyannote[2766].end 16907.58284375
transcript.pyannote[2767].speaker SPEAKER_37
transcript.pyannote[2767].start 16907.71784375
transcript.pyannote[2767].end 16908.20721875
transcript.pyannote[2768].speaker SPEAKER_37
transcript.pyannote[2768].start 16908.46034375
transcript.pyannote[2768].end 16919.88471875
transcript.pyannote[2769].speaker SPEAKER_37
transcript.pyannote[2769].start 16920.39096875
transcript.pyannote[2769].end 16922.28096875
transcript.pyannote[2770].speaker SPEAKER_31
transcript.pyannote[2770].start 16923.31034375
transcript.pyannote[2770].end 16925.06534375
transcript.pyannote[2771].speaker SPEAKER_31
transcript.pyannote[2771].start 16925.53784375
transcript.pyannote[2771].end 16930.75221875
transcript.pyannote[2772].speaker SPEAKER_31
transcript.pyannote[2772].start 16931.22471875
transcript.pyannote[2772].end 16939.03784375
transcript.pyannote[2773].speaker SPEAKER_31
transcript.pyannote[2773].start 16939.25721875
transcript.pyannote[2773].end 16941.01221875
transcript.pyannote[2774].speaker SPEAKER_31
transcript.pyannote[2774].start 16941.65346875
transcript.pyannote[2774].end 16943.20596875
transcript.pyannote[2775].speaker SPEAKER_31
transcript.pyannote[2775].start 16943.76284375
transcript.pyannote[2775].end 16963.40534375
transcript.pyannote[2776].speaker SPEAKER_31
transcript.pyannote[2776].start 16963.65846875
transcript.pyannote[2776].end 16979.85846875
transcript.pyannote[2777].speaker SPEAKER_31
transcript.pyannote[2777].start 16980.75284375
transcript.pyannote[2777].end 16985.73096875
transcript.pyannote[2778].speaker SPEAKER_31
transcript.pyannote[2778].start 16986.00096875
transcript.pyannote[2778].end 16986.76034375
transcript.pyannote[2779].speaker SPEAKER_31
transcript.pyannote[2779].start 16987.08096875
transcript.pyannote[2779].end 16995.41721875
transcript.pyannote[2780].speaker SPEAKER_31
transcript.pyannote[2780].start 16995.99096875
transcript.pyannote[2780].end 17003.33159375
transcript.pyannote[2781].speaker SPEAKER_31
transcript.pyannote[2781].start 17003.83784375
transcript.pyannote[2781].end 17006.20034375
transcript.pyannote[2782].speaker SPEAKER_31
transcript.pyannote[2782].start 17006.45346875
transcript.pyannote[2782].end 17006.77409375
transcript.pyannote[2783].speaker SPEAKER_31
transcript.pyannote[2783].start 17007.66846875
transcript.pyannote[2783].end 17016.73034375
transcript.pyannote[2784].speaker SPEAKER_30
transcript.pyannote[2784].start 17030.48346875
transcript.pyannote[2784].end 17032.55909375
transcript.pyannote[2785].speaker SPEAKER_32
transcript.pyannote[2785].start 17033.06534375
transcript.pyannote[2785].end 17034.49971875
transcript.pyannote[2786].speaker SPEAKER_30
transcript.pyannote[2786].start 17039.15721875
transcript.pyannote[2786].end 17045.08034375
transcript.pyannote[2787].speaker SPEAKER_08
transcript.pyannote[2787].start 17041.06409375
transcript.pyannote[2787].end 17041.13159375
transcript.pyannote[2788].speaker SPEAKER_32
transcript.pyannote[2788].start 17041.13159375
transcript.pyannote[2788].end 17041.63784375
transcript.pyannote[2789].speaker SPEAKER_15
transcript.pyannote[2789].start 17041.63784375
transcript.pyannote[2789].end 17041.65471875
transcript.pyannote[2790].speaker SPEAKER_30
transcript.pyannote[2790].start 17045.31659375
transcript.pyannote[2790].end 17047.86471875
transcript.pyannote[2791].speaker SPEAKER_30
transcript.pyannote[2791].start 17048.15159375
transcript.pyannote[2791].end 17055.47534375
transcript.pyannote[2792].speaker SPEAKER_13
transcript.pyannote[2792].start 17053.53471875
transcript.pyannote[2792].end 17054.76659375
transcript.pyannote[2793].speaker SPEAKER_13
transcript.pyannote[2793].start 17056.13346875
transcript.pyannote[2793].end 17057.24721875
transcript.pyannote[2794].speaker SPEAKER_30
transcript.pyannote[2794].start 17057.24721875
transcript.pyannote[2794].end 17062.17471875
transcript.pyannote[2795].speaker SPEAKER_08
transcript.pyannote[2795].start 17057.26409375
transcript.pyannote[2795].end 17057.48346875
transcript.pyannote[2796].speaker SPEAKER_13
transcript.pyannote[2796].start 17057.48346875
transcript.pyannote[2796].end 17057.50034375
transcript.pyannote[2797].speaker SPEAKER_08
transcript.pyannote[2797].start 17057.50034375
transcript.pyannote[2797].end 17057.53409375
transcript.pyannote[2798].speaker SPEAKER_13
transcript.pyannote[2798].start 17057.53409375
transcript.pyannote[2798].end 17057.71971875
transcript.pyannote[2799].speaker SPEAKER_08
transcript.pyannote[2799].start 17057.71971875
transcript.pyannote[2799].end 17058.76596875
transcript.pyannote[2800].speaker SPEAKER_30
transcript.pyannote[2800].start 17063.06909375
transcript.pyannote[2800].end 17063.96346875
transcript.pyannote[2801].speaker SPEAKER_08
transcript.pyannote[2801].start 17064.55409375
transcript.pyannote[2801].end 17064.97596875
transcript.pyannote[2802].speaker SPEAKER_30
transcript.pyannote[2802].start 17064.97596875
transcript.pyannote[2802].end 17065.68471875
transcript.pyannote[2803].speaker SPEAKER_08
transcript.pyannote[2803].start 17064.99284375
transcript.pyannote[2803].end 17065.04346875
transcript.pyannote[2804].speaker SPEAKER_08
transcript.pyannote[2804].start 17066.00534375
transcript.pyannote[2804].end 17069.61659375
transcript.pyannote[2805].speaker SPEAKER_08
transcript.pyannote[2805].start 17069.78534375
transcript.pyannote[2805].end 17071.60784375
transcript.pyannote[2806].speaker SPEAKER_30
transcript.pyannote[2806].start 17069.86971875
transcript.pyannote[2806].end 17072.45159375
transcript.pyannote[2807].speaker SPEAKER_08
transcript.pyannote[2807].start 17072.45159375
transcript.pyannote[2807].end 17075.89409375
transcript.pyannote[2808].speaker SPEAKER_30
transcript.pyannote[2808].start 17073.02534375
transcript.pyannote[2808].end 17073.48096875
transcript.pyannote[2809].speaker SPEAKER_30
transcript.pyannote[2809].start 17075.72534375
transcript.pyannote[2809].end 17086.13721875
transcript.pyannote[2810].speaker SPEAKER_30
transcript.pyannote[2810].start 17086.47471875
transcript.pyannote[2810].end 17093.93346875
transcript.pyannote[2811].speaker SPEAKER_30
transcript.pyannote[2811].start 17093.96721875
transcript.pyannote[2811].end 17095.75596875
transcript.pyannote[2812].speaker SPEAKER_30
transcript.pyannote[2812].start 17096.29596875
transcript.pyannote[2812].end 17099.04659375
transcript.pyannote[2813].speaker SPEAKER_19
transcript.pyannote[2813].start 17098.64159375
transcript.pyannote[2813].end 17099.58659375
transcript.pyannote[2814].speaker SPEAKER_30
transcript.pyannote[2814].start 17099.58659375
transcript.pyannote[2814].end 17101.94909375
transcript.pyannote[2815].speaker SPEAKER_19
transcript.pyannote[2815].start 17100.39659375
transcript.pyannote[2815].end 17100.95346875
transcript.pyannote[2816].speaker SPEAKER_19
transcript.pyannote[2816].start 17102.52284375
transcript.pyannote[2816].end 17103.77159375
transcript.pyannote[2817].speaker SPEAKER_30
transcript.pyannote[2817].start 17102.97846875
transcript.pyannote[2817].end 17104.36221875
transcript.pyannote[2818].speaker SPEAKER_19
transcript.pyannote[2818].start 17104.75034375
transcript.pyannote[2818].end 17106.08346875
transcript.pyannote[2819].speaker SPEAKER_30
transcript.pyannote[2819].start 17106.21846875
transcript.pyannote[2819].end 17108.46284375
transcript.pyannote[2820].speaker SPEAKER_19
transcript.pyannote[2820].start 17108.71596875
transcript.pyannote[2820].end 17110.82534375
transcript.pyannote[2821].speaker SPEAKER_30
transcript.pyannote[2821].start 17110.36971875
transcript.pyannote[2821].end 17129.65784375
transcript.pyannote[2822].speaker SPEAKER_30
transcript.pyannote[2822].start 17130.16409375
transcript.pyannote[2822].end 17130.63659375
transcript.pyannote[2823].speaker SPEAKER_30
transcript.pyannote[2823].start 17131.26096875
transcript.pyannote[2823].end 17132.25659375
transcript.pyannote[2824].speaker SPEAKER_30
transcript.pyannote[2824].start 17133.96096875
transcript.pyannote[2824].end 17137.92659375
transcript.pyannote[2825].speaker SPEAKER_30
transcript.pyannote[2825].start 17138.31471875
transcript.pyannote[2825].end 17139.04034375
transcript.pyannote[2826].speaker SPEAKER_30
transcript.pyannote[2826].start 17140.35659375
transcript.pyannote[2826].end 17140.79534375
transcript.pyannote[2827].speaker SPEAKER_30
transcript.pyannote[2827].start 17142.33096875
transcript.pyannote[2827].end 17150.11034375
transcript.pyannote[2828].speaker SPEAKER_30
transcript.pyannote[2828].start 17151.88221875
transcript.pyannote[2828].end 17152.54034375
transcript.pyannote[2829].speaker SPEAKER_30
transcript.pyannote[2829].start 17154.22784375
transcript.pyannote[2829].end 17161.34909375
transcript.pyannote[2830].speaker SPEAKER_30
transcript.pyannote[2830].start 17162.34471875
transcript.pyannote[2830].end 17163.08721875
transcript.pyannote[2831].speaker SPEAKER_19
transcript.pyannote[2831].start 17164.31909375
transcript.pyannote[2831].end 17178.73034375
transcript.pyannote[2832].speaker SPEAKER_30
transcript.pyannote[2832].start 17167.55909375
transcript.pyannote[2832].end 17168.04846875
transcript.pyannote[2833].speaker SPEAKER_19
transcript.pyannote[2833].start 17179.11846875
transcript.pyannote[2833].end 17187.01596875
transcript.pyannote[2834].speaker SPEAKER_19
transcript.pyannote[2834].start 17187.13409375
transcript.pyannote[2834].end 17187.91034375
transcript.pyannote[2835].speaker SPEAKER_30
transcript.pyannote[2835].start 17187.91034375
transcript.pyannote[2835].end 17225.08596875
transcript.pyannote[2836].speaker SPEAKER_30
transcript.pyannote[2836].start 17225.38971875
transcript.pyannote[2836].end 17240.32409375
transcript.pyannote[2837].speaker SPEAKER_30
transcript.pyannote[2837].start 17241.11721875
transcript.pyannote[2837].end 17243.17596875
transcript.pyannote[2838].speaker SPEAKER_19
transcript.pyannote[2838].start 17244.12096875
transcript.pyannote[2838].end 17251.14096875
transcript.pyannote[2839].speaker SPEAKER_30
transcript.pyannote[2839].start 17251.54596875
transcript.pyannote[2839].end 17253.38534375
transcript.pyannote[2840].speaker SPEAKER_19
transcript.pyannote[2840].start 17251.64721875
transcript.pyannote[2840].end 17251.74846875
transcript.pyannote[2841].speaker SPEAKER_19
transcript.pyannote[2841].start 17253.67221875
transcript.pyannote[2841].end 17263.74659375
transcript.pyannote[2842].speaker SPEAKER_19
transcript.pyannote[2842].start 17264.37096875
transcript.pyannote[2842].end 17266.31159375
transcript.pyannote[2843].speaker SPEAKER_30
transcript.pyannote[2843].start 17265.72096875
transcript.pyannote[2843].end 17267.81346875
transcript.pyannote[2844].speaker SPEAKER_30
transcript.pyannote[2844].start 17267.89784375
transcript.pyannote[2844].end 17267.93159375
transcript.pyannote[2845].speaker SPEAKER_19
transcript.pyannote[2845].start 17267.93159375
transcript.pyannote[2845].end 17268.47159375
transcript.pyannote[2846].speaker SPEAKER_30
transcript.pyannote[2846].start 17268.47159375
transcript.pyannote[2846].end 17275.12034375
transcript.pyannote[2847].speaker SPEAKER_19
transcript.pyannote[2847].start 17274.14159375
transcript.pyannote[2847].end 17279.40659375
transcript.pyannote[2848].speaker SPEAKER_30
transcript.pyannote[2848].start 17276.11596875
transcript.pyannote[2848].end 17276.75721875
transcript.pyannote[2849].speaker SPEAKER_30
transcript.pyannote[2849].start 17277.36471875
transcript.pyannote[2849].end 17278.61346875
transcript.pyannote[2850].speaker SPEAKER_30
transcript.pyannote[2850].start 17278.90034375
transcript.pyannote[2850].end 17308.63409375
transcript.pyannote[2851].speaker SPEAKER_30
transcript.pyannote[2851].start 17308.87034375
transcript.pyannote[2851].end 17314.70909375
transcript.pyannote[2852].speaker SPEAKER_30
transcript.pyannote[2852].start 17315.63721875
transcript.pyannote[2852].end 17316.97034375
transcript.pyannote[2853].speaker SPEAKER_30
transcript.pyannote[2853].start 17317.71284375
transcript.pyannote[2853].end 17367.64596875
transcript.pyannote[2854].speaker SPEAKER_30
transcript.pyannote[2854].start 17367.86534375
transcript.pyannote[2854].end 17380.97721875
transcript.pyannote[2855].speaker SPEAKER_30
transcript.pyannote[2855].start 17381.19659375
transcript.pyannote[2855].end 17391.08534375
transcript.pyannote[2856].speaker SPEAKER_30
transcript.pyannote[2856].start 17391.13596875
transcript.pyannote[2856].end 17395.47284375
transcript.pyannote[2857].speaker SPEAKER_30
transcript.pyannote[2857].start 17395.74284375
transcript.pyannote[2857].end 17404.90596875
transcript.pyannote[2858].speaker SPEAKER_30
transcript.pyannote[2858].start 17405.10846875
transcript.pyannote[2858].end 17406.18846875
transcript.pyannote[2859].speaker SPEAKER_30
transcript.pyannote[2859].start 17406.66096875
transcript.pyannote[2859].end 17418.23721875
transcript.pyannote[2860].speaker SPEAKER_30
transcript.pyannote[2860].start 17419.11471875
transcript.pyannote[2860].end 17422.06784375
transcript.pyannote[2861].speaker SPEAKER_30
transcript.pyannote[2861].start 17422.35471875
transcript.pyannote[2861].end 17425.79721875
transcript.pyannote[2862].speaker SPEAKER_30
transcript.pyannote[2862].start 17426.21909375
transcript.pyannote[2862].end 17427.70409375
transcript.pyannote[2863].speaker SPEAKER_30
transcript.pyannote[2863].start 17427.80534375
transcript.pyannote[2863].end 17430.97784375
transcript.pyannote[2864].speaker SPEAKER_13
transcript.pyannote[2864].start 17431.07909375
transcript.pyannote[2864].end 17431.99034375
transcript.pyannote[2865].speaker SPEAKER_30
transcript.pyannote[2865].start 17431.14659375
transcript.pyannote[2865].end 17431.16346875
transcript.pyannote[2866].speaker SPEAKER_30
transcript.pyannote[2866].start 17431.31534375
transcript.pyannote[2866].end 17439.07784375
transcript.pyannote[2867].speaker SPEAKER_31
transcript.pyannote[2867].start 17440.98471875
transcript.pyannote[2867].end 17443.95471875
transcript.pyannote[2868].speaker SPEAKER_31
transcript.pyannote[2868].start 17444.27534375
transcript.pyannote[2868].end 17446.43534375
transcript.pyannote[2869].speaker SPEAKER_31
transcript.pyannote[2869].start 17446.57034375
transcript.pyannote[2869].end 17449.08471875
transcript.pyannote[2870].speaker SPEAKER_31
transcript.pyannote[2870].start 17449.33784375
transcript.pyannote[2870].end 17450.33346875
transcript.pyannote[2871].speaker SPEAKER_31
transcript.pyannote[2871].start 17451.16034375
transcript.pyannote[2871].end 17464.33971875
transcript.pyannote[2872].speaker SPEAKER_19
transcript.pyannote[2872].start 17464.33971875
transcript.pyannote[2872].end 17468.08596875
transcript.pyannote[2873].speaker SPEAKER_31
transcript.pyannote[2873].start 17468.08596875
transcript.pyannote[2873].end 17470.66784375
transcript.pyannote[2874].speaker SPEAKER_31
transcript.pyannote[2874].start 17471.15721875
transcript.pyannote[2874].end 17479.15596875
transcript.pyannote[2875].speaker SPEAKER_31
transcript.pyannote[2875].start 17481.31596875
transcript.pyannote[2875].end 17481.68721875
transcript.pyannote[2876].speaker SPEAKER_31
transcript.pyannote[2876].start 17482.78409375
transcript.pyannote[2876].end 17507.80971875
transcript.pyannote[2877].speaker SPEAKER_31
transcript.pyannote[2877].start 17508.16409375
transcript.pyannote[2877].end 17511.13409375
transcript.pyannote[2878].speaker SPEAKER_35
transcript.pyannote[2878].start 17513.04096875
transcript.pyannote[2878].end 17513.46284375
transcript.pyannote[2879].speaker SPEAKER_35
transcript.pyannote[2879].start 17513.86784375
transcript.pyannote[2879].end 17517.37784375
transcript.pyannote[2880].speaker SPEAKER_31
transcript.pyannote[2880].start 17515.82534375
transcript.pyannote[2880].end 17523.18284375
transcript.pyannote[2881].speaker SPEAKER_33
transcript.pyannote[2881].start 17524.22909375
transcript.pyannote[2881].end 17525.78159375
transcript.whisperx[0].start 1527.952
transcript.whisperx[0].end 1554.99
transcript.whisperx[0].text 好 感謝 那現在交通委員會繼續開會首先介紹在場列席的官員交通部常務次長林國賢次長綜合規劃司張垂榮司長及公共運輸監理司胡迪奇司長行政司韓振華司長交通科技及資訊司呂文玉司長
transcript.whisperx[1].start 1559.285
transcript.whisperx[1].end 1584.96
transcript.whisperx[1].text 陸正吉道安司廖正遠副市長交通部公關署陳玉秀署長我們黃世芳副署長今天陳玉秀署長有點流感有點不舒服沒關係那等一下如果說有真的不舒服的地方或講話比較不方便那副署長就一起等下備詢的時候就一起上台好不好
transcript.whisperx[2].start 1585.913
transcript.whisperx[2].end 1614.025
transcript.whisperx[2].text 我發覺好像一開始沒有介紹委員的時候大家都不好意思鼓掌對不對來 自己幫自己鼓掌一下吧謝謝好 今天針對900萬國際旅客達標跟旅宿業缺工情形振興措施還有配合賴清德總統所提國家希望工程及觀光立國2030觀光造園產業目標達成的專案報告那我們首先先請列席機關報告請交通部林國賢次長報告
transcript.whisperx[3].start 1623.207
transcript.whisperx[3].end 1638.784
transcript.whisperx[3].text 趙偉 各位委員 各位女士 各位先生今天代表交通部致大便交通委員會報告900萬國際旅客達標情形及旅宿歇月缺工情形振興改善措施
transcript.whisperx[4].start 1639.525
transcript.whisperx[4].end 1655.762
transcript.whisperx[4].text 以及配合賴清德總統所提國家希望工程與觀光立國2030觀光造園產業等目標如何務實地達成首先對大運委員關切觀光及國家希望工程議題表達感謝之意
transcript.whisperx[5].start 1656.683
transcript.whisperx[5].end 1669.992
transcript.whisperx[5].text 交通部光屬在國際市場上積極的行銷飲客今年114年1到9月以來來臺的旅客數已經突破605萬人次較去年113年次同期成長9%
transcript.whisperx[6].start 1673.214
transcript.whisperx[6].end 1690.096
transcript.whisperx[6].text 那其中日本成長12%中國大陸成長62%美加成長10%及菲律賓成長35%表現亮眼為提升國際旅客來台的接待能量交通部觀光署積極的協助旅宿業舒緩缺工
transcript.whisperx[7].start 1691.037
transcript.whisperx[7].end 1719.017
transcript.whisperx[7].text 以爭取僑外生畢業後留台放寬僑外生來台旅館實習規定並積極與勞動部等相關部會研議放寬我國旅館業禁用外國技術人力的規定為了落實內總統國家希望工程的政見交通部持續以人本安全平權任性創新為核心來推動人本交通便捷台灣及觀光方案
transcript.whisperx[8].start 1719.798
transcript.whisperx[8].end 1738.275
transcript.whisperx[8].text 那希望能夠形成從通勤到觀光從城鄉到國際的整體交通服務跟產業升級的路徑那持續擴大對民眾的移動服務產業效能跟國家競爭力的提升並穩健提升來台旅客人士及旅宿的接待量能
transcript.whisperx[9].start 1738.976
transcript.whisperx[9].end 1756.335
transcript.whisperx[9].text 那積極能夠達到質量並濟的2030觀光造園產業那以下我分別請本部的綜合規劃師張師長垂龍及觀光署陳署長玉秀就這兩個議題向各位進行專案報告 進行各位委員指教
transcript.whisperx[10].start 1778.243
transcript.whisperx[10].end 1800.816
transcript.whisperx[10].text 主席 各位委員 各位女士 各位先生 以下就900萬國際旅客達標及旅宿業歇業缺工情形振興改善措施與配合賴總統所提國家希望工程觀光立國2030年觀光造業產業的目標如何務實達成等兩項議題進行報告在900萬國際旅客達標情形及旅宿業
transcript.whisperx[11].start 1807.379
transcript.whisperx[11].end 1822.046
transcript.whisperx[11].text 歇業缺工情形振興改善措施部分 在國際旅客達標情形部分 交通部 觀光署積極於國際市場行銷 飲客來台旅客市場穩健成長 初估
transcript.whisperx[12].start 1822.446
transcript.whisperx[12].end 1838.139
transcript.whisperx[12].text 今年1到9月來台旅客超過605萬人次較去年同期成長9%其中日本旅客成長12%較去年提早一個月突破百萬人次中國大陸部分成長62% 美加成長10%及菲律賓成長35%即將突破疫情前新高
transcript.whisperx[13].start 1846.466
transcript.whisperx[13].end 1864.74
transcript.whisperx[13].text 顯見來臺人次呈現穩步提升李樹葉歇業缺工情形振興改善措施為協助李樹葉舒緩缺工情形 交通部觀光署以媒合國人優先就業 鼓勵業者提高薪資待遇待遇吸引民眾投入李樹葉的意願
transcript.whisperx[14].start 1866.297
transcript.whisperx[14].end 1883.227
transcript.whisperx[14].text 也積極與勞動部等相關部會研議放寬我國旅館業禁用外籍人力的規定以協助抒反切工問題再配合賴總統所提國家希望工程與觀光立國2030觀光造園產業等目標如何務實達成部分
transcript.whisperx[15].start 1884.948
transcript.whisperx[15].end 1900.161
transcript.whisperx[15].text 國家希望工程是賴總統政見包括擴大社會投資減輕家庭負擔創新經濟智慧國家綠色成長與2050近鄰轉型等八項目標其中交通部負責統籌創新經濟智慧國家
transcript.whisperx[16].start 1903.604
transcript.whisperx[16].end 1923.596
transcript.whisperx[16].text 之人本交通便捷臺灣方案及厚實軟實力打造國家品牌之觀光方案說明如下在創新經濟智慧國家之人本交通便捷臺灣方案部分包含營造安全用路環境優化公共運輸系統保障移動作為權利
transcript.whisperx[17].start 1926.021
transcript.whisperx[17].end 1941.449
transcript.whisperx[17].text 等六項工作重點 以下緊急重要執行成果及未來推動重點說明如下 在營造安全用戶環境部分 重要執行成果包括透過中央補助型計畫資源及各地方政府自籌經費
transcript.whisperx[18].start 1942.99
transcript.whisperx[18].end 1972.319
transcript.whisperx[18].text 辦理改善行人措施 今年最新統計至8月底完成1728處入口行人安全設施改善及182.7公里人行道改善另外推動省道改善作業在114年度最新統計至9月底已經完成3850萬處的省道入口改善250處的省道入口照明設備以及63處路側的障礙物移除
transcript.whisperx[19].start 1972.859
transcript.whisperx[19].end 1989.856
transcript.whisperx[19].text 未來將持續推動人行環境建置作業省道路口及路段改善計畫 強化整體交通運輸安全在優化公共運輸系統保障移動作為前例部分 重要的執行成果統計至今年9月底 TPAS月票累計約1822萬餘人次加值購買 累計於
transcript.whisperx[20].start 1997.659
transcript.whisperx[20].end 2019.579
transcript.whisperx[20].text 超過13.9億人次使用 搭乘各類公共運具持續精進幸福巴士服務 全國偏鄉地區的公路運輸系統運輸涵蓋率達95%以上 協助各縣市推動市區公共公車電動化投入營運及已核定補助打造中的車輛共計4,021輛
transcript.whisperx[21].start 2023.682
transcript.whisperx[21].end 2045.791
transcript.whisperx[21].text 市區公車電動化比例為38.5%未來持續精進TPAS的政策推動公路公共運輸永續及交通平權計畫並持續協助各縣市推動電動公車其能在2030年市區公車全面電動化發展以及推動幸福巴士服務升級等
transcript.whisperx[22].start 2047.447
transcript.whisperx[22].end 2058.97
transcript.whisperx[22].text 在創新出發促進產業升級並提升勞動環境部分的重要執行成果包括完成會診及標準化的10種觀測項目的農業觀測站的觀測資料強化海氣向的資訊在農業領域的多元運用及服務例如農業與養殖區
transcript.whisperx[23].start 2072.031
transcript.whisperx[23].end 2084.182
transcript.whisperx[23].text 區域經濟預報及高解析度農業客製化預報等氣象資料並持續辦理114年度的航港產業數位轉型成果獎勵方案等受理申請
transcript.whisperx[24].start 2086.138
transcript.whisperx[24].end 2110.851
transcript.whisperx[24].text 鼓勵港口業者導入AI 物聯網 雲端大數據等科技應用 以提升作業效率 服務品質未來持續以不同的 以各級的縣市政府合作地區型的氣象應用服務 強化海氣象觀測與預報能力累積至少超過20家以上的業者合作氣象資源創新試用方案打造多元跨域應用與服務
transcript.whisperx[25].start 2111.932
transcript.whisperx[25].end 2131.392
transcript.whisperx[25].text 並持續鼓勵港港業者導入多元智慧化的服務促進港港產業數位轉型透過實質獎勵補助來協助港區業者導入數位化創新服務在幸福公路網建設部分重要的執行成果包括國道1號中港西橋改建工程
transcript.whisperx[26].start 2132.293
transcript.whisperx[26].end 2156.039
transcript.whisperx[26].text 於今年2月 於今年2月21日完工 國道3號銜接台66線增設系統交流道工程於今年3月30日完工 國道1號中沙大橋耐洪與耐震力提升改善工程暨西螺交流道穿越橋改建工程於今年5月6日完工淡江大橋在今年的9月16號主橋的
transcript.whisperx[27].start 2158.904
transcript.whisperx[27].end 2182.246
transcript.whisperx[27].text 鋼結構合攏 國道1號五股交流道改善工程北出紮道在10月27號辦理通車並持續辦理自行車的建置工程基隆道淡水之間已經累計超過45公里的自行車道改善及串聯工程未來持續推動公路建設及打造國際級的自行車道包括台九線
transcript.whisperx[28].start 2183.922
transcript.whisperx[28].end 2197.667
transcript.whisperx[28].text 花東公路的木瓜溪橋改善工程預計在10月31日完工 國道1號中峰交流道新建工程暨主線的改善工程將在今年12月通車
transcript.whisperx[29].start 2199.249
transcript.whisperx[29].end 2215.14
transcript.whisperx[29].text 而眾所矚目的淡江大橋基 聯絡道工程建設計畫預計在明年的5月通車在建立安全舒適的軌道網帶動繁榮便利的軌道生活圈部分重要的執行成果包括桃園捷運綠線的延伸到中壢
transcript.whisperx[30].start 2215.92
transcript.whisperx[30].end 2239.546
transcript.whisperx[30].text 完成經費的審議 跟續辦理細複作業中那行政院也核定了台南捷運第一期南線的綜合規劃未來要推動 持續推動花東地區鐵路雙軌電氣化計畫南回及台東線行政區域內的9座車站暫停改善設置工程以及高鐵增開班次持續提升運能
transcript.whisperx[31].start 2241.026
transcript.whisperx[31].end 2257.197
transcript.whisperx[31].text 並持續推動都會區的捷運建設台北捷運新義東延線及新北捷運三陰線工程預計將在明年完工通車在發展國際海空物流形塑亞太智慧運籌中心
transcript.whisperx[32].start 2258.058
transcript.whisperx[32].end 2286.677
transcript.whisperx[32].text 重要的執行成果包括擴大桃園機場大數據及AI技術的應用現正進行運量及航班資訊AI對話的服務機器人功能的開發測試未來目前也在持續推動永續航空燃油SAF的行動計畫完成國際航空公司添加SAF配航國際航線在海港部分高雄港第三貨櫃中心改建工程70號碼頭
transcript.whisperx[33].start 2288.438
transcript.whisperx[33].end 2310.668
transcript.whisperx[33].text 第一階段已經完工 在今年的6月底交付航商使用未來將持續的推動智慧機場 智慧物流等優化工程 完成桃園機場軟硬體的設施 深化SARS式型的計畫 提升我國航空減碳的
transcript.whisperx[34].start 2313.108
transcript.whisperx[34].end 2331.832
transcript.whisperx[34].text 今年預計將使用超過5900公噸的SARF因應船舶大型化的發展趨勢 持續辦理高雄港第三第五貨櫃中心的改建工程 擴大貨櫃處理量能 並推動台中港37號38號風電碼頭的興建工程 以提升臺灣離岸風場建置的量能
transcript.whisperx[35].start 2338.453
transcript.whisperx[35].end 2356.741
transcript.whisperx[35].text 在厚植軟實力打造國家品牌的觀光方案部分包括觀光立國二零三年觀光造園產業步步有觀光發展觀光主流化推動地方觀光資源整合平臺籌設臺灣觀光研訓院打造國家級智庫輔導觀光產業數數位化集在
transcript.whisperx[36].start 2364.031
transcript.whisperx[36].end 2382.692
transcript.whisperx[36].text 對等尊嚴互惠原則下推動兩岸交流發展多元觀光等六項工作重點分數如下在觀光立國2030觀光造園產業部分重要的執行成果包括執行Toyron 2025的觀光臺灣觀光邁向2025方案
transcript.whisperx[37].start 2386.076
transcript.whisperx[37].end 2395.326
transcript.whisperx[37].text 積極開拓國際級國旅市場在去年的觀光產值已經達到8378億元較112年成長超過9.5%未來推動JULIAN 2030的計畫預計整體觀光收入每年成長在2到3個百分點之間
transcript.whisperx[38].start 2407.56
transcript.whisperx[38].end 2425.021
transcript.whisperx[38].text 預計到119年達到兆元目標在部部有觀光發展觀光主流化部分主要的執行成果包括透過行政院觀光產業振興諮詢會議協調跨部會的觀光議題擴大部會合作如與經濟部國貿署合作
transcript.whisperx[39].start 2426.238
transcript.whisperx[39].end 2449.024
transcript.whisperx[39].text 順道觀光與原住民委員會合作部落觀光與內政部國家公園署合作北回之巔旗艦計畫等未來持續深化跨部會的合作推廣文化客庄園鄉農旅等多元主題打造臺灣觀光品牌形象在推動地方觀光資源整合平臺方面
transcript.whisperx[40].start 2449.524
transcript.whisperx[40].end 2460
transcript.whisperx[40].text 重要執行成果包括整合既有的18個觀光圈執行成果重新打造北中南東及3個離島澎湖金門馬祖計7個觀光
transcript.whisperx[41].start 2464.27
transcript.whisperx[41].end 2488.766
transcript.whisperx[41].text 計7個區域觀光圈打造區域觀光品牌未來持續強化區域觀光圈的國際景點周邊串聯展現區域特色及加強跨域合作擴大活動整合推動在地遊程帶動區域產業發展在籌設觀光研訓院打造國家級智庫部分籌設財團法人國家財團法人台灣觀光研訓院作為臺灣觀光研訓智庫及國際合作平臺
transcript.whisperx[42].start 2493.55
transcript.whisperx[42].end 2497.778
transcript.whisperx[42].text 並以115年掛牌成立為目標 落實觀光政策條件
transcript.whisperx[43].start 2499.666
transcript.whisperx[43].end 2525.145
transcript.whisperx[43].text 國際合作鏈結 產業地方 測鏡及人才培育認證等四大核心功能在輔導觀光產業數位化部分 透過觀光產業數位博覽會媒合觀光與資訊科技產業 擴大觀光產業數位化應用範圍 並持續輔導觀光產業導入智慧化設備或系統 促進觀光產業數位化 最後在對等尊嚴及互惠原則下
transcript.whisperx[44].start 2525.945
transcript.whisperx[44].end 2549.586
transcript.whisperx[44].text 推動兩岸交流發展多元觀光在兩岸觀光旅遊相關規劃及相關機關已經做好準備的前提下經由觀光小兩會就旅遊安全及旅行品質等事項進行協商未來持續在對等尊嚴及互惠原則下推動兩岸交流 結語
transcript.whisperx[45].start 2551.636
transcript.whisperx[45].end 2579.597
transcript.whisperx[45].text 本次專題報告 以人本交通便捷 臺灣與公共立國為雙主軸 回應國家工程的整體目標 在人本交通方面交通部將持續與以人本安全平權任性創新為核心推動六大主軸 營造安全的用路環境 優化公共運輸創新與勞動環境的升級 幸福公路往舒適便捷的軌道
transcript.whisperx[46].start 2580.7
transcript.whisperx[46].end 2596.129
transcript.whisperx[46].text 路網以及國際海空智慧運籌行程從通勤到觀光從城鄉到國際的整體交通服務產業升級路徑持續擴大民眾移動權產業效能與國家競爭力的中效
transcript.whisperx[47].start 2596.849
transcript.whisperx[47].end 2617.859
transcript.whisperx[47].text 在觀光面向部分 觀光署將持續關注美國關稅匯率波動及天災等影響事實調整行銷推廣策略與作為穩健提升來台旅客人次並提升旅宿接待的量能配合國家希望工程觀光面向的各項行動方案積極達成質量並進的2030觀光造園產業
transcript.whisperx[48].start 2624.588
transcript.whisperx[48].end 2642
transcript.whisperx[48].text 交通建設不只是里程的增加更是服務品質公平與韌性的提升觀光推動也不只是人次的成長更重視體驗價值與產業升級交通部將持續與地方政府產業與社會各界攜手可以驗證的也可以
transcript.whisperx[49].start 2643.308
transcript.whisperx[49].end 2668.76
transcript.whisperx[49].text 以可驗證的績效 務實的工作 工程與友善品質友善的服務 讓移動更安全轉乘更順暢 旅遊更美好實現人本交通 便捷台灣的共同願景敬請主席 各位委員 理事先生指教謝謝好 謝謝接下來再請交通部公共署陳玉秀署長報告
transcript.whisperx[50].start 2679.219
transcript.whisperx[50].end 2705.1
transcript.whisperx[50].text 主席 各位委員 各位女士 各位先生今天應邀列席貴委員會針對九百萬國際旅客達標情形及旅宿業歇業缺工情形振興改善措施以及觀光立國二零三零年觀光兆元產業等兩大議題進行專案報告以下請就重點說明敬請各位委員指教第一個項目是針對九百萬國際旅客達標的情形
transcript.whisperx[51].start 2706.361
transcript.whisperx[51].end 2723.879
transcript.whisperx[51].text 一個是國際旅客達表情形像目前來臺旅客的現況來臺旅客市場目前穩定的在成長依據內政部移民署今年初一百一十四年度一到九月份來臺旅客超過六百零五萬人次較去年同期成長九趴
transcript.whisperx[52].start 2724.76
transcript.whisperx[52].end 2745.795
transcript.whisperx[52].text 那其中呢日本已經突破12%中國大陸成長62%美加成長10%菲律賓更成長35%表現亮眼那第二是日本來臺人次的成長呢已經12%較去年同期間提早一個月突破百萬人次日本來臺市場持續性的穩定呢
transcript.whisperx[53].start 2746.715
transcript.whisperx[53].end 2772.224
transcript.whisperx[53].text 除了說一百一十四年度上半年陸續航班恢復之外呢觀光署在一百一十四年度市場宣傳推廣也顯見成效除了透過單元人觀光多項的多場的觀光推廣活動之外呢也跟旅營社合作促銷活動那在匯集在人潮匯集的地方刊登台灣的廣告有效提升台灣觀光在日本的曝光度
transcript.whisperx[54].start 2773.064
transcript.whisperx[54].end 2794.574
transcript.whisperx[54].text 那第三個東南亞市場免簽延長拓展助攻菲律賓來台將創新高菲律賓因為地理位置離臺灣比較近航程短航班多那及事辦免簽政策的延續所以今113年度呢菲律賓馬尼拉設置了服務分處深耕的市場積極行銷
transcript.whisperx[55].start 2796.215
transcript.whisperx[55].end 2812.282
transcript.whisperx[55].text 今年度菲律賓來臺人次成長動能就蠻強的預估到10月就可以超越去年的46.7萬人次11月份將超越疫情前的50.9萬人次再創新高
transcript.whisperx[56].start 2813.062
transcript.whisperx[56].end 2839.948
transcript.whisperx[56].text 那在新興市場方面我們也在推廣就是市場拓展跟推廣旗下來臺旅客成長有感印度跟紐澳市場受惠於也是觀光署設立了孟買及雪梨觀光服務分處那在整個行銷力道跟服務資訊服務量能的部分都能有相對的能見度今年度二月份迎來了印度市場最大的獎勵旅遊800人
transcript.whisperx[57].start 2841.789
transcript.whisperx[57].end 2848.418
transcript.whisperx[57].text 所以該兩個市場的成長幅度在今年都超過二位數那也超越疫情前同期的規模
transcript.whisperx[58].start 2849.608
transcript.whisperx[58].end 2871.676
transcript.whisperx[58].text 那在年底衝刺作為呢在東北亞的部分呢日本市場將透過大型的勸募活動像在今年十二月七號八號呢會有千人方天燈那預計會超過一千萬一千萬一千名旅客來台那同時間也還是會跟日本旅行業狹下的各項送客臺灣旅行社合作
transcript.whisperx[59].start 2872.356
transcript.whisperx[59].end 2893.852
transcript.whisperx[59].text 那同時有韓包機或者是跟國際航空公司進行break Friday促銷活動等等韓國市場呢則透過駐地的Korea Mice Expo2025年的旅展另外是跟韓國主要的OTA線上旅行社各組團旅行社還有Navia旅遊平臺的合作
transcript.whisperx[60].start 2894.692
transcript.whisperx[60].end 2915.532
transcript.whisperx[60].text 推出優惠限時折扣我們同時間在韓國節慶的時候登節宣傳2026年臺灣燈會在嘉義在東南亞市場目前第四屆已經規劃陸續跟航空公司證明的OTA或組團社還有像國際旅遊搜尋引擎合作積極訓練跟送客
transcript.whisperx[61].start 2916.372
transcript.whisperx[61].end 2935.994
transcript.whisperx[61].text 那今年在越南市场有跟当地最大的旅游生成平台LACA AI合作设置台湾专区这是今年的首创开发了台湾AI旅游专家透过释出台湾旅游商品折扣码吸引越南旅客来台
transcript.whisperx[62].start 2938.033
transcript.whisperx[62].end 2954.879
transcript.whisperx[62].text 並致於電競英雄聯盟太平洋職業競賽總決賽會場刊登我們的宣傳廣告那第三個是歐美的高端市場鼓勵一城多戰這個部分持續跟經濟部國貿局合作推動所謂的
transcript.whisperx[63].start 2956.98
transcript.whisperx[63].end 2975.732
transcript.whisperx[63].text 順道觀光補助的方案這個部分希望說鼓勵外國旅客來臺參加會展的同時延長停留時間同時順道旅遊活絡在地的經濟觀光跟消費這個部分114年度每人提供新臺幣2000最高每岸可以補助到60萬元
transcript.whisperx[64].start 2977.458
transcript.whisperx[64].end 2992.996
transcript.whisperx[64].text 那結合亞洲主要旅遊目的地打一程多站並針對過境跟轉機的旅客提供免費的行程那在與歐美知名且具會員流量的線上旅行社合作辦理促銷
transcript.whisperx[65].start 2994.017
transcript.whisperx[65].end 3010.213
transcript.whisperx[65].text 那最後一個是善用戶外的廣告今年度在拉斯維加斯的雙層巴士紐約的雙層巴士還有紐約Time Square的戶外3D都有做了我們大的一個戶外廣告那也全面提升臺灣的聲量跟知名度
transcript.whisperx[66].start 3011.174
transcript.whisperx[66].end 3032.337
transcript.whisperx[66].text 最後在我們做分眾行銷擴大的部分今年的休學旅行看起來是較過去有創新高114年度1月到7月日本來台休學旅行大概4314人已經較去年同期成長57%那今年到10月份已經收到學校申請的表件
transcript.whisperx[67].start 3033.118
transcript.whisperx[67].end 3048.149
transcript.whisperx[67].text 大概到年底前預計接大八十團超過一萬人三十團超過兩百人以上的團體這個部分就是所謂的我們講要培養未來重遊台灣的種子旅客今日的學子明日的旅人
transcript.whisperx[68].start 3049.33
transcript.whisperx[68].end 3065.816
transcript.whisperx[68].text 那在有關這個部分還有北客 南引 高鐵 馬易 宋鷹關烏署針對外籍的旅客推出了高鐵兩人同行一人免費只要在線上指定購買的旅遊目的地是台中以南的高鐵站第二人都是免費的
transcript.whisperx[69].start 3067.096
transcript.whisperx[69].end 3088.577
transcript.whisperx[69].text 這個部分今年1月到9月共吸引了161,550人國際旅客使用本次優惠是有效提升國際旅客前往中南部的意願第三個 臺灣國際觀光發展受外在影響很大 如美國的關稅 獲利率波動跟天災
transcript.whisperx[70].start 3089.939
transcript.whisperx[70].end 3110.399
transcript.whisperx[70].text 產業也面臨勞動力重建產品轉型數位應用跟永續發展多元的挑戰那觀光署會在國際推展上推展臺灣觀光的時候同時關注各項影響因此適時調整行銷策略與作為穩健提升來臺的旅客
transcript.whisperx[71].start 3112.369
transcript.whisperx[71].end 3131.456
transcript.whisperx[71].text 第二個報告有關呂素月缺工情形振興改善措施呂素月現在缺工的狀況大概在一百一十二年度委託調查結果有六千六百個缺口那一百一十四年度目前正在調查調查有新的項目新的人力需求
transcript.whisperx[72].start 3132.296
transcript.whisperx[72].end 3158.432
transcript.whisperx[72].text 那這個部分優先以本國勞工補足人力缺口光屬在一百一十二年到四月到一百一十三年度九月期間實施了補助旅宿業穩定接待國際旅客服務量能那只要是新聘房務跟清潔人員薪資符合連續六個月是可以申請五千元補助這個項目申請大概有兩千八百一十一人
transcript.whisperx[73].start 3159.392
transcript.whisperx[73].end 3178.341
transcript.whisperx[73].text 那第三個我們爭取喬萬生畢業留台是簡化了喬萬生點評制申請程序修改為勾選制這個部分對於說簡化為了業者留用喬萬生是有幫助的目前在截至114年多10月勞動部勞動部勞動力發展署合可是1153人
transcript.whisperx[74].start 3186.258
transcript.whisperx[74].end 3214.084
transcript.whisperx[74].text 開放畢業僑外生從事旅宿業的工作113年度起我們也官務署也辦理了在台僑外生從事旅宿業工作訓練課程80小時這個是非有利於非觀光科系的僑外生畢業後可以直接投入旅宿業服務工作那勞動部呢也在今年7月份開放企業自訓訓練地點跟時間更加彈性增加僑外生的意願
transcript.whisperx[75].start 3217
transcript.whisperx[75].end 3245.43
transcript.whisperx[75].text 放寬實習生的規定公署也在去年10月公告有關觀光旅館業及旅館業申請外國籍學生來台來中華民國實習要點那放寬實習學制已經是二分之一那在今年度7月更放寬科系的資格希望能吸引更多元的外籍生來我國實習
transcript.whisperx[76].start 3246.75
transcript.whisperx[76].end 3275.343
transcript.whisperx[76].text 以立旅館業者後續的招財目前共計申請1822名核准了1360人那最後配合勞動部演繹開放外國技術人力這個這個案子目前關於水晶提交擴大開放外國技術人力的評估報告及提案表給予勞動部勞動力發展所後續將配合勞動部政策配合政策辦理
transcript.whisperx[77].start 3276.994
transcript.whisperx[77].end 3294.286
transcript.whisperx[77].text 那針對配合賴清德總統所提的國家希望工程及觀光立國2030年觀光兆元產業的目標如何務實達成前面我們張司長已經有報告過我就稍微再簡略報告光屬在
transcript.whisperx[78].start 3295.547
transcript.whisperx[78].end 3313.519
transcript.whisperx[78].text 觀光署針對於2030年觀光造園產業我們是以永續韌性數位創新為發展主軸那積極希望說發展觀光產業數位化觀光資源整合平臺化跟觀光主流化其以質量並進擴大吸引國際旅客來臺
transcript.whisperx[79].start 3314.9
transcript.whisperx[79].end 3340.028
transcript.whisperx[79].text 提高來臺旅客的日均消費第二個是並強化國旅市場流速跟消費三是提升觀光產業取得永續認證的數量逐步實現2030年觀光產業達到兆元的目標下面的四個項目因為前面張司長已經也是有重點報告我是不是這邊我就直接略過謝謝
transcript.whisperx[80].start 3343.584
transcript.whisperx[80].end 3358.58
transcript.whisperx[80].text 那接下來是有關報告我們希望推動質量並進台灣觀光發展2025年台灣榮獲九項綠色目的地全球百大故事獎並於世界幸福報告排名領先亞洲多個國家
transcript.whisperx[81].start 3360.121
transcript.whisperx[81].end 3375.465
transcript.whisperx[81].text 臺灣美食美景自然好風俗民情及人民友善等多項優勢可信對文化生活品質更有高追求的高價值旅客並維護在地居民的幸福感及生活品質以致帶來實質的經濟效應
transcript.whisperx[82].start 3380.508
transcript.whisperx[82].end 3398.76
transcript.whisperx[82].text 臺灣觀光不以量為唯一的指標而是質量並進以質為核心以量為助力追求高品質的永續觀光發展觀光署已經納入兼顧人絲跟消費力的整體觀光收入以及取得永續環保認證之觀光產業家屬為指標
transcript.whisperx[83].start 3403.223
transcript.whisperx[83].end 3425.096
transcript.whisperx[83].text 展現落實永續觀光的決心最後 觀光署將持續掌握各客源市場設計環境條件目前旅遊市場恢復度 送客能量及未來潛力等資訊滾動檢討及調整各項行銷廣宣的措施全力吸引國際旅客來臺
transcript.whisperx[84].start 3427.158
transcript.whisperx[84].end 3450.751
transcript.whisperx[84].text 透過每年辦一次的旅宿人力調查持續掌握旅宿業勞動力供需的情形透過各項措施舒緩旅宿業的缺工情形並就旅宿業缺工議題與相關部會溝通持續整合中央跟地方觀光資源優化並共同行銷具在地特色的觀光景點與活動
transcript.whisperx[85].start 3451.711
transcript.whisperx[85].end 3463.917
transcript.whisperx[85].text 提高國旅流速跟消費並以質為核心量為助力達成質量並進的永續觀光發展以上報告敬請各位委員支持指教 謝謝好 謝謝
transcript.whisperx[86].start 3471.946
transcript.whisperx[86].end 3489.098
transcript.whisperx[86].text 那接下來開始進行詢答 先宣告以下事項1 詢答時間出席委員6加1分鐘 列席委員4分鐘2 委員發言登記請於10點30分以前截止3 各委員如有臨時提案請於10點前提出以便議事人員會診4 暫定10點30分休息5分鐘
transcript.whisperx[87].start 3507.847
transcript.whisperx[87].end 3525.129
transcript.whisperx[87].text 好 現在我們請登記第一位洪孟楷召委執行主席謝謝 麻煩請次長跟觀光署署長好 林次長還有陳署長
transcript.whisperx[88].start 3531.107
transcript.whisperx[88].end 3556.503
transcript.whisperx[88].text 好次長署長剛聽了快30分鐘這個美化的數字啦但我們還是要看一下實際的問題啊我先請教次長跟署長最近一次我們非公務的觀光旅遊是在哪邊國內還是國外去哪裡非公務啊非公務啊總是有放假嗎我們10月放了三次的三天連假有沒有出去走走
transcript.whisperx[89].start 3559.311
transcript.whisperx[89].end 3573.539
transcript.whisperx[89].text 國內嘛 國內 國內到處有啦 國外沒有 去了哪裡國內就是周邊山區周邊山區 沒有過夜連市長都不過夜了那我們怎麼有辦法帶動國旅 來 署長我們要負責孰運好 來 署長我上任之後應該沒有所謂自己的時間了應該是週六日都是公務行程好 那有在哪裡有去旅遊過夜過嗎
transcript.whisperx[90].start 3587.459
transcript.whisperx[90].end 3613.436
transcript.whisperx[90].text 最近是上個禮拜去台東台東OK好署長上任多久了6月27號到現在將近四個月四個月嘛好那其實本席今天為什麼會排這個專案報告我們重點還是要面對問題才能解決問題通篇沒有看到我們現在的問題如果說外國人或說一般不知道的人看到我們今天的報告還以為我們今天今年的觀光順差
transcript.whisperx[91].start 3615.888
transcript.whisperx[91].end 3638.823
transcript.whisperx[91].text 旺盛但事實是去年我們觀光逆差差了將近900萬人那到目前為止1到9月我們現在觀光逆差有多少目前的觀光逆差確實還是有在慢慢還是有在成長大概是1比2點多是吧現在有數字嗎
transcript.whisperx[92].start 3640.325
transcript.whisperx[92].end 3660.776
transcript.whisperx[92].text 來 現在觀光逆差有多少 現在大概是初入進差805萬人次805萬 對到幾月的時候 到9月底那我們去年差快將近900萬那今年現在到9月差了805萬那只剩最後3個月署長你是要創紀錄是不是
transcript.whisperx[93].start 3663.289
transcript.whisperx[93].end 3682.546
transcript.whisperx[93].text 創觀光逆差的紀錄去年已經快要900萬我們已經認為是說這是一個很大的警訊因為首次將近快900萬的觀光逆差那現在1到9月你跟我們講是說已經805萬了只差不到100萬就要突破去年的數字來 署長
transcript.whisperx[94].start 3684.981
transcript.whisperx[94].end 3702.3
transcript.whisperx[94].text 跟委員報告其實國人出國基本上也是對我們的收入是有幫助的所以現在又要再美化說這是什麼經濟表現亮眼所以我們有能力出國是好事不是第二個是說其實出國並不影響到他的國內旅遊
transcript.whisperx[95].start 3705.829
transcript.whisperx[95].end 3723.477
transcript.whisperx[95].text 會不影響國內旅遊是我們據我們調查研究我第一次聽到這個可能會算是一個創新的一個說法這個是我們一個同仁一個我們的連假三天連假五天連假只要有連假國人如果選擇沒有留在國內旅遊而是出國旅遊他就只會一次消費嘛
transcript.whisperx[96].start 3723.917
transcript.whisperx[96].end 3744.775
transcript.whisperx[96].text 那不是在國內留就在國外旅遊那為什麼大家不願意留在國內旅遊這是一個問題另外怎麼樣吸引更多觀光客過來台灣旅遊這是另外一個問題但很顯然你這兩個問題都沒有去面對問題解決問題啊來我先請教一下你認為四個月上任到目前為止國旅最大的問題在哪裡
transcript.whisperx[97].start 3748.044
transcript.whisperx[97].end 3774.185
transcript.whisperx[97].text 國旅其實大家不是沒有進行國旅像今年上半年的國旅呢就已經又超過去年只是現在目前國旅的問題他是不留宿他不留宿就是當日來回或區域發展是所以連次長他也都沒有去住宿嘛對不對好來我現在就問的是為什麼國人不留宿現在你上任四個月了也不是新手了那告訴我們國旅現在你看到最大的問題是什麼
transcript.whisperx[98].start 3775.868
transcript.whisperx[98].end 3795.52
transcript.whisperx[98].text 第一個台灣的交通真的也很方便這是第一個第二個呢確實國人也覺得我們的住宿費是比較貴的住宿比較貴對 住宿比較貴那第三個是因為國人是不太請假不太平日去旅遊所以我們的平日跟我們的週末日的
transcript.whisperx[99].start 3796.78
transcript.whisperx[99].end 3824.269
transcript.whisperx[99].text 住宿的部分相對的擁擠比如說週末日的住宿真的相對的擁擠平日就相對的比較比較少所以我們才會提明年度的計畫希望去解決平日大家來署長所以你也要感謝在野黨的委員真的要幫我們勞工爭取四家一天假不然就像你剛剛講的國人他也不願意請假的話你根本沒有時間來去做國旅來有沒有看到最近連假的時候
transcript.whisperx[100].start 3825.009
transcript.whisperx[100].end 3853.838
transcript.whisperx[100].text 有網路上很多針對國旅的討論包括說從機場看國旅真的是很慘說來臺灣都是轉機沒有真的留在臺灣的只有五位外國人剩下全部都轉機去其他國家再來有沒有看到最近也有看那個士林夜市有爆發那現在西門町商圈也有爆發說南韓的姐妹來臺灣旅遊點水果兩個水果被收取了830塊
transcript.whisperx[101].start 3856.089
transcript.whisperx[101].end 3883.696
transcript.whisperx[101].text 有沒有看到這新聞所以服務品質可能沒有辦法很佳然後再加上是說有一些不孝的業者我相信99%業者是良善的但有一些不孝業者如果說在這個時候還殺雞取卵故意坑殺這個外國觀光客那這樣很有可能就會造成我們台灣的印象不好那以及飯店還有突然提出來是說我要大家自備大浴巾
transcript.whisperx[102].start 3888.033
transcript.whisperx[102].end 3914.409
transcript.whisperx[102].text 來一次性的備品網路上大家也講就是說我們有出國的經驗國際現在也有針對節能減碳的提供備品的方式但是如同日本網友的留言以及旅遊的經驗就講說日本的很多旅店他可能是在一樓備品給大家自由領取而不是放在房間裡面你需要的人拿但現在台灣變成是在這一個一次性備品上面好像已經是
transcript.whisperx[103].start 3916.175
transcript.whisperx[103].end 3943.44
transcript.whisperx[103].text 動輒得救所以變成是說我現在全都不提供然後如果說有提供的話還要大家加價購買甚至還有旅店就直接講是說包裝水大浴巾我不提供然後網路上的批評說好像台灣很窮署長那現在又面臨到你剛剛給我們的一個數據到1到9月已經過了四分之三的年805萬的逆差那最後這一個月最後這三個月
transcript.whisperx[104].start 3944.568
transcript.whisperx[104].end 3973.377
transcript.whisperx[104].text 我們有辦法彌補這個逆差還是我們會持續的擴大我看起來很悲觀跟委員報告我台灣會一直持續的有出國的部分包含是我們現在出國相對的便宜因為匯率的關係所以這件事情在今年短時間我覺得應該還是會往前這樣走的所以改善不了所以現在觀光署署長已經告訴我們就是今年觀光一定是逆差
transcript.whisperx[105].start 3974.778
transcript.whisperx[105].end 3987.891
transcript.whisperx[105].text 然後原因是因為我們現在匯率那沒有相對日本來講我們匯率是相對比較高是因為日本匯率低可是相對其他的國家我們其實沒有比較優勢但是我們出國便宜
transcript.whisperx[106].start 3990.186
transcript.whisperx[106].end 4018.283
transcript.whisperx[106].text 妳講什麼不是 我是說因為這樣的關係所以像台灣跟台幣跟日幣比的話所以台灣還是跑日本跑得很多的原因是因為這樣所以我們到最後今天的討論重點我今天排的這專案報告就到最後重點是我們怪因為日本的匯率太低台灣人喜歡日本所以我們雙手一攤那這樣交通部觀光署就不用升格啦之前觀光局就好啦觀光局的時候我們利差還沒有那麼多耶
transcript.whisperx[107].start 4022.264
transcript.whisperx[107].end 4033.282
transcript.whisperx[107].text 不是 我覺得今天我對事不對人我知道你身體不舒服但我看到這個專案報告之後我覺得沒有辦法接受的是我們通篇都在美化數字耶
transcript.whisperx[108].start 4034.994
transcript.whisperx[108].end 4054.897
transcript.whisperx[108].text 好像我們活在不同的時空環境好像網路上的討論跟國旅對於國旅的抱怨或是國旅的我們的期待跟要求我們沒有任何一個官員有看到這樣的一個事實然後結果給我們這個報告你今天這個報告在奇文共賞一下如果說放在網路上我覺得大家會更生氣跟難過
transcript.whisperx[109].start 4057.574
transcript.whisperx[109].end 4085.845
transcript.whisperx[109].text 大家都知道國旅的問題結果沒有一個報告今天我特別排了一個專案報告今天八個委員會裡面有三個委員會質詢而已為什麼要那麼認真就是我們認為是說這個東西跟民生消費有很大關係飯店旅遊住宿觀光餐飲運輸業者都是我們的民生消費能夠帶動好那才是最重要但就你們今天通篇美化文章
transcript.whisperx[110].start 4087.264
transcript.whisperx[110].end 4090.483
transcript.whisperx[110].text 好棒棒我只是要沒有要求大家跟你們拍手
transcript.whisperx[111].start 4096.348
transcript.whisperx[111].end 4119.257
transcript.whisperx[111].text 委員我們沒有不關心國旅的部分 署長你今天的報告就是讓大家沒有看到你看到問題跟試圖想要解決問題的誠意跟態度我覺得這才是問題 委員我們光看到今年上半年跟下半年的連續假期因為今年下半年連續假期也多那今年上半年的連續假期的住房率大概在49%
transcript.whisperx[112].start 4120.818
transcript.whisperx[112].end 4139.947
transcript.whisperx[112].text 那今年下半年的住房率呢現在是在58%是有成長9%所以我認為這件事情是有在Getting better的要用這種冷冰冰的數字喔那我剛就一開始我開宗明義就講了就是今年的觀光逆差就是805萬
transcript.whisperx[113].start 4142.138
transcript.whisperx[113].end 4156.867
transcript.whisperx[113].text 會看起來會超過去年的觀光逆差會不會突破千萬不知道但這對於台灣觀光來講這絕對不是一個光榮的數字最後我只請教那個缺工的問題之前5月就已經講就說
transcript.whisperx[114].start 4158.968
transcript.whisperx[114].end 4184.376
transcript.whisperx[114].text 旅宿業要開放移工但是一直沒有問到詳細的狀況結果我們今天排了這個專案報告之後馬上今天行政院會就說要通過中階勞工開放能夠旅宿業怎麼那麼巧之前我們要問資料這個都問不到那結果現在我排了一個專案報告馬上今天同時間行政院會就通過這一條
transcript.whisperx[115].start 4189.011
transcript.whisperx[115].end 4213.407
transcript.whisperx[115].text 是心電感應不是五月的時候是不是就講了那時候你還不是署長五月的時候前任署長來那時候就說要研議跟勞動部最快速度辦理我們那時候也講說那你要先照顧本國勞工真的沒有辦法你要開放要適度的開放並且你的辦法措施什麼都要出來結果過去這四五個月要問問資料問不到勞動部問不到
transcript.whisperx[116].start 4215.39
transcript.whisperx[116].end 4243.004
transcript.whisperx[116].text 就說研議中研議中就今天排這個專案報告就那麼巧行政院同時間就說今天行政院會要通過那我請教現在要開放主會中階勞工他的範圍是什麼中階勞工的定義是什麼他的範圍未來他是協助旅宿業的房屋housecleaningroomservice房屋跟清潔櫃檯有沒有
transcript.whisperx[117].start 4246.325
transcript.whisperx[117].end 4260.411
transcript.whisperx[117].text 櫃檯沒有櫃檯沒有在房屋裡面確定因為我之前有看到資料是說櫃檯有包括我想要確認是說未來開放之後有沒有會不會我們國人去國旅以後看到我們check in的同仁櫃檯是外籍人士來服務可以請同事補充說明嗎中介技術人力的部分你看我覺得這
transcript.whisperx[118].start 4274.557
transcript.whisperx[118].end 4300.583
transcript.whisperx[118].text 這就最大問題就過去我們想要請教說你的辦法到底是什麼勞動部推觀光交通部推勞動部然後沒有給我們相關資料然後我真的排了專案報告之後今天行政院就說他要通過了然後現在照理講通過了你們應該有準備你們應該計畫已經成熟了可以一起來講跟委員補充報告剛剛再更新一下就是櫃台跟餐飲也有所以有四個項目
transcript.whisperx[119].start 4305.364
transcript.whisperx[119].end 4308.619
transcript.whisperx[119].text 30秒前你跟我講沒有我沒有掌握
transcript.whisperx[120].start 4310.322
transcript.whisperx[120].end 4337.859
transcript.whisperx[120].text 那這方案到底有沒有保障我們本國勞工有會不會30秒後遊跟我講沒有這個來來回回因為開了很多次會議然後我們就是因為開了很多次會議所以說本席也想要問相關資料但問不到那還有更重要的是你們今天到現在為止到底掌握多少以及旅宿業到底知不知道說你今天開放的動作是什麼還有我們勞動團體勞工團體知不知道說開放東西是什麼
transcript.whisperx[121].start 4344.269
transcript.whisperx[121].end 4372.243
transcript.whisperx[121].text 會後請今天也已經宣布了會後給本席相關的資料以及你們要怎麼樣跟所有的旅宿業者在座溝通還有掌握未來我們的本土勞工因為本席看到新聞資料是說你們是一聘一這是新聞資料從新聞資料看到我們立法委員要質詢居然是要從新聞資料才看到這個新聞
transcript.whisperx[122].start 4374.554
transcript.whisperx[122].end 4394.115
transcript.whisperx[122].text 你們是一聘一本勞有一個你們才可以聘一個外勞而且是中介勞工但是他服務範圍到底是什麼以及未來會不會我們的國旅遇到的這個check in的人員是外籍人員那還有這樣有沒有辦法真真正正能夠如同你剛剛講的問題核心房屋的價格
transcript.whisperx[123].start 4397.352
transcript.whisperx[123].end 4423.627
transcript.whisperx[123].text 羊毛出在羊身上但如果說我們政府都已經協助做專案了能夠來降低他的人力成本不要再抱怨缺工了那房價還是一個晚上那麼的高定在那邊讓大家覺得是說我與其不如我就出國玩了那這樣國旅只會越來越慘這都環環相扣的本席對是不對人但是專題報告要的就是你們面對問題解決問題不是美化
transcript.whisperx[124].start 4424.793
transcript.whisperx[124].end 4437.977
transcript.whisperx[124].text 你要化妝的話回家化妝不用來國會殿堂化妝謝謝好謝謝洪孟楷召委的執行好
transcript.whisperx[125].start 4452.35
transcript.whisperx[125].end 4480.279
transcript.whisperx[125].text 剛剛上一位委員發言比較激動我們還是希望交通委員會是平和的我們大家好好的來溝通問題不過真的請我們今天列席的官員都要注意人民的感受最深刻絕對不是冷冰冰的數字人民的感受才是一切尤其觀光是新的服務觀光是新的政策推動好 謝謝 接下來再請林國成委員自選
transcript.whisperx[126].start 4490.523
transcript.whisperx[126].end 4514.931
transcript.whisperx[126].text 謝謝主席請我們林國賢 林政次好 政次請那個那個署長是不舒服是吧 陳署長你不舒服 來 黃副署長起來 但是署長你要聽喔署長之前有跟本席報告他流感所以這幾天比較不舒服沒關係啦但是因為決策還是你要負責還是要聽一下好
transcript.whisperx[127].start 4520.35
transcript.whisperx[127].end 4533.33
transcript.whisperx[127].text 市長你們的報告我都看了每年的報告都差不多了跟你們講這些政策也沒有用每一個立法院一直在談一直在談從
transcript.whisperx[128].start 4535.58
transcript.whisperx[128].end 4551.752
transcript.whisperx[128].text 近來觀光的人數從1200到1000又下降900一直降 一直降但是這裡面有凸顯一個問題也就是我們出國的人數
transcript.whisperx[129].start 4553.16
transcript.whisperx[129].end 4576.877
transcript.whisperx[129].text 上次我已經講過 為什麼他不回來為什麼他不想來 問題就是因為他不能去吸引他再回來的感覺所以為什麼我們的國人都要出國去說實在的 你們還敢講什麼希望工程 光光立國說實在的 這不要再講了 什麼光光立國
transcript.whisperx[130].start 4578.874
transcript.whisperx[130].end 4594.588
transcript.whisperx[130].text 都沒有一個基礎然後沒有一個創新那怎麼會去光光立果呢好 所以我常主張這樣啦因為當然因為署長也剛上任了幾個月那說實在的
transcript.whisperx[131].start 4596.206
transcript.whisperx[131].end 4614.899
transcript.whisperx[131].text 苛責你們也沒有什麼意義但是最起碼的話民意代表就是要提醒你們在觀光如何去做改進跟如何去做精進這是非常重要的所以我特別強調任何事情
transcript.whisperx[132].start 4616.747
transcript.whisperx[132].end 4642.94
transcript.whisperx[132].text 小問題解決大問題就沒有可是問題現在我們小問題都沒有辦法解決當然是有大問題嘛所以你像剛才我們洪孟楷 昭緯所講的這是1比1或者5比1我跟你講喔如果我們觀光業的這些移工是1比1我坦白跟你講勞工絕對是抗議你們的
transcript.whisperx[133].start 4644.52
transcript.whisperx[133].end 4670.577
transcript.whisperx[133].text 因為營造業是一個國家建設這麼重要他都沒有一比一他都沒有一比一所以這個我在想特別陳署長還有黃副署長要特別去注意該爭取的還是要爭取適度事辦讓他們可以引進但是是在保障勞工的情況之下
transcript.whisperx[134].start 4671.317
transcript.whisperx[134].end 4696.935
transcript.whisperx[134].text 要去做適度的調整這個是合情合理那如果是一比一我認為是比例太高這個我要特別提供給各位來做參考好來我要談這些當然看起來也就是我們理管業的管理辦法也就是一定要去管理不要以為這是小事就是很簡單就是
transcript.whisperx[135].start 4701.072
transcript.whisperx[135].end 4722.413
transcript.whisperx[135].text 過境就不管如同去縱容所以你知不知道在台中裡面我們消保處集合21家的旅館業只有11家只有11家在緩真空管理的部分合格
transcript.whisperx[136].start 4723.567
transcript.whisperx[136].end 4735.397
transcript.whisperx[136].text 其他都不合格可是你們檢查21家都是不合格請問一下在這個部分你們怎麼做管理來黃副署長你們做什麼管理
transcript.whisperx[137].start 4737.171
transcript.whisperx[137].end 4760.273
transcript.whisperx[137].text 這部分有跟縣市政府合作後續可能部分我們針對於稽核的部分去加強因為有些市長是合作的部分或許他們在稽核的部分做得不好有發現這個問題我想我們這個頻率的部分後續可以來加強好啦黃副市長還有林市長我要坦白跟你講你們不是有每一年要離管業的考評嗎
transcript.whisperx[138].start 4761.687
transcript.whisperx[138].end 4789.997
transcript.whisperx[138].text 你們都不把這一項把它放進去他怎麼會去認真做啦所以這個就很簡單你們的考評制度裡面就有瑕疵你要他們做的就把它放在這裡你這裡不能得到五分不能得到三分我最起碼的話我就是給你扣分那你扣分的時候因為旅館業不管怎麼樣在整個國際裡面他還是需要你們的認證啊
transcript.whisperx[139].start 4791.949
transcript.whisperx[139].end 4814.528
transcript.whisperx[139].text 所以這個部分 市長你的看法怎麼樣報委員非常認同那基本上這個反政統管理應該是每個旅館大小旅館都要做的事情所以我想跟您報告交通部應該會要求各個旅館都要執行反政統管理然後由觀光署來跟縣市政府做稽查集合的動作才行
transcript.whisperx[140].start 4815.048
transcript.whisperx[140].end 4838.65
transcript.whisperx[140].text 因為隱私錢嘛這個不是只有針對有什麼其他的想法最起碼人在隱私錢尤其是單身女性進了那個旅館或民宿她在住宿的時候說實在的她的隱私非常重要那為什麼我們行政單位我們可以做得到為什麼
transcript.whisperx[141].start 4839.591
transcript.whisperx[141].end 4866.279
transcript.whisperx[141].text 不做所以我建議我也同意市長就是慢慢把它改進納入正軌我想在督導會比較好一點另外就是因為人數的問題剛剛宏昭召委已經講得很清楚也就是大家喜歡出國入境的很少我們出境到9月底我想我的數據是你們給我的我們出境是1000多萬人
transcript.whisperx[142].start 4869.332
transcript.whisperx[142].end 4888.357
transcript.whisperx[142].text 可是入境只有400多萬人那為什麼這個嫌疏會這麼大當然不要講國際的匯率問題等等這個都是在騙自己啦我們就是要檢討因為我們就是沒有辦法讓所有人又牽涉到整個政策這個對岸
transcript.whisperx[143].start 4891.118
transcript.whisperx[143].end 4908.408
transcript.whisperx[143].text 你也沒有要開放讓他們觀光所以等等這些當然做起來就會很困難那我也希望我們要去注意到這個問題注意到這個問題所以另外一個也就是特別這個房價的問題我發現到房價的問題
transcript.whisperx[144].start 4911.73
transcript.whisperx[144].end 4936.902
transcript.whisperx[144].text 當然啦 因為最近這個演唱會的產業不管是台北也好 高雄也好大家都在拼嘛大家在拼產業嘛那這個我們當然要肯定它啦兩邊的政府不管是台北市政府或者高雄市政府這個是一件好事也可以促進觀光這個我們基本上我們是全力支持但是不要忘了也就是我們這裡有一個問題 下一張
transcript.whisperx[145].start 4939.773
transcript.whisperx[145].end 4960.263
transcript.whisperx[145].text 你看一看房價豐台到十倍把所有旅客當成盤子來看一下我們到底在這個部分你看有幾家只要演唱會他十倍的禮會接下來
transcript.whisperx[146].start 4961.707
transcript.whisperx[146].end 4988.287
transcript.whisperx[146].text 也有9.8說實在的像這種東西不是在坑這些消費者嗎人家去消費看演唱會你們這些我跟你講這些只有台北市我想高雄也有但是我數據裡面是台北市來黃副署長陳署長你們看一下這個怎麼管理這個怎麼管理
transcript.whisperx[147].start 4990.619
transcript.whisperx[147].end 5006.811
transcript.whisperx[147].text 這部分我們有關房價是有如果超過核定房價被我們結合出來的部分是有相關的房價本來原來原來是1240塊那假日他稍微調升一下是3695塊這很奇怪演唱會就變成13838塊請問一下有沒有超過你們的限定的價錢 有沒有
transcript.whisperx[148].start 5021.187
transcript.whisperx[148].end 5043.793
transcript.whisperx[148].text 各旅館的部分它的合訂房價並沒有一致但如果有查到就是超過合訂房價因為平日的房價可能是他有打折沒有啦 黃副市長 陳副市長有立法委員質疑這些事情你們叫做有所作為一定要去下所有公文拜託地方政府轉達這些這個叫做
transcript.whisperx[149].start 5046.934
transcript.whisperx[149].end 5075.188
transcript.whisperx[149].text 誠信的欺騙老百姓欺騙消費者這是違反公平教育法有演唱會他就是這樣這對消費者是沒有保障你想一想既然這麼小的問題我們的管理不好請問一下我們如何去推觀光立國啊所以我要拜託我們觀光署雖然這些自由市場但是千萬要保障消費者
transcript.whisperx[150].start 5076.161
transcript.whisperx[150].end 5099.04
transcript.whisperx[150].text 所以你不能因為為了這些演唱會的產業結果房間訂不到沒有關係但是你有稍微調價是在合理調價範圍你不能把人家當成凱智嘛所以這是對人民對消費者是沒有保障的所以我要拜託我們
transcript.whisperx[151].start 5100.342
transcript.whisperx[151].end 5121.642
transcript.whisperx[151].text 署長還有副署長你們要特別去注意這些光光要做要合情合理的價錢所以我在台灣13800多塊我去住你知道我到日本去日本是最貴的我到國外去 韓國去你知道我要住多少天嗎
transcript.whisperx[152].start 5122.932
transcript.whisperx[152].end 5136.478
transcript.whisperx[152].text 你們去看看人家國際啦韓國啊 理數業最高最高的檔級不會超過三千塊啦我們是一萬多塊請問一下當然大家都往國外跑啊
transcript.whisperx[153].start 5137.642
transcript.whisperx[153].end 5157.403
transcript.whisperx[153].text 我就出一個機票我吃也便宜住也便宜那我們在台灣國內旅遊所以國內旅遊為什麼打不出來問題在這裡問題在這裡所以我要拜託我們署長還有次長特別要去監督一下不要把消費者當成凱子這是非常重要的
transcript.whisperx[154].start 5159.064
transcript.whisperx[154].end 5184.032
transcript.whisperx[154].text 謝謝非常謝謝您提醒那這個案例跟相關的事由我想我們會要求各縣市政府要去做查核第二個呢如果違規依照這個發展觀光條例處一萬以上五萬以下的划款該划的還是要划我們也要呼籲各縣市政府不要不要放這種因為避免殺雞取卵避免這些旅館業者造成旅客負面的效果好謝謝市長
transcript.whisperx[155].start 5186.772
transcript.whisperx[155].end 5211.098
transcript.whisperx[155].text 好 謝謝 謝謝接下來再請蔡奇昌委員持續謝謝主席署長因為身體不舒服那你坐著就好了 好不好那就請次長 次長請
transcript.whisperx[156].start 5217.509
transcript.whisperx[156].end 5244.314
transcript.whisperx[156].text 我們很早那個幾個啦第一個我想就是這個一次性備品這個基於這個SDGs ESG等等我都很支持一次性備品的不主動提供這個可以但我看那個新聞有寫說這個呂樹葉的浴巾不提供就以後旅行要自己帶浴巾去這個觀光署是不是有澄清了
transcript.whisperx[157].start 5244.793
transcript.whisperx[157].end 5245.734
transcript.whisperx[157].text 法定人數不足
transcript.whisperx[158].start 5258.294
transcript.whisperx[158].end 5278.899
transcript.whisperx[158].text 報告委員我是廣東署旅宿組的副組長曾一平那有關於一次性備品的部分呢大概兩個原則嘛就是以大代小還有鼓勵就是六項牙膏牙收六項部分是旅客要自備然後一次性的不用再講我的意思說預金算一次性嗎這個不算不列在這個六項當中的列管當中
transcript.whisperx[159].start 5279.699
transcript.whisperx[159].end 5295.818
transcript.whisperx[159].text 好 這個普遍在台灣的旅宿業目前說把預金列為一次性的加速多嗎不多應該是個案而已這個案都跟他們告知了我們有告知旅宿業者但在上個禮拜也發了新聞稿好 這個要廣為讓
transcript.whisperx[160].start 5298.721
transcript.whisperx[160].end 5325.971
transcript.whisperx[160].text 我們有旅館有 旅宿有公會嘛應該讓他們知道 也讓消費者知道沒有這件事情那也要請相關的旅宿業者要在官網上公告對對對 這個一定要說明清楚啦否則這個對臺灣影響也很大 外國人來還要自己帶預金 這個不合理第二個我想 你請坐來市長 這個第二個我想那個署長聽一下就好了這個我們現在開始做很多的行銷
transcript.whisperx[161].start 5327.233
transcript.whisperx[161].end 5348.263
transcript.whisperx[161].text 目的就是希望把國外旅客介紹台灣讓他們可以進來換言之我們對於英鎊的市場我們投入了很多的資源那我的意思就是我不知道署裡面對於觀光署投入這些行銷資源有沒有相關的KPI也就是有沒有相關的對效果效益的這些檢測
transcript.whisperx[162].start 5349.924
transcript.whisperx[162].end 5375.815
transcript.whisperx[162].text 譬如說我隨便挑幾個來看因為大家其實現在政治工作者基本上也都經營自己的頻道自己經營的自己的社群不只政治各行各業其實都是一樣的那我們一些很客觀的數字就可以來看譬如說這個圖裡面你看你請那個龜賢來代言的影片一個月前觀看次數是1049次
transcript.whisperx[163].start 5381.031
transcript.whisperx[163].end 5383.639
transcript.whisperx[163].text 這個概念上應該請我代言你不只1049
transcript.whisperx[164].start 5386.138
transcript.whisperx[164].end 5414.137
transcript.whisperx[164].text 而且我還不用收費我的意思就是該檢討啦那左邊這個是我們這個星級旅館的影片他觀看次數有4.5萬感覺起來還不錯但是只有看觀看次數我們也都知道嘛大家都內行人那個找機器人找網軍點一點他次數就可以飆高嘛這個不是我們要的所以我們會再搭配譬如說這個留言數留言數來下一頁
transcript.whisperx[165].start 5416.118
transcript.whisperx[165].end 5416.186
transcript.whisperx[165].text 谢谢观看
transcript.whisperx[166].start 5418.656
transcript.whisperx[166].end 5447.976
transcript.whisperx[166].text 你看這個左邊 左邊這個是韓國觀光公社他請那個韓國叫做國民男友朴寶劍的這個代言的這個影片你可以看得到他這個幾萬是基本然後他最高還可以到1.3億次當然人口不一樣 韓國至少是我們的他5000萬人所以也不能夠完全用這個來去但是至少他的明顯 他的數字比較合理一點
transcript.whisperx[167].start 5448.956
transcript.whisperx[167].end 5472.706
transcript.whisperx[167].text 那其他我們的叫做觀光署裡面的影片你可以看他相對其實就不多甚至也有那個幾百次譬如說我剛剛講龜賢1049那旁邊這個有沒有這個叫做這個佳穎是吧這個才729次這個其實都是很明顯的數字很不合理的地方好的下一個
transcript.whisperx[168].start 5475.302
transcript.whisperx[168].end 5495.635
transcript.whisperx[168].text 好那這個是去年就是找許光漢代言觀看次數就有破百萬的就有破百萬的來下一頁好那這是找那個泰星泰國的明星來代言的那觀看次數有這個20萬次觀看次數有20萬次這個應該也算不錯不錯好再來好這個是一樣的就是那個好
transcript.whisperx[169].start 5501.82
transcript.whisperx[169].end 5527.872
transcript.whisperx[169].text 然後再來就是這個是韓國的那個經紀公司的社群平台好來那所以我們我剛剛講過你從這些數字來看公安署應該要好好的來管理就是我們我今天來不是要檢討說他因為這個數字沒有什麼沒有一定點很高也不見得怎麼樣因為我們會講合理的是按讚數跟
transcript.whisperx[170].start 5528.852
transcript.whisperx[170].end 5554.843
transcript.whisperx[170].text 跟那個留言數要一定程度的比例就是你按讚50萬留言3這個一定慣的一定慣的因為這個大概大家你們問一下可能觀光署裡面的年輕同仁他們有平常在使用社群平台應該就可以知道所以換言之觀光署應該對這些投入譬如說投入龜嫌投入哪一個影星我都沒意見你們去找去找適當的人但每一年都應該有這樣的一個檢討
transcript.whisperx[171].start 5556.744
transcript.whisperx[171].end 5583.986
transcript.whisperx[171].text 對於投入效果的檢討甚至不用到年底年中我們就應該好好的來檢討比如說這個明顯到底這是他沒認真在推就代言那個人沒有很認真他自己也有社群平台他社群平台可能自己都比我們高非常的多可是他代言我們的影片是通路有問題是因為我們沒有在YouTube下廣告YouTube下廣告它其實就是點數率會比較高所以到底是什麼原因一定要好好的把它檢討出來
transcript.whisperx[172].start 5586.572
transcript.whisperx[172].end 5612.529
transcript.whisperx[172].text 市長這樣你懂我的意思嗎非常認同我們投入的經費都要確認他用在對的地方所以我把它整理出來那最後我有一個事情也讓你們參考一下我們如果來做一個比較這個我們辦公室把它整理一下最後一張那個韓國觀光公社你看他的國際策略他的國際策略其實他不只是除了我剛剛講那個KPI檢討到底什麼原因該怎麼做你看他更重要的是他把他的這個
transcript.whisperx[173].start 5614.758
transcript.whisperx[173].end 5636.058
transcript.whisperx[173].text 我們的社群平台當成主要的媒體平台同時他投資高質量的內容那更重要的是你看他的內容本身就是高質量的娛樂產業然後觀眾是主動搜尋和分享也就是說除了事後的KPI的檢討我們怎麼去跟這一個
transcript.whisperx[174].start 5638.719
transcript.whisperx[174].end 5656.364
transcript.whisperx[174].text 網紅或者跟這一個代言的明星來合作其實那個內容的討論更重要或者他怎麼去持續讓他變成一個可以增加啦而不是事後說你沒有用我就換一個就從內容的投入應該就要開始因為時間的關係啦這個我會後會給你們參考所以我覺得這個是對於我們這些
transcript.whisperx[175].start 5661.511
transcript.whisperx[175].end 5679.216
transcript.whisperx[175].text 行銷的費用啊 必須錢要花在刀口上要做一些有用的事情 好不好這個市長我今天因為時間關係我就講到這裡非常謝謝委員好 謝謝 謝謝好 謝謝好 接下來再請李昆哲委員質詢
transcript.whisperx[176].start 5686.737
transcript.whisperx[176].end 5703.793
transcript.whisperx[176].text 謝謝召委陳署長你也不用上來那你真的身體不舒服的話來跟侯孟凱召委報告他會做公正的一個處理謝謝召委我們請一下林國賢次長還有黃世芳副署長
transcript.whisperx[177].start 5705.094
transcript.whisperx[177].end 5726.052
transcript.whisperx[177].text 也跟召委報告有昨天有接獲到署長這樣的狀況我就特別那個准許也說請副署長一定要陪同那今天如果說有什麼真的有問題的部分也請副署長這邊謝謝召委召委的善良大家都很肯定謝謝好次長跟副署長我們看
transcript.whisperx[178].start 5727.899
transcript.whisperx[178].end 5742.851
transcript.whisperx[178].text 來看台灣的觀光其實是已經陷入困境當然我們今年的國際旅客的目標是已經下修了900萬但是看到今年1至7月大概只有478萬
transcript.whisperx[179].start 5744.853
transcript.whisperx[179].end 5771.973
transcript.whisperx[179].text 如果以這樣的一個趨勢來看今年可能大概是830萬到840萬之間當然我也知道觀光署有在全力的衝刺也希望你們能夠達成這個低標但是我們看到我們的觀光旅遊其實有三大問題第一個問題就是我們整體的國際觀光它已經落後國際的
transcript.whisperx[180].start 5774.226
transcript.whisperx[180].end 5791.112
transcript.whisperx[180].text 平均的一個標準我們是落後的第二個我們已經連續兩年無法達成下修的一個目標說起來也很尷尬這兩年的所謂的高標或是低標
transcript.whisperx[181].start 5792.489
transcript.whisperx[181].end 5819.64
transcript.whisperx[181].text 都是由我跟部長在委員會所討論出來的但是都沒有辦法達成第三個問題他所展現的這已經不是國際疫情的衝擊也不是所謂匯率的問題這已經是台灣觀光結構出現了危機部長 副所長 次長那我們來討論一下我們台灣
transcript.whisperx[182].start 5822.557
transcript.whisperx[182].end 5825.948
transcript.whisperx[182].text 的觀光旅遊陷入什麼困境有什麼問題來說一下
transcript.whisperx[183].start 5828.595
transcript.whisperx[183].end 5852.821
transcript.whisperx[183].text 稍微 其實目前觀光的問題大概剛剛陳署長也有稍微說明一個是國人習慣去國外旅遊因為現在航網跟航線也真的很方便像我們到日本一周大概有800多個航次那費用也低那第二個是國內的環境跟這個旅宿的費用也相對高
transcript.whisperx[184].start 5853.861
transcript.whisperx[184].end 5876.192
transcript.whisperx[184].text 第三個是我們國內的景點有一些也需要推陳出新市長你所談的都是相關比較知微莫解的一些問題那我們主要來看我們台灣觀光陷入的困境到底是什麼我們的觀光景點第一個觀光景點的同質性高
transcript.whisperx[185].start 5877.506
transcript.whisperx[185].end 5886.305
transcript.whisperx[185].text 我們沒有辦法去建立區域旅遊品牌的這樣的一個形象都是個別的熱門的一個觀光景點而已
transcript.whisperx[186].start 5886.943
transcript.whisperx[186].end 5908.21
transcript.whisperx[186].text 第二我們相關的資訊的禁用性跟交通系統的整合一直是我在交通委員會啊督促交通部及觀光署要去做改善也沒有做到就是說我們的資訊禁用性以及相關的交通系統的整合做得不好讓旅客啊
transcript.whisperx[187].start 5909.537
transcript.whisperx[187].end 5937.796
transcript.whisperx[187].text 只能在北北基桃这样的一个地方来旅游如果说他们要去北北基桃以外地区旅游相关的资讯跟相关的交通无法配合另外第三就是我们的观光区过度的集中那这些观光区过度的集中它形成一个热门的观光的景点之后导致
transcript.whisperx[188].start 5938.885
transcript.whisperx[188].end 5961.673
transcript.whisperx[188].text 它的品質下滑 性價比低那也就是說我們國際旅客比較少人知道比較沒有知名度的觀光區啊它沒有辦法得到適當的一個曝光行銷與價值開發世界各國都已經在多元化的這樣的一個
transcript.whisperx[189].start 5963.45
transcript.whisperx[189].end 5984.187
transcript.whisperx[189].text 旅遊啦我們看到日本看到韓國世界各國主要都已經多元化二線三線的城市我們現在連主要的這樣的一個相關的二線三線都毫無辦法去建立另外就是提到我們觀光的人力的缺口
transcript.whisperx[190].start 5985.768
transcript.whisperx[190].end 5995.358
transcript.whisperx[190].text 訓練也不足然後產業升級跟不上國際旅遊的一個服務的標準跟趨勢來我請黃副署長來你也來簡單說明一下
transcript.whisperx[191].start 6001.957
transcript.whisperx[191].end 6019.056
transcript.whisperx[191].text 首先委員提的問題的部分我們事實上包括所謂的人過度集中的部分我們是利用現在的數位化跟智慧化希望去掌握人流讓人不要過度集中去影響到旅遊的品質我想這部分我們是今年度列為重點那交通整合部分我們有推
transcript.whisperx[192].start 6019.697
transcript.whisperx[192].end 6048.139
transcript.whisperx[192].text 相關的一個交通卡我們包括所謂的台鐵高鐵還有我們的台灣好行台灣官邦的一個整合那因為目前是初始階段後續我們也希望藉由各個景區的這些旅行店的一個整合我想這部分也有類似就是去學習日本的一些所謂的一卡的部分來方便所謂不管是自由行旅客我想這部分我們會持續去努力那區域品牌的部分事實上我們有跟地方政府在配合
transcript.whisperx[193].start 6049.099
transcript.whisperx[193].end 6064.047
transcript.whisperx[193].text 針對於地方政府提供的相關建設計畫我想我們的旅客啊來的已經是下降復甦的慢那我看到我們相關的這些國際旅遊啊
transcript.whisperx[194].start 6065.4
transcript.whisperx[194].end 6092.52
transcript.whisperx[194].text 我們看到日本已經在討論觀光公害的這樣一個議題當然我們沒有觀光公害這樣的一個問題但是我們還是有旅客過度集中某幾個熱門景點的這樣一個問題日本的觀光公害現象就是旅客大量的湧入然後造成環境的複合然後服務就會產生品質低落這樣一個問題那其實它會形成一個惡性的循環
transcript.whisperx[195].start 6093.641
transcript.whisperx[195].end 6099.133
transcript.whisperx[195].text 就是說大量旅客品質惡化然後就有負面的評價也會造成
transcript.whisperx[196].start 6100.256
transcript.whisperx[196].end 6126.405
transcript.whisperx[196].text 旅客嚴重的這種降低重訪的這樣一個意願那觀光形象也會受到損害旅客流失品質再進一步的這樣一個惡化因為時間的關係我也簡單的說明我們來參考國際的經驗日本的經驗他們有相關應對的策略第一個區域觀光來做分流進行了品牌來
transcript.whisperx[197].start 6127.845
transcript.whisperx[197].end 6154.896
transcript.whisperx[197].text 建立他們的品牌之後來進行相關的客群的分流人家已經做到這個地步已經在做客群的分流第二觀光景點的一個管制就是說採取預約制或是總量管制那也要進行差異化的補助差異化的補助我認為是一個很值得參考的一個重點就是說我們來根據區域的特性來進行補助那鼓勵旅客
transcript.whisperx[198].start 6155.916
transcript.whisperx[198].end 6165.794
transcript.whisperx[198].text 区道比较有独特性或是比较没有知名度但是它有潜力发展的这些景点我们来进行差异化补助但是我们现在补助都不
transcript.whisperx[199].start 6166.772
transcript.whisperx[199].end 6192.669
transcript.whisperx[199].text 都跟日本的做法不一樣我們都是全面的這樣平均的補助這樣我認為是會有問題的那或者是專案的補助專案的補助我們來鼓勵區域的團體業者推出具有這種獨特性的觀光推廣的一些發展計畫每岸有五千萬的日幣大概就台幣一千萬至一千三百萬左右
transcript.whisperx[200].start 6193.59
transcript.whisperx[200].end 6221.836
transcript.whisperx[200].text 更重要有一個永續的認證就是推動JSTST的這樣的一個標準就是日本的一個永續觀光的一個認證的一個標準那強化他們相關人員的培訓以及景區的環境永續那我也再借用最後一點時間我們來看韓國的做法韓國的做法他們召開第十屆國家旅遊的戰略會議
transcript.whisperx[201].start 6223.416
transcript.whisperx[201].end 6245.465
transcript.whisperx[201].text 已經提升到旅遊的戰略會議呢第一個首爾同級的這樣一個新的旅遊中心編列預算他們還要再開發一個新的旅遊中心出來一個新的旅遊中心出來他們也在推動次級的觀光圈呢在首爾的周邊打造這種次級的觀光圈來做分流
transcript.whisperx[202].start 6246.565
transcript.whisperx[202].end 6265.428
transcript.whisperx[202].text 第三就是區域的品牌補助兼投入預算來支持地方政府建立區域旅遊的品牌這也都是值得我們借鏡我們一直都是在台北101然後萬華士林夜市
transcript.whisperx[203].start 6267.674
transcript.whisperx[203].end 6290.684
transcript.whisperx[203].text 不然就是日月潭阿里山現在太魯閣因為地震台灣的關係也受到衝擊你看日本韓國旅客就來了降低了非常的多另外就是愛鄉的這種愛鄉券的優惠就是說離島的旅遊退還50%的旅費同步推出連續的優惠券
transcript.whisperx[204].start 6292.87
transcript.whisperx[204].end 6313.952
transcript.whisperx[204].text 年數的優惠券這個也是值得我們借進不然我們的旅遊現在大概都是一日性的這種住宿率也沒有成長這種年數的優惠券島嶼的住宿的優惠券都值得我們去做參考
transcript.whisperx[205].start 6314.775
transcript.whisperx[205].end 6343.637
transcript.whisperx[205].text 好那其實大家對觀光署要求都非常的嚴格那也希望你們要達成這種推動旅遊的這樣一個基本的目標那也請交通部嚴加督促是那陳署長也因為工作非常的繁重但是也希望你自己要保重身體你看你們觀光署其他的同仁氣色都非常好你自己要多保重謝謝
transcript.whisperx[206].start 6345.238
transcript.whisperx[206].end 6364.445
transcript.whisperx[206].text 謝謝委員那您的這個日本跟韓國的資訊我們會帶回來參考如果有機會我們再跟您報告目前觀光署的做法謝謝委員謝謝謝謝希望大家氣色都好來接下來再請我們氣色也很好的何新淳委員質詢謝謝主席洪門凱召委我們請次長林次長請
transcript.whisperx[207].start 6379.541
transcript.whisperx[207].end 6408.38
transcript.whisperx[207].text 市長好辛苦了大家身體都要保重身體健康最重要謝謝我想剛剛李昆哲委員召委有提到這個有很多國家已經開始把觀光把它提升在一個國家級的一個策略思維那個戰略的思維那這樣子的戰略思維我知道我們今年打算力拚有一個觀光的一個訓研院對不對
transcript.whisperx[208].start 6410.001
transcript.whisperx[208].end 6426.171
transcript.whisperx[208].text 研訓院那你有信心今年可以拚三讀通過嗎跟委員報告我們研訓院經過觀光署的分析也跟院裡做過兩次報告那目前副院長已經知道我們調整成四大主軸
transcript.whisperx[209].start 6427.451
transcript.whisperx[209].end 6451.602
transcript.whisperx[209].text 那一個是跟國際接軌國際品牌的行銷第二個呢是這個跟地方的這個產業促進要結合第三個是調查研訓跟策略規劃第四個是考照訓練所以這些策略我們目前都在準備那都在準備目前有打算在什麼時候送到立法院嗎明年
transcript.whisperx[210].start 6453.464
transcript.whisperx[210].end 6467.202
transcript.whisperx[210].text 年底成立筹约处明年初能够挂牌因为他是用这个财团法人法他用财团法人法所以他不是用行政法人是财团法人好那我们希望第一个
transcript.whisperx[211].start 6469.464
transcript.whisperx[211].end 6493.935
transcript.whisperx[211].text 我們絕對全力支持因為作為一個這個觀光是台灣未來要推展的一個最重要最重要的一個產業那我們的一個國家級的一個戰略思維那如何的來重建台灣的觀光甚至如同過去我們一直強調的質量都要並重那為什麼我會提這件事因為剛剛
transcript.whisperx[212].start 6495.596
transcript.whisperx[212].end 6518.725
transcript.whisperx[212].text 有看到李昆哲委員稍微提到這個韓國的思維裡面有對於這個區域品牌的建立那我想在未來的這樣子財團法人的一個研訓院裡面對於這個區域品牌的建立也是一個重點我就是要跟市長跟署長要來討論的就是我們長期在爭取
transcript.whisperx[213].start 6520.366
transcript.whisperx[213].end 6535.243
transcript.whisperx[213].text 質詢推動台中的觀光中台灣的區域品牌該如何建立那其中一個策略是郵輪那我當然也非常感謝港務公司的努力終於破零
transcript.whisperx[214].start 6536.184
transcript.whisperx[214].end 6557.941
transcript.whisperx[214].text 明年即將迎來這個郵輪我在2023年5月就在提醒我們國際郵輪的招商不夠好不夠快那彩線團也不夠那對台中的各地區域的特色的旅遊的套裝的行程做得不夠好那所以我要求要
transcript.whisperx[215].start 6559.578
transcript.whisperx[215].end 6583.91
transcript.whisperx[215].text 積極的找國外的採線團來這個有做到我先肯定第二個2024我也在講那我們中央跟地方政府如何合作把該做的準備做好做滿做足能夠迎接這個郵輪觀光客國際的觀光客能夠落地所以我知道經過港務公司的一個努力
transcript.whisperx[216].start 6587.071
transcript.whisperx[216].end 6606.476
transcript.whisperx[216].text 2026台中港預計會有8艘次對不對有4艘郵輪對不對所以次長我也必須要講終於我們可以破蛋破鯉魚非常謝謝委員是所以大家很努力的先肯定但是呢好還要更好相對於其他的港口台中港
transcript.whisperx[217].start 6607.116
transcript.whisperx[217].end 6622.747
transcript.whisperx[217].text 只有八燒市我當然還是不滿意但是呢起碼是一個開始那我只是想知道說那跟地方政府的合作包括那在地的交通接駁岸上的觀光行程都準備好了嗎包委員我是請副總
transcript.whisperx[218].start 6625.523
transcript.whisperx[218].end 6650.669
transcript.whisperx[218].text 港公司的張副總跟委員報告這一部分我們已經有都積極準備因為很難得繼疫情之後又有四艘郵輪要來台中港我們非常重視我們期待很久了所以我們在今年我們也安排國外的這些知名的郵輪公司都來採線從六月份十月份到下個月都一樣有從六月到下個月到
transcript.whisperx[219].start 6651.649
transcript.whisperx[219].end 6670.34
transcript.whisperx[219].text 6月份有一次10月份有一次然後11月份下個月也有所以我們也安排在台中這邊去考察鹿港老街 霧峰林家還有國家歌劇院來 接下來來 我請教一下你帶他們來彩線團走的路線是你提供給我的這三條線嗎
transcript.whisperx[220].start 6671.909
transcript.whisperx[220].end 6689.014
transcript.whisperx[220].text 你看一下你的資料這是你們提供給我的就是說你們推薦台中的這個郵輪觀光能夠落地那觀光客有三套行程一個是從台中港到市區裡面國家歌劇院對不對再回到海線的高美濕地對不對
transcript.whisperx[221].start 6690.054
transcript.whisperx[221].end 6715.552
transcript.whisperx[221].text 那一個是呢往彰化鹿港老街那邊走嘛再回到台中的這個山景Outlet那第三條線是從台中我一直強調的山海屯市區我們希望都有各有特色的一個行程所以第三條線是往屯區走嘛對不對再回到台中港港區因為現在台中中台灣台中的這個交通是非常方便的那所以我是想問說這三條
transcript.whisperx[222].start 6718.334
transcript.whisperx[222].end 6738.912
transcript.whisperx[222].text 旅遊行程路線是確定嗎還是說這是你們帶彩線團來走的事半路線那個跟委員報告這個是我們初步的規劃但是這個都可以去做調整委員或是委員的辦公室如果有更加的我們都可以去開放多元的行程出來
transcript.whisperx[223].start 6739.312
transcript.whisperx[223].end 6757.832
transcript.whisperx[223].text 我是建議啦我為什麼會提這個當然這個很好你有分三海豚四區都有把我們大台中市都有琢磨到那有帶大家繞一圈但是我為什麼會問這個呢因為台中是一個年輕的城市我們有很多的特色而且根據國際郵輪協會2025的報告
transcript.whisperx[224].start 6760.635
transcript.whisperx[224].end 6777.055
transcript.whisperx[224].text 那以後郵輪的觀光的族群有年輕化的趨勢也就是說他從原來的可能是60歲70歲的銀髮族的一個退休族的一個觀光到現在有是家庭家族
transcript.whisperx[225].start 6777.795
transcript.whisperx[225].end 6795.775
transcript.whisperx[225].text 亲子甚至年轻人的选择也选择邮轮就是它有年轻化的趋势那所以我们在相关的设计的一个套装行程里面我们可以更多元的开发这个是我的提醒为什么呢因为我们认为对焦
transcript.whisperx[226].start 6797.459
transcript.whisperx[226].end 6819.851
transcript.whisperx[226].text 來行銷很重要對焦行銷很重要那我們如何去擴大我想業界有在做這樣子的一個精準的一個聚焦的行銷這個策略這樣方式你們也應該懂你們也應該做所以我認為我們還要運用現代化的一個數據分析我今天台中港有
transcript.whisperx[227].start 6820.851
transcript.whisperx[227].end 6847.842
transcript.whisperx[227].text 八艘郵輪要來那我在八艘郵輪裡面我們可不可以事先去盤點一下或者是在捉摸一下來的旅客的年齡層那課程的年齡可以決定他的旅遊的樣態他可能喜歡什麼樣的旅遊形式那我們用這樣子的分析來找出不同族群的偏好行程那我們可以來設定
transcript.whisperx[228].start 6849.994
transcript.whisperx[228].end 6871.779
transcript.whisperx[228].text 以客為尊嘛那我台中有很多可以去互相搭配的好的行程嘛所以剛剛講的三條那個三海豚市區那我也可以有年輕的更多元化的行程我覺得這個部分是我們應該要應用現在的新的
transcript.whisperx[229].start 6872.539
transcript.whisperx[229].end 6886.524
transcript.whisperx[229].text 數位化的行銷策略來因應那來打造大台中的特色行程這個你們做得到嗎好 可以 謝謝委員可以嗎 好不好感謝 感謝委員的提點那最後最後這個外語的導遊人才因為有郵輪那帶進國際觀光客那來的人呢
transcript.whisperx[230].start 6892.006
transcript.whisperx[230].end 6916.886
transcript.whisperx[230].text 英文為主還是日本人韓國人甚至東南亞國家的旅客那現在我們大概外語的導遊人才英文沒問題日語也沒問題韓語現在也熱門可是其他的語言要搭配我們的華語的導遊所以這個部分我覺得人才的培育應該要更加強
transcript.whisperx[231].start 6918.327
transcript.whisperx[231].end 6935.604
transcript.whisperx[231].text 這個部分我們打算怎麼因應我們有解決方案嗎英文一般是國際語言那我們有關稀少語言的部分會加強訓練那除了訓練之外我們應該提供誘因就是訓練完成的人他願意從事相關的行業
transcript.whisperx[232].start 6936.324
transcript.whisperx[232].end 6957.823
transcript.whisperx[232].text 那有關郵程的部分我也這邊補充說明因為還是要由郵輪賣的出去所以變成郵輪遊客喜歡跟後續地階設的整合部分我們會配合郵輪公司來做一個調整那除了所謂的郵輪郵輪上的郵程跟後續有些是屬於自由行的客人這些景點的介紹我想我們光屬也會做好相關的一個準備來服務遊客
transcript.whisperx[233].start 6959.204
transcript.whisperx[233].end 6982.29
transcript.whisperx[233].text 那再拜託會後再給我相關的資料那期待這一次明年度的這八艘次的郵輪能夠呢成功那未來來爭取更多的郵輪可以進來台中謝謝好 謝謝好 接下來再請魯明哲委員質詢那我們宣告一下等一下林郡縣委員質詢完畢之後我們休息五分鐘
transcript.whisperx[234].start 6992.099
transcript.whisperx[234].end 7016.55
transcript.whisperx[234].text 好 謝謝主席 又請林次長好 次長請那現在觀光署是副署長來嗎陳署長也有到不是 陳玉秀不方便坐著有必要的時候發一個麥克風啦因為有時候問到問題你要自我去回答所以可以這個來說好 首先問一下次長好了因為今天部長也沒來吳院長你們到底關不關心這個觀光產業
transcript.whisperx[235].start 7019.111
transcript.whisperx[235].end 7039.281
transcript.whisperx[235].text 觀光很重要就派你來嘛因為你是這個陸海空也是屬於空的我也不知道請問一下到底今年九百萬的目標現在達標的信心是怎麼樣包委員還在積極努力中我們到九月底27號是破六百萬人次
transcript.whisperx[236].start 7040.041
transcript.whisperx[236].end 7068.441
transcript.whisperx[236].text 那依照目前的資訊10月26大概到667萬次所以有信心有努力的目標前面九個月前面三季目前你們統計是605萬事實上每一季大概是202萬如果以這個數字來估算的話你最後一季因為現在馬上就剩兩個月了我覺得不見可以達標但我要講一下我的心得
transcript.whisperx[237].start 7069.622
transcript.whisperx[237].end 7094.754
transcript.whisperx[237].text 那尤其我們的署長是來自企業界其實我們當時我們部長用企業人才我個人是覺得期待真的很期待因為為什麼呢企業帶進來的企業精神其實企業精神很重KPI也很重我們的一個績效當然在公務機關我們不是以利潤為一個中心但是肯定有它的一個績效但如果在一般企業績效沒有達標一年沒達標
transcript.whisperx[238].start 7095.974
transcript.whisperx[238].end 7112.452
transcript.whisperx[238].text 兩年沒達標其實是草就走人了沒有再這邊機會所以第二年我們決定了今年900萬不達目標我再問你包委員明年我們800萬我們還努力我們這個國家觀光可以這樣的這麼多人才可以這樣繼續搞去年我們從1200萬聽到
transcript.whisperx[239].start 7116.835
transcript.whisperx[239].end 7143.464
transcript.whisperx[239].text 1000萬 最後785萬左右那今年呢 又從1000萬開始聽那署長來的時候他也很誠實嘛他說目標900萬那現在呢 看樣子也不能達標我不知道啦 因為今天整個政府其實是面對國人你們所有的錢都是國民的納稅的錢在你們身上大家期待的尤其這些觀光產業如果這樣的持續在全世界
transcript.whisperx[240].start 7144.844
transcript.whisperx[240].end 7163.457
transcript.whisperx[240].text 大部分旅遊這個觀光都已經超越起飛的一個階段尤其很多我們熟悉的國家可是我們還在很努力的想辦法說明我們為什麼不行其他國家就是用人數用產業來代表他行我覺得這個差距太大了
transcript.whisperx[241].start 7165.109
transcript.whisperx[241].end 7186.273
transcript.whisperx[241].text 我想請教一下那署長你坐在那邊也可以回答因為這是一個延續性的問題10月8號距離現在三個禮拜那時候特別把13個風景區那個副署長你也可以回答副署長因為你做過兩三個風景區的處長你兩邊都做過你知道我們在談的是什麼
transcript.whisperx[242].start 7187.711
transcript.whisperx[242].end 7211.924
transcript.whisperx[242].text 第一個不光是桃園今天就完整目前你13個國家風景區全部涵蓋沒有涵蓋到的有5個縣市台北桃園新竹嘉義以及金門縣我一併來講不要光講桃園好了那你說這個有什麼好講的呢那就風景管理處風景區的預算反正這麼少
transcript.whisperx[243].start 7213.55
transcript.whisperx[243].end 7240.752
transcript.whisperx[243].text 所以今天各位看一下就114年的單位預算就是我到底在說什麼就是你們觀光署的錢是償付於國家風景管理處你的55.2億的預算其中13個風管處就分掉了61%六成就在這裡所以你說我們沒有被列到的縣市要不要去關心我當然要關心
transcript.whisperx[244].start 7241.877
transcript.whisperx[244].end 7264.848
transcript.whisperx[244].text 第二個早期風景管理處的時候你說他是一個比較特殊的單位特殊單位因為全國只有兩個三個他要特別照顧可是當國家已經發展到九成的縣市八成的縣市全變都是風景管理區我告訴你道館要特別照顧的是那沒有列入的副市長你覺得呢
transcript.whisperx[245].start 7266.082
transcript.whisperx[245].end 7271.633
transcript.whisperx[245].text 這些錢都不會把這五個縣市列入你覺得這樣公平嗎對於國家的資源
transcript.whisperx[246].start 7273.685
transcript.whisperx[246].end 7301.692
transcript.whisperx[246].text 報告委員有關就是成立風景區的部分我們有相關程序在走但對於就是沒有列入的部分事實上我們在有些特別預算的部分會由這些像桃園的部分之前我們針對石門水庫事實上也協助了很多預算去整理石門水庫所以就算是沒有列在內那我們觀光圈的部分事實上就是要去彌補有些沒有在風景區裡面去整合這些沒有在風景區裡面的這些縣市的部分我知道了
transcript.whisperx[247].start 7302.372
transcript.whisperx[247].end 7331.576
transcript.whisperx[247].text 就是我們這五個縣市沒有納到你60%的預算跟我們無關但是我們還是會施捨你我們還是會幫忙你憑什麼你現在這國家的預算是桃園人 台北人 新竹人是沒有納稅你們注入了33.7億在13個國家風景區我當然不是說針對數這個制度其實也不是你們訂的可是在這樣的 你去檢討從過去保障少數的國家風景區給它支援
transcript.whisperx[248].start 7332.556
transcript.whisperx[248].end 7357.964
transcript.whisperx[248].text 現在已經多到普遍到只有五個縣市它不屬於這個部分我覺得當時的一個規劃應該要好好去思考這個問題不然你們這個署長也說他在帶動這個國家觀光的一個策略的時候老師這車拉的有五個縣市沒有動因為他拉的是13個國家風雨區這樣的是不行的所以署長你可以在原地回答一下嗎因為當天部長是說
transcript.whisperx[249].start 7359.404
transcript.whisperx[249].end 7379.98
transcript.whisperx[249].text 他也覺得他也覺得這可以努力所以他說他會馬上跟地方政府一起來努力現在三個禮拜了目前的狀況是如何我們現在問題是有針對像北橫的部分嘛對不對是指說其他的地方五個國家嗎五個縣市嗎
transcript.whisperx[250].start 7388.181
transcript.whisperx[250].end 7412.924
transcript.whisperx[250].text 好好好 你休息吧反正問題已經問了10月8號部長的回答是說確實61%的預算跟這些縣市都無關因為有說真的那這樣覺得很奇怪他也覺得說這個部分我們看是不是用其他地方來補足我們希望在下次的時候能夠有具體的一個答案不光是對桃園那再來
transcript.whisperx[251].start 7413.973
transcript.whisperx[251].end 7437.766
transcript.whisperx[251].text 好吧如果說不贏 我們策略是這樣說不贏 講不贏 打不贏那我就參加你們的隊伍了好不好那我們這個桃園也申請北橫國家風景區嘛我們也想參加嘛變成第14個國家風景區嘛這也弄了很久了嘛那這樣的好不好 次長你說一下你支持不支持北橫這麼漂亮你支持不支持
transcript.whisperx[252].start 7440.058
transcript.whisperx[252].end 7453.232
transcript.whisperx[252].text 報委員他的特色跟條件如果能納入應該是沒有問題現在就是說依照程序他必須要跟原住民部落會議要溝通那所以目前還在程序中 是好的
transcript.whisperx[253].start 7454.605
transcript.whisperx[253].end 7479.39
transcript.whisperx[253].text 國家級的風景區這如果通過的話是由國家所以你要以國家的視野來看這個區塊在整個北台灣是一個非常重要的它確實是一個國家級的景點這是事實山川這麼漂亮它的點也這麼多自然的景觀它早就在本位上風景管理其實它本質早就符合了
transcript.whisperx[254].start 7479.93
transcript.whisperx[254].end 7504.395
transcript.whisperx[254].text 但是因為第一個他跨了三個縣市包括新北宜蘭桃園你們不出來幫忙一下你們不出來幫忙一下很多事情扣在一起很難第二個確實部落會議希望園民會也能來加入幫忙這個部分是不是請次長跟我們署長副署長回去來關心這個議題看看哪裡可以來協助可以嗎
transcript.whisperx[255].start 7506.409
transcript.whisperx[255].end 7522.966
transcript.whisperx[255].text 我們會全力來瞭解那目前6月2號我們關公署也要邀請評鑑委員那原則上這個部落會議只要同意大概就可以拿住現在就部落會議我還要跟原民會議我是建議部落會議的時候麻煩你們副本行文也請原民會
transcript.whisperx[256].start 7524.187
transcript.whisperx[256].end 7542.217
transcript.whisperx[256].text 他來協助啦好不好幫忙一下桃園市政府然後還有一些部落是宜蘭的大家一起地方政府來追著配合好不好來努力希望有進度是那最後啊本來要問署長的好啦就簡單來講今天拿到你們的一個報告觀光署的一個報告因為我們
transcript.whisperx[257].start 7543.257
transcript.whisperx[257].end 7560.856
transcript.whisperx[257].text 真的今天很多的呂素月從大概這個月初打電話給我很多相關的問題結果我也看到你們也有注意到這個問題你們報告特別講呂素月 協業圈工你們振興改善的一個計畫我特別把你們的重點列出來1 2 3 4 5我就不重新念了
transcript.whisperx[258].start 7562.217
transcript.whisperx[258].end 7582.867
transcript.whisperx[258].text 呂素月缺工到放寬實習生包括這個禮拜的僑外生我們都有看到可是我就覺得很奇怪寫這報告的是副組長嗎副組長這報告誰寫的是哪一個處寫的還是哪一個科寫的寫的真的還不錯是哪一個哪一個科寫的舉手一下誰寫的你寫的嗎同仁寫的我的天啊
transcript.whisperx[259].start 7588.84
transcript.whisperx[259].end 7612.896
transcript.whisperx[259].text 我的意思說你寫了這麼多你有沒有注意到你寫的年度坦白講我們半年聽你我們這次專案報告我們要最新的資料我們要署長現在上任四個月他最新的一個政策他自己的政策你不要告訴我歷史上的我們做了什麼事情你自己看喔從112年到最後一條130年10月你看右邊現在放出來給你看
transcript.whisperx[260].start 7614.611
transcript.whisperx[260].end 7630.63
transcript.whisperx[260].text 第一條張錫聰 周永輝 局長 署長他們認定第二條一樣第三條張錫聰完成了政策第四條周永輝第五條周永輝你寫這個報告給我我就覺得不是不行
transcript.whisperx[261].start 7631.511
transcript.whisperx[261].end 7656.088
transcript.whisperx[261].text 可是在中間來講我們的署長我們現在的一個部長在今年度我們不然每年給你預算幹嘛我明年給你預算做什麼你說我還要怎麼樣去做所以我是建議我們署長也好部長也好未來除了這些歷史上的你自己署長你新的署長你在每一個政策你都要具體可行的目標讓大家有感來努力好不好
transcript.whisperx[262].start 7657.79
transcript.whisperx[262].end 7673.25
transcript.whisperx[262].text 跟委員報告就是署長努力就是放寬外籍技術工的部分因為今天才核定所以來不及更新 今天核定好今天嘛好我們希望你真的要努力其實產業界很辛苦 謝謝
transcript.whisperx[263].start 7675.851
transcript.whisperx[263].end 7703.918
transcript.whisperx[263].text 好 謝謝也跟魯明哲委員報告這個之前要資料本席跟您一樣也都一直沒有辦法更新到資料但是我們排了今天的專案報告之後就很巧的今天行政院院會也拍板說今天要核定所以如果說真的是這樣的話那以後我們就多排一些關心的專案報告那看可能就會督促行政部門有更新的進度好 謝謝再來請林俊憲委員質詢
transcript.whisperx[264].start 7707.617
transcript.whisperx[264].end 7724.487
transcript.whisperx[264].text 來 主席 本來是邀請我們交通部林次長來 次長請公安署誰要選 副署長還是 委員長好 次長長是次長你現在知道大部分的人在旅行
transcript.whisperx[265].start 7725.703
transcript.whisperx[265].end 7754.836
transcript.whisperx[265].text 其實他安排行程上所有必要的很多東西都是在透過網路的平台這種叫OTAOnline Travel Agent你知道吧你現在在上面幾乎可以安排所有的東西訂房間以外 機票 租車門票 套裝行程整套的都有在賣那以前這種網路上的這種OTA這種平台那誰在管
transcript.whisperx[266].start 7756.772
transcript.whisperx[266].end 7763.072
transcript.whisperx[266].text 觀光署一直看起來好像是觀光署要管嘛但以前觀光署說網路上的東西還不知道誰要管
transcript.whisperx[267].start 7764.455
transcript.whisperx[267].end 7794.035
transcript.whisperx[267].text 行政院在今年6月有發布了一個網際網路內容管理基本規範及分工原則因為現在網路上什麼東西都有那到底是什麼樣的動態什麼樣的業務行動有哪個部會管做了一個很明確的跨部門之間的分工機制所以行政院現在把觀光署就定為網路的這些OTA業者的主管機關市長先讓你知道這個事情副市長是吧
transcript.whisperx[268].start 7796.136
transcript.whisperx[268].end 7815.908
transcript.whisperx[268].text 因為OTA現在業務非常蓬勃所以你不得不管它否則會越來越混亂我舉幾個例子我們台灣有一位非常知名的旅遊的YouTuber他在網路上的名字叫老爸
transcript.whisperx[269].start 7817.009
transcript.whisperx[269].end 7845.105
transcript.whisperx[269].text 他是一個台灣的網紅他經常介紹他怎麼去旅行他都是透過使用平台來訂購住宿或機票結果他傳了一個影片分享他在SkyScanner這個也是一種網路平台他在買航班的時候看到有一個機票網站他就買了比航空公司的官網還便宜2000塊他當然買所以他從西雅圖機場準備登機的時候被攔下來說那機票有問題
transcript.whisperx[270].start 7847.162
transcript.whisperx[270].end 7872.736
transcript.whisperx[270].text 所以在平台上這種商業糾紛很多恐怕會越來越多所以你透過這個平台買票到底有沒有保障如果沒有保障你可能遭到詐騙今天還有一個例子這個也是一個民宿這個民宿也是蠻有名的它在九份九份這家民宿民眾要去住的時候發現他被無預警的撤銷他的訂單
transcript.whisperx[271].start 7875.014
transcript.whisperx[271].end 7904.541
transcript.whisperx[271].text 去的時候不能住啦他的訂單被取消啦然後他被以兩結果他同樣的房間被這個民宿業者用兩倍的價格重新上架更誇張的是後來他去查才發現這個民宿業者根本是非法旅宿啦那網路上OTA上面賣的上面的到底那麼多的旅遊那麼多的消費者都在上面來購買各式各樣的東西各項的服務那有沒有保障來 誰來回答
transcript.whisperx[272].start 7908.07
transcript.whisperx[272].end 7908.091
transcript.whisperx[272].text
transcript.whisperx[273].start 7909.432
transcript.whisperx[273].end 7937.48
transcript.whisperx[273].text 包委那個非法的部分我們在4月2號的部分已經修正發展官方條例的部分把相關的罰則都提高了我想旅館最高會罰200萬民宿是100萬那如果刊登非法營業訊息的部分最高也可以罰到150萬那我們另外一個做法就是希望這些業者的部分必須把他的合法的旅宿登記證在網路上去呈現表示他是個合法的一個你不能只管旅宿業者啦
transcript.whisperx[274].start 7938.422
transcript.whisperx[274].end 7959.616
transcript.whisperx[274].text 重點是平台我跟你講你現在就是只罰旅宿業者旅宿業者違法當然該罰那現在是你在你這些平台要賺錢要有一點道德良心至少他要自律他要自我規範那我們政府機關是他律我們就管理他
transcript.whisperx[275].start 7961.141
transcript.whisperx[275].end 7985.286
transcript.whisperx[275].text 否則現在就是因為沒有監管依據那你不罰平台 所以我管你合法非法你來我這裡看廣告 我也照單全收 對不對你去哪裡來訂 你這裡有房間我管你是不是政府認定的合法產品或者是一般都 或者是旅宿嘛所以因為現在賣的東西非常多現在連門票 租車 機票 住宿計畫都有
transcript.whisperx[276].start 7986.851
transcript.whisperx[276].end 8010.774
transcript.whisperx[276].text 像這些世界級的 我現在秀給你看 這都很大型 這都不用我介紹agoda trip.com booking.com 這都很大型的但是他們也不敢保證 我也不敢保證上面都是合法的我舉個例子 我就看某一個縣市縣市政府他都會公佈 定期公佈他發現的 他抓到的非法旅宿業者
transcript.whisperx[277].start 8011.738
transcript.whisperx[277].end 8037.329
transcript.whisperx[277].text 那請觀光署你就按照政府公布的這些非法的旅宿業者你去這些平台上面找都可以找到會不會有這種狀況我找給你看會嘛 對不對政府公布這一排這些東西非法但是你在平台上找得到他還在繼續賣所以你要監管的不只是
transcript.whisperx[278].start 8038.462
transcript.whisperx[278].end 8052.755
transcript.whisperx[278].text 旅宿業者或者是賣機票旅行社或者是代理商你不能只管這些你還要管平台因為平台要負起一點責任他要做第一關的把關他要稍微過濾來 表表一下意見
transcript.whisperx[279].start 8057.098
transcript.whisperx[279].end 8079.789
transcript.whisperx[279].text 包委員因為目前這些平台他沒有落地在台灣我們可能就是在部分大概只能就是拜託請他要求他請求他請求他 請求他請求他 請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求他請求
transcript.whisperx[280].start 8081.075
transcript.whisperx[280].end 8104.815
transcript.whisperx[280].text 以前一些社交平台也是這樣啊Meta啊 Google啊政府機關我們也要求數額不等你要去跟他講 你到台灣來賺錢你總要合法合規吧我跟你說新加坡怎麼做啦別的國家做到台灣為什麼你做不到新加坡他甚至規定啦
transcript.whisperx[281].start 8107.079
transcript.whisperx[281].end 8116.923
transcript.whisperx[281].text 一般的旅行社業者以外OTA也算是旅行代理商啦OTA沒有取得新加坡的執照是會受新加坡政府處罰的啦我們政府現在已經把這個業務歸給你觀光署啦你現在 你現在 抱歉啦先給你供預啦你沒辦法再推卸責任啦以前如果跟你說這些你都不是你們管的啦你們不管網路上面的事情啦來 次長
transcript.whisperx[282].start 8135.339
transcript.whisperx[282].end 8157.704
transcript.whisperx[282].text 新加坡政府是連OTA都要求要跟他政府訂執照那日本 韓國並沒有做法又不一樣日本 韓國是要求你OTA必須做第一關來你這邊登廣告的你要看他有沒有合法執照你才可以接受他在你這裡上架
transcript.whisperx[283].start 8158.752
transcript.whisperx[283].end 8186.583
transcript.whisperx[283].text 來做選團日本韓國也這樣做包委 日本韓國這個做法現在台灣應該也可以做我告訴你剛講的我告訴你剛才吹一堆違法 你是就是那些縣市政府查核出來的違法或違規的我們應該要清出來一方面公告給消費者知道 民眾知道第二個我們應該去函給數位部跟這個平台要求它下架這才是對的方式所以我們會朝這邊來做
transcript.whisperx[284].start 8187.583
transcript.whisperx[284].end 8213.028
transcript.whisperx[284].text 另外我們每一年觀光署都有編預算在做一些旅遊景點來宣傳但我發現我們的廣告預算都下在一些現在越來越少人看的地方現在最多人會瀏覽到的眼球數最多的其實也是這裡有OTA你應該廣告也要在上面對不對他跟你業務往來你可以要求他遵守我們的法規
transcript.whisperx[285].start 8214.537
transcript.whisperx[285].end 8233.523
transcript.whisperx[285].text 所以你看香港政府就跟Kloop合作那Trip.com好像有很多國家政府也會跟他來合作韓國 韓國政府就跟Trip.com這種公司來合作因為現在大部分的人在尋找旅遊資訊都會在這種OTA平台
transcript.whisperx[286].start 8234.875
transcript.whisperx[286].end 8263.061
transcript.whisperx[286].text 我們都看在國際的廣告 雜誌 報紙就是說你現在要精準投射你的廣告好不好包括委員OTA的部分我們在各市場的部分有做廣告分攤的部分來行銷台灣產品但因為可能它的受眾是國外的旅客所以我們在台灣並沒有看到因為不同的OTA在不同市場有佔有率我們會依照那你可不可以要求他本地的 你開錢的
transcript.whisperx[287].start 8264.961
transcript.whisperx[287].end 8287.414
transcript.whisperx[287].text 他本來就 他本來就 他有客製化的那種他必須要符合你的廣告需求啊你的手動在這裡移動這樣做啊 好不好好啦 我們主席已經站起來了好 謝謝市長喔 謝謝副市長好 謝謝主席好 謝謝好 那張委員會剛剛有宣布那我們就先休息五分鐘五分鐘之後繼續開會 謝謝
transcript.whisperx[288].start 8301.783
transcript.whisperx[288].end 8313.285
transcript.whisperx[288].text 響鐘
transcript.whisperx[289].start 8336.954
transcript.whisperx[289].end 8359.377
transcript.whisperx[289].text 響鐘
transcript.whisperx[290].start 8365.736
transcript.whisperx[290].end 8383.575
transcript.whisperx[290].text 大概跟他講過,這次好像不會去,所以其他都得...呃...待會我們走起來吧
transcript.whisperx[291].start 8386.218
transcript.whisperx[291].end 8394.746
transcript.whisperx[291].text 剛有跟他說明一下我剛有跟他說條文也都沒有變他們說原來行政院版本現在國長要加班的加班的
transcript.whisperx[292].start 8395.973
transcript.whisperx[292].end 8412.166
transcript.whisperx[292].text 國民黨團它畢竟這邊多條,然後它這邊又...它太...不管是新旗還是在這邊修正它都條,就比較奇怪你是說誰做的?國民黨啊,國民黨它...它自己頒發嘛對,它自己頒發,然後平時在修正條,它太多條它就是說反正當然都可以,大家坐下來談啊
transcript.whisperx[293].start 8420.572
transcript.whisperx[293].end 8423.994
transcript.whisperx[293].text 你會用我的版 你可以用原來的就拿你待會來跟他講嘛
transcript.whisperx[294].start 8441.491
transcript.whisperx[294].end 8453.346
transcript.whisperx[294].text 坐上 坐上 雙車 媽媽那我們可以找副座嗎就你坐五分鐘啊我也要上車你們要跑 你們要車嘛讓我們招牌
transcript.whisperx[295].start 8455.608
transcript.whisperx[295].end 8456.629
transcript.whisperx[295].text 送到工程會報
transcript.whisperx[296].start 8492.063
transcript.whisperx[296].end 8496.265
transcript.whisperx[296].text 謝謝大家。
transcript.whisperx[297].start 8517.576
transcript.whisperx[297].end 8521.317
transcript.whisperx[297].text 多謝您的收看
transcript.whisperx[298].start 8531.884
transcript.whisperx[298].end 8544.236
transcript.whisperx[298].text 謝謝大家
transcript.whisperx[299].start 8545.237
transcript.whisperx[299].end 8554.542
transcript.whisperx[299].text 那它也怪,那你比較平常的就比較痛苦,所以像是因為這裡面,所以它把你放在裡面,很怪。
transcript.whisperx[300].start 8556.578
transcript.whisperx[300].end 8580.728
transcript.whisperx[300].text 對 下午的照片 主持人要比較擔心他從來看不清楚的保護對 大家對這個情形都很舒服 他們也好很溫柔他們也很溫柔 也很溫柔
transcript.whisperx[301].start 8595.11
transcript.whisperx[301].end 8599.453
transcript.whisperx[301].text 謝謝大家
transcript.whisperx[302].start 8635.874
transcript.whisperx[302].end 8641.517
transcript.whisperx[302].text 好 來交通委員會準備開會再麻煩我們的媒體朋友
transcript.whisperx[303].start 8649.71
transcript.whisperx[303].end 8669.016
transcript.whisperx[303].text 好 接下來請徐富奎委員質詢謝謝主席 邀請我們林長賜還有觀光署我們的黃副署長上請 副市長請
transcript.whisperx[304].start 8675.01
transcript.whisperx[304].end 8694.386
transcript.whisperx[304].text 市長 副市長早我想我們交通部在2021年提出的臺灣觀光邁向2025年的一個方案那今年剛好已經屆滿5年那當然目前看起來有一些KPI去年有達標但是有些距離目標還很遠那不曉得我們交通部針對這樣的一個狀況
transcript.whisperx[305].start 8696.487
transcript.whisperx[305].end 8721.685
transcript.whisperx[305].text 不管是這個國旅也好 還有國外的旅客這個來臺的觀光人次也好我想剛剛也許多的委員都在提到這個部分那原本我們國旅的部分這個二零二五年旅遊的人次試看一千一百萬消費金額是四千一百億但是距離還有點很遠不曉得我們交通部跟我們觀光署針對這個未來努力的目標是不是有在做調整跟修正
transcript.whisperx[306].start 8725.238
transcript.whisperx[306].end 8746.076
transcript.whisperx[306].text 報告委員我們後五年的目標是希望以提升值我想因為我們台灣的關係它承載量是有一定的上限如果在目前很多在討論所謂的過度觀光的部分所以我們現階段的部分是希望提供來來的部分可以讓我們的當地這些旅遊所以我們有奠定未來五年的目標了嗎
transcript.whisperx[307].start 8747.257
transcript.whisperx[307].end 8755.551
transcript.whisperx[307].text 我們希望就是把那個2030的部分有一個兆元產業包括就是國旅跟國際旅客的部分
transcript.whisperx[308].start 8756.587
transcript.whisperx[308].end 8782.948
transcript.whisperx[308].text 好 我想現在不是只有交通部跟觀光署的官員頭痛我們第一線的觀光的從業人員大家壓力也很大尤其我們這個屏東 我們過去很多的年輕人懷抱的理想到屏東這個投入這個觀光產業 有的甚至去開民宿 現在都很慘這個客源也少然後營運上貸款的壓力也很大 那我想不管是
transcript.whisperx[309].start 8784.489
transcript.whisperx[309].end 8810.235
transcript.whisperx[309].text 從這個整體的經濟面也好我們當然我們先知道臺灣的經濟這個發展非常的好但是我們期待這樣觀光產業一個帶動能夠讓更多的這個觀光的元素能夠增加那所以觀光署目前為了吸引國際觀光客也規劃了很多的方案包含這個消費金的抽獎交通票券來臺機票甚至一些套裝行程的優惠那不曉得觀光署有沒有針對這部分有沒有
transcript.whisperx[310].start 8810.995
transcript.whisperx[310].end 8837.714
transcript.whisperx[310].text 明定我們大概的這個行銷策略的效應在哪裡那個部分是我們會有兩個一個是適用全球一個策略一個各市場的部分會依據各市場的旅客需求去做一個變化我想各個市場有滾動檢討嗎對那因為有些行銷的部分我們可能要去做市場的試驗如果是效益好我們再加嘛效益不好的部分我們可能會來檢討我們的做法再做一個滾動式的一個調整
transcript.whisperx[311].start 8838.735
transcript.whisperx[311].end 8854.456
transcript.whisperx[311].text 好 那不過我還是要提醒就是有一個我們因為觀光署每年會針對國內一些這個國際旅客來臺灣熱門的景點的一個排行那比如說像是目前我們看到的臺北101西門町甚至九份 我想
transcript.whisperx[312].start 8855.437
transcript.whisperx[312].end 8875.35
transcript.whisperx[312].text 根據這個目前的這個觀光 前瞻觀光政策研究室的統計 六都的旅遊人士大為增加 因為六都的財源比較好 他們比較有辦活動 演唱會這個觀光的這個活動也很多所以佔比已經高達72.5%非六都只吸引到27.5%的國際旅客
transcript.whisperx[313].start 8877.611
transcript.whisperx[313].end 8888.691
transcript.whisperx[313].text 那我想這個之前我們的署長也提到說要用三年的計畫來推動北回之巔振興南部的觀光客我想這個目前不曉得這個計畫的進度進度到哪裡
transcript.whisperx[314].start 8890.472
transcript.whisperx[314].end 8913.488
transcript.whisperx[314].text 報告委員 相關計畫部分我們目前提到願待願合訂我們也相關準備工作已經同時展開這部分有個一個政策是希望就是說不要讓遊客集中在大台北都要分流可以做一個分流有關的部分就是可能相關的南部這些景點優化跟行程的串聯我想我們後續展開的部分會持續去推動
transcript.whisperx[315].start 8914.983
transcript.whisperx[315].end 8941.462
transcript.whisperx[315].text 不過這個這個次長跟副處長我還是要提醒我過去很多次也在委員會甚至議員會提到像我們屏東來講我們過去最吃虧就是交通問題這個次長以前在民調局知道嗎我們現在沒有飛機高鐵也沒有到屏東啦鐵路也沒有雙軌道我們怎麼辦對我們來講國外旅客到坐飛機到桃園他要搭高鐵來就一天而已
transcript.whisperx[316].start 8942.993
transcript.whisperx[316].end 8963.381
transcript.whisperx[316].text 對我們來講真的是在旅遊規劃上面很吃虧所耗費的成本也很高未來我想針對這樣一個狀況我們還是要期待交通部優先處理我們的交通問題那甚至我想我們現在許多的部會都在推觀光包含像屏東來講我們有原民有客家有農村有漁村也有市區
transcript.whisperx[317].start 8964.201
transcript.whisperx[317].end 8981.048
transcript.whisperx[317].text 那我們許多的部會會針對不一樣的這個他們各自的業務當然去發展但是我們很擔心一方面疊床加屋一方面沒有整合1加1大於2的力道那這部分觀光署身為一個觀光主管機關是不是有期待做這樣一個部會的一個整合
transcript.whisperx[318].start 8983.799
transcript.whisperx[318].end 8999.237
transcript.whisperx[318].text 報告委員我先說明一下目前在行政院有一個觀光諮詢委員會議這個會議的主要目的就是把各個部會跟觀光有關的都整合在一起上一次會議前幾個禮拜才剛開過
transcript.whisperx[319].start 9000.758
transcript.whisperx[319].end 9020.712
transcript.whisperx[319].text 主席跟我們都要求譬如說相關的部分像原民會文化部這個國家公園署等等這些單位他如果有大型活動或是有一些計畫型的活動應該要提前兩次會議前要把他的資訊放到我們的平台上讓觀光署做統一的宣傳包含國內跟國外
transcript.whisperx[320].start 9021.292
transcript.whisperx[320].end 9037.221
transcript.whisperx[320].text 次長這是你們 平台上來處理 這是你們在會議上你們比較官方的一個處理方式但就我們地方來看我倒覺得很可惜我們一直要強調中央跟地方縣市政府合作的一個機制像依肯定來講觀光署也可以管得到
transcript.whisperx[321].start 9038.422
transcript.whisperx[321].end 9062.614
transcript.whisperx[321].text 國家公益署也可以管得到但是國家公益署他只顧生態他不一定重視觀光那觀光署我也跟署長提過了觀光署是要重觀光所以我們期待我們的部會應該優先去做整併然後再結合屏東縣政府我們怎麼樣把一個活動能夠把地方包含我們一些社團也好把一些這個我們的民宿業者或是旅館業者也好應該整合起來
transcript.whisperx[322].start 9063.334
transcript.whisperx[322].end 9079.208
transcript.whisperx[322].text 讓我們的所謂的一個面向可以點線面把它拉大我不曉得次長有沒有考慮到這些的問題 包委員今天觀光署的專案報告裡面有特別講到一個重點以往是18個觀光圈那我們這一次是整合成北中南東加3個離島
transcript.whisperx[323].start 9080.569
transcript.whisperx[323].end 9102.904
transcript.whisperx[323].text 那所以他最主要的目的就是說 我剛剛報告把中央部位的整合完以後 再跟地方的做整合把他的特色跟亮點 還有區域性的疫情市長這已經說很久了 現在還在說整合會不會太慢這個是一直在做的工作啦 那我剛剛報告延訓院裡面有一個是這個促進產業發展他裡面大概就要協助這些把他的特色找出來
transcript.whisperx[324].start 9103.864
transcript.whisperx[324].end 9118.357
transcript.whisperx[324].text 我是一直期待這個交通部跟觀光署不能只是固步自封啦我真的覺得我也跟署長提過了我要約個時間讓他去聽一聽我們年輕觀光業者的一些心聲他們在觀光這個行業裡面
transcript.whisperx[325].start 9119.338
transcript.whisperx[325].end 9146.233
transcript.whisperx[325].text 招諷的一個困境不只是有觀光署的問題包含像國家公園署裡面的問題也很多我想這個應該要怎麼樣讓這些年輕人他們這麼有勇氣願意投入這個行業但是我們怎麼樣去協助他們讓他們能夠在這條路上行得更順遂行得更好我想這是他們也有很多的創意跟想法讓他們能夠發揮更好的創意吸引更多的國內內委遊客來參觀那我想另外最後一個那個次長
transcript.whisperx[326].start 9147.333
transcript.whisperx[326].end 9163.282
transcript.whisperx[326].text 我一直也提到我們恆春這個五里亭機場的問題那當然我們也感謝民航局針對這個最近辦那個一個陸海空的一個3D的嘉年華活動吸引了非常多的人潮但是我們不是只是要辦機場活化的一個
transcript.whisperx[327].start 9163.942
transcript.whisperx[327].end 9181.4
transcript.whisperx[327].text 我們還是期待這個能夠飛機能夠包機能夠重新從桃園也好松山也好能夠飛到我們的武里亭這個對國外的旅客也好甚至北部的旅客也好節省非常多的時間我想這也是讓杭村武里亭機場可以火化很重要的一個契機
transcript.whisperx[328].start 9183.221
transcript.whisperx[328].end 9198.167
transcript.whisperx[328].text 這部分你能不能願意協助這個部分這個我們觀光署會來處理我們現在有包機補助方案那以往是國際包機這次好像也有談到國內包機的部分我想國內國際已經講很久了都沒起來 國內是不是可以現在啟動應該是華信航空吧
transcript.whisperx[329].start 9204.529
transcript.whisperx[329].end 9228.599
transcript.whisperx[329].text 華信航空我們有找他來那最近應該會去拜訪周縣長包含署長跟民安局長我們都會去拜訪周縣長跟他討論細節市長不要只是拜訪啦真的要落實把這個案子能夠把它促成我們希望能夠有更多這個北部的遊客能夠藉由這樣一個便捷的一個這個包機的一個業務能夠很快速到達我們的恆春目前就是請華信積極來處理包機
transcript.whisperx[330].start 9230.64
transcript.whisperx[330].end 9241.182
transcript.whisperx[330].text 好這部分期待趕快能夠有一個新的進步謝謝委員好謝謝好謝謝謝謝好接下來再請陳樹越委員質詢謝謝主席請主席邀請署長觀光署署長陳署長請
transcript.whisperx[331].start 9266.206
transcript.whisperx[331].end 9283.867
transcript.whisperx[331].text 好 謝謝署長早那今天委員會針對就是900萬國際旅客達標的情形及旅宿業缺工情形振興改善措施來進行的專案報告那我們看到本來我們今年度我們設定的目標也是要
transcript.whisperx[332].start 9284.407
transcript.whisperx[332].end 9308.305
transcript.whisperx[332].text 千萬人次嘛那不久前我們又下修了到900萬嘛900萬的這個國際旅客那以目前來說1到7月的這個來台的一個旅客數才480幾萬嘛那在剩下的這個應該不到半年的時間您有信心有把握可以達標嗎900萬人次
transcript.whisperx[333].start 9312.162
transcript.whisperx[333].end 9338.539
transcript.whisperx[333].text 還要再努力一下下還要再努力那你有沒有去因為要努力的話你一定要有方向有策略而且要去檢討我們是不是有哪些問題要去解決我不曉得說我們署長這邊有沒有去相關的一個評估那我先再請教一下因為我們也是根據最近我們公布的113年來台旅客消費及動向的一個調查所以我們也可以看出來就是說
transcript.whisperx[334].start 9339.6
transcript.whisperx[334].end 9367.766
transcript.whisperx[334].text 對於目前來台的這個國際旅客有一些改變就是在疫情前2019年我們看到來台的旅客以觀光為主的有高達75.7%那到去這個2024年就是2013年來台觀光的人數就只有66%那這個數字就是可以看得出來就是說以觀光為目的的來台的這個人數減少了然後就是
transcript.whisperx[335].start 9369.046
transcript.whisperx[335].end 9391.289
transcript.whisperx[335].text 這樣子的一個現象那當然就是我們要去檢討說為什麼就是來台的就是說要來觀光就是想要來玩的這個人會減少了是不是我們沒有很這個具有吸引力的一個觀光的吸引力或亮點吸引國外的旅客想要來
transcript.whisperx[336].start 9392.63
transcript.whisperx[336].end 9403.735
transcript.whisperx[336].text 另外我們也看到在這個調查裡面有顯示到說在2019年來台的旅客裡面第一次來的有占了57%到2024年第一次來台的
transcript.whisperx[337].start 9409.878
transcript.whisperx[337].end 9422.584
transcript.whisperx[337].text 衰退了10%就是只有46%所以就是說我們要怎樣去開拓這個新課員這個可能都是要去檢討跟有一些策略那是不是請署長可以回答
transcript.whisperx[338].start 9424.059
transcript.whisperx[338].end 9443.192
transcript.whisperx[338].text 好 謝謝委員提問因為觀光是這樣它對大環境的敏感性特別的強那我覺得這兩年呢台灣因為天災的關係確實也會造成外籍旅客對於台灣是否安全這件事情有產生一點疑慮我們看到的是這樣子
transcript.whisperx[339].start 9444.633
transcript.whisperx[339].end 9464.148
transcript.whisperx[339].text 當然說開發新課員一定非常重要所以像我們明年度我們明年度大概針對去年跟今年我們在國旅跟國際旅客上面遇到的一些困難我們提出新的一些政策想法包括說像國際旅客我們希望說用重遊客
transcript.whisperx[340].start 9465.009
transcript.whisperx[340].end 9482.627
transcript.whisperx[340].text 因為我們發現來過台灣的人來過台灣的旅客對台灣的喜好感是特別的強所以我們希望有機會邀請他回來等於是有老朋友帶新朋友再來回台灣這個是我們對新的客人希望用的一個策略是
transcript.whisperx[341].start 9484.569
transcript.whisperx[341].end 9510.08
transcript.whisperx[341].text 對 這個想法我本席是滿肯定的因為我有同樣的一個這樣的問題就是剛好想問署長就是說對於再度來台的旅客我們有沒有相關的一個分析就是說在國際旅客來台灣的然後第二次 第三次來台的這個比例有多高那對於未來我們的就是針對這個方向的空間還有多大因為我們比較這個日本
transcript.whisperx[342].start 9513.141
transcript.whisperx[342].end 9538.553
transcript.whisperx[342].text 日本是我們台灣人很想去的一個地方而且可以說是一去再去有的甚至一年去好幾次可能兩次 三次 四次我有聽朋友說他甚至每個月都去一次日本為什麼日本會有那麼高的一個吸引力讓台灣人甚至是其他國家的人很想去署長有沒有去想過
transcript.whisperx[343].start 9544.125
transcript.whisperx[343].end 9568.332
transcript.whisperx[343].text 乾淨舒服自在好買東西也是一種然後第二個是我覺得日本持續也都有推一些新的項目那這點也都是我們應該要再多更多一點的學習是好那其實在署長上任第一次的質詢我就有提到因為署長是來自業界曾經就是擔任過那個松菸這個
transcript.whisperx[344].start 9572.435
transcript.whisperx[344].end 9585.527
transcript.whisperx[344].text 園區的執行長所以當時你也成功的就是帶領這個團隊推動這個場域的轉型然後吸引了超過千萬人次的一個觀光旅客所以我想就是說我們也是希望借重你這樣子的一個
transcript.whisperx[345].start 9587.347
transcript.whisperx[345].end 9605.994
transcript.whisperx[345].text 經營的一個能力所以在你目前到任應該四個月了那在這四個月我不曉得說有新的做法嗎就是說到任之後到現在就是說想要翻轉台灣的觀光你有新的作為了嗎 新的策略了嗎
transcript.whisperx[346].start 9607.18
transcript.whisperx[346].end 9629.427
transcript.whisperx[346].text 謝謝委員給我機會其實我覺得要去翻轉台灣的觀光當然也不是一蹴可乘那當然第一個還是必須先了解問題在哪裡那其實台灣的觀光我覺得政策相關的都有只是我們的系制度可能做得不到位那那些都是需要花時間去調整溝通的那我記得我也跟委員溝通過
transcript.whisperx[347].start 9630.847
transcript.whisperx[347].end 9655.544
transcript.whisperx[347].text 大家覺得台灣的景點或台灣的節慶沒特色那這件事情我們上次也講說我們希望每個地方找到自己的特色所以對於像相關的補助計畫我們也希望加強地方特色的節慶我們再給予多一點的補助這樣子讓每個地方都找到自己的特色那我也不太支持齊頭市平等的補助
transcript.whisperx[348].start 9656.645
transcript.whisperx[348].end 9681.71
transcript.whisperx[348].text 因為這樣的狀況大家都不會好所以還是希望說然後像我們的區域觀光就是我們觀光圈的區域觀光接下來也要採取的是競爭型的計畫是希望由地方主動來爭取他們到底想要怎麼做因為我覺得區域的特色必須由區域自己形塑那當然我們會組一些輔導委員會來協助大家做一些的輔導跟溝通
transcript.whisperx[349].start 9683.51
transcript.whisperx[349].end 9699.941
transcript.whisperx[349].text 那這個是我們一步一步先往前這樣做因為它跟跨區域的部分是有關係的那在我們現在手上的政策我們就希望說朝那個方向來優化以上先這樣說我想就是打造區域觀光新品牌也是
transcript.whisperx[350].start 9700.521
transcript.whisperx[350].end 9719.332
transcript.whisperx[350].text 行政院的一個施政的一個重點所以我覺得說就這樣剛剛署長所回答的事實上也就是說要建立一個觀光的一個品牌是非常一個重要的所以我覺得說我們台灣的觀光不應該還是只是停留在說這個日月潭阿里山
transcript.whisperx[351].start 9720.432
transcript.whisperx[351].end 9745.854
transcript.whisperx[351].text 就是這些舊有的這樣子的一個焦點我想台灣每一個地方都有它的一個特色從北到南那剛剛署長有提到說因為今年這個天災比較多那因為天災就是有一些區域性那其他的地方其實也是還有很多有待努力開發的一個旅遊的景點那以彰化來說就是一個
transcript.whisperx[352].start 9746.835
transcript.whisperx[352].end 9765.262
transcript.whisperx[352].text 一個很有潛力的一個地方啦那我覺得說比較可惜就是說他的這個品牌還有待去再強化那我們也希望就是說在這個部分我們觀光署希望能夠給予大力的一個協助啦那另外就是說對於我們觀光署啊在行銷台灣的這個
transcript.whisperx[353].start 9768.184
transcript.whisperx[353].end 9789.286
transcript.whisperx[353].text 觀光的資源景點我們看到說在中部地區有提到說中部地區包括苗栗縣台中市彰化縣南投縣及雲林縣等五個縣市就我們觀光署的這個網站的內容的描述裡面有提到每一個縣市的
transcript.whisperx[354].start 9789.907
transcript.whisperx[354].end 9802.464
transcript.whisperx[354].text 一個觀光的特色包括說南投的泰雅度假村九族文化村雲林的劍湖山世界等等這一些都點到了唯獨就沒有講到彰化縣署長請問你怎麼看
transcript.whisperx[355].start 9806.384
transcript.whisperx[355].end 9831.514
transcript.whisperx[355].text 這個我們來改進那我在這邊想恭喜我們蘇維委員的彰化上個月我們的台灣設計展在彰化非常的成功那次的展覽基本上應該把我們彰化的不管是產業特色或人文特色都做了一個很不錯的梳理那這些都會成為我們未來在觀光宣傳裡面重要的養分跟題材
transcript.whisperx[356].start 9832.345
transcript.whisperx[356].end 9860.404
transcript.whisperx[356].text 是 因為以我們觀光的統計來看我們彰化縣的鹿港老街在國旅的景點裡面就是以1730萬人次可以說是第一名八卦山國家風景區也以623萬人次拿下國家級的風景區第一名的一個殊榮所以彰化縣不是沒有一個具吸引力的景點可是在我們的網站裡面都沒有提到我覺得這個應該是
transcript.whisperx[357].start 9862.385
transcript.whisperx[357].end 9874.609
transcript.whisperx[357].text 很不應該的地方 跟我們改進是 好 謝謝好 謝謝好 接下來再請許智傑委員質詢縣主席 我們先請觀光署陳署長陳署長請
transcript.whisperx[358].start 9905.105
transcript.whisperx[358].end 9932.023
transcript.whisperx[358].text 蘇長好 次長您就坐著一起聽因為我在想說觀光其實將來應該是那個格局要不斷的提升科技經濟 觀光經濟其實未來都是台灣整體要走的道路那我先請教一下之前那個勞動部有已經決定要開放旅宿移工了嗎
transcript.whisperx[359].start 9934.1
transcript.whisperx[359].end 9935.39
transcript.whisperx[359].text 是 今天新聞出了
transcript.whisperx[360].start 9935.697
transcript.whisperx[360].end 9964.556
transcript.whisperx[360].text 今天新聞出來 其實我們也爭取很久了那旅宿業其實也真的是救無綱因為其實它真的是蠻辛苦的所以一直就是包括飯店包括他們的旅遊住宿費用降不下來其實跟缺工也有很大的關聯所以這個其實是一個福音那我想請教一下現在旅宿的缺口大概有多少人
transcript.whisperx[361].start 9965.296
transcript.whisperx[361].end 9985.763
transcript.whisperx[361].text 那未來是否能夠有效改善國旅高昂費用的狀況我們在前年調查的時候是六千六那今年度也正在重新調查所以之前的缺口有六千多人那我們現在預計進來有多少人
transcript.whisperx[362].start 9994.456
transcript.whisperx[362].end 10015.689
transcript.whisperx[362].text 開放外籍的部分就是我們中階技術人力是每開放一個1比1的比例但是國內的員工要先加薪比如說裡面員工薪資最低的就給他加2000加2000就可以多一個外籍移工進來所以有沒有總額的限制那是每一家申請公司的10%
transcript.whisperx[363].start 10021.809
transcript.whisperx[363].end 10047.326
transcript.whisperx[363].text 每一家的10%就是每個旅宿業他員工的10%總員工的10%所以總數應該沒有管制是回到申請單位的限制總數沒有限制好OK那我們希望說因為台灣的旅遊整體來講真的是旅宿業的費用真的是跟國外世界比較起來是偏高所以這個我希望說公共所能夠重視整體來做一個規劃好那這個
transcript.whisperx[364].start 10051.874
transcript.whisperx[364].end 10065.823
transcript.whisperx[364].text 旅宿業之外就是包括這個我也私底下跟署長談過很多次就是這個茂林國家風險區納入大清美地區這個部分我不知道部長跟次長知道了嗎
transcript.whisperx[365].start 10072.172
transcript.whisperx[365].end 10090.672
transcript.whisperx[365].text 次長這個我有跟部長跟次長都有提過那這個部分因為都在進行中這個部分因為它如果是擴大範圍市社跟地方政府跟原民會還有原民部落同意的行政程序所以目前還在持續會診中我希望說那個署長跟次長
transcript.whisperx[366].start 10091.713
transcript.whisperx[366].end 10101.83
transcript.whisperx[366].text 就是能夠盡量加強因為現在的旅遊現在已經慢慢的自由行很多了尤其年輕的這一代他到世界各國玩他都是自由行
transcript.whisperx[367].start 10102.979
transcript.whisperx[367].end 10126.874
transcript.whisperx[367].text 那自由行事實上你應該提供他更多的不同的套裝的行程然後讓他去選擇所以你那個套裝行程要大當然他要選擇裡面幾個點他們年輕人自己會去做決定所以就是說整個茂林國家貨品區我是認為說我們都侷限在以茂林為主其實這個比較狹隘那他跟大清美地區都是一個生活圈
transcript.whisperx[368].start 10127.854
transcript.whisperx[368].end 10151.929
transcript.whisperx[368].text 你可以看到寶萊溫泉 紫斑蝶還有客家文化包括我們本來的原住民文化茂林那邊都是再加上其實我們很多宗教生地有都在那一帶所以如果說把這個茂林國家温泉區擴大範圍包括大清美而且其實我還有一個願望其實我們經常到日本去幹嘛泡溫泉
transcript.whisperx[369].start 10153.852
transcript.whisperx[369].end 10164.581
transcript.whisperx[369].text 那如果說台灣外國旅客到台灣來大部分他就是到北投泡溫泉事實上你到南部來你就來我茂林寶來泡溫泉
transcript.whisperx[370].start 10165.908
transcript.whisperx[370].end 10184.138
transcript.whisperx[370].text 用這樣子一個大點因為人家出去就是吃喝玩樂嘛你有一個點吸引人家比如說我現在溫泉的整個格局需要提高以溫泉當作一個大的點然後其他的我們有很多套裝的再把它相加在一起
transcript.whisperx[371].start 10185.038
transcript.whisperx[371].end 10204.73
transcript.whisperx[371].text 事實上這個來推動我整個茂林大旗美地區的國家風險區我覺得這個概念應該是對於茂林本身也好對於大旗美地區會有蠻大的幫助那這個部分署長應該都同意嘛對不對那目前不知道交通部的意見怎麼樣
transcript.whisperx[372].start 10207.246
transcript.whisperx[372].end 10226.185
transcript.whisperx[372].text 目前因為還在這個應該是原民部落還在討論所以程序上如果這邊的特色夠我們是支持現在就是說把那個該有的協調跟協商溝通程序完成現在是跟原民部落他們意見還不一樣
transcript.whisperx[373].start 10233.007
transcript.whisperx[373].end 10256.121
transcript.whisperx[373].text 我請我們景區組組長來補充 時間各位報告因為我們要成立國家風景區我們是要取得部落的會議同意我們才能夠進行去做這個劃設的動作所以必須要部落會議同意所以我們在持續情報管處跟園民會還有當地的部落持續溝通中OK好 那你們盡量溝通因為其實這對部落一定更好啦
transcript.whisperx[374].start 10256.741
transcript.whisperx[374].end 10280.559
transcript.whisperx[374].text 我們整個把人潮帶進來這部落應該會有蠻大的幫助所以我等一下會跟那個主委現在在我辦公室等下我會再跟他談那這個部分就希望說我們這個公共署 交通部一起能夠幫忙更積極的推動好 剩下一分鐘的時間我想我們再看一下現在整個
transcript.whisperx[375].start 10282.764
transcript.whisperx[375].end 10305.305
transcript.whisperx[375].text 我們華山有區域觀光市集然後還有國際旅展這個我希望說將來有機會多到高雄這個我就不談太深下次再講那我要談的就是說其實你可以看到南台灣南高屏的區域經濟其實將來你們在做思考的時候剛剛我為什麼要提醒說大家盡量去整合思考
transcript.whisperx[376].start 10306.331
transcript.whisperx[376].end 10321.894
transcript.whisperx[376].text 茂林要去整合跟我大清美事實上高雄跟南高坪事實上我們可以一起來做思考因為一個區域經濟大概500萬人口左右那我們這三個城市加起來正好500多萬所以這是一個相當
transcript.whisperx[377].start 10323.567
transcript.whisperx[377].end 10348.962
transcript.whisperx[377].text 方便的思考我舉那個日本周遊券跟那個韓國的轉轉卡現在很多年輕人他們都這麼玩他就是我有一個好玩卡我有一個轉轉卡我就是可以選幾個店選幾個社區開多少隻所以我簡單的報告就是說你可以看到日韓的好玩卡大阪周遊券一兩天清一啦首爾轉轉卡
transcript.whisperx[378].start 10350.203
transcript.whisperx[378].end 10373.454
transcript.whisperx[378].text 兩天穿五 我們高雄好玩卡呢三天穿十 美國本來九一九北北機它比較貴一點 兩天一千九那我現在提出個具體的整理就是說是不是公關署我們規劃一個南台灣好玩卡南高屏好玩卡就是把這個串連在一起你如果去澳洲玩那有的人不知道他的習慣只要去樂區就去花錢你知道嗎
transcript.whisperx[379].start 10374.214
transcript.whisperx[379].end 10392.264
transcript.whisperx[379].text 你用這一個點事實上世界國外旅客他至少來我們會有幾個點讓他去做選擇也告訴他我這裡的特色是什麼所以我希望說我們公共署是不是著手來規劃一個類似北北機好玩卡我要規劃一個南高屏南台灣好玩卡這樣OK嗎
transcript.whisperx[380].start 10393.004
transcript.whisperx[380].end 10420.652
transcript.whisperx[380].text 好 我們來輔導跟協助跟幾個地方政府一起來合作因為這個需要中央的資源挹注啦因為你看縣市一般的 你說高雄市你不記得我們台南市的事情我們屏東關的事情都不好意思啦當然大家互相合作需要由中央來號召來統合或者是來召集這樣子會把這個南高屏的區域經濟生活圈那包括旅遊經濟觀光經濟這個可以一起來做思考
transcript.whisperx[381].start 10421.232
transcript.whisperx[381].end 10438.887
transcript.whisperx[381].text 好所以這個也拜託觀光署可以在這方面著手進行好OK謝謝好謝謝好謝謝對啦把餅做大啦那觀光就是要大家一起來謝謝好接下來再請黃建豪委員質詢好謝謝主席主席我們一樣請觀光署陳署長
transcript.whisperx[382].start 10449.724
transcript.whisperx[382].end 10476.957
transcript.whisperx[382].text 觀光署陳署長請署長辛苦了這個台灣的觀光這個我想你從業界來感受應該非常深刻從數據上來講當然今天的專案報告看起來好像一切都是往好的方向走但是如果我們細究一下江東部觀光署的觀光統計資料庫裡面你看到的是
transcript.whisperx[383].start 10478.318
transcript.whisperx[383].end 10503.252
transcript.whisperx[383].text 來台旅客有分為業務觀光跟其他三種不同的目的那在今年跟去年的相比看起來就以比例來講的話今年來講來辦理業務的就來商務客等等的業務需求的比例下降的觀光的比例也是下降的是其他的比例上升的那到底其他是包含什麼組長可以跟大家說明一下到底其他包含哪些東西叫其他嗎
transcript.whisperx[384].start 10506.604
transcript.whisperx[384].end 10518.568
transcript.whisperx[384].text 教學醫療探親教學醫療探親 還有像宗教的部分也會 工作算不算工作工作他不會算在我們的這個裡面工作算嗎請同事補充嗎因為統計這個資料的 來
transcript.whisperx[385].start 10535.897
transcript.whisperx[385].end 10549.011
transcript.whisperx[385].text 企劃組如果是像參加像那個工作如果像賣屎這種產業就是會展這些的部分啊算是在商務算是算算在我們的這個觀光旅客謝謝那請問移工算哪一種來台的部分算業務
transcript.whisperx[386].start 10558.806
transcript.whisperx[386].end 10580.258
transcript.whisperx[386].text 算業務你看一下我們這個按照如果按照細分東南亞旅客再細分的話這個所謂來觀光的比例以越南跟印尼因為我不確定你們現在講的是算業務但是如果按照各東南亞國家來台灣的比例細分下去你看越南印尼菲律賓泰國馬來西亞
transcript.whisperx[387].start 10581.84
transcript.whisperx[387].end 10611.332
transcript.whisperx[387].text 越南印尼來觀光的比例大概佔了兩成三到兩成六其他的比例高達百分之六十五以上所以其他的比例是高於觀光的那我國就我們體感所見的確近年來自馬來西亞來自菲律賓來自泰國的觀光客確實是比較多一點所以在你們的數據上看得出來也確實觀光比例比其他的比例來得高所以我再跟你確認一下你們那個其他比例是
transcript.whisperx[388].start 10613.12
transcript.whisperx[388].end 10631.765
transcript.whisperx[388].text 只有什麼教育這種這種醫療不包含我們來我們來臺灣的教育醫療的比例有這麼高嗎跟委員報告同仁剛剛表示是說會用到其他部分是他的選項如果是複選以上比如說他來的來這次的目的地是有兩項以上選擇就會納入其他
transcript.whisperx[389].start 10633.069
transcript.whisperx[389].end 10650.515
transcript.whisperx[389].text 因為這個東西為什麼要提這個問題就是報案署長我現在在問的時候你們可能一時間也沒辦法回應我那就會產生一個問題就是我們到底來台的觀光客來台灣這些人他到底來做什麼的如果連觀光署在統計數據上呈現出來之後你們都沒辦法很直接直觀的告訴我們
transcript.whisperx[390].start 10651.195
transcript.whisperx[390].end 10678.426
transcript.whisperx[390].text 那對我來講或對觀光署來講會覺得那是不是現在的很多政策方向無法對症下藥所以我是第一個為什麼先放數據我想要就教說到底這些數據代表了什麼意思這個數據的下降跟上升觀光署要提出什麼對策比如說觀光是下降其他比例上升那就剛剛提到了我再細分下去包含越南印尼的所謂其他比例上升的原因是什麼這個是你們有去研究過的嗎它的到底原因那不然你說你跟我說
transcript.whisperx[391].start 10679.346
transcript.whisperx[391].end 10705.059
transcript.whisperx[391].text 其他的比例以越南印尼為例越南印尼的其他比例遠遠的超過觀光比例它的原因是什麼這確實跟我們現在目前的就是外籍人力來到台灣的部分一定是有正相關的好那為什麼要提這都很正常我是要希望說我們大家誠實的面對數字而已那因為如果你把所謂的外籍移工的比例算進來台旅客的話
transcript.whisperx[392].start 10705.959
transcript.whisperx[392].end 10727.008
transcript.whisperx[392].text 但會有一個問題正常來講當然不是每個人都這樣就是說正常以我所理解的外籍移工他們生活模範一年可能至少回去一次到兩次所以他在你們的統計數據裡面他每年至少就多一次的人次的統計所以在這個情況之下我們的數據會失真因為台灣現在85萬的外籍移工合法的還不管那些逃逸的
transcript.whisperx[393].start 10727.788
transcript.whisperx[393].end 10755.981
transcript.whisperx[393].text 就光是合法的外移工就是85萬人那85萬人每一年來回一次就會計入你們的所謂的來台旅客的這個數量那當然看起來數據上我每年就多85萬人競爭家所以我在覺得在這個數字上我覺得未來你們在算旅客在統計整體數字的時候應該切開來處理真正的到底屬於觀光屬於業務我是來台灣觀光的比例到底多少我是來台灣工作的比例那是另外一件事情因為這些人
transcript.whisperx[394].start 10756.901
transcript.whisperx[394].end 10783.71
transcript.whisperx[394].text 來台灣之後他可能他進入不是所謂觀光的消費市場他進入是其他的一般的民生消費他不是在做觀光的事業嗎署長好跟委員報告就是說我覺得他所有的數據都沒有絕對的精準但是有相對的精準相對的可參考性如果統計方式從以前到現在就是這個樣子所以他還是代表了一種趨勢跟一種現狀這是第一種第二種
transcript.whisperx[395].start 10785.871
transcript.whisperx[395].end 10803.033
transcript.whisperx[395].text 其實縱使是移工啦移工他來台灣可能一待一待三個月像我們過去也推過Long stay對於觀光客來到台灣的Long stay這些他在台灣停留他還是會在台灣產生消費能力 經濟力所以這點上我認為他還是對台灣有幫助的
transcript.whisperx[396].start 10803.413
transcript.whisperx[396].end 10828.735
transcript.whisperx[396].text 好沒有署長我沒有否認他對台灣經濟有幫助剛才提到但是來台的目的不一樣那跟你觀光署的業務我認為是不同的事情他來台灣的消費他來台灣可能要在台灣待個三年到三個月到一年等等不管他短期長期他進入的是整個台灣內區市場的消費那這個跟觀光本身未必是有直接相關這我覺得在政策上面
transcript.whisperx[397].start 10829.335
transcript.whisperx[397].end 10853.1
transcript.whisperx[397].text 我們要吸引比如說在最近推什麼吸引東南亞的旅客來台灣所以在比如說馬來西亞跟泰國我們可能做的就很成功在比例上看起來是這樣沒錯但是如果單看以東南亞為例那越南 印尼它來的這個觀光比例相對就比較低嘛那比如說我們在希克的部分可能對越南 印尼的這些旅客來沒有這麼高的吸引力所以我覺得這個數據上還是要把它講清楚那因為今天檢討當然是說
transcript.whisperx[398].start 10855.359
transcript.whisperx[398].end 10875.609
transcript.whisperx[398].text 我們立場當然要檢討說那我們要怎麼樣提升我們的數據當然你剛剛說過去這幾年都是這樣算的但是因為估計這幾年這樣算我們的觀光的這個數字或是我們觀光的這整個的業績就是沒有特別的提升所以我們才希望說在統計數據上能夠更明確讓我們更清楚地掌握到業務上的數據那再來還有一個問題就是說
transcript.whisperx[399].start 10877.31
transcript.whisperx[399].end 10891.827
transcript.whisperx[399].text 不管是從剛剛的數據紀念你們官方提供的報告還是我們從其他商業網站上取得的數據就入境旅遊某種程度上它是整體是下降了一年的觀光人次在2019年是人數上的高峰那這兩年
transcript.whisperx[400].start 10892.968
transcript.whisperx[400].end 10904.075
transcript.whisperx[400].text 來講還沒有回到那個時候的需求但是我國的旅宿業整體來講我們當然可能經濟特別好又怎麼樣旅宿業其實整體是增加疫情前只有1276812768家疫情後到現在為止到目前我們最新數據大約是15721家所以整體增加了23%那
transcript.whisperx[401].start 10913.241
transcript.whisperx[401].end 10921.474
transcript.whisperx[401].text 總房間數增加1.5萬那這樣子會不會造成供需上面有些什麼問題還是說我們在品質的管控上觀光署有掌握到這樣數據的呈現嗎
transcript.whisperx[402].start 10924.091
transcript.whisperx[402].end 10945.672
transcript.whisperx[402].text 謝謝委員 委員提的這個問題確實我們也看見了最主要增加最多的是民宿 民宿大概就增加了大概20我記得20 30%的這個數字那這件事情我是認為說其實全球都在疫情的時候 臺灣的國旅是不錯的所以當時的需求是高的
transcript.whisperx[403].start 10946.292
transcript.whisperx[403].end 10970.158
transcript.whisperx[403].text 那但是疫情結束之後相對的大家就瘋出國了所以這塊現在目前看起來需求是下降所以看起來會覺得說是功過於求主站起來最後一分鐘這個下一張剛剛這個署長在報告說說我們現在推廣觀光很多時候是跟旅行社來合作但是我們也是取了一個數據現階段從這個我們從2019年所謂疫情之後
transcript.whisperx[404].start 10973.999
transcript.whisperx[404].end 11001.489
transcript.whisperx[404].text 整個亞太地區他去出國觀光的這個方式從以前傳統來講大量使用旅行社2019年的時候全亞太地區大概百分之五十過五成的人他會使用所謂線下的方式找旅行社然後只有兩成的人他是透過網路訂購等等那OTA就是所謂像booking.comagoda或是chipadvisor之類這些網站他那時候就兩成五疫情前是這樣但是這幾年不斷的提升到了今年
transcript.whisperx[405].start 11003.255
transcript.whisperx[405].end 11030.837
transcript.whisperx[405].text 到去年跟今年 大概提到三成五三成六左右的這個比例是使用所謂的平台訂購票物或訂購它的這個旅程網路訂購的比例也快到三成那反而是傳統旅行社的模式它下降的降到四成以下所以未來我想我們在推廣國際觀光的時候觀光署在思考這問題的這個方向不應該只限於旅行社應該去想辦法去跟這些平台業者合作推一些
transcript.whisperx[406].start 11031.839
transcript.whisperx[406].end 11038.217
transcript.whisperx[406].text 推卸優惠也好或推卸這個套裝行程也好而不是只找旅行社我不知道署長這個方向上你們會往這方調整嗎
transcript.whisperx[407].start 11039.151
transcript.whisperx[407].end 11061.044
transcript.whisperx[407].text 有的我們16個駐外單位原則上都是有跟OTA當地的OTA平台合作然後我們在國內的部分我們也在上上禮拜才找所有的OTA平台一起來商量大家如何一起來努力不管是國際旅客送進來或者是國內的國旅這塊希望大家都可以一起來為國旅打拚 謝謝
transcript.whisperx[408].start 11061.564
transcript.whisperx[408].end 11087.896
transcript.whisperx[408].text 好 署長謝謝我想就是要隨著科技跟商業市場的變化我們觀光署要努力的迎合這個市場好不好好 謝謝好 謝謝好 接下來再請陳雪森委員質詢好 謝謝趙偉是恭請我們林次長林次長請
transcript.whisperx[409].start 11092.034
transcript.whisperx[409].end 11120.053
transcript.whisperx[409].text 市長 早好久不見 本來不想找你上來好久沒見 謝謝委員前幾天總諮詢前天我提到北竿機場施工的方式 辦辦公的方式因為施工時間實在太長了痛苦級很高我左思右想五月夢回我想起來台中清泉崗那邊是辦辦公
transcript.whisperx[410].start 11122.085
transcript.whisperx[410].end 11142.644
transcript.whisperx[410].text 小港那邊也有啦用辦辦公的方式來做檢討鄉親的痛苦期民航局是您督導的嘛那我有跟你們委辦單位是台灣港務公司港務公司有跟他們講過了那拜託你跟何局長講一下好不好
transcript.whisperx[411].start 11143.928
transcript.whisperx[411].end 11163.465
transcript.whisperx[411].text 是 報委員您知道他做的是跑道的延長所以他是跑道延長對 沒錯海面的工程沒錯那我們飛機在跑道起落的時候那個地方不能有障礙物啦所以這一塊我們盡量來跟工法調整看看看有沒有空間你們盡量做嘛對 因為那邊如果有任何
transcript.whisperx[412].start 11164.566
transcript.whisperx[412].end 11191.738
transcript.whisperx[412].text 因為他延長了50公尺 等於是填土嘛填土為提供層等於的不止50 應該是500500 對不起啊500啦那我覺得他的沉箱跟消波塊可以盡量在因為我們這次也非常感謝港務公司願意來協助港務公司又來我們朝這個方向走好不好那你請回好不好 謝謝因為時間我要找這個陳組長
transcript.whisperx[413].start 11196.328
transcript.whisperx[413].end 11223.675
transcript.whisperx[413].text 稍微請陳署長陳署長請陳署長聽說你身體微漾是 但是我還是很想見到大家報病 報病成功所以為了不加重你的病情所以今天我講話要小聲一點很像是這樣馬祖區域的觀光圈聽說你們觀光署最近有成立18個觀光圈
transcript.whisperx[414].start 11225.253
transcript.whisperx[414].end 11242.635
transcript.whisperx[414].text 中間包含 其中包含了北中南台東還有雞馬棚三個離島對 本來是18個後來變成7個就是北中南東加三個離島能不能說明一下還是請我們旁邊的林署長
transcript.whisperx[415].start 11244.07
transcript.whisperx[415].end 11270.195
transcript.whisperx[415].text 那個連組長來 好不好 不讓你講太多話了好不好 跟委員報告因為我們原先推動了18個觀光圈是歷經了5年的的努力那後來署長認為說18個觀光圈對行銷來講會有自愛所以我們分為4個北中南東4個觀光圈再加上3個離島分別7個觀光圈是為了推向國際然後國民旅遊的
transcript.whisperx[416].start 11271.155
transcript.whisperx[416].end 11298.681
transcript.whisperx[416].text 行銷比較方便那分別四個區域跟三個離島除了金門以外由我們國民旅遊組親自操刀其餘都是由我們的主責管理處13個管理處上線林主長妳也常病毒嗎 沒有吧我看妳戴口罩對 我怕被雙傳染妳怕被雙傳染喔是喔 怕被傳染喔會那再找一個人上來傳染一下
transcript.whisperx[417].start 11301.638
transcript.whisperx[417].end 11328.713
transcript.whisperx[417].text 去年 馬祖很慘馬祖那個旅宿 叫苦連天疫情過後 去年觀光客我們很像不如預期主要當然這裡面還有一些缺工的問題因為旅宿裡面洗床單 備單所以這一方面如果有的話請你們跟勞動部講一下能夠開放對這些外籍勞工多開放來協助我們離島發展
transcript.whisperx[418].start 11334.103
transcript.whisperx[418].end 11339.729
transcript.whisperx[418].text 另外就是高登島高登島當然是國防部的權責單位我是覺得金門大膽二膽都已經開放了
transcript.whisperx[419].start 11346.378
transcript.whisperx[419].end 11373.532
transcript.whisperx[419].text 請觀光署能不能行文給國防部因為我覺得你們去講話比較有力量上面大概兵力不多二三十個人二三十個人守那個島有什麼意義呢讓觀光客也上去嘛 上島嘛現在專案是可以啦尤其這些老兵啊什麼的特許那是可以上島那我去了很多次因為那個資源裡面上面高登島上面的資源蠻豐富的
transcript.whisperx[420].start 11374.783
transcript.whisperx[420].end 11378.334
transcript.whisperx[420].text 蠻豐富的 是不是署長能不能幫個忙 詢問給國防部好不好
transcript.whisperx[421].start 11379.902
transcript.whisperx[421].end 11406.16
transcript.whisperx[421].text 好 那我們因為過去已經兩度行為那拜訪軍方協調一直都沒有成果那我們會持續來協調國防部開放那也會拜託交通部是不是有協請交通部我看你們努力的程度你公文不停的去我會努力的我想他們應該會協助馬祖畢竟已經開放光光了是不是他那個倒拿的對上面的兵來講的話
transcript.whisperx[422].start 11407.681
transcript.whisperx[422].end 11433.853
transcript.whisperx[422].text 非常寂寞 二十幾個人是不是 日子一久了同性戀都有可能二十幾個而已另外就是燈會今年台灣要辦燈會嗎今年燈會在桃園每年都有嘛 對在哪裡今年是在桃園 明年是在嘉義在嘉義我是說台灣有大燈會我們金門馬祖澎湖應該有小燈會
transcript.whisperx[423].start 11436.055
transcript.whisperx[423].end 11451.349
transcript.whisperx[423].text 你們會補助我們錢嗎 尤其過年我記得 元宵啊 有有有會嗎 已經送進來 已經也審那個你們有打回縣政府去了嘛縣長有找我有請他修正一下
transcript.whisperx[424].start 11452.398
transcript.whisperx[424].end 11467.278
transcript.whisperx[424].text 說這個錢一定要有會有嗎有 已經OK了OK了沒有 已經核定了不過沒關係你不OK的話正好在省預算省預算要有就有沒有的話大家一起沒有我們很願意連嘉義也不用了
transcript.whisperx[425].start 11467.899
transcript.whisperx[425].end 11491.044
transcript.whisperx[425].text 跟委員報告我們很願意協助地方政府找到地方的節慶活動那當時他們第一次提的版本就比較不符合我們的補助要點所以希望他們再修正一下大概是這個樣子署長這樣我拜託你們的事你們沒答應我就不要答應我答應我的就要去做我再跟你重複一遍好不好
transcript.whisperx[426].start 11491.86
transcript.whisperx[426].end 11517.535
transcript.whisperx[426].text 你們如果答應我了你要去做你就要去做你如果不去做我就會很生氣我生氣不是只生氣一兩個鐘頭我會生氣很久很久好不好我看到你生氣很久沒有看到我生氣很久了好不好我覺得大家講話都要算話哪一件事我也不講了好不好我覺得大家講好的事情國檢次長你在那邊笑什麼本席在質詢你可以笑
transcript.whisperx[427].start 11519.076
transcript.whisperx[427].end 11537.806
transcript.whisperx[427].text 好啦沒事啦 他是我兄弟沒事那謝謝署長 謝謝趙偉我沒有耽誤你時間嘛我時間到趕快下台非常好 時間管理非常好謝謝 謝謝陳雪生委員 謝謝署長接下來請邱若驊委員質詢
transcript.whisperx[428].start 11548.872
transcript.whisperx[428].end 11554.701
transcript.whisperx[428].text 謝謝主席 主席請光光署陳署長也請副署長陪同陳署長副署長請
transcript.whisperx[429].start 11571.388
transcript.whisperx[429].end 11592.561
transcript.whisperx[429].text 委員好署長好署長 我在這份報告看到來台旅客的現況你們有說到較去年同期成長9%然後另外也公布114年1到7月實際來台的旅客突破478萬人次然後分別是也有提到像日本還有大陸 美加就是各地區的成長幅度
transcript.whisperx[430].start 11593.021
transcript.whisperx[430].end 11603.287
transcript.whisperx[430].text 可是我們在國際的觀光競爭中卻是落後的我們來看2023年旅客回流的比較日本已經恢復到疫情前的85%那韓國也恢復到80%泰國恢復了百分之韓國恢復到90%泰國恢復到80%那我們台灣署長您覺得我們恢復到多少個%
transcript.whisperx[431].start 11614.901
transcript.whisperx[431].end 11630.09
transcript.whisperx[431].text 今年底算應該會在七成還是稍微落後因為這是2023年的數據那台灣在疫情之後只恢復了60%左右那同樣解封跟這些亞洲國家比起來為什麼我們台灣是落後的您認為呢因為是什麼環節沒有跟上是我們的行銷是服務還是我們的品牌還是我們根本沒有方向而且定位也不清楚
transcript.whisperx[432].start 11642.628
transcript.whisperx[432].end 11671.267
transcript.whisperx[432].text 其實影響觀光的項目真的是蠻是蠻容受大環境的影響像去年我們是有0403就是我們花東的地震今年又有風水災的部分這件事情對我們也是會有影響那像關稅啦匯率啦還有我們整個就是疫情之後呢缺工的問題是也蠻明顯的那您認為要請教就是台灣的觀光定位是什麼
transcript.whisperx[433].start 11673.171
transcript.whisperx[433].end 11700.534
transcript.whisperx[433].text 我們台灣觀光的定位觀光立國觀光立國我們的定位在哪裡那奧本希舉例像日本的話他們是用地方敘事來做回訪率在日本我們可以看到他們的地方創生還有文化體驗的旅行然後還有他們每個縣市都有明確的故事那在韓國我們也看到他用文化情感作為品牌記憶譬如說他們的K-culture K-food還是他們的K-tourism
transcript.whisperx[434].start 11700.914
transcript.whisperx[434].end 11721.802
transcript.whisperx[434].text 我們可以看到他們用韓劇他們用韓劇或是用他們的韓團作為觀光的新盈利那泰國呢他們用服務的體驗然後來拉長停留的天數那比如說他們Long Stay非常友善那也願意讓旅客所以也願意停留更久嘛他們也拼CP值而且他們的服務的體系是非常完整的
transcript.whisperx[435].start 11722.082
transcript.whisperx[435].end 11749.701
transcript.whisperx[435].text 他們政府怎麼留住觀光的就是他們觀光服務的人才他們是有一套職業系統的他們不單只是補助而已署長再來我們看到新加坡他們有國家活動的策略那他們做國際的能見度他們辦理國家級大型的活動他們有都市的品牌經營他們有F1賽事那甚至從踏進機場我們就可以看到他們的機場就是一個特色景點那我們台灣呢請署長回答
transcript.whisperx[436].start 11750.902
transcript.whisperx[436].end 11776.532
transcript.whisperx[436].text 跟委員報告其實台灣70%到60%都是山脈給覆蓋的所以台灣的自然景觀是非常有特色的那第二個是台灣的文化歷史脈絡我們的文化多元多元性也是很多國際人士來到台灣非常喜歡的書長既然您提到就是我們的文化還有我們的自然景觀當然是非常的多元豐富那您認為國外旅客對於台灣的觀光印象是什麼
transcript.whisperx[437].start 11778.835
transcript.whisperx[437].end 11792.143
transcript.whisperx[437].text 安全方便但是也有對於自然景觀我們前陣子九月份才剛做完所有出國參展回來之後大家同意的調查報告也特別提到也是這三項
transcript.whisperx[438].start 11793.223
transcript.whisperx[438].end 11813.3
transcript.whisperx[438].text 對於我們的美食 多元文化跟自然景觀都是印象最深刻的但對於台灣就是覺得安全跟方便安全跟方便 好那觀光署針對入境的旅客有做一份調查那也包括日本的JTP海外旅遊的它的意識調查還有韓國的HRI文化觀察報告
transcript.whisperx[439].start 11813.94
transcript.whisperx[439].end 11836.227
transcript.whisperx[439].text 那其中本席也看到全球觀光的網站像是TreeAdvisor Reddit這樣的論壇還有Lonely Planet就是旅遊者的討論資料彙整下來討論我們台灣的觀光他說國際旅客對台灣的印象有三大正面還有三大的不足我們需要來更加的提升那通常有人情味台灣人非常的友善那這是最容易被記住的
transcript.whisperx[440].start 11836.767
transcript.whisperx[440].end 11865.358
transcript.whisperx[440].text 那同樣也覺得我們的飲食非常多樣然後街頭很有活力像是夜市早餐文化還有便利商店那旅客來到台灣會覺得生活感很強那我們的交通系統也相對的是完善的高鐵台鐵還是捷運的密度非常高那很現實的問題我們也要注意到就是國外旅客實際的反應就是我們的景點記憶不強覺得台灣不錯可是沒有覺得什麼是must see非看不可還有非去不可的地方那再來我們的國外的旅客也有提到
transcript.whisperx[441].start 11867.692
transcript.whisperx[441].end 11885.718
transcript.whisperx[441].text 換句話說這就是缺乏我們台灣缺乏品牌故事喔文化跟城市的敘事感非常弱我來到了這個城市我來到了台灣可是我們來到台灣的城市可是我不知道到了哪裡通常除了我們講說101還是日月潭非常國際知名的景點之外那其他的城市呢
transcript.whisperx[442].start 11888.027
transcript.whisperx[442].end 11905.559
transcript.whisperx[442].text 委員說得是其實我也同意委員提的這個意見因為像我自己上任之後也到處去看相關的景點或者是區域的部分我就有發現我們很容易講我有什麼我有什麼但是你有什麼不等於消費者有興趣的什麼
transcript.whisperx[443].start 11907.041
transcript.whisperx[443].end 11921.358
transcript.whisperx[443].text 我就發現到最後就是會變沒有記憶點我們發現我們能很多樣性但是最後沒有記憶點這是我們現在的問題這也是為什麼我們現在要去加強所謂的區域觀光圈的這個部分
transcript.whisperx[444].start 11922.018
transcript.whisperx[444].end 11944.231
transcript.whisperx[444].text 希望因為現在的旅遊模式還是回到一個區域旅遊的模式那多數人認識台灣大概一定認識台北所以他會留在台北旅遊北北街頭所以我們希望說有機會讓中南部的觀光記憶點要再更明顯一點那本席也在這份報告看到我們就是也就是我們的
transcript.whisperx[445].start 11945.291
transcript.whisperx[445].end 11968.474
transcript.whisperx[445].text 目前還是數量導向我們講說要辦活動要拼補住還有我們在計人次可是根據世界觀光組織他有做一個調查目前全球觀光競爭的指標他已經從人數轉向回訪率還有停留的天數還有消費旅遊消費的結構品質那觀光署有沒有注意到這一點我們有沒有去調查我們旅客的回訪率
transcript.whisperx[446].start 11969.305
transcript.whisperx[446].end 11986.138
transcript.whisperx[446].text 是的有的我們謝鳳姐旅客回訪率大概是五十幾%其中最高的回訪率最高的一定是交通比較方便就是旅程比較近一點的地方我聽說我們港澳大概是一年大概有的會來五次左右的部分
transcript.whisperx[447].start 11986.818
transcript.whisperx[447].end 12015.99
transcript.whisperx[447].text 所以距離比較近一點我覺得這是因為時間短的關係比較近的關係那針對其他地區所以其他的部分還要再努力那現在整個消費額比較高的比如說日日消費美國是最高的接下來是歐洲第三大市那他們的停留天數大概大約是多久大約是幾天歐美大概是在12天到14天然後韓國日本相對大概四五天甚至有時候最近因為距離更近一點有時候會在三天四天大概是這個樣子
transcript.whisperx[448].start 12016.57
transcript.whisperx[448].end 12030.461
transcript.whisperx[448].text OK 希望觀光署還是可以加強我們全台各縣市多去盤點凸顯我們各縣市的觀光的它的特色然後同時也把這些特色介紹給國際的觀光旅客我們會努力 謝謝好 謝謝邱若驊委員謝謝好 接下來再請賴慧媛委員質詢
transcript.whisperx[449].start 12045.424
transcript.whisperx[449].end 12050.926
transcript.whisperx[449].text 謝謝主席 請常務次長還有觀光署署長林次長 陳署長請次長 在丹納斯丹納斯風災其實台南的觀光產業也是受到很大的一個重創那我針對的後壁火車站它這是一個非常有文化
transcript.whisperx[450].start 12069.611
transcript.whisperx[450].end 12089.248
transcript.whisperx[450].text 有歷史價值他其實他建制是在日記時代35年就1902年其實他保存的非常好可是在這一次丹麗絲颱風也被重創了非常的厲害這是我的故鄉他是臺灣稻米的一個重鎮
transcript.whisperx[451].start 12090.569
transcript.whisperx[451].end 12112.231
transcript.whisperx[451].text 那我們希望就是說這一個台南市的歷史建築他已經被列為台南市的市定的歷史建築那我們希望就是說在這一次的災後的重建其實我大概大概每個禮拜都會去看他每個禮拜都會去看他我覺得就是說事實上這種修繕
transcript.whisperx[452].start 12114.072
transcript.whisperx[452].end 12139.098
transcript.whisperx[452].text 速度一直非常非常的緩慢所以我這裡特別拜託次長因為這個必須要是跨部會他必須要是交通部文化部還有台鐵的一個協助我們希望投入一個比較完整的一個經會因為在全台灣其實大概就是10座這樣的一個木造那個車站所以就是說特別跟次長做這樣的一個提醒跟拜託謝謝委員 這個我會請台鐵公司來處理
transcript.whisperx[453].start 12143.379
transcript.whisperx[453].end 12164.242
transcript.whisperx[453].text 好 謝謝 謝謝次長 次長你請回座署長在今年的8月6號我們一起就是在那個財政委員會就是召委 我當初是財政委員會的召委 我們一起召開丹納斯風災的觀光產業災後的一個重建的一個座談會 那我主張就是說
transcript.whisperx[454].start 12165.062
transcript.whisperx[454].end 12187.394
transcript.whisperx[454].text 災後立即的一個修復還有產業的一個紓困的協助還有區域觀光的一個再造那當然就是說在這過程裡頭我們特別看到了針對那個台南的兩個點一個是那個北門鎮壓咖鎮壓咖這一個點你們快速的修復了因為基本上他是一個比較簡單的
transcript.whisperx[455].start 12188.795
transcript.whisperx[455].end 12203.169
transcript.whisperx[455].text 然後將軍馬沙溝這一個這一個災後的一個那個重建基本上就是說看起來速度非常的緩慢尤其到那個10月17號才把鑑定的討論完成
transcript.whisperx[456].start 12204.71
transcript.whisperx[456].end 12228.718
transcript.whisperx[456].text 那在這個另外另外的那個馬沙溝的游泳池大樓他的檢疫修繕一直要到116年才開放所以就是說有一些是提前完工了有一些是部分那甚至到後面你看馬沙溝這個是要加速那是不是能加速這一個進度特別要跟那個婷婷署長你怎麼講
transcript.whisperx[457].start 12231.519
transcript.whisperx[457].end 12250.244
transcript.whisperx[457].text 謝謝委員我記得上次有跟委員討論到這件事情就是說因為那個地方是蠻重要的一個地方那這次受損確實也是蠻嚴重的那我們是認為說有必要重新再定位一下他未來的招商他適合什麼樣的類型那你的計畫呢計畫出來了嗎
transcript.whisperx[458].start 12252.967
transcript.whisperx[458].end 12272.842
transcript.whisperx[458].text 還沒好 沒有關係顯然是沒有 調不到那我想這個是加速那在這裡再跟署長做一個探討就是產業上的一個紓困那我也一直跟你們建議說比照那個武漢會員觀光紓困的報告裡頭我們是不是不要用貸款
transcript.whisperx[459].start 12273.402
transcript.whisperx[459].end 12297.259
transcript.whisperx[459].text 而是用紓困金 不要用貸款 用紓困金這個其實會比較積極的就是說那個照顧到照顧到我們的產業 產業的一個恢復你這個貸款給他增加額度 貸款還是要還那我們希望就是用一個紓困的模式是不是用紓困金的一個模式 這個我們也請署長你再拿回去做一個探討
transcript.whisperx[460].start 12298.52
transcript.whisperx[460].end 12308.395
transcript.whisperx[460].text 為什麼 修好了還是要熱起來熱起來的話當然就是說我們希望你這些活動要多辦那多辦的話台南就是一個
transcript.whisperx[461].start 12309.727
transcript.whisperx[461].end 12335.866
transcript.whisperx[461].text 就是一個古廟之都 我們在台南我們的廟宇有四千多間所以就是說 是不是可以做這樣的一個連結因為我們看到了是說 受災受災的一個景點 事實上人數是變少了我們回到上一頁那可是 可是說人數變少了那這個板塊的移動就回到新的一個區域裡頭去你看光是南昆森帶天虎 他
transcript.whisperx[462].start 12336.466
transcript.whisperx[462].end 12357.691
transcript.whisperx[462].text 每個月減少十萬多人每個月減少十萬多人那甚至就是說你那個北門的鎮壓咖他跌幅是九成那重建我覺得是不是只有修繕那你啟動了一個人潮那你結合新的活動這個更重要你們那一天那個八月八月六號去那個座談會我跟你說署長
transcript.whisperx[463].start 12359.051
transcript.whisperx[463].end 12378.208
transcript.whisperx[463].text 我不好意思說你是糊弄我你那一些活動都是舊瓶裝新酒那個毫無創意那只是舊的活動你可能剛接署長你不了解我抱歉給你吐因為你有很多很多的那個那個產那個產業在那個地方你光是一箭酸雕這個已經辦了12年了
transcript.whisperx[464].start 12383.293
transcript.whisperx[464].end 12396.17
transcript.whisperx[464].text 確實有部分是原有的計畫但是是擴大辦理但是也有新增的計畫大概是六個有些新增的計畫也是希望說藉這個機會趕快把它給重振振興起來
transcript.whisperx[465].start 12397.372
transcript.whisperx[465].end 12423.197
transcript.whisperx[465].text 我想署長因為時間有限了我不再跟你深入的探討擴大辦理那如果這樣一箭雙雕還是講那個那個昆森丸平安研究還是你最有品牌的兩個馬拉松自行車的一個一個自行車活動一個馬拉松的一個活動你去看看經費不要是下面跟你講什麼你就講什麼這個我們有一個比對事實上活動還是
transcript.whisperx[466].start 12424.898
transcript.whisperx[466].end 12428.523
transcript.whisperx[466].text 就憑新裝好不好 那署長加油 謝謝 謝謝好 謝謝接下來再請陳俊宇委員發言
transcript.whisperx[467].start 12450.575
transcript.whisperx[467].end 12467.243
transcript.whisperx[467].text 好 謝謝召委 我們有請林次長還有我們陳玉秀署長 次長署長請好 次長午安 委員好我想先就叫我們交通部針對
transcript.whisperx[468].start 12468.991
transcript.whisperx[468].end 12489.997
transcript.whisperx[468].text 目前我們宜蘭的相關觀光的量能我一直期待說宜蘭縣能夠成為我們全台最大的一個觀光大縣之前也就教過我們署長就是針對宜蘭縣是否可以另外再單獨成立一個
transcript.whisperx[469].start 12491.197
transcript.whisperx[469].end 12517.824
transcript.whisperx[469].text 這個風景區管理處那因為署長也大概說明了一下那我也不再這個追問這個問題了那在這個整個宜蘭縣的部分我們是不是可以朝向一個這個觀光圈的模式來進行針對我們的生態文化還有在地產業的資源怎麼去做串聯希望能夠有效的把這個觀光的這個產能把它活化起來
transcript.whisperx[470].start 12518.644
transcript.whisperx[470].end 12536.628
transcript.whisperx[470].text 那近期內我們在推動的這個宜蘭的北方的這個魚鐵五魚村那我想請教就是後續相關的軟硬體設施還有我們相關的觀光行銷的配套活動等等這個部分我們目前這個辦理的情況如何我這個是不是請我們林組長因為軟硬體的部分他比較熟好
transcript.whisperx[471].start 12549.71
transcript.whisperx[471].end 12569.95
transcript.whisperx[471].text 因為我想宜蘭五漁村的推動我們東北角管理處現在客鎮積極的在對於那個五漁村如何做行銷推廣的有一個委辦案今年年底會完成那完成之後我們可能就按照他的結論事項我們就逐一的去去實現這樣子
transcript.whisperx[472].start 12571.701
transcript.whisperx[472].end 12586.586
transcript.whisperx[472].text 好 就都在掌握相關的期程都在進行當中那未來我想因為宜蘭縣本身它這個海岸線就非常的長100多公里那我們北邊有一個這個頭城的漁鐵五漁村
transcript.whisperx[473].start 12589.281
transcript.whisperx[473].end 12609.33
transcript.whisperx[473].text 那南邊從蘇澳到南澳的部分我們是不是也可以試著來規劃一個相關的鐵道觀光的一個路廊也能夠來活化我們南方這個宜蘭的南邊的這些我們觀光景點有沒有可能可以 我們來演繹可以啦 演繹看看那在
transcript.whisperx[474].start 12611.364
transcript.whisperx[474].end 12633.776
transcript.whisperx[474].text 下個會期或是在有機會的時候我可能這個議題我會再請教署長看有沒有什麼進度好另外在我們這個觀光旅宿業方面目前許多業者一直在這個反映的就是缺工的問題缺工的問題那我想就這個問題我想請教我們交通部這邊對於我們整個
transcript.whisperx[475].start 12637.678
transcript.whisperx[475].end 12644.783
transcript.whisperx[475].text 全國缺工的問題在觀光旅宿業我們有沒有什麼相對應的方式可以來協助他們解決這個困難
transcript.whisperx[476].start 12650.677
transcript.whisperx[476].end 12675.958
transcript.whisperx[476].text 剛剛有說明過一個是我們把僑外生擴大他留任那第二個是增加外籍工讀生來台的這個誘因那另外有一個議題就是今天行政院會剛剛討論通過了這個中階人力技術人力可以放在四個工作位置上 是 這個是新增了幾項那我想這幾項如果細節我是不是請觀光署來說好 好 署長
transcript.whisperx[477].start 12683.395
transcript.whisperx[477].end 12704.76
transcript.whisperx[477].text 就是說那個剛 剛公佈的這個中間技術人力呢是本國的勞工加薪兩千同步就可以新增一名那個中間技術人力那是外籍移工嗎 增加的部分是外籍移工 對然後他的總人數不能超過該呃就是旅宿總人數的十趴 十趴 對這是相關的辦法
transcript.whisperx[478].start 12705.64
transcript.whisperx[478].end 12726.758
transcript.whisperx[478].text 好 那這個問題我想是今天比較新的一個訊息那後續的部分我還是請我們交通部觀光署這邊能夠積極的來關心這個議題另外最後一個問題就是我想請教一下我們觀光署曾經推動這個自助入住機的首次購入的補助
transcript.whisperx[479].start 12729.921
transcript.whisperx[479].end 12739.036
transcript.whisperx[479].text 那在宜蘭縣從109年到現在只有11家申請那這到底是什麼原因是因為不好用還是說有什麼其他的原因
transcript.whisperx[480].start 12743.68
transcript.whisperx[480].end 12764.187
transcript.whisperx[480].text 這主要是因為我們有些條件房間數要20間以上有規模的才可以然後如果是背包客背包客棧模式的話床位必須60張以上他才就等於是床位數必須客房數的三倍他才能申請那是宜蘭縣的這些觀光旅宿業相對比較小符合這個條件的比較少嗎
transcript.whisperx[481].start 12767.253
transcript.whisperx[481].end 12786.187
transcript.whisperx[481].text 我們會再繼續鼓勵他們 好 看能不能下修這個我們限縮的條件讓這些觀光旅宿業他們要申請有機會 好以上謝謝謝謝來接下來再請 謝謝接下來再請陳冠廷委員質詢
transcript.whisperx[482].start 12798.416
transcript.whisperx[482].end 12800.284
transcript.whisperx[482].text 趙偉我們麻煩請觀光署署長好 請沈署長
transcript.whisperx[483].start 12813.174
transcript.whisperx[483].end 12829.864
transcript.whisperx[483].text 署長好 署長我想針對一次性這個備品的禁令來做一個討論其實這種一刀切進旅宿的一次性用品的做法我已經聽到不只是我們一般民眾的反應還有國外賓客的反應甚至是包含旅宿業者也有反應
transcript.whisperx[484].start 12831.105
transcript.whisperx[484].end 12854.017
transcript.whisperx[484].text 我認為每一個旅宿業者他都有自己決定怎麼樣可以兼顧環保怎麼樣兼顧禮賓怎麼樣兼顧便利怎麼樣能夠增加他們自己的這個飯店也好精品旅館的這些特色可是這種一刀切的做法你會說可以在櫃台拿你會說可以用其他的方式去補助但事實上就不是事實上我們現在在國內旅遊的時候旁邊就是販賣機就是販賣這些一次性的這個備品
transcript.whisperx[485].start 12856.758
transcript.whisperx[485].end 12876.798
transcript.whisperx[485].text 事實上就是說他們把這個消費者的這個金額他們沒有把它降低啊是轉嫁給消費者啊我認為作為觀光署的署長我們這個國家是多元的價值立場沒有任何一個族群任何一個人可以把他自己的價值觀強壓在其他人的身上
transcript.whisperx[486].start 12877.418
transcript.whisperx[486].end 12901.133
transcript.whisperx[486].text 所以我們當然是支持環保的但是支持環保的方式你應該用鼓勵的方式而不是用這種用上對下的這種盡力的方式所以特別是署長你應該要站在這個我們消費者的立場站在國內屬業者的立場上在想事情那不能夠說一切都是由環保單位他們決定環境單位說的算他是要有平衡性的
transcript.whisperx[487].start 12901.693
transcript.whisperx[487].end 12907.279
transcript.whisperx[487].text 那現在我一直覺得很奇怪就是說為什麼不能夠有差異化這件事情可不可以舒暢 可不可以簡單講一下
transcript.whisperx[488].start 12910.325
transcript.whisperx[488].end 12938.791
transcript.whisperx[488].text 我其實同意委員的想法因為像上禮拜大家在提出來比如說大毛巾不提供這件事情我個人也覺得這件事情對於國際遊客來到台灣的時候它是相對的不友善那這件事情如何兼顧友善服務跟我們的環保政策還是希望得到一個平衡那這件事情我們內部會再重新檢討希望取得一個還是優先提供友善的服務給旅客
transcript.whisperx[489].start 12939.611
transcript.whisperx[489].end 12955.691
transcript.whisperx[489].text 然後又能去落實到所謂的我們環境環保政策那個署長同樣的連鎖飯店不讓我們去日本或者是其其他的這個國家同樣等級的連鎖飯店但是我們現在不只是被平步提供連服務都下降
transcript.whisperx[490].start 12956.314
transcript.whisperx[490].end 12973.448
transcript.whisperx[490].text 同樣等級的飯店甚至我們去其他國外的這些旅館我們付的價格更少不管是匯率的關係還是等等但是他就本國國內因為利用這些禁令這些指令來去做他們降低消費者的這一個這一個他們提供服務的這個標準
transcript.whisperx[491].start 12974.529
transcript.whisperx[491].end 13000.043
transcript.whisperx[491].text 所以不是只有一致性的備品而已相關的服務他們本來在其他的國家同等級的飯店同等級同一個系列的連鎖店他們等於是被降格所以我們當有這樣子的建議之後其實有很多旅宿業者直接跟我們投訴他說這對他們金雲飯店來講他們的這些領導品牌會直接指責我們國家的這些旅宿業者說你這樣是把我們的品牌降格我們要考慮跟你的合作關係
transcript.whisperx[492].start 13001.284
transcript.whisperx[492].end 13019.391
transcript.whisperx[492].text 這樣子有辦法增加國旅嗎增加有辦法增加國旅的價格跟品質嗎你沒有辦法嘛你如果沒有辦法做出差異化特色化的話那你怎麼跟人家競爭而且我們不是說只是來這邊觀光而已我們還有來參與會議的商務旅行人士你要叫他們全部把他們的備品都攜帶
transcript.whisperx[493].start 13020.211
transcript.whisperx[493].end 13049.611
transcript.whisperx[493].text 那我必須還要再強調其實這個你說一次性備品包含他們可以把他們地方性我們去日本的時候都會有他們把他們自己地方性的特殊產品融入在他們的備品裡面給賓客有賓至如歸的感覺或者是超越賓至如歸的感覺這就是他們特殊想要的體驗我們有做這些事情嗎不斷的建立現在已經說要擴張到磷礦泉水飲用水免疫型餐具然後這個所有的這些牙刷牙膏全部的一次性備品全部都不提供而且沒有方案
transcript.whisperx[494].start 13051.111
transcript.whisperx[494].end 13076.172
transcript.whisperx[494].text 請問署長你們有什麼其他方案有沒有跟這個我們其他環保單位來討論怎麼樣可以共融你們要共融不是說用這種懲罰性的用上對下的請用獎勵的方式不要用上對下的方式不是每一個人的價值觀都是一致的那是個多元的國家差異化精品化怎麼樣能夠爭取到各個不同國家的旅客各個不同他們價值不一樣有些人可以去對環保友善的這些旅館旅宿店
transcript.whisperx[495].start 13076.832
transcript.whisperx[495].end 13098.951
transcript.whisperx[495].text 我同意委員的意見就是我們不要用單一的標準去看待我們整個因為觀光是服務業而且我們重視體驗這件事情希望能我們有點改進的機會除了重視體驗之外我不好意思說有許多來台灣的這些商業觀光旅客他就直接跟我們說因為你們不提供牙刷所以我們直接自己就自己出去再大量的購買這樣有比較好嗎甚至
transcript.whisperx[496].start 13100.672
transcript.whisperx[496].end 13128.168
transcript.whisperx[496].text 有些提供的業者是用環保的材質減量的 CO2減量 石油減量等等各種全部都放到他們的材質裡面一樣在散播他們要支持環境的這個方式你知道他們去買 買了一個更貴的這種我不覺得這是好的方式 麻煩署長再寫是 我們再檢討 謝謝好 謝謝因為後面還有比較多委員要質詢所以我們宣布一下等一下黃珊珊委員質詢完畢之後我們再休息五分鐘好 謝謝
transcript.whisperx[497].start 13130.182
transcript.whisperx[497].end 13145.815
transcript.whisperx[497].text 好接下來請武麗華委員質詢謝謝主席有請次長跟觀光署長林次長陳署長請委員好
transcript.whisperx[498].start 13152.029
transcript.whisperx[498].end 13177.165
transcript.whisperx[498].text 市長好在105年的時候發展觀光條例的修法有把一條納進去就是涉及原保地的要會同中央原住民事務主管機關來去嚴定所以在107年的時候交通部跟園民會就會嫌發布了一個觀光地區與風景特定區的一個保育費的收取辦法
transcript.whisperx[499].start 13177.97
transcript.whisperx[499].end 13193.722
transcript.whisperx[499].text 那也就是說原鄉已經有一個法源可以來收取觀光保育費那也因此呢其實我過去在擔任屏東縣政府原民處長的時候有幫忙霧台鄉就是協助他們去成立自然人文生態景觀區
transcript.whisperx[500].start 13195.323
transcript.whisperx[500].end 13218.445
transcript.whisperx[500].text 那目前應該是全國第一個那這個當中其實也有一個觀光保育費的收取辦法就是說前項公告收取觀光保育費的範圍涉及原保地的要先會商當地的原住民族事務主管機關所以我們看到在109年7月那霧台鄉它就劃設了自然人文生態景觀區
transcript.whisperx[501].start 13219.966
transcript.whisperx[501].end 13243.262
transcript.whisperx[501].text 而且呢有開始收費那另外呢全國第一個離島成功案例呢在屏東小琉球也在113年的4月1號就是公告劃設那成為我們離島第一個觀光保育費的一個收取所以我想請教一下就是我們目前像這些跟在我們山區原保地的
transcript.whisperx[502].start 13243.642
transcript.whisperx[502].end 13252.415
transcript.whisperx[502].text 花東縱谷 國家風景區 山山 日月潭東海岸 阿里山 茂館處就是有沒有在收取觀光保育費
transcript.whisperx[503].start 13256.165
transcript.whisperx[503].end 13273.142
transcript.whisperx[503].text 好來署長請確實現在目前除了說您剛剛提的這兩個案例有之外其他部分目前並沒有但是我覺得如果國家下潮永續觀光發展確實是應該要研究一下那這件事情我們未來會再來演繹
transcript.whisperx[504].start 13273.723
transcript.whisperx[504].end 13301.478
transcript.whisperx[504].text 好 謝謝署長那我希望就是後續也可以提供一些書面資料 謝謝那另外一個呢其實在鄭文燦市長的時候他有爭取北橫國家風景區那我們的族人設計在這個北橫的有復興區還有宜蘭的大同鄉所以呢他們很關切那我在新聞上就是有看到就是那個卡關的旅遊桃園的關旅局是這樣回應
transcript.whisperx[505].start 13302.498
transcript.whisperx[505].end 13321.896
transcript.whisperx[505].text 他說因為涉及到60處的原住民部落要做諮商同意然後又提到說要怎麼跟他們共管所以卡關很久所以我這邊是想要特別了解一下就是目前的進度如何有沒有什麼樣的想法
transcript.whisperx[506].start 13323.959
transcript.whisperx[506].end 13351.697
transcript.whisperx[506].text 報告委員有關於北橫國家風景區的深設那峽館內大概有60個原住民部落那其中我們最近的一個數據是有30個部落會議已經同意他們也有部落會議的機制存在那至於沒有的部分他們就說商請原民會也同意用諮商會議的方式去處理所以你們預期還要多久
transcript.whisperx[507].start 13352.517
transcript.whisperx[507].end 13372.126
transcript.whisperx[507].text 這個部分我們可能會跟桃園縣政府 桃園市政府還有園民會這邊我們會積極主動的去請這兩個單位我們會來主責去來做協調的工作那我也希望後續能夠收到一個書面的報告那最後一個小問題就是說我看到2024年
transcript.whisperx[508].start 13373.927
transcript.whisperx[508].end 13399.81
transcript.whisperx[508].text 霧峰他有納入三商管理處那所以呢在中興新村我們也看到新聞媒體報導就是他的環境優化拼觀光那在日月潭管理處呢其實他也在像信義鄉地利村他也去做了一些就是觀光景點的畫設我要說的是大家都很喜歡
transcript.whisperx[509].start 13401.246
transcript.whisperx[509].end 13419.511
transcript.whisperx[509].text 大家都好喜歡我們原住民不喜歡國家公園但是好喜歡風景管理處那但是我要說的是因為我之前我在幾年前就是有啟動說希望可以延伸貿管處的北往那馬下
transcript.whisperx[510].start 13420.772
transcript.whisperx[510].end 13441.25
transcript.whisperx[510].text 即便他們比較喜歡是在阿里山因為他們靠阿里山比較近那屏東這邊的話希望往南延伸到有北大吳山的這個太武鄉那我知道說明會好像也都辦完了那我不太曉得說進度到底如何因為感覺也是卡關很久了
transcript.whisperx[511].start 13444.079
transcript.whisperx[511].end 13464.457
transcript.whisperx[511].text 部分不管是申請擴大範圍還是你設立我想這個主導權都是在地方政府還有在第一線如果他們有需求可能就要由他屏東縣政府他們能夠提報那個資源說明書上來我們就會所以是縣政府還沒有提報
transcript.whisperx[512].start 13465.557
transcript.whisperx[512].end 13491.745
transcript.whisperx[512].text 所以是兩邊高雄市府跟屏東縣府還沒提報他們要提報資源說明書我們才能夠進入到畫社擴大的程序我想地方政府是樂意的因為我以茂林來講好了我自己的家鄉其實他享受這個資源三十多年了那我覺得這個觀光資源的效益應該要外溢要不然他跟旁邊的這些原鄉其實經過二三十年
transcript.whisperx[513].start 13492.526
transcript.whisperx[513].end 13509.974
transcript.whisperx[513].text 其實差異性就出來了更何況原鄉本來就應該處處都是風景區那希望有這樣的一個支持那其他的部分我們會來努力好不好好 那也希望得到一個進度的說明報告好 謝謝市長 謝謝署長 謝謝主席好 謝謝接下來再請翁曉琳委員質詢
transcript.whisperx[514].start 13527.207
transcript.whisperx[514].end 13540.969
transcript.whisperx[514].text 謝謝主席 那有請次長和署長林次長 陳署長請委員好次長好不知道次長 署長平常會不會看報紙
transcript.whisperx[515].start 13544.836
transcript.whisperx[515].end 13566.525
transcript.whisperx[515].text 網路報那我就不知道說你們有沒有看到這份新聞現在就在講說很多的老街都冷清清然後店家不是做二修五要不然的話就是提早打烊還有有些譬如說像新莊老街他們現在只剩下只有娃娃機很多的老街生意都做不下去那麼
transcript.whisperx[516].start 13568.286
transcript.whisperx[516].end 13582.577
transcript.whisperx[516].text 當然新聞上面這邊是講的是英格老街但是事實上不管是九份淡水還有烏來然後三峽老街其實都有同樣的狀況那麼這些也凸顯出就是說現在老街商圈真的是經營非常的困難
transcript.whisperx[517].start 13583.357
transcript.whisperx[517].end 13612.398
transcript.whisperx[517].text 那我們來看看其實國內的旅遊基本上也是很不樂觀根據觀光署自己的報告你們觀光署自己的報道就是中秋節雙十節光復節等三個年假全台旅宿訂房率都不到五成所以由此可見台灣的觀光我們的國旅問題真的是很嚴重請問這個署長跟次長你們認為說今年的國旅的景氣是好的嗎
transcript.whisperx[518].start 13615.638
transcript.whisperx[518].end 13640.035
transcript.whisperx[518].text 你們認為是好的嗎國旅的部分根據觀光署的報告今年是有到應該是有2.2億人次是人數是多但是這個停留天數相對少特性已經有點轉變就是變成當日我跟你講我個人認為說人數固然重要更重要是說它能夠帶來給台灣的觀光經濟以及它的消費力有多高
transcript.whisperx[519].start 13640.675
transcript.whisperx[519].end 13659.888
transcript.whisperx[519].text 來了一堆人但是不消費我們的觀光經濟大家不消費然後我們經濟就不會好尤其對觀光業者還有開店的這些商家他們沒有錢賺這是一個很現實的議題我們知道其實從疫情之後民進黨政府因為跟大陸的關係惡化所以也連帶的影響到大陸客來台的觀光經濟我們來看看這10年來的
transcript.whisperx[520].start 13671.115
transcript.whisperx[520].end 13684.1
transcript.whisperx[520].text 到今年只剩下44萬當然雖然說比去年23萬要成長一些但是等於說少了10倍就現在就是還應該是少了90%只剩下這個1%那麼如果說從觀光經濟來看的話2015年當時也還有44%
transcript.whisperx[521].start 13692.483
transcript.whisperx[521].end 13715.461
transcript.whisperx[521].text 就是陆客对于台湾带来的观光经济占比44%十年之后到现在也只有占比5%所以也都是十倍之差那么我想在第一线的业者是感受最深像那个日月潭的这个开船艇的船家他就说这个陆客没来他们的业绩非常的惨淡那我想请问署长就说这些
transcript.whisperx[522].start 13716.241
transcript.whisperx[522].end 13728.712
transcript.whisperx[522].text 因為民進黨政府跟大陸關係的惡化所帶來的我們的觀光經濟的損失應該由誰來負責觀光署難道沒有責任嗎交通部沒有責任嗎
transcript.whisperx[523].start 13729.532
transcript.whisperx[523].end 13754.942
transcript.whisperx[523].text 包委員疫情後逐步在恢復那恢復的過程中我們是希望能夠透過觀光小兩會就所有的旅遊安全跟這個健康有序的發展能做一個協調很好就是剛剛次長你們講到說觀光小兩會我記得就是說署長您在第一7月24號第一次來立法院備詢的時候在回答陳雪生委員的質詢您當時有說您會開會後來你們到底開會了嗎
transcript.whisperx[524].start 13759.318
transcript.whisperx[524].end 13783.665
transcript.whisperx[524].text 你們所謂的觀光小兩會你們實際上有開嗎到目前為止有開嗎我請旅行業組組長主席委員好我是旅行業組組長我們2月的時候其實已經發文給觀光小兩會的海旅會但海旅會到現在都目前為止都沒有正式回文所以我們也希望他們可以盡快回文所以是他們不想跟你們談
transcript.whisperx[525].start 13785.785
transcript.whisperx[525].end 13810.47
transcript.whisperx[525].text 是這樣嗎還是你們有沒有積極去做嘛對不對你們當時就說是會說當時預計七月底的時候會有開會就看起來都沒有進展總之你們現在都沒有進展那我現在要講的就是說我預期你們接下來也不會有什麼進展因為你們對於這個我們的大陸團到現在為止你們都還沒有解令你們進團令一直到現在都還持續著對不對你對於大陸來講他為什麼還要開放他的觀光客來
transcript.whisperx[526].start 13810.95
transcript.whisperx[526].end 13819.695
transcript.whisperx[526].text 跟委員報告我們其實就是想要跟陸方表達說希望觀光小連會先開會那陸方到現在都沒有給我們不用開那麼多的會了大家你們只要是政策一鬆綁他們那裡就會釋出更多的這個路客來我們現在看看日本 韓國 新加坡這些國家
transcript.whisperx[527].start 13831.801
transcript.whisperx[527].end 13851.149
transcript.whisperx[527].text 他們一直都不斷的在爭取入客觀光署沒有看到嗎交通部沒有看到嗎陸委會沒有看到嗎我必須說現在陸委會好像儼然是變成所有機關的這個太上機關你們都變成他們的下屬機關了所有事情都要配合陸委會做你看日本這個放寬入客簽證帶來給他們這個日本的消費的經濟大破3000億啊
transcript.whisperx[528].start 13858.72
transcript.whisperx[528].end 13885.222
transcript.whisperx[528].text 韓國現在也是說以後對於大陸觀光客開放免簽新加坡也是根據他們的這個旅遊統計報告也是給他們帶來35.8億的這個這樣子的一個觀光經濟是在各國的旅客當中貢獻最大的對不對 交通部觀光署你們真的是要檢討你們到底有沒有捍衛這些國內的觀光業者他們的權益委員我們也是希望陸方可以盡快跟我們來開會啦
transcript.whisperx[529].start 13886.806
transcript.whisperx[529].end 13907.75
transcript.whisperx[529].text 路芳你們都沒有釋出山 你們一直要求人家我是覺得說這個不需要再跟路芳開你們只要是自己主動釋放利多他們就會配合的一起他們就會跟進開放更多的路客進來我對你們其實已經非常的失望了那這次也會把我的失望體現在你們的預算上面 謝謝好 謝謝
transcript.whisperx[530].start 13916.686
transcript.whisperx[530].end 13942.788
transcript.whisperx[530].text 來請回我剛有宣布不好意思因為這個還是要休息一下所以等一下黃珊珊委員之後休息五分鐘先跟王委員說明一下接下來再請麥育森委員質詢謝謝主席有請光光署署長來陳署長請
transcript.whisperx[531].start 13951.192
transcript.whisperx[531].end 13954.221
transcript.whisperx[531].text 委員好好 市長好
transcript.whisperx[532].start 13956.072
transcript.whisperx[532].end 13980.802
transcript.whisperx[532].text 根據審計部113年度總結算審核報告觀光署為了加速恢復旅宿業收新冠疫情的影響中央政府議後強調經濟特別預算中編列了10億元以每人每月補助5000元的方式
transcript.whisperx[533].start 13982.043
transcript.whisperx[533].end 13998.437
transcript.whisperx[533].text 給新增聘僱防務及清潔人員依估補助業者增聘於一萬六千人但實際上從光光署昨天提交的專題報告中在這個專題報告中裡面我們的理事業在補助期間聘僱的
transcript.whisperx[534].start 14006.583
transcript.whisperx[534].end 14029.441
transcript.whisperx[534].text 員工僅僅增加了2811人不止於疫情目標落差將近8倍就連112年委託調查的李樹葉房屋清潔人力缺口6600人的需求都無法滿足
transcript.whisperx[535].start 14030.482
transcript.whisperx[535].end 14044.783
transcript.whisperx[535].text 一天到晚就吵著立法院不給預算給了執行效率又這麼差補助都沒有人申請還是問題在哪裡就在你們報告中裡面寫的
transcript.whisperx[536].start 14047.389
transcript.whisperx[536].end 14075.021
transcript.whisperx[536].text 委員要回答嗎是謝謝委員看到這個問題確實因為我們的優先是先用本國勞工來補足人力的缺口那因為現在目前台灣就是進入高齡化的社會所以現在目前所謂的防務跟清潔確實在於長輩上面可能比較有點體力上面比較不足所以申請的人確實不如預期這是事實
transcript.whisperx[537].start 14076.201
transcript.whisperx[537].end 14101.444
transcript.whisperx[537].text 所以我們才會後續又爭取了蠻多新的項目包含了說橋外生畢業後留台或者是說畢業生畢業的橋外生從事旅宿服務工作都提供更多的彈性那另外也是放寬的實習生最後我們當然是更鼓勵是目前今天剛公佈的是中介技術人力的開放以上先做這樣說明
transcript.whisperx[538].start 14103.117
transcript.whisperx[538].end 14122.326
transcript.whisperx[538].text 好 因為你說的我覺得這個不只是問題啦 因為落差那麼大嘛所以因為我看到我們剛才你有說 但是我們就是跟觀光署在5月的時候也公布 有公布說禮數月在下半年就是
transcript.whisperx[539].start 14123.226
transcript.whisperx[539].end 14147.058
transcript.whisperx[539].text 在開放引進移工但是後來就被勞動部長打臉表示就是說有觀光署有交換意見但跨國勞動力還是主要是勞動部所以他們在研議中還有沒有實成所以四個月過去了所以我們沒有看到這樣的結果所以感覺就是網內互打產業所產生的問題還是沒有解決
transcript.whisperx[540].start 14154.417
transcript.whisperx[540].end 14167.022
transcript.whisperx[540].text 對但是你剛才說我們的行政院有說嘛對但是行政院院長是不是行政院長有說我們昨天有看到新聞
transcript.whisperx[541].start 14168.936
transcript.whisperx[541].end 14191.357
transcript.whisperx[541].text 但是會不會又被哪一位部長又打臉了呢有跟觀光署討論過嗎你們事先知道這件消息嗎我們觀光署是主管是我們理事業的主管機構這些措施是否對產業的缺工有幫助
transcript.whisperx[542].start 14192.418
transcript.whisperx[542].end 14205.684
transcript.whisperx[542].text 疫情能補足多少人力的缺口什麼時候執行能否現在給我們一個時間點或者拿出具體的時程表
transcript.whisperx[543].start 14207.401
transcript.whisperx[543].end 14232.583
transcript.whisperx[543].text 謝謝委員提問這個過程我們都一直跟勞動部有很多往返的討論那也把產業的狀況跟實際上面可行的方案因為勞動部也得關注到國內的這些本國勞工的權利跟義務那公屋署的對旅宿業的部分也會希望說在產業不影響產業發展也能幫助產業發展的情況之下去跟勞動部溝通
transcript.whisperx[544].start 14233.764
transcript.whisperx[544].end 14245.465
transcript.whisperx[544].text 那這件事情也是這樣來來回回的那直到是昨天勞動部跟行政院院長報告過之後通過所以原則上這個政策應該就是確定確定往下走了
transcript.whisperx[545].start 14245.928
transcript.whisperx[545].end 14270.321
transcript.whisperx[545].text 所以你們是不是有往下走因為我們看到報告裡面沒有寫昨天我們才看到這樣子的宣布所以你們都不知道是勞動部跟行政院討論所以你們是現在提不出你們的時程表也沒有說你們怎麼做 都沒有
transcript.whisperx[546].start 14271.531
transcript.whisperx[546].end 14290.081
transcript.whisperx[546].text 還是說你們完全不知道這件事因為我們還是得得到勞動部正式的通知可以啟動相關的作業我們才能進行那這個部分是前前後後的相關的報告跟討論都是跟勞動部是沒有障礙的都是有同步在溝通的
transcript.whisperx[547].start 14291.555
transcript.whisperx[547].end 14308.944
transcript.whisperx[547].text 因為我們要的是政府的態度所以我們以跨部會要密切的合作才清楚自己的責任歸屬因為我們百姓都是弱勢所以缺工不是
transcript.whisperx[548].start 14310.325
transcript.whisperx[548].end 14328.801
transcript.whisperx[548].text 未來是是現在進行是每一天的拖延都是對基層勞工與產業的傷害政府必須要立即行動否則台灣的產業就競爭力占為就是嚴重的被你們就是
transcript.whisperx[549].start 14329.542
transcript.whisperx[549].end 14346.939
transcript.whisperx[549].text 拖累拖垮所以我們希望說我們要跨部會真正的合作不要說別人說的今天行政院宣布等一下另外一個部長說沒有啊沒有啊一直在拖啊希望我們署長要來就是跨部會共同來去
transcript.whisperx[550].start 14347.399
transcript.whisperx[550].end 14372.784
transcript.whisperx[550].text 推廣去努力才能達到這個目標我們會積極的辦理因為這是產業需要的謝謝好謝謝麥委員謝謝蘇東請回剛剛本席有諮詢過那也再一次跟我們委員報告就是在這個今天行政我們排這個案專案之前那我們要資料也沒有辦法要到那不過今天我們排了這專案同時間行政院就通過院會這個缺工的議題
transcript.whisperx[551].start 14373.604
transcript.whisperx[551].end 14402.377
transcript.whisperx[551].text 那我剛剛要求觀光署交通部這邊也要針對說後續開放的一個狀況辦理的一個方式也要給我們交通委員會所有委員以及關心這個議題的蔓越真委員一份資料好接下來再請黃珊珊委員自選謝謝主席我請次長跟署長林次長陳署長請
transcript.whisperx[552].start 14406.84
transcript.whisperx[552].end 14421.972
transcript.whisperx[552].text 委員好是 市長我想先問交通部上一次因為我在這邊質詢說奧地利不承認台灣的駕照那經過外交部的努力現在奧地利政府已經同意了那比較嚴重的是9月26號羅馬尼亞的事件
transcript.whisperx[553].start 14424.734
transcript.whisperx[553].end 14443.344
transcript.whisperx[553].text 我們的攝影達人在羅馬尼亞距離匈牙利部到100公尺被兩名警察攔下來說不承認台灣台灣不在維也納公約簽署名單而且認為台灣駕照是違法文件涉及刑事犯罪扣押駕照而且揚言送給中國大使館交通部這個案子的處理狀況怎麼樣已經半個月了
transcript.whisperx[554].start 14454.181
transcript.whisperx[554].end 14481.167
transcript.whisperx[554].text 公共運輸司先說明我們有努力過了嗎上次交通部很幫忙這次呢奧地利的部分我們有請外交部幫忙所以已經通過了那這個部分我們再來這個個案而且這個國家他在我們國際駕照的簽署國在交通部網站上是告訴國人可以使用而且也在我們自己交通部公路局的互惠相關有羅馬尼亞
transcript.whisperx[555].start 14482.367
transcript.whisperx[555].end 14491.334
transcript.whisperx[555].text 可是我們在國外遇到這樣的狀況我們會再請外交部來做協助我要問的是這個案子到今天為止有沒有任何處理
transcript.whisperx[556].start 14492.897
transcript.whisperx[556].end 14520.59
transcript.whisperx[556].text 因為你們只看到新聞沒有人處理是嗎 次長我給你一個禮拜的時間處理的結果後續不管是不是這位我們其他的國人還有沒有可能再受到這樣的待遇我想我們會跟公路局第一個先把您剛講的網站上的你要給他警示啊如果他這種國家是這樣我就不要放在我的網站上啦第二個我要發動警示說讓國人不要去啊
transcript.whisperx[557].start 14521.67
transcript.whisperx[557].end 14539.45
transcript.whisperx[557].text 在這邊還把你抓起來是還把你送到中國大使館這什麼國家這個我們來好不好交通部我給你一個禮拜的時間請你把這個個案以及羅馬尼亞對我們國家這樣子的不友善我們就以牙還牙以眼還眼了解我們會同步確認以後也通知外交部請他們幫忙
transcript.whisperx[558].start 14540.27
transcript.whisperx[558].end 14562.557
transcript.whisperx[558].text 接下來是我們觀光的問題剛剛大家已經講了十億元加進去一萬六千人只來兩千六署長我想問一下我們研究過現在問題除了剛剛講的缺工之外其實不是缺工是也不是缺錢是為什麼台灣的旅宿業沒有人願意做房屋不知道辛苦
transcript.whisperx[559].start 14567.489
transcript.whisperx[559].end 14576.669
transcript.whisperx[559].text 好啦 部長 署長 我加給你個數字喔台北精華酒店以他今年1月1號的一個房價一個晚上高達大概新台幣2萬6千塊
transcript.whisperx[560].start 14578.757
transcript.whisperx[560].end 14597.036
transcript.whisperx[560].text 在香港的香港麗金酒店跟他同等級大概是一萬六千塊也就是說台灣的五星級飯店的房價跟國際級的大都市同等級的房價我們比人家一個房間一個晚上足足多了一萬塊台幣
transcript.whisperx[561].start 14599.147
transcript.whisperx[561].end 14627.687
transcript.whisperx[561].text 不是沒有錢啦是沒有把錢給我們該給的人啦香港的京華酒店現在房屋院的薪資他們在招聘的是三萬三千塊台幣起跳香港的麗金房屋他們每個月的薪水是九萬塊台幣起跳我們不是缺工我們是缺我們的相關旅宿院沒有把這些錢給到這些該給的人我們的收的錢沒有比人家低喔
transcript.whisperx[562].start 14629.349
transcript.whisperx[562].end 14640.68
transcript.whisperx[562].text 如果按照這樣的比例來說房價比人家高一萬一個晚上但是我們的薪水是人家的三分之一不到這才是問題
transcript.whisperx[563].start 14642.905
transcript.whisperx[563].end 14670.01
transcript.whisperx[563].text 當然我們不是說房價不能這麼高而是你對標了國際級的大飯店大城市但是我們的薪水沒有對標國際這才是問題兩位如果這件事情只是中央我們給錢給到他他沒有給到底下或者是他的工作環境不好現在所有你們的報告裡面說住宿跟餐飲業離職的主因就是待遇不符期望
transcript.whisperx[564].start 14671.826
transcript.whisperx[564].end 14683.633
transcript.whisperx[564].text 你今天開放移工對我們的旅宿業的成本下降一樣國人還是沒有增加他的收入這才是我們的問題吧兩位你們的意見呢確實如委員講的那我們現在是積極的在鼓勵我們的旅宿業要幫同仁加薪
transcript.whisperx[565].start 14693.14
transcript.whisperx[565].end 14714.447
transcript.whisperx[565].text 加薪要成為他的一些相關的KPI而且要成為政府要不要給他們這些相關資訊的或者是將來有協助補助的條件現在的中階技術人力他是連動的他是一定要先幫本國勞工先加薪他才能使用中階技術人力
transcript.whisperx[566].start 14715.707
transcript.whisperx[566].end 14731.393
transcript.whisperx[566].text 所以我剛剛講的這個才是問題嘛他們台灣的房子房價國人為什麼有這麼多的疑慮因為台灣大部分覺得台灣國旅的房價是高的但是為什麼找不到人是因為我們沒有把房價的反應讓
transcript.whisperx[567].start 14733.467
transcript.whisperx[567].end 14747.506
transcript.whisperx[567].text 基層的員工受惠這才是問題我說缺工錯 我們不是缺工我們是缺該給該給的人而是想做這行的人他得不到該有的報酬這才是問題
transcript.whisperx[568].start 14748.507
transcript.whisperx[568].end 14771.615
transcript.whisperx[568].text 然後現在開放的移工可能這個問題又會更雪上加霜我覺得應該是怎麼樣保障本國勞工讓這些業者其實他們得到的利益應該怎麼樣下放給基層員工這個可能才是你們想要改革最重要的方向而不是只是單純的開放移工當成解藥好嗎好另外那個部分就請一個禮拜謝謝主席好謝謝
transcript.whisperx[569].start 14774.96
transcript.whisperx[569].end 14778.544
transcript.whisperx[569].text 好 謝謝那我們再休息五分鐘五分鐘之後繼續開會謝謝
transcript.whisperx[570].start 14795.073
transcript.whisperx[570].end 14801.455
transcript.whisperx[570].text 我們去發喊外交部沒有問題但是外交部去
transcript.whisperx[571].start 14822.65
transcript.whisperx[571].end 14836.522
transcript.whisperx[571].text 對 對 對 所以我剛剛說我們會找外交部好 好對 對 對 對對 對所以是外交部 因為我剛剛看新聞是是外交部
transcript.whisperx[572].start 15098.237
transcript.whisperx[572].end 15109.443
transcript.whisperx[572].text 好請列席官員盡速就座交通委員會現在繼續開會接下來請王宏威委員質詢好謝謝主席請我們長賜還有我們觀光署署長林次長陳署長請
transcript.whisperx[573].start 15127.625
transcript.whisperx[573].end 15132.504
transcript.whisperx[573].text 好 吳彥浩好 首長今天好像有感冒 辛苦了
transcript.whisperx[574].start 15133.83
transcript.whisperx[574].end 15160.726
transcript.whisperx[574].text 我想今天主要的焦點都聚集在就是我們現在的觀光人的次數其實一直沒有辦法達成目標在今年初因為去年我們沒有辦法達成我們設定的目標在今年初我們的部長陳士凱他接受中央社的專訪他說他要整頓觀光他要爭取高端客
transcript.whisperx[575].start 15161.807
transcript.whisperx[575].end 15189.295
transcript.whisperx[575].text 那顯然今年應該就是把整個提升交通這觀光客作為交通部的一個重點施政目標但是到現在為止大家可以看到其實高端變成我們還是房價很高端房價很高端那請問一下我們的高端的觀光客在哪裡呢我們今年以來到底
transcript.whisperx[576].start 15190.799
transcript.whisperx[576].end 15209.451
transcript.whisperx[576].text 部長口中所說的高端觀光客高端客到底在哪裡而且我們如果看這些指標來說那麼甚至比這個疫情前我們如果看我今天框起來的這個是來台旅客每人平均的每人每日消費
transcript.whisperx[577].start 15210.712
transcript.whisperx[577].end 15224.363
transcript.whisperx[577].text 比這個疫情前還要減少所以顯然部長所講的高端課今年要開發的顯然已經跳票好然後
transcript.whisperx[578].start 15225.99
transcript.whisperx[578].end 15241.822
transcript.whisperx[578].text 今年我們出國的旅客人數更增加我看到今天我們稍早就是一到前三季我們的逆差也就是出境比入境是多了超過800萬的人次
transcript.whisperx[579].start 15244.344
transcript.whisperx[579].end 15267.953
transcript.whisperx[579].text 那而且如果以消費金額來說我想請問次長或署長我們今年我們去出國旅遊的消費總金額是不是會超過新台幣一兆元你們有這樣評估嗎因為在去年的時候已經超過九千億了會不會超過一兆元
transcript.whisperx[580].start 15270.477
transcript.whisperx[580].end 15297.433
transcript.whisperx[580].text 我覺得如果你們現在還要再討論如果按照現在我們的旅客出境人數的消費已經達到我們總預算的三分之一那麼我們一直希望能夠有一些補助也好補助這個國外的觀光人數我們過去不是一直都有補助嗎那如果今天我們到國外的消費的金額這麼高
transcript.whisperx[581].start 15300.57
transcript.whisperx[581].end 15315.159
transcript.whisperx[581].text 這其實已經把台灣很多的資源都已經帶出國了那而我們現在討論的就是國旅國旅到底能不能夠做提振次長請問一下國旅還有救嗎
transcript.whisperx[582].start 15318.144
transcript.whisperx[582].end 15332.999
transcript.whisperx[582].text 國旅是還繼續 需要繼續努力我們的數字顯示旅客量是兩億兩千萬人次一年 去年但是這個停留的天數比較短變成比以往1.39的樣子
transcript.whisperx[583].start 15334.781
transcript.whisperx[583].end 15337.605
transcript.whisperx[583].text 沒錯這也許有人講是因為說高鐵太方便了尤其西部他寧願趕快買一個票再回去所以你們去做這個近六年的這個就是國內旅遊也是一樣啊
transcript.whisperx[584].start 15350.902
transcript.whisperx[584].end 15366.655
transcript.whisperx[584].text 有超過七成的 113年 超過七成的人大概七成五的人 根本不在外過夜這就問題 這剛才大家也講到國旅線問題可能很重要 大家談到的就是房價過高那我請問一下署長 國旅還有救嗎台灣的國旅還有沒有救國旅當然還有救 怎麼救你們要怎麼救
transcript.whisperx[585].start 15377.092
transcript.whisperx[585].end 15401.855
transcript.whisperx[585].text 國旅我覺得我們有些景點確實是數十年來如一日都沒有新的項目所以原本特色的景點如何在有些新的項目這也是我們努力的那第二個是我們觀察到現在目前國內國旅的消費行為基本上就是採取區域型的旅遊比較多要麼就是目的型導向比如說像以這一兩年高雄的
transcript.whisperx[586].start 15402.675
transcript.whisperx[586].end 15422.738
transcript.whisperx[586].text 的演唱會經濟非常的熱絡所以基本上當日來回高雄也很多這種就屬於很但是問題是就是其實對高鐵是有幫助的但是對我們旅遊住宿沒有幫助剛才講說像這個來我們看下一張我們在8年有300家的旅行社解散
transcript.whisperx[587].start 15423.939
transcript.whisperx[587].end 15449.619
transcript.whisperx[587].text 我們光是近三個月有12家旅行社倒閉了有31家你們公佈31家停業了那麼像以高雄來說五星級的飯店爆熄燈潮雖然剛才講就是所謂的演唱會經濟學雖然帶著人潮到了高雄可是他沒有住宿所以高雄的一些老字號飯店陸陸續續的
transcript.whisperx[588].start 15451.761
transcript.whisperx[588].end 15477.848
transcript.whisperx[588].text 停業或者是關閉好 所以我要講就是說為什麼我們一直覺得觀光尤其國旅這麼重要那大家其實在講罰假問題罰假已經不是這兩年的事情了講了快10年了快10年好像也沒有辦法解決那我請問一下今天早上行政院所公布的旅宿月可以開放外籍移工我想請問署長
transcript.whisperx[589].start 15480.269
transcript.whisperx[589].end 15494.287
transcript.whisperx[589].text 這有沒有助於房價的降低國內飯店旅社房價降低有沒有幫助希望可以
transcript.whisperx[590].start 15495.037
transcript.whisperx[590].end 15512.403
transcript.whisperx[590].text 希望那你們可不可以設定一個目標值否則的話當然沒錯啦房價市場機制可是剛剛都講了這所謂市場機制跟國外比實在是太昂貴了對不對太昂貴那其實我們今天開放外籍移工某一個程度也是希望能夠解決這相關的問題
transcript.whisperx[591].start 15514.116
transcript.whisperx[591].end 15538.227
transcript.whisperx[591].text 所以對署長來講或次長來講可不可以你們經過這麼多討論可不可以有一個目標這KPI啊我希望在這一波在一季我可以看到起碼有5%到10%的房價可以降低反應或者是更多你們有沒有做這樣的一個目標否則的話我們今天做專報
transcript.whisperx[592].start 15539.548
transcript.whisperx[592].end 15558.941
transcript.whisperx[592].text 可能到了三個月後半年後還是一樣的專報沒有改善只是我們看到更多旅行社解散更多的這個飯店熄燈所以你們有沒有一個目標今天行政院公布的最新政策
transcript.whisperx[593].start 15560.973
transcript.whisperx[593].end 15583.325
transcript.whisperx[593].text 在這邊跟我們報告我們大概沒有辦法去強迫要求那個旅宿業一定要降價降多少但是我們會一直鼓勵他們像我們現在在光屬的旅宿網上面大概有一千多個是優惠的就是說如果要找更優惠的旅宿可以到上我們的旅宿網上面來
transcript.whisperx[594].start 15584.225
transcript.whisperx[594].end 15604.659
transcript.whisperx[594].text 那像包含這次我們也鼓勵大家要去互相串聯像今天早上有特別提到那種就是連宿就是這種部分希望透過觀光圈的方式讓大家把那個比如說住宿裡面含郵程就是增加如果價格不降是否增加郵程的方式來處理
transcript.whisperx[595].start 15605.88
transcript.whisperx[595].end 15634.629
transcript.whisperx[595].text 那我們這種會用鼓勵鼓勵的方式來希望業者能一起配合讓我們的整個環境變得更好我希望你們加油啦剛剛講說至少能讓這七成五的人不去過夜的裡面只要有一成的人一成的人願意留下來過夜我想就會很明顯看到一些改進國旅有救我希望國旅有救但是一定要拿出具體的作為這個我們再具體研議一下 謝謝
transcript.whisperx[596].start 15636.77
transcript.whisperx[596].end 15641.974
transcript.whisperx[596].text 謝謝好 謝謝好 接下來再請邱志偉委員質詢邱志偉
transcript.whisperx[597].start 15661.828
transcript.whisperx[597].end 15684.218
transcript.whisperx[597].text 這觀光署 觀光署陳署長好 市長署長請好 第一個問題就是說這個怎麼樣讓更多國外旅客能夠來台灣來觀光這個英磅的這個多元化很重要
transcript.whisperx[598].start 15685.49
transcript.whisperx[598].end 15710.298
transcript.whisperx[598].text 為什麼我請韓正市長大概我們主要地緣政治跟地緣經濟來看我們主要可以來自東北亞的日韓東南亞主要的國家然後大概這個北美北美大概主要是地緣政治地緣經濟那另外歐洲市場我們也是有我們主力市場那歐洲分很大的區域那目前只集中在西歐跟中歐
transcript.whisperx[599].start 15711.843
transcript.whisperx[599].end 15739.914
transcript.whisperx[599].text 那未來我們跟芬蘭這目前航權談得怎麼樣芬蘭的部分這部分我們的持續都在進行當中有沒有一個時間表這個芬蘭航空它有飛韓國 它有飛仁川也飛大阪 也飛東京那他們可以飛這個日本韓國而且還有飛大阪所以說我們應該也有這個條件
transcript.whisperx[600].start 15742.779
transcript.whisperx[600].end 15760.965
transcript.whisperx[600].text 而且你如果做這個芬蘭航空這個航程是比較短的而且對北歐來說很多這個北歐五國他們也可以利用芬蘭轉機這我希望能夠加快進度不要一直在紙上談兵這你要這個有沒有明確的時程呢
transcript.whisperx[601].start 15761.929
transcript.whisperx[601].end 15778.126
transcript.whisperx[601].text 那個市長 是 包委員 就這部分必須要就是兩方之間都要有共識 自己談很久了 我說有沒有一個比較明確的時程表我們努力我們努力 因為目前是還沒有一個明確的時程表 那不是就白問了我是說比較明確的時程表 來 那個林市長林市長
transcript.whisperx[602].start 15783.84
transcript.whisperx[602].end 15812.163
transcript.whisperx[602].text 你要總要有一個目標我們才能監督你要有一個目標大概什麼時候可以談完是 鮑偉行權的部分民航局長有帶隊去談了現在是航班的部分還沒有指定航空公司也就是說沒有航空公司表達意願北歐的部分是第一個談下來的分了航空願意飛嗎沒有就是現在航空公司還沒有指定兩邊的行權我們有行權嘛行權剛剛談定有第五行權嗎
transcript.whisperx[603].start 15813.546
transcript.whisperx[603].end 15821.147
transcript.whisperx[603].text 有三四五還有延遠 對所以有第五行選嘛 是一週應該是十四班我記得
transcript.whisperx[604].start 15822.236
transcript.whisperx[604].end 15849.882
transcript.whisperx[604].text 所以現在就是說只要航空公司有意願可以在航權授權範圍內來申請這個就牽扯到下一個議題就是說怎麼樣讓北歐的這些人民能夠了解台灣的觀光之美所以你現在主流媒體有台灣的觀光形象廣告對不對幾乎每個國家都有你BBC CNN我看看很多馬來西亞 泰國什麼台灣有沒有這方面的形象廣告
transcript.whisperx[605].start 15851.04
transcript.whisperx[605].end 15878.332
transcript.whisperx[605].text 我們觀光局的 觀光署的部分一直我們在外面有16個代表處那基本上國內的國際組也都會把對 我說CNN或BBC這樣主流媒體有沒有投放廣告應該有買吧 好像印章沒看到我想我們把資料再給委員 這個應該是必要的他的評語是很高的 幾乎每一集新聞都有不要說馬來西亞的就好了我們把資料給委員 應該有
transcript.whisperx[606].start 15880.943
transcript.whisperx[606].end 15894.127
transcript.whisperx[606].text 這是必要的所以你這部分一定要加強主流媒體的這個廣告投放讓透過主流媒體讓更多的這個主要國家知道台灣之美他們才有興趣有興趣才有意願所以這個觀光部分當然是你這個未來觀光立國2030年我是覺得這樣我們對
transcript.whisperx[607].start 15906.909
transcript.whisperx[607].end 15933.031
transcript.whisperx[607].text 一定要分主要市場跟次要市場主要市場絕對是在亞洲對不對你扣除中國之外 主要還是在亞洲亞洲是這個日本有成長沒有問題那這個韓國也有成長空間韓國疫情之前是124萬現在才100萬左右所以你這個航艇要密集航線也要密集
transcript.whisperx[608].start 15934.178
transcript.whisperx[608].end 15950.351
transcript.whisperx[608].text 比如說現在這個慶祝你也可以飛大庭也可以飛 慶祝也可以飛現在一直飛 大修 雖然大修很多台灣人不知道但是它是第三大城 這很多人去過很多年輕人去過大修
transcript.whisperx[609].start 15952.54
transcript.whisperx[609].end 15976.978
transcript.whisperx[609].text 班班客滿 紅眼航班班班客滿 各位報告東北亞的航班都已經超過疫情前 東南亞也超過現在只有兩岸 但是你看人數來說 韓國來臺灣旅遊人數還比疫情前少了大概25萬左右所以韓國市場再加油 特別透過國際行銷或者航點更密集更多元謝謝 謝謝委員好 謝謝
transcript.whisperx[610].start 15981.857
transcript.whisperx[610].end 16010.345
transcript.whisperx[610].text 接下來請林月琴委員 林月琴委員 林月琴委員不在 請尤浩委員質詢OK謝謝趙偉 那有請次長還有署長 林次長陳署長請
transcript.whisperx[611].start 16015.137
transcript.whisperx[611].end 16040.566
transcript.whisperx[611].text 委員好 次長好署長身體保重那簡單先就教次長就是在今年的這次的題目 專案報告的題目900萬國際旅客達標的情況那目前來講的話今年的達標以及說有沒有機會能夠比照就是像是去年的目標能夠達到1000萬那次長你覺得咧
transcript.whisperx[612].start 16043.287
transcript.whisperx[612].end 16063.199
transcript.whisperx[612].text 包委員我們陳署長上任後這個目標目前設定900那到10月20幾號800多嗎600多了600多嗎所以目標應該是有努力的空間也可能會接近就原則上有信心可以達到900嗎因為已經
transcript.whisperx[613].start 16064.98
transcript.whisperx[613].end 16080.309
transcript.whisperx[613].text 10月底680那也是期待 拭目以待那其實在這裡也是要肯定還署長我們廣告署長其實上任之後到現在是馬不停蹄那在
transcript.whisperx[614].start 16081.189
transcript.whisperx[614].end 16109.154
transcript.whisperx[614].text 南投縣的時候我們的一些觀光的需求那其實署長他甚至特別不僅是整個下午空下來甚至到晚上都還陪著我們的縣府還有我們的鎮長吉吉知縣我們集鎮的鎮長主席一直在會堪還幾乎到晚上很晚才回去所以在這裡還是要表達肯定那同樣的我們就直接來看一下吉吉知縣
transcript.whisperx[615].start 16110.325
transcript.whisperx[615].end 16137.5
transcript.whisperx[615].text 那在目前來講就是在年底我們的集集支線我們要做復始那到時候會是我們的觀光還非常重要的一個可以再復出那同時對國旅的話相信也一定是大有助益那所以集集線火車復始的一個振興方案也是本席一直以來都非常重視跟關心的區塊那在
transcript.whisperx[616].start 16138.36
transcript.whisperx[616].end 16153.616
transcript.whisperx[616].text 上次的一個協調會其實有許多的一個結論因為在這個之前也經過了多次的會刊那也希望藉這個機會不僅讓次長也知道包括署長的努力那同樣的也讓社會各界跟媒體朋友也知道
transcript.whisperx[617].start 16154.176
transcript.whisperx[617].end 16182.179
transcript.whisperx[617].text 因為集集鎮過去在隧道它在整個做修復到今年的年底可以到集集站還來做複駛到明年的六月可以全線通車這是鐵路三大支線那不僅是內灣或者是平溪還有集集這是我們國內重要的一個觀光資產那在集集小鎮那有很多特殊的景點那不僅它的自然景觀文化歷史還有包括它整個未來的潛力
transcript.whisperx[618].start 16182.719
transcript.whisperx[618].end 16203.5
transcript.whisperx[618].text 那其實在日管處他過去對於這個急急症的這個幫忙那其實也是非常多的那也要再次謝謝署長那同樣的我們也希望說藉由周遭的衛星的城鎮市鎮還來帶動包括結合的日月潭的發展那樣才能夠更有潛力所以在景區組還跟日管處
transcript.whisperx[619].start 16204.241
transcript.whisperx[619].end 16230.154
transcript.whisperx[619].text 還有許多的經費如果是在集集或水里的話其實這邊只要發展起來同樣的是也可以帶動人潮去日月潭所以我相信這個日月潭的風景管理處他在做一個觀光的推廣應該是要做整體的一個規劃那同樣的在集集支線的部分那本席也想要就是直接的來看一下我們的這個PDT下一頁
transcript.whisperx[620].start 16231.515
transcript.whisperx[620].end 16259.48
transcript.whisperx[620].text 還包括未來一個日未談的延伸還包括結合高鐵到之後帶台鐵的一個支線轉成下一頁那這個整個支線的通車會到明年的6月那所以在今年年底的話就借這個機會能夠多多邀請還有許多朋友過年期間年底就可以來集集來體驗集集小鎮下一頁那包括復始後的觀光活動還有需要觀光署還包括交通部這邊都能夠持續支持下一頁
transcript.whisperx[621].start 16262.133
transcript.whisperx[621].end 16289.252
transcript.whisperx[621].text 那包括車程的鐵道節水裡結合日月潭花火節的音樂嘉年華還有水裡影展下一頁那還有集集正的環正的步道所以在軟體硬體的一個整體的工程上還包括活動的一個經營上下一頁下一頁那也希望能夠打造集集的一個夜間經濟的部分好那在這裡我們看到了包括集結殖民活動國際半城馬拉松還有以及包括
transcript.whisperx[622].start 16289.952
transcript.whisperx[622].end 16304.22
transcript.whisperx[622].text 未來希望能夠推廣的南投藝術火車節包括以及鐵道的農特產的推廣活動以及地震館及周遭的光環境營造還有包括林影寺還有觀景平台 蘭和宴的自行車道
transcript.whisperx[623].start 16305.18
transcript.whisperx[623].end 16330.405
transcript.whisperx[623].text 那在那時候集集政有提出了一個七大的亮點計畫那時候其實也跟署長有特別就是有討論過那在這個一億三千萬的部分那未來分兩年的部分來逐步協助這一次的集集的觀光振興那想問一下這個署長是不是可以統一那部長次長這邊是不是能夠支持
transcript.whisperx[624].start 16334.862
transcript.whisperx[624].end 16359.234
transcript.whisperx[624].text 委員好 我們上次有提到這幾個項目其中除了說像集集的業經濟的部分我們認為還可以再討論一下其他部分原則上我們都會積極的來支持因為我們想集集火車站那麼漂亮它到底應該走一個什麼樣的業經濟我覺得我們可以再跟地方大家再討論一下其他部分大概是這個樣子 謝謝
transcript.whisperx[625].start 16361.115
transcript.whisperx[625].end 16384.394
transcript.whisperx[625].text 那這是有共識那市長這將近一億三千萬的部分分兩年期是不是可以來協助我們南投振興集集 報委我會請關公署盡量來協助那因為這條線結合高鐵台鐵站嘛一路進到智慧毯再加上纜車是一個非常重要的廊帶那當然不只集集上次您提到的九九峰那個我們都全力來支持
transcript.whisperx[626].start 16385.334
transcript.whisperx[626].end 16408.32
transcript.whisperx[626].text 好 謝謝那本期在這裡還是要再請這個署長這邊也能夠持續來協助就是在一億三千萬分兩年期這七大亮點活動的部分還能夠協助幫忙還再次表達感謝那同樣的在於地方創生的一個相關未來旅推組在協助集集的部分
transcript.whisperx[627].start 16408.84
transcript.whisperx[627].end 16431.404
transcript.whisperx[627].text 那也希望旅推組這邊上次開會有提到還能夠來協助集集政工所來透過青年的團體還能夠讓將來在這個集集支線開通之後的許多振興方案還能夠再串聯地方的民宿業者還也一起來解決這個旅書業相關的問題跟振興那是不是處長再回應一下就好
transcript.whisperx[628].start 16434.031
transcript.whisperx[628].end 16451.722
transcript.whisperx[628].text 我們樂見啟程那我覺得地方創生年輕人的創意跟能量是最強的如果這些人的力量可以再拉進來我相信對地方的發展會更有幫助好 謝謝那也希望部內支長這邊也全力支持好 謝謝好 謝謝接下來請牛許廷委員質詢
transcript.whisperx[629].start 16463.751
transcript.whisperx[629].end 16478.021
transcript.whisperx[629].text 謝謝主席這個觀光署陳署長 交通部林次長有請次長 署長請委員好 辛苦了 午安這個大家今天都問這個
transcript.whisperx[630].start 16480.158
transcript.whisperx[630].end 16493.47
transcript.whisperx[630].text 國際旅客的這個軍令狀那我剛剛聽得蠻清楚對不對到10月下旬680萬最後兩個月目標900萬嘛好但我想要提另外一個概念就是說這900萬假設真的達標900萬好了這900萬裡面的細項的區分是什麼
transcript.whisperx[631].start 16498.194
transcript.whisperx[631].end 16519.677
transcript.whisperx[631].text 比如說他們到底是來幹嘛的來待多久他是商務會展演唱會還是說真的跟團觀光或者是閃課這些詳細的數據我是覺得要好好的利用一下因為大家都關注門檻但是內容是什麼我之所以要問待多久還為什麼而來是因為今天大體上的主題跟國內的旅宿業是有一定的關係
transcript.whisperx[632].start 16520.538
transcript.whisperx[632].end 16550.278
transcript.whisperx[632].text 就是說幾百萬的人來他如果都只是短期停留兩天一夜商務會展行或者是演唱會看完就回家了這樣一個狀況的時候他其實對於旅宿真的有幫助嗎第二個是各地的分配是什麼我可能只待在台北或是在高雄一天兩天就走了那其他地方的觀光也好旅宿也好並沒有被振興到了所以我覺得除了有一個明確的數字有KPI有達到目標大家都很努力之外他的路徑圖跟儀表板你們現在觀光署也好交通部也好有沒有打算做一些合理的揭露跟一些分析
transcript.whisperx[633].start 16553.139
transcript.whisperx[633].end 16572.544
transcript.whisperx[633].text 您提的這個很重要理論上每一年的還有趨勢我們都要評估對 你現在單純數字的趨勢我這邊手上都有嘛這個我想會請觀光署來來評估以後來對外提供你把這詳細的會後提供一下啦這是我們本席滿有興趣的啦是 作為未來策進但是可能不一定現在就有答案
transcript.whisperx[634].start 16572.924
transcript.whisperx[634].end 16600.798
transcript.whisperx[634].text 沒關係 我給你一點時間去做但我希望說未來大家在討論這個觀光客數量的時候其實我們希望拿到的東西是更完整一點大家才能深入討論嘛之所以要去談這個事就是因為我們要了解它來的模式嘛我們才知道我們的競爭力在哪裡然後你才能具以去輔導旅宿業它可能是整併它可能是轉型可能是退場它才更有依據嘛要不然我們只是以當然我們都直觀想說我們把餅做大等等當然好嘛因為餅做大大家至少會有一個基礎的提升但現在眼下的環境恐怕也很難把餅做大
transcript.whisperx[635].start 16601.318
transcript.whisperx[635].end 16624.979
transcript.whisperx[635].text 這我們要面對現實嘛那你如何精耕然後讓他達成更好的政策效果這我給這個觀光署跟交通部的一個提醒第二個我們談一下旅宿業的這個歇業跟缺工的問題因為你們報告上這個目標都開得很雄偉什麼兆元產值等等對不對可是看你們預算執行率我們最近看了審計報告我想很多人也提了這預算執行率好像有些落差
transcript.whisperx[636].start 16625.359
transcript.whisperx[636].end 16647.455
transcript.whisperx[636].text 就拿這個缺工問題來解決好了這曾經編的總預算是10億元分幾年來做執行是補助業者嘛希望他可以徵聘房務啊因為他們缺工的狀況比較嚴重那本來目標是1萬6千人那實際上出來只有2,617人那達成率只有16%左右那前面也有獎勵旅宿品質提升計畫這東西當然隔了一個疫情復甦期啦但這4.6億的經費執行率只有54%好像
transcript.whisperx[637].start 16652.116
transcript.whisperx[637].end 16660.323
transcript.whisperx[637].text 好意滿滿誠意滿滿但是好像並沒有精準精準的用出去請問這背後的緣由是什麼可不可以簡單說明一下
transcript.whisperx[638].start 16663.174
transcript.whisperx[638].end 16683.764
transcript.whisperx[638].text 我自己的判斷因為台灣的產業也蠻豐富的那以呂素營現在目前的薪資在整個產業裡面確實是偏低那有很多人基本上可能往高科技走尤其像現在AI所以這件事情是造成我們為什麼在求財不義的主要原因
transcript.whisperx[639].start 16684.884
transcript.whisperx[639].end 16700.089
transcript.whisperx[639].text 求財不宜他有兩種狀況為什麼自己談執行率因為他有兩種可能一個是我預算編的不夠也就是說我這錢全部花下去了但是我人來的還不夠那我們當然就會支持你編更多的預算但另外一個叫執行績較不夠也就是說我明明編了這個預算但我沒有辦法用完
transcript.whisperx[640].start 16700.689
transcript.whisperx[640].end 16719.032
transcript.whisperx[640].text 那我覺得在精準程度上我希望關公署有一些檢討跟改正的一個報告就是說我如果真的沒有辦法目標一萬六那我人少一點但我加薪幅度大一點它也許效果就比較好我們都希望預算編出去國會支持預算編出去可以有所提升這我希望在預算執行的方面一樣會後要有一個比較完善的報告
transcript.whisperx[641].start 16719.833
transcript.whisperx[641].end 16735.462
transcript.whisperx[641].text 第三個一個小的事情啦這我們現在擔心很多國內尤其是年輕年輕好朋友的共同的心聲就是為什麼台灣人現在不喜歡國旅呢其實不會少國旅大家都喜歡有高鐵方便他一日來回聊不起兩天一夜為什麼因為國旅的價格浮動的狀況是比較大的
transcript.whisperx[642].start 16737.663
transcript.whisperx[642].end 16757.482
transcript.whisperx[642].text 那我們站旅宿業的角度也不是不能理解因為餅太小啊那餅太小我知道薅羊毛啊今天要開演唱會對不對先一筆進場再說其他時候恐怕就冷冷清清它出現了嚴重的分配不均跟人流不穩定的情況這我想是旅宿業的一個重大的危機但是這從消費者的角度來看觀感不好嘛
transcript.whisperx[643].start 16757.842
transcript.whisperx[643].end 16784.267
transcript.whisperx[643].text 我們的口碑跟品質做不好的時候它沒有穩定的信賴程度的時候它也不會有穩定的客源就變成這樣然後變成我們國旅的就連你要跟世界競爭本身就困難但你連國旅的這個餅都越做越小的時候我想這是一個滿嚴重的問題所以本期其實有在思考是我們針對這個旅宿業者臨時烘台房價的狀況你們現在交通部的觀光署的想法是什麼你們補充一下沒有關係
transcript.whisperx[644].start 16785.868
transcript.whisperx[644].end 16810.129
transcript.whisperx[644].text 比如說辦演唱會的時候 房價就一萬二然後下一個禮拜就剩兩千六這樣 落差其實很大嘛 對不對然後品質其實是一樣的 對不對那我們呂宿主副組長再回答可以報告委員 我是呂宿主副組長 陳怡萍那房價的部分是每個飯店業他都會跟我們合備一個這個備查的房價那因為年末的時候 大型演唱會比較多尤其是這種季節性活動的時候
transcript.whisperx[645].start 16810.649
transcript.whisperx[645].end 16831.254
transcript.whisperx[645].text 那房價的部分當然就會根據這個活動的機制 那業者也會做一些相關的行促效 所以這個房價上面是會有一個浮動那對於這個如果有報導或者是消費者有反應有這個烘台房價的情形的話我們會跟這個地方政府聯繫 請地方政府去查處那如果查處是屬實的話 就會根據發展觀光條例的規定去處罰1萬以上5萬以下的罰款 對 我就要談這個事
transcript.whisperx[646].start 16837.575
transcript.whisperx[646].end 16853.983
transcript.whisperx[646].text 就是說如果他真的有明確的違規事真就薅羊毛薅得太過分的時候你也只能罰他五萬我剛講現在一個晚上喊高的時候喊到一萬多啦對不對 那好幾間那五萬對他來講可能會不痛不癢這個罰是可以加次罰的不是只有罰一次就是他去查很多次的話可以用這個次數來來加去
transcript.whisperx[647].start 16854.923
transcript.whisperx[647].end 16869.318
transcript.whisperx[647].text 我剛剛講的問題的核心就是因為我後台方案只是短期行為它不會是長期的所以你的累次我覺得效果我覺得大家可以思考一下本期有在思考官方發展條例要不要做一些機制上的一些調整我們對這件事再嚴謹一些核心的問題還是一樣
transcript.whisperx[648].start 16870.299
transcript.whisperx[648].end 16897.687
transcript.whisperx[648].text 我之所以會談這個問題到底不是說就女書業就已經這麼可憐了對不對人事成本一上升房價當然就上升然後所以品質永遠都沒辦法上升因為你沒有額外的銀彈去處理這些事情嘛但這是一個惡性循環嘛那我們用什麼樣的方法來處理所以我們前面跟你談了我們要針對這個觀光客的人流長短時間來做有效的輔導轉型甚至是允許他整病等等這是志願談這個的原因但我覺得短期的問題還是要解決我希望我相信台灣年輕的消費者會希望政府拿出一些手段
transcript.whisperx[649].start 16898.227
transcript.whisperx[649].end 16921.778
transcript.whisperx[649].text 現行的機制是是我有一個價格一個錨定但我允許一定的浮動有一個價格天花板但是天花板跟房價格的差距是比較大的那就會出現這樣的狀況我是希望在這樣子一個配套制度跟相關的法則法規上我希望交通部提一個想法我們先做交流我們再來考慮要不要啟動官方這個發展條例的修法可以嗎好辛苦了不好意思主席謝謝
transcript.whisperx[650].start 16923.917
transcript.whisperx[650].end 16940.692
transcript.whisperx[650].text 好 謝謝牛委員我想也請次長跟署長這邊您先請回面信不過簡單一分鐘現在問題就我對市場的瞭解你們到最後可能也發不到多少錢甚至很可能沒有一家業者違規是因為重點在於是
transcript.whisperx[651].start 16941.713
transcript.whisperx[651].end 16962.948
transcript.whisperx[651].text 根本的問題是飯店他報的定價就是相對比較高的那他平常時候他就用打折的價錢去促銷那現在才回歸譬如說一萬二一萬五他就是回歸到原價那但是對於一般的民眾來講或是市場機制來講其實這就算是一種哄抬
transcript.whisperx[652].start 16963.789
transcript.whisperx[652].end 16979.666
transcript.whisperx[652].text 可是他有沒有符合規定其實有符合規定你也沒有辦法罰到他那但是我們應該要檢討的應該是說那當初這個飯店他報出來三星級飯店可是他報出來說他一個晚上的售價可以到一萬五一萬八的時候合不合理
transcript.whisperx[653].start 16980.796
transcript.whisperx[653].end 17004.967
transcript.whisperx[653].text 因為這等於是我們合法給他一個空間未來有機會讓他去做烘台他平常只有賣一千八兩千結果到這種特定的時候他回歸到原價可是我們無法可管所以我覺得這才是一個根本的問題我想今天大白話也感謝牛許廷委員把他給點出來那真的請觀光署好好的徹底檢討這樣的一個狀況好
transcript.whisperx[654].start 17007.745
transcript.whisperx[654].end 17031.342
transcript.whisperx[654].text 再來請林德福委員 林德福委員 林德福委員不在 鍾嘉斌委員 鍾嘉斌委員 鍾嘉斌委員不在請葉元之委員質詢麻煩請次長還有署長林次長 陳署長請
transcript.whisperx[655].start 17039.321
transcript.whisperx[655].end 17053.311
transcript.whisperx[655].text 委員好市長 署長好觀光一定要跨部會來推動以前國民黨執政的時候有一個觀光推我知道今年好像行政院現在有一個觀光振興委員會是不是資訊委員會開幾次了
transcript.whisperx[656].start 17056.213
transcript.whisperx[656].end 17082.264
transcript.whisperx[656].text 今年開第三次開第三次那有什麼跨部會重大的成就嗎有沒有 什麼講一個就好要求整合各個部會提出他們的要求整合 早就該整合了但是以往在做很多單位是他自己行銷所以嘛所以民進黨執政八年多第九年賣到第十年現在才思考說觀光要整合
transcript.whisperx[657].start 17083.284
transcript.whisperx[657].end 17104.121
transcript.whisperx[657].text 這個好像還在那種已知用火的年代啦這個經濟部跟觀光署或者是交通部好像說要推一個會展消費卡是不是要給10萬商務客來台灣一個人出資2000元是嗎順道旅遊順道旅遊進來之後給他2000塊嘛類似消費卡是不是
transcript.whisperx[658].start 17104.961
transcript.whisperx[658].end 17132.095
transcript.whisperx[658].text 那是經濟部推的是不是然後經濟部聯手交通部我們推的是順道旅遊順道旅遊那沒關係 署長我想請教一下經濟部推這個類消費類悠遊卡進來之後一個人發一張兩千塊讓他幹嘛呢讓他搭車去超商買東西逛百貨公司去餐廳吃飯我想請教一下請問一下國外的商務旅客到台灣他們花不到兩千塊吧
transcript.whisperx[659].start 17134.011
transcript.whisperx[659].end 17162.882
transcript.whisperx[659].text 他花不到兩千塊嗎 他們如果不給他的卡 他也花不到兩千塊嗎他要不要吃飯 要不要坐車要吧那結果交通部連同經濟部推這個東西你給他兩千塊 他就是把他原本要花費的錢現在變成台灣人幫他付而已啊不是嗎所以怎麼會推這種交通部跟經濟部怎麼會跟他推這種我看起來好莫名其妙的東西喔欸 是
transcript.whisperx[660].start 17164.809
transcript.whisperx[660].end 17186.625
transcript.whisperx[660].text 交通部公共署推的是順道旅遊比如說他來參加會議三天我們希望他多留兩天那多留兩天如果這兩天時間是在週間的話我們會補貼他兩千塊一天如果他是週末日的話是一天是一千五這個是公共署的政策那經濟部的那個部分我不知道
transcript.whisperx[661].start 17188.506
transcript.whisperx[661].end 17211.048
transcript.whisperx[661].text 所以你們跨部會協調就有問題因為剛剛已經講了行政院有一個諮詢跨部會的會議經濟部讓那些商務客來給他錢當然是希望他留在台灣消費當然這跟觀光也有關所以這個本來就是要你推觀光署推觀光署的然後經濟部推經濟部但其實大家做的都是類似的東西
transcript.whisperx[662].start 17211.428
transcript.whisperx[662].end 17239.996
transcript.whisperx[662].text 你希望他多留兩天吃雞消費他給他2000塊叫他吃雞消費其實做的一樣東西啊資源也沒有整合啊那資源沒有整合的情況之下如果單看經濟部做的事情你就覺得你會覺得非常的荒謬嘛你會覺得非常荒謬嘛那署長剛剛講的說讓他順道旅遊我請問他的成效好嗎真的有很多人他本來是要來三天機票都已經買了三天兩夜然後因為你給他2000塊他就願意多待兩天去改機票
transcript.whisperx[663].start 17241.895
transcript.whisperx[663].end 17262.24
transcript.whisperx[663].text 這個成效有嗎我有看到相關的數據那就以我個人來看我確實覺得有待再加強所以之前數據是怎麼樣到今年是今年到1月1號到9月底的順道公關旅遊大概14件申請的金額大概是335萬7千元
transcript.whisperx[664].start 17264.441
transcript.whisperx[664].end 17286.602
transcript.whisperx[664].text 那這塊部分呢就像剛剛那個時候你說幾件14件就是9個月只有14個人因為這個計畫然後去改了他的機票他是團體不是個人是團體4個人到30個人都是一個團體所以可見這一種給不管是商務客也好或者是觀光客你花納稅人的錢用我們台灣人的錢
transcript.whisperx[665].start 17288.363
transcript.whisperx[665].end 17316.605
transcript.whisperx[665].text 讓他們來消費這一招是行不通的啦這個都是枝微末節很治標不治本的狀況我覺得如果說今天行政院跨部會會議要成立的話你應該要針對本的問題去做解決譬如說剛剛大家討論的問題價格的問題因為我有看到有那種公司要帶員工旅遊本來是要去南部然後結果查一查發現價格貴得驚人後來去查去日本比較便宜全團去日本就員工高興得不得了同樣價錢可以出國
transcript.whisperx[666].start 17317.765
transcript.whisperx[666].end 17340.386
transcript.whisperx[666].text 你要從這個方面去解決然後飯店的那個價格高到嚇死人所以大家不願意兩天一夜都當天來回這個問題要去解決還有一個是為什麼台灣人喜歡去日本因為日本很多品牌你去的一去再去譬如說櫻木花道的郵程或者是木福家康的郵程或什麼之類他有很多不同的
transcript.whisperx[667].start 17341.007
transcript.whisperx[667].end 17356.955
transcript.whisperx[667].text 多元的還有侏羅紀公園什麼之類就是很多大家可以我今天去這個地方我下次還可以再去台灣現在的問題就是說很多人來了一次了不起兩次可能就沒有再來的這個是很多本質性的問題我覺得我覺得應該是要去解決的
transcript.whisperx[668].start 17358.075
transcript.whisperx[668].end 17379.375
transcript.whisperx[668].text 所以然後再來就是像我們常常在教育文化委員會我覺得那故宮那麼好的一個國寶國寶的這個東西在那邊都不宣傳都沒有去告訴國外說我們台灣有一個故宮裡面有很多很棒的國寶它有很多故事然後那個故事中華文化可能你們是因為民進黨講到中華文化就排斥就不願意去講這東西其實
transcript.whisperx[669].start 17381.337
transcript.whisperx[669].end 17404.549
transcript.whisperx[669].text 我剛剛為什麼一開始就問整合的問題如果觀光署或行政院真的有心要推展觀光的話台灣其實大家一起來聯合推動效果會好很多真的比你們花納稅人錢補助那些外國人我看到你跟經濟部講一下因為新聞是講經濟部連同交通部如果交通部沒有的話你們就背黑鍋那真的很可笑那個制度給2000塊
transcript.whisperx[670].start 17406.73
transcript.whisperx[670].end 17417.841
transcript.whisperx[670].text 人家外國人來本來就會花兩千塊你花兩千塊以上啊你等於是我洪旺愷請他們的啊他本來就會花這個錢啊做這個效益經營評估在哪裡所以我覺得
transcript.whisperx[671].start 17419.181
transcript.whisperx[671].end 17438.623
transcript.whisperx[671].text 因為署長是剛也是剛上任應該署長就我的了解也是這塊也是很熟應該我認為應該要提一些真正治本的方法大家都很關心觀光除了人事之外還包括在地的消費這些我們真的希望台灣在觀光這塊不要落後人家太多好 謝謝
transcript.whisperx[672].start 17441.473
transcript.whisperx[672].end 17449.082
transcript.whisperx[672].text 好 謝謝葉元智委員 謝謝官員其實葉元智委員剛剛講到重點今年是故宮建院100週年
transcript.whisperx[673].start 17451.226
transcript.whisperx[673].end 17478.812
transcript.whisperx[673].text 二零二五年是建院一百週年但是真的很可惜故宮沒有足夠的宣傳那其他部會感覺起來也沒有把這樣的一個大事讓世界各國的旅客瞭解能夠讓臺灣可以我們有跟故宮有跟著我們一起去出國去參展好謝謝出國參展那沒有對沒有任何的提升署長謝謝你這樣子補充但是說實在話這反而會讓我們覺得越來越可惜
transcript.whisperx[674].start 17481.398
transcript.whisperx[674].end 17481.419
transcript.whisperx[674].text
transcript.whisperx[675].start 17482.847
transcript.whisperx[675].end 17510.19
transcript.whisperx[675].text 登記質詢委員均已經發言完畢 做以下決定 1 報告及詢答完畢 2 委員林德福 徐巧欣 王洪威廖先祥委員所提的書面質詢列入記錄並刊登公報3 委員於質詢中要求提供相關書面資料及未及答覆部分 請交通部及相關機關盡速以書面答覆本次會議結束 現在散會 謝謝
transcript.whisperx[676].start 17513.021
transcript.whisperx[676].end 17515.862
transcript.whisperx[676].text 市長辛苦 保重身體