iVOD / 16180

Field Value
IVOD_ID 16180
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16180
日期 2024-10-17
會議資料.會議代碼 委員會-11-2-19-6
會議資料.會議代碼:str 第11屆第2會期經濟委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 2
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第2會期經濟委員會第6次全體委員會議
影片種類 Full
開始時間 2024-10-17T08:31:18+08:00
結束時間 2024-10-17T14:10:00+08:00
影片長度 05:38:42
支援功能[0] ai-transcript
委員名稱 完整會議
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db75bc8616f11b3287ae17401902c90994c04c64b87e30630a1e3473d1bbab934c5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-10-17T09:00:00+08:00
會議名稱 立法院第11屆第2會期經濟委員會第6次全體委員會議(事由:邀請農業部部長就「農業部對於立法院決議提高公糧收購價格之評估與執行方案」進行報告,並備質詢。)
委員發言時間 08:31:18 - 14:10:00
transcript.pyannote[0].speaker SPEAKER_39
transcript.pyannote[0].start 1766.08409375
transcript.pyannote[0].end 1766.10096875
transcript.pyannote[1].speaker SPEAKER_39
transcript.pyannote[1].start 1766.11784375
transcript.pyannote[1].end 1766.52284375
transcript.pyannote[2].speaker SPEAKER_39
transcript.pyannote[2].start 1782.73971875
transcript.pyannote[2].end 1783.87034375
transcript.pyannote[3].speaker SPEAKER_29
transcript.pyannote[3].start 1830.27659375
transcript.pyannote[3].end 1832.60534375
transcript.pyannote[4].speaker SPEAKER_38
transcript.pyannote[4].start 1833.68534375
transcript.pyannote[4].end 1834.46159375
transcript.pyannote[5].speaker SPEAKER_38
transcript.pyannote[5].start 1834.78221875
transcript.pyannote[5].end 1836.82409375
transcript.pyannote[6].speaker SPEAKER_29
transcript.pyannote[6].start 1837.53284375
transcript.pyannote[6].end 1837.83659375
transcript.pyannote[7].speaker SPEAKER_29
transcript.pyannote[7].start 1837.93784375
transcript.pyannote[7].end 1839.11909375
transcript.pyannote[8].speaker SPEAKER_29
transcript.pyannote[8].start 1839.20346875
transcript.pyannote[8].end 1842.03846875
transcript.pyannote[9].speaker SPEAKER_36
transcript.pyannote[9].start 1842.03846875
transcript.pyannote[9].end 1842.69659375
transcript.pyannote[10].speaker SPEAKER_36
transcript.pyannote[10].start 1843.52346875
transcript.pyannote[10].end 1854.57659375
transcript.pyannote[11].speaker SPEAKER_36
transcript.pyannote[11].start 1854.93096875
transcript.pyannote[11].end 1859.23409375
transcript.pyannote[12].speaker SPEAKER_36
transcript.pyannote[12].start 1859.36909375
transcript.pyannote[12].end 1864.63409375
transcript.pyannote[13].speaker SPEAKER_36
transcript.pyannote[13].start 1864.76909375
transcript.pyannote[13].end 1872.16034375
transcript.pyannote[14].speaker SPEAKER_36
transcript.pyannote[14].start 1872.53159375
transcript.pyannote[14].end 1878.28596875
transcript.pyannote[15].speaker SPEAKER_36
transcript.pyannote[15].start 1878.69096875
transcript.pyannote[15].end 1883.23034375
transcript.pyannote[16].speaker SPEAKER_36
transcript.pyannote[16].start 1883.56784375
transcript.pyannote[16].end 1906.09596875
transcript.pyannote[17].speaker SPEAKER_29
transcript.pyannote[17].start 1915.22534375
transcript.pyannote[17].end 1918.46534375
transcript.pyannote[18].speaker SPEAKER_29
transcript.pyannote[18].start 1919.57909375
transcript.pyannote[18].end 1921.99221875
transcript.pyannote[19].speaker SPEAKER_36
transcript.pyannote[19].start 1921.99221875
transcript.pyannote[19].end 1922.02596875
transcript.pyannote[20].speaker SPEAKER_36
transcript.pyannote[20].start 1923.76409375
transcript.pyannote[20].end 1933.21409375
transcript.pyannote[21].speaker SPEAKER_29
transcript.pyannote[21].start 1939.84596875
transcript.pyannote[21].end 1954.30784375
transcript.pyannote[22].speaker SPEAKER_29
transcript.pyannote[22].start 1955.47221875
transcript.pyannote[22].end 1955.74221875
transcript.pyannote[23].speaker SPEAKER_29
transcript.pyannote[23].start 1955.91096875
transcript.pyannote[23].end 1958.18909375
transcript.pyannote[24].speaker SPEAKER_29
transcript.pyannote[24].start 1960.53471875
transcript.pyannote[24].end 1960.92284375
transcript.pyannote[25].speaker SPEAKER_29
transcript.pyannote[25].start 1961.64846875
transcript.pyannote[25].end 1963.04909375
transcript.pyannote[26].speaker SPEAKER_29
transcript.pyannote[26].start 1964.09534375
transcript.pyannote[26].end 1964.71971875
transcript.pyannote[27].speaker SPEAKER_29
transcript.pyannote[27].start 1966.32284375
transcript.pyannote[27].end 1966.60971875
transcript.pyannote[28].speaker SPEAKER_29
transcript.pyannote[28].start 1967.09909375
transcript.pyannote[28].end 1968.83721875
transcript.pyannote[29].speaker SPEAKER_29
transcript.pyannote[29].start 1968.97221875
transcript.pyannote[29].end 1971.58784375
transcript.pyannote[30].speaker SPEAKER_29
transcript.pyannote[30].start 1973.00534375
transcript.pyannote[30].end 1973.84909375
transcript.pyannote[31].speaker SPEAKER_29
transcript.pyannote[31].start 1974.69284375
transcript.pyannote[31].end 1975.62096875
transcript.pyannote[32].speaker SPEAKER_29
transcript.pyannote[32].start 1976.26221875
transcript.pyannote[32].end 1976.73471875
transcript.pyannote[33].speaker SPEAKER_29
transcript.pyannote[33].start 1977.37596875
transcript.pyannote[33].end 1979.94096875
transcript.pyannote[34].speaker SPEAKER_29
transcript.pyannote[34].start 1981.56096875
transcript.pyannote[34].end 1983.07971875
transcript.pyannote[35].speaker SPEAKER_29
transcript.pyannote[35].start 1988.83409375
transcript.pyannote[35].end 1995.97221875
transcript.pyannote[36].speaker SPEAKER_29
transcript.pyannote[36].start 1996.88346875
transcript.pyannote[36].end 1997.22096875
transcript.pyannote[37].speaker SPEAKER_29
transcript.pyannote[37].start 1997.40659375
transcript.pyannote[37].end 1999.24596875
transcript.pyannote[38].speaker SPEAKER_29
transcript.pyannote[38].start 2004.07221875
transcript.pyannote[38].end 2007.81846875
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 2020.05284375
transcript.pyannote[39].end 2021.26784375
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 2021.85846875
transcript.pyannote[40].end 2022.78659375
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 2023.66409375
transcript.pyannote[41].end 2025.01409375
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 2025.82409375
transcript.pyannote[42].end 2041.61909375
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 2042.04096875
transcript.pyannote[43].end 2043.15471875
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 2043.79596875
transcript.pyannote[44].end 2045.53409375
transcript.pyannote[45].speaker SPEAKER_04
transcript.pyannote[45].start 2055.60846875
transcript.pyannote[45].end 2093.72909375
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 2094.31971875
transcript.pyannote[46].end 2112.29159375
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 2112.74721875
transcript.pyannote[47].end 2113.16909375
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 2113.84409375
transcript.pyannote[48].end 2118.34971875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 2118.67034375
transcript.pyannote[49].end 2119.93596875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 2120.96534375
transcript.pyannote[50].end 2147.10471875
transcript.pyannote[51].speaker SPEAKER_04
transcript.pyannote[51].start 2147.35784375
transcript.pyannote[51].end 2152.87596875
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 2156.60534375
transcript.pyannote[52].end 2157.46596875
transcript.pyannote[53].speaker SPEAKER_04
transcript.pyannote[53].start 2157.97221875
transcript.pyannote[53].end 2161.24596875
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 2161.34721875
transcript.pyannote[54].end 2163.70971875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 2163.76034375
transcript.pyannote[55].end 2165.61659375
transcript.pyannote[56].speaker SPEAKER_04
transcript.pyannote[56].start 2165.86971875
transcript.pyannote[56].end 2177.10846875
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 2177.32784375
transcript.pyannote[57].end 2180.02784375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 2180.82096875
transcript.pyannote[58].end 2181.98534375
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 2182.64346875
transcript.pyannote[59].end 2183.74034375
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 2183.80784375
transcript.pyannote[60].end 2185.57971875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 2186.10284375
transcript.pyannote[61].end 2190.06846875
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 2190.65909375
transcript.pyannote[62].end 2225.53971875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 2225.80971875
transcript.pyannote[63].end 2229.04971875
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 2229.50534375
transcript.pyannote[64].end 2230.72034375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 2231.74971875
transcript.pyannote[65].end 2232.61034375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 2232.77909375
transcript.pyannote[66].end 2241.11534375
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 2241.48659375
transcript.pyannote[67].end 2246.29596875
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 2246.38034375
transcript.pyannote[68].end 2259.42471875
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 2259.88034375
transcript.pyannote[69].end 2260.89284375
transcript.pyannote[70].speaker SPEAKER_04
transcript.pyannote[70].start 2261.21346875
transcript.pyannote[70].end 2269.04346875
transcript.pyannote[71].speaker SPEAKER_04
transcript.pyannote[71].start 2269.41471875
transcript.pyannote[71].end 2271.49034375
transcript.pyannote[72].speaker SPEAKER_04
transcript.pyannote[72].start 2271.89534375
transcript.pyannote[72].end 2273.32971875
transcript.pyannote[73].speaker SPEAKER_04
transcript.pyannote[73].start 2273.73471875
transcript.pyannote[73].end 2274.71346875
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 2275.65846875
transcript.pyannote[74].end 2276.89034375
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 2278.89846875
transcript.pyannote[75].end 2279.65784375
transcript.pyannote[76].speaker SPEAKER_04
transcript.pyannote[76].start 2280.50159375
transcript.pyannote[76].end 2285.61471875
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 2285.95221875
transcript.pyannote[77].end 2290.82909375
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 2291.35221875
transcript.pyannote[78].end 2308.81784375
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 2309.00346875
transcript.pyannote[79].end 2319.75284375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 2322.94221875
transcript.pyannote[80].end 2324.39346875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 2325.00096875
transcript.pyannote[81].end 2325.92909375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 2326.80659375
transcript.pyannote[82].end 2328.22409375
transcript.pyannote[83].speaker SPEAKER_04
transcript.pyannote[83].start 2328.81471875
transcript.pyannote[83].end 2336.69534375
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 2337.04971875
transcript.pyannote[84].end 2341.18409375
transcript.pyannote[85].speaker SPEAKER_04
transcript.pyannote[85].start 2341.23471875
transcript.pyannote[85].end 2343.17534375
transcript.pyannote[86].speaker SPEAKER_04
transcript.pyannote[86].start 2343.58034375
transcript.pyannote[86].end 2345.14971875
transcript.pyannote[87].speaker SPEAKER_04
transcript.pyannote[87].start 2345.26784375
transcript.pyannote[87].end 2349.19971875
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 2349.40221875
transcript.pyannote[88].end 2351.39346875
transcript.pyannote[89].speaker SPEAKER_04
transcript.pyannote[89].start 2351.69721875
transcript.pyannote[89].end 2354.41409375
transcript.pyannote[90].speaker SPEAKER_04
transcript.pyannote[90].start 2354.61659375
transcript.pyannote[90].end 2359.76346875
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 2359.94909375
transcript.pyannote[91].end 2360.65784375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 2361.36659375
transcript.pyannote[92].end 2361.77159375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 2362.31159375
transcript.pyannote[93].end 2371.77846875
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 2371.84596875
transcript.pyannote[94].end 2385.17721875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 2385.29534375
transcript.pyannote[95].end 2404.61721875
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 2404.97159375
transcript.pyannote[96].end 2405.84909375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 2408.02596875
transcript.pyannote[97].end 2409.03846875
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 2409.54471875
transcript.pyannote[98].end 2410.23659375
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 2410.60784375
transcript.pyannote[99].end 2412.21096875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 2412.32909375
transcript.pyannote[100].end 2414.64096875
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 2414.92784375
transcript.pyannote[101].end 2415.92346875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 2416.14284375
transcript.pyannote[102].end 2426.72346875
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 2427.16221875
transcript.pyannote[103].end 2431.22909375
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 2431.33034375
transcript.pyannote[104].end 2432.98409375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 2433.18659375
transcript.pyannote[105].end 2434.94159375
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 2435.38034375
transcript.pyannote[106].end 2439.46409375
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 2439.98721875
transcript.pyannote[107].end 2440.72971875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 2441.01659375
transcript.pyannote[108].end 2452.66034375
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2452.91346875
transcript.pyannote[109].end 2455.22534375
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 2455.41096875
transcript.pyannote[110].end 2458.48221875
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 2461.35096875
transcript.pyannote[111].end 2464.43909375
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 2465.08034375
transcript.pyannote[112].end 2469.90659375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 2470.32846875
transcript.pyannote[113].end 2481.66846875
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 2481.83721875
transcript.pyannote[114].end 2486.57909375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 2486.95034375
transcript.pyannote[115].end 2488.41846875
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 2488.58721875
transcript.pyannote[116].end 2492.67096875
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 2492.75534375
transcript.pyannote[117].end 2494.72971875
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 2494.96596875
transcript.pyannote[118].end 2495.40471875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 2496.11346875
transcript.pyannote[119].end 2501.10846875
transcript.pyannote[120].speaker SPEAKER_04
transcript.pyannote[120].start 2501.68221875
transcript.pyannote[120].end 2504.28096875
transcript.pyannote[121].speaker SPEAKER_04
transcript.pyannote[121].start 2504.58471875
transcript.pyannote[121].end 2516.56596875
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 2516.93721875
transcript.pyannote[122].end 2518.15221875
transcript.pyannote[123].speaker SPEAKER_04
transcript.pyannote[123].start 2518.54034375
transcript.pyannote[123].end 2519.11409375
transcript.pyannote[124].speaker SPEAKER_04
transcript.pyannote[124].start 2519.38409375
transcript.pyannote[124].end 2521.99971875
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 2522.13471875
transcript.pyannote[125].end 2529.94784375
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 2530.31909375
transcript.pyannote[126].end 2533.76159375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 2533.86284375
transcript.pyannote[127].end 2536.71471875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 2537.77784375
transcript.pyannote[128].end 2548.03784375
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 2551.75034375
transcript.pyannote[129].end 2552.98221875
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 2553.99471875
transcript.pyannote[130].end 2556.00284375
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 2556.23909375
transcript.pyannote[131].end 2569.16534375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 2569.24971875
transcript.pyannote[132].end 2570.04284375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 2570.41409375
transcript.pyannote[133].end 2572.75971875
transcript.pyannote[134].speaker SPEAKER_04
transcript.pyannote[134].start 2572.92846875
transcript.pyannote[134].end 2576.80971875
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 2576.86034375
transcript.pyannote[135].end 2578.02471875
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 2578.71659375
transcript.pyannote[136].end 2582.58096875
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 2587.42409375
transcript.pyannote[137].end 2588.04846875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2588.06534375
transcript.pyannote[138].end 2588.57159375
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 2588.87534375
transcript.pyannote[139].end 2589.68534375
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 2590.14096875
transcript.pyannote[140].end 2603.50596875
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 2603.67471875
transcript.pyannote[141].end 2608.45034375
transcript.pyannote[142].speaker SPEAKER_04
transcript.pyannote[142].start 2610.25596875
transcript.pyannote[142].end 2613.02346875
transcript.pyannote[143].speaker SPEAKER_04
transcript.pyannote[143].start 2615.77409375
transcript.pyannote[143].end 2617.42784375
transcript.pyannote[144].speaker SPEAKER_04
transcript.pyannote[144].start 2617.68096875
transcript.pyannote[144].end 2618.44034375
transcript.pyannote[145].speaker SPEAKER_04
transcript.pyannote[145].start 2618.98034375
transcript.pyannote[145].end 2619.97596875
transcript.pyannote[146].speaker SPEAKER_04
transcript.pyannote[146].start 2620.17846875
transcript.pyannote[146].end 2620.81971875
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 2621.07284375
transcript.pyannote[147].end 2640.10784375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 2640.37784375
transcript.pyannote[148].end 2655.81846875
transcript.pyannote[149].speaker SPEAKER_04
transcript.pyannote[149].start 2657.10096875
transcript.pyannote[149].end 2657.42159375
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 2663.69909375
transcript.pyannote[150].end 2664.66096875
transcript.pyannote[151].speaker SPEAKER_04
transcript.pyannote[151].start 2664.89721875
transcript.pyannote[151].end 2667.81659375
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 2668.17096875
transcript.pyannote[152].end 2695.10346875
transcript.pyannote[153].speaker SPEAKER_04
transcript.pyannote[153].start 2695.28909375
transcript.pyannote[153].end 2701.97159375
transcript.pyannote[154].speaker SPEAKER_04
transcript.pyannote[154].start 2705.24534375
transcript.pyannote[154].end 2710.99971875
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 2714.18909375
transcript.pyannote[155].end 2716.55159375
transcript.pyannote[156].speaker SPEAKER_04
transcript.pyannote[156].start 2716.68659375
transcript.pyannote[156].end 2722.76159375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 2722.81221875
transcript.pyannote[157].end 2724.75284375
transcript.pyannote[158].speaker SPEAKER_04
transcript.pyannote[158].start 2725.49534375
transcript.pyannote[158].end 2740.86846875
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 2741.18909375
transcript.pyannote[159].end 2749.18784375
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 2749.42409375
transcript.pyannote[160].end 2749.98096875
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 2750.20034375
transcript.pyannote[161].end 2752.39409375
transcript.pyannote[162].speaker SPEAKER_04
transcript.pyannote[162].start 2753.13659375
transcript.pyannote[162].end 2754.11534375
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 2754.31784375
transcript.pyannote[163].end 2757.28784375
transcript.pyannote[164].speaker SPEAKER_04
transcript.pyannote[164].start 2757.37221875
transcript.pyannote[164].end 2758.09784375
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 2758.30034375
transcript.pyannote[165].end 2761.79346875
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 2761.96221875
transcript.pyannote[166].end 2763.95346875
transcript.pyannote[167].speaker SPEAKER_04
transcript.pyannote[167].start 2764.42596875
transcript.pyannote[167].end 2765.32034375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 2765.45534375
transcript.pyannote[168].end 2767.19346875
transcript.pyannote[169].speaker SPEAKER_04
transcript.pyannote[169].start 2772.74534375
transcript.pyannote[169].end 2773.13346875
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 2773.70721875
transcript.pyannote[170].end 2777.25096875
transcript.pyannote[171].speaker SPEAKER_04
transcript.pyannote[171].start 2777.40284375
transcript.pyannote[171].end 2780.20409375
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 2780.42346875
transcript.pyannote[172].end 2788.60784375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 2788.67534375
transcript.pyannote[173].end 2804.63909375
transcript.pyannote[174].speaker SPEAKER_04
transcript.pyannote[174].start 2804.80784375
transcript.pyannote[174].end 2805.60096875
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 2806.68096875
transcript.pyannote[175].end 2808.87471875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 2809.06034375
transcript.pyannote[176].end 2809.83659375
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 2810.35971875
transcript.pyannote[177].end 2815.21971875
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 2817.17721875
transcript.pyannote[178].end 2819.25284375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 2819.60721875
transcript.pyannote[179].end 2822.67846875
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 2825.66534375
transcript.pyannote[180].end 2827.63971875
transcript.pyannote[181].speaker SPEAKER_04
transcript.pyannote[181].start 2827.99409375
transcript.pyannote[181].end 2830.44096875
transcript.pyannote[182].speaker SPEAKER_04
transcript.pyannote[182].start 2830.72784375
transcript.pyannote[182].end 2843.80596875
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 2843.92409375
transcript.pyannote[183].end 2845.57784375
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 2845.64534375
transcript.pyannote[184].end 2847.56909375
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 2847.67034375
transcript.pyannote[185].end 2850.99471875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 2851.45034375
transcript.pyannote[186].end 2859.19596875
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 2861.13659375
transcript.pyannote[187].end 2862.53721875
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 2863.34721875
transcript.pyannote[188].end 2871.16034375
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 2872.86471875
transcript.pyannote[189].end 2873.92784375
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 2874.28221875
transcript.pyannote[190].end 2881.08284375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 2881.25159375
transcript.pyannote[191].end 2892.65909375
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 2892.96284375
transcript.pyannote[192].end 2895.17346875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 2895.51096875
transcript.pyannote[193].end 2904.52221875
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 2904.70784375
transcript.pyannote[194].end 2908.25159375
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 2908.80846875
transcript.pyannote[195].end 2910.04034375
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 2913.31409375
transcript.pyannote[196].end 2915.11971875
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 2915.52471875
transcript.pyannote[197].end 2918.37659375
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 2918.74784375
transcript.pyannote[198].end 2919.33846875
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 2920.14846875
transcript.pyannote[199].end 2927.40471875
transcript.pyannote[200].speaker SPEAKER_04
transcript.pyannote[200].start 2927.53971875
transcript.pyannote[200].end 2929.27784375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 2929.46346875
transcript.pyannote[201].end 2940.09471875
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 2940.17909375
transcript.pyannote[202].end 2943.14909375
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 2945.10659375
transcript.pyannote[203].end 2945.37659375
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 2945.69721875
transcript.pyannote[204].end 2951.56971875
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 2951.75534375
transcript.pyannote[205].end 2953.71284375
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 2953.79721875
transcript.pyannote[206].end 2958.72471875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 2959.01159375
transcript.pyannote[207].end 2962.84221875
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 2962.97721875
transcript.pyannote[208].end 2979.32909375
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 2979.46409375
transcript.pyannote[209].end 2983.21034375
transcript.pyannote[210].speaker SPEAKER_04
transcript.pyannote[210].start 2983.68284375
transcript.pyannote[210].end 2984.64471875
transcript.pyannote[211].speaker SPEAKER_04
transcript.pyannote[211].start 2985.11721875
transcript.pyannote[211].end 2988.01971875
transcript.pyannote[212].speaker SPEAKER_04
transcript.pyannote[212].start 2990.43284375
transcript.pyannote[212].end 2996.01846875
transcript.pyannote[213].speaker SPEAKER_04
transcript.pyannote[213].start 2996.60909375
transcript.pyannote[213].end 2998.07721875
transcript.pyannote[214].speaker SPEAKER_04
transcript.pyannote[214].start 2999.52846875
transcript.pyannote[214].end 3001.84034375
transcript.pyannote[215].speaker SPEAKER_04
transcript.pyannote[215].start 3002.11034375
transcript.pyannote[215].end 3006.78471875
transcript.pyannote[216].speaker SPEAKER_04
transcript.pyannote[216].start 3006.90284375
transcript.pyannote[216].end 3019.71096875
transcript.pyannote[217].speaker SPEAKER_04
transcript.pyannote[217].start 3020.04846875
transcript.pyannote[217].end 3021.58409375
transcript.pyannote[218].speaker SPEAKER_04
transcript.pyannote[218].start 3021.63471875
transcript.pyannote[218].end 3024.01409375
transcript.pyannote[219].speaker SPEAKER_04
transcript.pyannote[219].start 3024.33471875
transcript.pyannote[219].end 3027.20346875
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 3027.96284375
transcript.pyannote[220].end 3037.85159375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 3038.25659375
transcript.pyannote[221].end 3045.00659375
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 3045.34409375
transcript.pyannote[222].end 3057.10596875
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 3057.25784375
transcript.pyannote[223].end 3058.05096875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 3058.25346875
transcript.pyannote[224].end 3064.69971875
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 3065.67846875
transcript.pyannote[225].end 3069.96471875
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 3071.77034375
transcript.pyannote[226].end 3074.87534375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 3075.12846875
transcript.pyannote[227].end 3077.71034375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 3078.13221875
transcript.pyannote[228].end 3080.02221875
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 3082.57034375
transcript.pyannote[229].end 3085.33784375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 3085.94534375
transcript.pyannote[230].end 3086.40096875
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 3086.73846875
transcript.pyannote[231].end 3089.48909375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 3089.84346875
transcript.pyannote[232].end 3090.94034375
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 3091.21034375
transcript.pyannote[233].end 3091.71659375
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 3092.20596875
transcript.pyannote[234].end 3094.95659375
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 3095.44596875
transcript.pyannote[235].end 3099.88409375
transcript.pyannote[236].speaker SPEAKER_04
transcript.pyannote[236].start 3100.06971875
transcript.pyannote[236].end 3104.27159375
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 3104.49096875
transcript.pyannote[237].end 3105.48659375
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3106.22909375
transcript.pyannote[238].end 3107.32596875
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 3107.61284375
transcript.pyannote[239].end 3109.92471875
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 3110.26221875
transcript.pyannote[240].end 3110.97096875
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 3111.37596875
transcript.pyannote[241].end 3112.82721875
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 3112.96221875
transcript.pyannote[242].end 3118.10909375
transcript.pyannote[243].speaker SPEAKER_04
transcript.pyannote[243].start 3118.51409375
transcript.pyannote[243].end 3130.22534375
transcript.pyannote[244].speaker SPEAKER_04
transcript.pyannote[244].start 3130.29284375
transcript.pyannote[244].end 3145.32846875
transcript.pyannote[245].speaker SPEAKER_04
transcript.pyannote[245].start 3145.61534375
transcript.pyannote[245].end 3164.90346875
transcript.pyannote[246].speaker SPEAKER_04
transcript.pyannote[246].start 3165.10596875
transcript.pyannote[246].end 3170.62409375
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 3170.87721875
transcript.pyannote[247].end 3172.85159375
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 3173.30721875
transcript.pyannote[248].end 3173.74596875
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 3174.03284375
transcript.pyannote[249].end 3177.18846875
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 3178.89284375
transcript.pyannote[250].end 3179.95596875
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 3180.27659375
transcript.pyannote[251].end 3183.76971875
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 3184.10721875
transcript.pyannote[252].end 3184.88346875
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 3185.35596875
transcript.pyannote[253].end 3188.14034375
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 3188.56221875
transcript.pyannote[254].end 3191.86971875
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 3192.34221875
transcript.pyannote[255].end 3192.78096875
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 3193.32096875
transcript.pyannote[256].end 3196.20659375
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 3196.27409375
transcript.pyannote[257].end 3206.75346875
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 3207.46221875
transcript.pyannote[258].end 3211.52909375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 3211.68096875
transcript.pyannote[259].end 3214.26284375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 3214.65096875
transcript.pyannote[260].end 3218.61659375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 3219.91596875
transcript.pyannote[261].end 3223.42596875
transcript.pyannote[262].speaker SPEAKER_04
transcript.pyannote[262].start 3223.62846875
transcript.pyannote[262].end 3258.57659375
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 3258.81284375
transcript.pyannote[263].end 3260.17971875
transcript.pyannote[264].speaker SPEAKER_04
transcript.pyannote[264].start 3260.90534375
transcript.pyannote[264].end 3261.96846875
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 3263.62221875
transcript.pyannote[265].end 3268.36409375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 3268.39784375
transcript.pyannote[266].end 3275.46846875
transcript.pyannote[267].speaker SPEAKER_04
transcript.pyannote[267].start 3275.92409375
transcript.pyannote[267].end 3276.37971875
transcript.pyannote[268].speaker SPEAKER_04
transcript.pyannote[268].start 3277.02096875
transcript.pyannote[268].end 3281.67846875
transcript.pyannote[269].speaker SPEAKER_04
transcript.pyannote[269].start 3282.13409375
transcript.pyannote[269].end 3285.01971875
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 3285.30659375
transcript.pyannote[270].end 3286.69034375
transcript.pyannote[271].speaker SPEAKER_04
transcript.pyannote[271].start 3286.79159375
transcript.pyannote[271].end 3287.46659375
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 3287.58471875
transcript.pyannote[272].end 3293.86221875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 3294.25034375
transcript.pyannote[273].end 3297.35534375
transcript.pyannote[274].speaker SPEAKER_29
transcript.pyannote[274].start 3302.21534375
transcript.pyannote[274].end 3302.67096875
transcript.pyannote[275].speaker SPEAKER_29
transcript.pyannote[275].start 3303.31221875
transcript.pyannote[275].end 3303.81846875
transcript.pyannote[276].speaker SPEAKER_29
transcript.pyannote[276].start 3304.12221875
transcript.pyannote[276].end 3316.49159375
transcript.pyannote[277].speaker SPEAKER_32
transcript.pyannote[277].start 3322.73534375
transcript.pyannote[277].end 3325.30034375
transcript.pyannote[278].speaker SPEAKER_32
transcript.pyannote[278].start 3326.90346875
transcript.pyannote[278].end 3375.11534375
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 3375.26721875
transcript.pyannote[279].end 3386.75909375
transcript.pyannote[280].speaker SPEAKER_32
transcript.pyannote[280].start 3386.25284375
transcript.pyannote[280].end 3410.33346875
transcript.pyannote[281].speaker SPEAKER_32
transcript.pyannote[281].start 3410.41784375
transcript.pyannote[281].end 3413.50596875
transcript.pyannote[282].speaker SPEAKER_04
transcript.pyannote[282].start 3414.04596875
transcript.pyannote[282].end 3414.56909375
transcript.pyannote[283].speaker SPEAKER_32
transcript.pyannote[283].start 3414.56909375
transcript.pyannote[283].end 3414.61971875
transcript.pyannote[284].speaker SPEAKER_04
transcript.pyannote[284].start 3414.61971875
transcript.pyannote[284].end 3414.63659375
transcript.pyannote[285].speaker SPEAKER_32
transcript.pyannote[285].start 3414.63659375
transcript.pyannote[285].end 3414.65346875
transcript.pyannote[286].speaker SPEAKER_32
transcript.pyannote[286].start 3414.85596875
transcript.pyannote[286].end 3416.81346875
transcript.pyannote[287].speaker SPEAKER_04
transcript.pyannote[287].start 3416.64471875
transcript.pyannote[287].end 3422.92221875
transcript.pyannote[288].speaker SPEAKER_32
transcript.pyannote[288].start 3422.46659375
transcript.pyannote[288].end 3431.79846875
transcript.pyannote[289].speaker SPEAKER_32
transcript.pyannote[289].start 3432.10221875
transcript.pyannote[289].end 3445.09596875
transcript.pyannote[290].speaker SPEAKER_39
transcript.pyannote[290].start 3434.51534375
transcript.pyannote[290].end 3434.95409375
transcript.pyannote[291].speaker SPEAKER_39
transcript.pyannote[291].start 3440.94471875
transcript.pyannote[291].end 3440.96159375
transcript.pyannote[292].speaker SPEAKER_04
transcript.pyannote[292].start 3440.96159375
transcript.pyannote[292].end 3444.04971875
transcript.pyannote[293].speaker SPEAKER_05
transcript.pyannote[293].start 3444.04971875
transcript.pyannote[293].end 3444.16784375
transcript.pyannote[294].speaker SPEAKER_05
transcript.pyannote[294].start 3444.62346875
transcript.pyannote[294].end 3444.64034375
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 3444.64034375
transcript.pyannote[295].end 3445.07909375
transcript.pyannote[296].speaker SPEAKER_04
transcript.pyannote[296].start 3445.09596875
transcript.pyannote[296].end 3445.24784375
transcript.pyannote[297].speaker SPEAKER_05
transcript.pyannote[297].start 3445.24784375
transcript.pyannote[297].end 3445.29846875
transcript.pyannote[298].speaker SPEAKER_04
transcript.pyannote[298].start 3445.29846875
transcript.pyannote[298].end 3445.77096875
transcript.pyannote[299].speaker SPEAKER_05
transcript.pyannote[299].start 3445.77096875
transcript.pyannote[299].end 3445.78784375
transcript.pyannote[300].speaker SPEAKER_04
transcript.pyannote[300].start 3445.78784375
transcript.pyannote[300].end 3445.85534375
transcript.pyannote[301].speaker SPEAKER_05
transcript.pyannote[301].start 3445.85534375
transcript.pyannote[301].end 3445.92284375
transcript.pyannote[302].speaker SPEAKER_04
transcript.pyannote[302].start 3445.92284375
transcript.pyannote[302].end 3445.97346875
transcript.pyannote[303].speaker SPEAKER_05
transcript.pyannote[303].start 3445.97346875
transcript.pyannote[303].end 3446.02409375
transcript.pyannote[304].speaker SPEAKER_32
transcript.pyannote[304].start 3446.02409375
transcript.pyannote[304].end 3478.27221875
transcript.pyannote[305].speaker SPEAKER_05
transcript.pyannote[305].start 3446.05784375
transcript.pyannote[305].end 3446.88471875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 3476.41596875
transcript.pyannote[306].end 3481.84971875
transcript.pyannote[307].speaker SPEAKER_32
transcript.pyannote[307].start 3480.95534375
transcript.pyannote[307].end 3491.92409375
transcript.pyannote[308].speaker SPEAKER_32
transcript.pyannote[308].start 3492.12659375
transcript.pyannote[308].end 3509.98034375
transcript.pyannote[309].speaker SPEAKER_04
transcript.pyannote[309].start 3510.30096875
transcript.pyannote[309].end 3519.85221875
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 3520.34159375
transcript.pyannote[310].end 3523.90221875
transcript.pyannote[311].speaker SPEAKER_32
transcript.pyannote[311].start 3522.23159375
transcript.pyannote[311].end 3550.46346875
transcript.pyannote[312].speaker SPEAKER_04
transcript.pyannote[312].start 3549.53534375
transcript.pyannote[312].end 3552.04971875
transcript.pyannote[313].speaker SPEAKER_32
transcript.pyannote[313].start 3550.88534375
transcript.pyannote[313].end 3551.00346875
transcript.pyannote[314].speaker SPEAKER_39
transcript.pyannote[314].start 3551.00346875
transcript.pyannote[314].end 3551.39159375
transcript.pyannote[315].speaker SPEAKER_32
transcript.pyannote[315].start 3551.39159375
transcript.pyannote[315].end 3566.20784375
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 3564.53721875
transcript.pyannote[316].end 3586.00221875
transcript.pyannote[317].speaker SPEAKER_05
transcript.pyannote[317].start 3578.42534375
transcript.pyannote[317].end 3581.74971875
transcript.pyannote[318].speaker SPEAKER_32
transcript.pyannote[318].start 3581.74971875
transcript.pyannote[318].end 3581.80034375
transcript.pyannote[319].speaker SPEAKER_32
transcript.pyannote[319].start 3584.63534375
transcript.pyannote[319].end 3616.47846875
transcript.pyannote[320].speaker SPEAKER_32
transcript.pyannote[320].start 3616.81596875
transcript.pyannote[320].end 3634.29846875
transcript.pyannote[321].speaker SPEAKER_04
transcript.pyannote[321].start 3628.99971875
transcript.pyannote[321].end 3636.05346875
transcript.pyannote[322].speaker SPEAKER_32
transcript.pyannote[322].start 3636.05346875
transcript.pyannote[322].end 3658.04159375
transcript.pyannote[323].speaker SPEAKER_04
transcript.pyannote[323].start 3640.27221875
transcript.pyannote[323].end 3641.97659375
transcript.pyannote[324].speaker SPEAKER_39
transcript.pyannote[324].start 3641.97659375
transcript.pyannote[324].end 3641.99346875
transcript.pyannote[325].speaker SPEAKER_04
transcript.pyannote[325].start 3641.99346875
transcript.pyannote[325].end 3642.01034375
transcript.pyannote[326].speaker SPEAKER_39
transcript.pyannote[326].start 3642.01034375
transcript.pyannote[326].end 3642.02721875
transcript.pyannote[327].speaker SPEAKER_04
transcript.pyannote[327].start 3655.98284375
transcript.pyannote[327].end 3662.51346875
transcript.pyannote[328].speaker SPEAKER_32
transcript.pyannote[328].start 3661.16346875
transcript.pyannote[328].end 3693.07409375
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 3663.62721875
transcript.pyannote[329].end 3667.96409375
transcript.pyannote[330].speaker SPEAKER_05
transcript.pyannote[330].start 3667.96409375
transcript.pyannote[330].end 3668.03159375
transcript.pyannote[331].speaker SPEAKER_39
transcript.pyannote[331].start 3668.03159375
transcript.pyannote[331].end 3671.54159375
transcript.pyannote[332].speaker SPEAKER_04
transcript.pyannote[332].start 3692.12909375
transcript.pyannote[332].end 3700.02659375
transcript.pyannote[333].speaker SPEAKER_32
transcript.pyannote[333].start 3697.32659375
transcript.pyannote[333].end 3697.79909375
transcript.pyannote[334].speaker SPEAKER_32
transcript.pyannote[334].start 3698.55846875
transcript.pyannote[334].end 3709.56096875
transcript.pyannote[335].speaker SPEAKER_04
transcript.pyannote[335].start 3709.56096875
transcript.pyannote[335].end 3716.51346875
transcript.pyannote[336].speaker SPEAKER_32
transcript.pyannote[336].start 3713.25659375
transcript.pyannote[336].end 3728.81534375
transcript.pyannote[337].speaker SPEAKER_04
transcript.pyannote[337].start 3726.36846875
transcript.pyannote[337].end 3730.70534375
transcript.pyannote[338].speaker SPEAKER_32
transcript.pyannote[338].start 3730.70534375
transcript.pyannote[338].end 3735.61596875
transcript.pyannote[339].speaker SPEAKER_32
transcript.pyannote[339].start 3735.91971875
transcript.pyannote[339].end 3740.93159375
transcript.pyannote[340].speaker SPEAKER_04
transcript.pyannote[340].start 3739.83471875
transcript.pyannote[340].end 3743.10846875
transcript.pyannote[341].speaker SPEAKER_32
transcript.pyannote[341].start 3742.18034375
transcript.pyannote[341].end 3758.90346875
transcript.pyannote[342].speaker SPEAKER_04
transcript.pyannote[342].start 3746.01096875
transcript.pyannote[342].end 3747.96846875
transcript.pyannote[343].speaker SPEAKER_39
transcript.pyannote[343].start 3747.96846875
transcript.pyannote[343].end 3747.98534375
transcript.pyannote[344].speaker SPEAKER_04
transcript.pyannote[344].start 3747.98534375
transcript.pyannote[344].end 3748.12034375
transcript.pyannote[345].speaker SPEAKER_04
transcript.pyannote[345].start 3756.40596875
transcript.pyannote[345].end 3757.60409375
transcript.pyannote[346].speaker SPEAKER_04
transcript.pyannote[346].start 3758.29596875
transcript.pyannote[346].end 3766.02471875
transcript.pyannote[347].speaker SPEAKER_32
transcript.pyannote[347].start 3760.67534375
transcript.pyannote[347].end 3761.97471875
transcript.pyannote[348].speaker SPEAKER_32
transcript.pyannote[348].start 3762.02534375
transcript.pyannote[348].end 3770.22659375
transcript.pyannote[349].speaker SPEAKER_32
transcript.pyannote[349].start 3771.42471875
transcript.pyannote[349].end 3799.25159375
transcript.pyannote[350].speaker SPEAKER_05
transcript.pyannote[350].start 3771.44159375
transcript.pyannote[350].end 3771.66096875
transcript.pyannote[351].speaker SPEAKER_04
transcript.pyannote[351].start 3771.66096875
transcript.pyannote[351].end 3771.67784375
transcript.pyannote[352].speaker SPEAKER_05
transcript.pyannote[352].start 3771.67784375
transcript.pyannote[352].end 3771.77909375
transcript.pyannote[353].speaker SPEAKER_04
transcript.pyannote[353].start 3771.77909375
transcript.pyannote[353].end 3771.88034375
transcript.pyannote[354].speaker SPEAKER_05
transcript.pyannote[354].start 3771.88034375
transcript.pyannote[354].end 3772.13346875
transcript.pyannote[355].speaker SPEAKER_02
transcript.pyannote[355].start 3772.13346875
transcript.pyannote[355].end 3772.16721875
transcript.pyannote[356].speaker SPEAKER_37
transcript.pyannote[356].start 3773.06159375
transcript.pyannote[356].end 3773.16284375
transcript.pyannote[357].speaker SPEAKER_05
transcript.pyannote[357].start 3773.16284375
transcript.pyannote[357].end 3774.46221875
transcript.pyannote[358].speaker SPEAKER_05
transcript.pyannote[358].start 3779.01846875
transcript.pyannote[358].end 3779.35596875
transcript.pyannote[359].speaker SPEAKER_05
transcript.pyannote[359].start 3782.46096875
transcript.pyannote[359].end 3783.50721875
transcript.pyannote[360].speaker SPEAKER_39
transcript.pyannote[360].start 3783.50721875
transcript.pyannote[360].end 3783.52409375
transcript.pyannote[361].speaker SPEAKER_05
transcript.pyannote[361].start 3786.51096875
transcript.pyannote[361].end 3788.35034375
transcript.pyannote[362].speaker SPEAKER_04
transcript.pyannote[362].start 3799.04909375
transcript.pyannote[362].end 3807.43596875
transcript.pyannote[363].speaker SPEAKER_32
transcript.pyannote[363].start 3804.46596875
transcript.pyannote[363].end 3811.11471875
transcript.pyannote[364].speaker SPEAKER_04
transcript.pyannote[364].start 3811.11471875
transcript.pyannote[364].end 3818.28659375
transcript.pyannote[365].speaker SPEAKER_29
transcript.pyannote[365].start 3826.31909375
transcript.pyannote[365].end 3828.27659375
transcript.pyannote[366].speaker SPEAKER_29
transcript.pyannote[366].start 3831.88784375
transcript.pyannote[366].end 3832.59659375
transcript.pyannote[367].speaker SPEAKER_28
transcript.pyannote[367].start 3832.59659375
transcript.pyannote[367].end 3832.61346875
transcript.pyannote[368].speaker SPEAKER_29
transcript.pyannote[368].start 3832.81596875
transcript.pyannote[368].end 3832.96784375
transcript.pyannote[369].speaker SPEAKER_28
transcript.pyannote[369].start 3832.96784375
transcript.pyannote[369].end 3833.57534375
transcript.pyannote[370].speaker SPEAKER_33
transcript.pyannote[370].start 3838.04721875
transcript.pyannote[370].end 3842.67096875
transcript.pyannote[371].speaker SPEAKER_28
transcript.pyannote[371].start 3839.78534375
transcript.pyannote[371].end 3839.80221875
transcript.pyannote[372].speaker SPEAKER_39
transcript.pyannote[372].start 3839.80221875
transcript.pyannote[372].end 3840.35909375
transcript.pyannote[373].speaker SPEAKER_33
transcript.pyannote[373].start 3842.80596875
transcript.pyannote[373].end 3847.36221875
transcript.pyannote[374].speaker SPEAKER_33
transcript.pyannote[374].start 3847.68284375
transcript.pyannote[374].end 3855.20909375
transcript.pyannote[375].speaker SPEAKER_33
transcript.pyannote[375].start 3855.34409375
transcript.pyannote[375].end 3887.72721875
transcript.pyannote[376].speaker SPEAKER_04
transcript.pyannote[376].start 3886.76534375
transcript.pyannote[376].end 3895.42221875
transcript.pyannote[377].speaker SPEAKER_33
transcript.pyannote[377].start 3887.81159375
transcript.pyannote[377].end 3888.63846875
transcript.pyannote[378].speaker SPEAKER_29
transcript.pyannote[378].start 3894.52784375
transcript.pyannote[378].end 3896.21534375
transcript.pyannote[379].speaker SPEAKER_33
transcript.pyannote[379].start 3896.21534375
transcript.pyannote[379].end 3896.24909375
transcript.pyannote[380].speaker SPEAKER_04
transcript.pyannote[380].start 3896.35034375
transcript.pyannote[380].end 3896.80596875
transcript.pyannote[381].speaker SPEAKER_33
transcript.pyannote[381].start 3896.75534375
transcript.pyannote[381].end 3896.77221875
transcript.pyannote[382].speaker SPEAKER_29
transcript.pyannote[382].start 3896.77221875
transcript.pyannote[382].end 3898.00409375
transcript.pyannote[383].speaker SPEAKER_33
transcript.pyannote[383].start 3901.15971875
transcript.pyannote[383].end 3901.32846875
transcript.pyannote[384].speaker SPEAKER_33
transcript.pyannote[384].start 3901.96971875
transcript.pyannote[384].end 3902.05409375
transcript.pyannote[385].speaker SPEAKER_33
transcript.pyannote[385].start 3902.07096875
transcript.pyannote[385].end 3902.35784375
transcript.pyannote[386].speaker SPEAKER_33
transcript.pyannote[386].start 3902.96534375
transcript.pyannote[386].end 3903.03284375
transcript.pyannote[387].speaker SPEAKER_33
transcript.pyannote[387].start 3903.11721875
transcript.pyannote[387].end 3904.14659375
transcript.pyannote[388].speaker SPEAKER_28
transcript.pyannote[388].start 3909.39471875
transcript.pyannote[388].end 3910.32284375
transcript.pyannote[389].speaker SPEAKER_33
transcript.pyannote[389].start 3910.32284375
transcript.pyannote[389].end 3911.65596875
transcript.pyannote[390].speaker SPEAKER_33
transcript.pyannote[390].start 3911.95971875
transcript.pyannote[390].end 3927.48471875
transcript.pyannote[391].speaker SPEAKER_33
transcript.pyannote[391].start 3927.85596875
transcript.pyannote[391].end 3994.22534375
transcript.pyannote[392].speaker SPEAKER_40
transcript.pyannote[392].start 3954.88971875
transcript.pyannote[392].end 3955.37909375
transcript.pyannote[393].speaker SPEAKER_00
transcript.pyannote[393].start 3957.55596875
transcript.pyannote[393].end 3957.57284375
transcript.pyannote[394].speaker SPEAKER_40
transcript.pyannote[394].start 3957.57284375
transcript.pyannote[394].end 3958.04534375
transcript.pyannote[395].speaker SPEAKER_33
transcript.pyannote[395].start 3995.30534375
transcript.pyannote[395].end 3995.82846875
transcript.pyannote[396].speaker SPEAKER_33
transcript.pyannote[396].start 3996.45284375
transcript.pyannote[396].end 4000.35096875
transcript.pyannote[397].speaker SPEAKER_33
transcript.pyannote[397].start 4000.55346875
transcript.pyannote[397].end 4025.98409375
transcript.pyannote[398].speaker SPEAKER_33
transcript.pyannote[398].start 4026.42284375
transcript.pyannote[398].end 4035.63659375
transcript.pyannote[399].speaker SPEAKER_33
transcript.pyannote[399].start 4036.22721875
transcript.pyannote[399].end 4054.41846875
transcript.pyannote[400].speaker SPEAKER_33
transcript.pyannote[400].start 4054.78971875
transcript.pyannote[400].end 4069.52159375
transcript.pyannote[401].speaker SPEAKER_33
transcript.pyannote[401].start 4069.70721875
transcript.pyannote[401].end 4129.42784375
transcript.pyannote[402].speaker SPEAKER_33
transcript.pyannote[402].start 4129.76534375
transcript.pyannote[402].end 4136.70096875
transcript.pyannote[403].speaker SPEAKER_33
transcript.pyannote[403].start 4137.10596875
transcript.pyannote[403].end 4170.51846875
transcript.pyannote[404].speaker SPEAKER_33
transcript.pyannote[404].start 4170.90659375
transcript.pyannote[404].end 4172.83034375
transcript.pyannote[405].speaker SPEAKER_33
transcript.pyannote[405].start 4173.11721875
transcript.pyannote[405].end 4183.32659375
transcript.pyannote[406].speaker SPEAKER_33
transcript.pyannote[406].start 4184.33909375
transcript.pyannote[406].end 4195.34159375
transcript.pyannote[407].speaker SPEAKER_33
transcript.pyannote[407].start 4195.71284375
transcript.pyannote[407].end 4232.31471875
transcript.pyannote[408].speaker SPEAKER_33
transcript.pyannote[408].start 4232.75346875
transcript.pyannote[408].end 4236.33096875
transcript.pyannote[409].speaker SPEAKER_33
transcript.pyannote[409].start 4236.61784375
transcript.pyannote[409].end 4300.54034375
transcript.pyannote[410].speaker SPEAKER_33
transcript.pyannote[410].start 4300.75971875
transcript.pyannote[410].end 4353.20721875
transcript.pyannote[411].speaker SPEAKER_33
transcript.pyannote[411].start 4353.32534375
transcript.pyannote[411].end 4361.66159375
transcript.pyannote[412].speaker SPEAKER_33
transcript.pyannote[412].start 4361.96534375
transcript.pyannote[412].end 4408.67534375
transcript.pyannote[413].speaker SPEAKER_04
transcript.pyannote[413].start 4409.67096875
transcript.pyannote[413].end 4447.60596875
transcript.pyannote[414].speaker SPEAKER_33
transcript.pyannote[414].start 4445.05784375
transcript.pyannote[414].end 4455.13221875
transcript.pyannote[415].speaker SPEAKER_04
transcript.pyannote[415].start 4451.13284375
transcript.pyannote[415].end 4451.38596875
transcript.pyannote[416].speaker SPEAKER_04
transcript.pyannote[416].start 4454.52471875
transcript.pyannote[416].end 4458.89534375
transcript.pyannote[417].speaker SPEAKER_33
transcript.pyannote[417].start 4458.27096875
transcript.pyannote[417].end 4462.11846875
transcript.pyannote[418].speaker SPEAKER_04
transcript.pyannote[418].start 4459.31721875
transcript.pyannote[418].end 4463.87346875
transcript.pyannote[419].speaker SPEAKER_33
transcript.pyannote[419].start 4462.47284375
transcript.pyannote[419].end 4467.04596875
transcript.pyannote[420].speaker SPEAKER_04
transcript.pyannote[420].start 4466.53971875
transcript.pyannote[420].end 4466.97846875
transcript.pyannote[421].speaker SPEAKER_04
transcript.pyannote[421].start 4467.01221875
transcript.pyannote[421].end 4476.73221875
transcript.pyannote[422].speaker SPEAKER_33
transcript.pyannote[422].start 4467.38346875
transcript.pyannote[422].end 4467.70409375
transcript.pyannote[423].speaker SPEAKER_33
transcript.pyannote[423].start 4474.33596875
transcript.pyannote[423].end 4482.52034375
transcript.pyannote[424].speaker SPEAKER_04
transcript.pyannote[424].start 4477.79534375
transcript.pyannote[424].end 4478.08221875
transcript.pyannote[425].speaker SPEAKER_04
transcript.pyannote[425].start 4478.16659375
transcript.pyannote[425].end 4479.01034375
transcript.pyannote[426].speaker SPEAKER_04
transcript.pyannote[426].start 4480.74846875
transcript.pyannote[426].end 4484.29221875
transcript.pyannote[427].speaker SPEAKER_33
transcript.pyannote[427].start 4483.04346875
transcript.pyannote[427].end 4489.15221875
transcript.pyannote[428].speaker SPEAKER_04
transcript.pyannote[428].start 4487.12721875
transcript.pyannote[428].end 4488.47721875
transcript.pyannote[429].speaker SPEAKER_29
transcript.pyannote[429].start 4495.19346875
transcript.pyannote[429].end 4497.84284375
transcript.pyannote[430].speaker SPEAKER_28
transcript.pyannote[430].start 4505.47034375
transcript.pyannote[430].end 4505.90909375
transcript.pyannote[431].speaker SPEAKER_40
transcript.pyannote[431].start 4505.90909375
transcript.pyannote[431].end 4505.95971875
transcript.pyannote[432].speaker SPEAKER_30
transcript.pyannote[432].start 4506.97221875
transcript.pyannote[432].end 4510.09409375
transcript.pyannote[433].speaker SPEAKER_28
transcript.pyannote[433].start 4510.17846875
transcript.pyannote[433].end 4510.95471875
transcript.pyannote[434].speaker SPEAKER_39
transcript.pyannote[434].start 4517.89034375
transcript.pyannote[434].end 4517.99159375
transcript.pyannote[435].speaker SPEAKER_30
transcript.pyannote[435].start 4518.41346875
transcript.pyannote[435].end 4519.24034375
transcript.pyannote[436].speaker SPEAKER_30
transcript.pyannote[436].start 4519.74659375
transcript.pyannote[436].end 4525.70346875
transcript.pyannote[437].speaker SPEAKER_30
transcript.pyannote[437].start 4525.75409375
transcript.pyannote[437].end 4529.78721875
transcript.pyannote[438].speaker SPEAKER_30
transcript.pyannote[438].start 4530.32721875
transcript.pyannote[438].end 4538.51159375
transcript.pyannote[439].speaker SPEAKER_30
transcript.pyannote[439].start 4538.95034375
transcript.pyannote[439].end 4540.72221875
transcript.pyannote[440].speaker SPEAKER_30
transcript.pyannote[440].start 4540.95846875
transcript.pyannote[440].end 4543.67534375
transcript.pyannote[441].speaker SPEAKER_30
transcript.pyannote[441].start 4544.16471875
transcript.pyannote[441].end 4549.10909375
transcript.pyannote[442].speaker SPEAKER_30
transcript.pyannote[442].start 4549.32846875
transcript.pyannote[442].end 4554.76221875
transcript.pyannote[443].speaker SPEAKER_04
transcript.pyannote[443].start 4553.26034375
transcript.pyannote[443].end 4556.12909375
transcript.pyannote[444].speaker SPEAKER_30
transcript.pyannote[444].start 4556.38221875
transcript.pyannote[444].end 4557.49596875
transcript.pyannote[445].speaker SPEAKER_04
transcript.pyannote[445].start 4556.65221875
transcript.pyannote[445].end 4560.38159375
transcript.pyannote[446].speaker SPEAKER_30
transcript.pyannote[446].start 4560.60096875
transcript.pyannote[446].end 4562.17034375
transcript.pyannote[447].speaker SPEAKER_04
transcript.pyannote[447].start 4562.13659375
transcript.pyannote[447].end 4562.49096875
transcript.pyannote[448].speaker SPEAKER_30
transcript.pyannote[448].start 4562.40659375
transcript.pyannote[448].end 4562.82846875
transcript.pyannote[449].speaker SPEAKER_30
transcript.pyannote[449].start 4562.96346875
transcript.pyannote[449].end 4570.27034375
transcript.pyannote[450].speaker SPEAKER_30
transcript.pyannote[450].start 4570.67534375
transcript.pyannote[450].end 4574.50596875
transcript.pyannote[451].speaker SPEAKER_30
transcript.pyannote[451].start 4574.74221875
transcript.pyannote[451].end 4579.73721875
transcript.pyannote[452].speaker SPEAKER_04
transcript.pyannote[452].start 4579.82159375
transcript.pyannote[452].end 4583.41596875
transcript.pyannote[453].speaker SPEAKER_30
transcript.pyannote[453].start 4584.46221875
transcript.pyannote[453].end 4584.85034375
transcript.pyannote[454].speaker SPEAKER_30
transcript.pyannote[454].start 4585.60971875
transcript.pyannote[454].end 4587.24659375
transcript.pyannote[455].speaker SPEAKER_30
transcript.pyannote[455].start 4589.79471875
transcript.pyannote[455].end 4591.33034375
transcript.pyannote[456].speaker SPEAKER_30
transcript.pyannote[456].start 4591.44846875
transcript.pyannote[456].end 4593.00096875
transcript.pyannote[457].speaker SPEAKER_30
transcript.pyannote[457].start 4593.30471875
transcript.pyannote[457].end 4594.06409375
transcript.pyannote[458].speaker SPEAKER_30
transcript.pyannote[458].start 4594.92471875
transcript.pyannote[458].end 4595.43096875
transcript.pyannote[459].speaker SPEAKER_39
transcript.pyannote[459].start 4595.43096875
transcript.pyannote[459].end 4595.68409375
transcript.pyannote[460].speaker SPEAKER_30
transcript.pyannote[460].start 4595.68409375
transcript.pyannote[460].end 4597.35471875
transcript.pyannote[461].speaker SPEAKER_39
transcript.pyannote[461].start 4595.73471875
transcript.pyannote[461].end 4595.83596875
transcript.pyannote[462].speaker SPEAKER_30
transcript.pyannote[462].start 4597.67534375
transcript.pyannote[462].end 4599.51471875
transcript.pyannote[463].speaker SPEAKER_30
transcript.pyannote[463].start 4600.05471875
transcript.pyannote[463].end 4603.51409375
transcript.pyannote[464].speaker SPEAKER_30
transcript.pyannote[464].start 4603.95284375
transcript.pyannote[464].end 4607.32784375
transcript.pyannote[465].speaker SPEAKER_30
transcript.pyannote[465].start 4607.86784375
transcript.pyannote[465].end 4608.39096875
transcript.pyannote[466].speaker SPEAKER_08
transcript.pyannote[466].start 4608.39096875
transcript.pyannote[466].end 4608.79596875
transcript.pyannote[467].speaker SPEAKER_30
transcript.pyannote[467].start 4609.15034375
transcript.pyannote[467].end 4610.17971875
transcript.pyannote[468].speaker SPEAKER_30
transcript.pyannote[468].start 4610.43284375
transcript.pyannote[468].end 4613.03159375
transcript.pyannote[469].speaker SPEAKER_30
transcript.pyannote[469].start 4613.33534375
transcript.pyannote[469].end 4614.87096875
transcript.pyannote[470].speaker SPEAKER_08
transcript.pyannote[470].start 4614.83721875
transcript.pyannote[470].end 4615.30971875
transcript.pyannote[471].speaker SPEAKER_30
transcript.pyannote[471].start 4615.17471875
transcript.pyannote[471].end 4618.11096875
transcript.pyannote[472].speaker SPEAKER_08
transcript.pyannote[472].start 4618.00971875
transcript.pyannote[472].end 4618.38096875
transcript.pyannote[473].speaker SPEAKER_30
transcript.pyannote[473].start 4618.54971875
transcript.pyannote[473].end 4624.79346875
transcript.pyannote[474].speaker SPEAKER_04
transcript.pyannote[474].start 4624.94534375
transcript.pyannote[474].end 4627.29096875
transcript.pyannote[475].speaker SPEAKER_30
transcript.pyannote[475].start 4627.10534375
transcript.pyannote[475].end 4627.39221875
transcript.pyannote[476].speaker SPEAKER_04
transcript.pyannote[476].start 4627.39221875
transcript.pyannote[476].end 4628.47221875
transcript.pyannote[477].speaker SPEAKER_30
transcript.pyannote[477].start 4629.19784375
transcript.pyannote[477].end 4630.32846875
transcript.pyannote[478].speaker SPEAKER_30
transcript.pyannote[478].start 4630.51409375
transcript.pyannote[478].end 4631.96534375
transcript.pyannote[479].speaker SPEAKER_30
transcript.pyannote[479].start 4632.50534375
transcript.pyannote[479].end 4634.56409375
transcript.pyannote[480].speaker SPEAKER_30
transcript.pyannote[480].start 4635.96471875
transcript.pyannote[480].end 4637.39909375
transcript.pyannote[481].speaker SPEAKER_30
transcript.pyannote[481].start 4637.88846875
transcript.pyannote[481].end 4642.12409375
transcript.pyannote[482].speaker SPEAKER_30
transcript.pyannote[482].start 4643.32221875
transcript.pyannote[482].end 4645.04346875
transcript.pyannote[483].speaker SPEAKER_30
transcript.pyannote[483].start 4645.51596875
transcript.pyannote[483].end 4648.33409375
transcript.pyannote[484].speaker SPEAKER_30
transcript.pyannote[484].start 4648.97534375
transcript.pyannote[484].end 4651.03409375
transcript.pyannote[485].speaker SPEAKER_30
transcript.pyannote[485].start 4651.23659375
transcript.pyannote[485].end 4652.56971875
transcript.pyannote[486].speaker SPEAKER_30
transcript.pyannote[486].start 4652.95784375
transcript.pyannote[486].end 4657.21034375
transcript.pyannote[487].speaker SPEAKER_30
transcript.pyannote[487].start 4657.26096875
transcript.pyannote[487].end 4659.60659375
transcript.pyannote[488].speaker SPEAKER_30
transcript.pyannote[488].start 4659.64034375
transcript.pyannote[488].end 4660.55159375
transcript.pyannote[489].speaker SPEAKER_30
transcript.pyannote[489].start 4661.20971875
transcript.pyannote[489].end 4664.98971875
transcript.pyannote[490].speaker SPEAKER_30
transcript.pyannote[490].start 4665.37784375
transcript.pyannote[490].end 4673.08971875
transcript.pyannote[491].speaker SPEAKER_08
transcript.pyannote[491].start 4672.48221875
transcript.pyannote[491].end 4673.47784375
transcript.pyannote[492].speaker SPEAKER_30
transcript.pyannote[492].start 4673.47784375
transcript.pyannote[492].end 4676.21159375
transcript.pyannote[493].speaker SPEAKER_30
transcript.pyannote[493].start 4676.58284375
transcript.pyannote[493].end 4692.64784375
transcript.pyannote[494].speaker SPEAKER_30
transcript.pyannote[494].start 4693.05284375
transcript.pyannote[494].end 4694.63909375
transcript.pyannote[495].speaker SPEAKER_08
transcript.pyannote[495].start 4694.77409375
transcript.pyannote[495].end 4695.12846875
transcript.pyannote[496].speaker SPEAKER_30
transcript.pyannote[496].start 4695.14534375
transcript.pyannote[496].end 4696.29284375
transcript.pyannote[497].speaker SPEAKER_30
transcript.pyannote[497].start 4696.42784375
transcript.pyannote[497].end 4699.00971875
transcript.pyannote[498].speaker SPEAKER_30
transcript.pyannote[498].start 4699.39784375
transcript.pyannote[498].end 4701.92909375
transcript.pyannote[499].speaker SPEAKER_30
transcript.pyannote[499].start 4702.78971875
transcript.pyannote[499].end 4704.46034375
transcript.pyannote[500].speaker SPEAKER_04
transcript.pyannote[500].start 4704.07221875
transcript.pyannote[500].end 4717.42034375
transcript.pyannote[501].speaker SPEAKER_04
transcript.pyannote[501].start 4717.89284375
transcript.pyannote[501].end 4728.40596875
transcript.pyannote[502].speaker SPEAKER_30
transcript.pyannote[502].start 4722.55034375
transcript.pyannote[502].end 4723.05659375
transcript.pyannote[503].speaker SPEAKER_30
transcript.pyannote[503].start 4727.27534375
transcript.pyannote[503].end 4753.21221875
transcript.pyannote[504].speaker SPEAKER_04
transcript.pyannote[504].start 4728.97971875
transcript.pyannote[504].end 4729.46909375
transcript.pyannote[505].speaker SPEAKER_04
transcript.pyannote[505].start 4732.06784375
transcript.pyannote[505].end 4732.55721875
transcript.pyannote[506].speaker SPEAKER_39
transcript.pyannote[506].start 4744.42034375
transcript.pyannote[506].end 4744.97721875
transcript.pyannote[507].speaker SPEAKER_04
transcript.pyannote[507].start 4752.30096875
transcript.pyannote[507].end 4752.84096875
transcript.pyannote[508].speaker SPEAKER_30
transcript.pyannote[508].start 4753.63409375
transcript.pyannote[508].end 4756.92471875
transcript.pyannote[509].speaker SPEAKER_04
transcript.pyannote[509].start 4756.53659375
transcript.pyannote[509].end 4760.33346875
transcript.pyannote[510].speaker SPEAKER_04
transcript.pyannote[510].start 4760.60346875
transcript.pyannote[510].end 4770.88034375
transcript.pyannote[511].speaker SPEAKER_30
transcript.pyannote[511].start 4767.08346875
transcript.pyannote[511].end 4767.58971875
transcript.pyannote[512].speaker SPEAKER_30
transcript.pyannote[512].start 4768.70346875
transcript.pyannote[512].end 4769.41221875
transcript.pyannote[513].speaker SPEAKER_30
transcript.pyannote[513].start 4770.32346875
transcript.pyannote[513].end 4773.83346875
transcript.pyannote[514].speaker SPEAKER_30
transcript.pyannote[514].start 4774.17096875
transcript.pyannote[514].end 4774.96409375
transcript.pyannote[515].speaker SPEAKER_30
transcript.pyannote[515].start 4775.52096875
transcript.pyannote[515].end 4784.21159375
transcript.pyannote[516].speaker SPEAKER_30
transcript.pyannote[516].start 4784.61659375
transcript.pyannote[516].end 4787.50221875
transcript.pyannote[517].speaker SPEAKER_30
transcript.pyannote[517].start 4787.83971875
transcript.pyannote[517].end 4794.04971875
transcript.pyannote[518].speaker SPEAKER_30
transcript.pyannote[518].start 4794.11721875
transcript.pyannote[518].end 4794.13409375
transcript.pyannote[519].speaker SPEAKER_08
transcript.pyannote[519].start 4794.13409375
transcript.pyannote[519].end 4794.58971875
transcript.pyannote[520].speaker SPEAKER_30
transcript.pyannote[520].start 4794.69096875
transcript.pyannote[520].end 4798.26846875
transcript.pyannote[521].speaker SPEAKER_30
transcript.pyannote[521].start 4798.67346875
transcript.pyannote[521].end 4800.63096875
transcript.pyannote[522].speaker SPEAKER_30
transcript.pyannote[522].start 4801.25534375
transcript.pyannote[522].end 4802.11596875
transcript.pyannote[523].speaker SPEAKER_30
transcript.pyannote[523].start 4802.47034375
transcript.pyannote[523].end 4802.53784375
transcript.pyannote[524].speaker SPEAKER_39
transcript.pyannote[524].start 4802.53784375
transcript.pyannote[524].end 4803.48284375
transcript.pyannote[525].speaker SPEAKER_30
transcript.pyannote[525].start 4802.57159375
transcript.pyannote[525].end 4813.82721875
transcript.pyannote[526].speaker SPEAKER_39
transcript.pyannote[526].start 4810.11471875
transcript.pyannote[526].end 4810.50284375
transcript.pyannote[527].speaker SPEAKER_04
transcript.pyannote[527].start 4810.50284375
transcript.pyannote[527].end 4810.53659375
transcript.pyannote[528].speaker SPEAKER_00
transcript.pyannote[528].start 4810.53659375
transcript.pyannote[528].end 4810.55346875
transcript.pyannote[529].speaker SPEAKER_39
transcript.pyannote[529].start 4811.71784375
transcript.pyannote[529].end 4811.73471875
transcript.pyannote[530].speaker SPEAKER_04
transcript.pyannote[530].start 4811.73471875
transcript.pyannote[530].end 4812.20721875
transcript.pyannote[531].speaker SPEAKER_30
transcript.pyannote[531].start 4814.63721875
transcript.pyannote[531].end 4818.28221875
transcript.pyannote[532].speaker SPEAKER_30
transcript.pyannote[532].start 4818.50159375
transcript.pyannote[532].end 4819.41284375
transcript.pyannote[533].speaker SPEAKER_04
transcript.pyannote[533].start 4818.99096875
transcript.pyannote[533].end 4819.95284375
transcript.pyannote[534].speaker SPEAKER_30
transcript.pyannote[534].start 4820.35784375
transcript.pyannote[534].end 4824.28971875
transcript.pyannote[535].speaker SPEAKER_30
transcript.pyannote[535].start 4824.32346875
transcript.pyannote[535].end 4825.84221875
transcript.pyannote[536].speaker SPEAKER_04
transcript.pyannote[536].start 4825.16721875
transcript.pyannote[536].end 4825.58909375
transcript.pyannote[537].speaker SPEAKER_30
transcript.pyannote[537].start 4825.97721875
transcript.pyannote[537].end 4829.79096875
transcript.pyannote[538].speaker SPEAKER_30
transcript.pyannote[538].start 4830.01034375
transcript.pyannote[538].end 4832.13659375
transcript.pyannote[539].speaker SPEAKER_30
transcript.pyannote[539].start 4832.40659375
transcript.pyannote[539].end 4833.57096875
transcript.pyannote[540].speaker SPEAKER_30
transcript.pyannote[540].start 4834.43159375
transcript.pyannote[540].end 4836.22034375
transcript.pyannote[541].speaker SPEAKER_29
transcript.pyannote[541].start 4834.46534375
transcript.pyannote[541].end 4834.90409375
transcript.pyannote[542].speaker SPEAKER_30
transcript.pyannote[542].start 4836.59159375
transcript.pyannote[542].end 4838.04284375
transcript.pyannote[543].speaker SPEAKER_30
transcript.pyannote[543].start 4838.29596875
transcript.pyannote[543].end 4843.34159375
transcript.pyannote[544].speaker SPEAKER_30
transcript.pyannote[544].start 4844.06721875
transcript.pyannote[544].end 4845.02909375
transcript.pyannote[545].speaker SPEAKER_30
transcript.pyannote[545].start 4845.33284375
transcript.pyannote[545].end 4846.98659375
transcript.pyannote[546].speaker SPEAKER_30
transcript.pyannote[546].start 4847.61096875
transcript.pyannote[546].end 4849.21409375
transcript.pyannote[547].speaker SPEAKER_30
transcript.pyannote[547].start 4849.88909375
transcript.pyannote[547].end 4852.31909375
transcript.pyannote[548].speaker SPEAKER_30
transcript.pyannote[548].start 4852.84221875
transcript.pyannote[548].end 4854.04034375
transcript.pyannote[549].speaker SPEAKER_30
transcript.pyannote[549].start 4854.58034375
transcript.pyannote[549].end 4856.52096875
transcript.pyannote[550].speaker SPEAKER_30
transcript.pyannote[550].start 4857.17909375
transcript.pyannote[550].end 4858.46159375
transcript.pyannote[551].speaker SPEAKER_30
transcript.pyannote[551].start 4858.90034375
transcript.pyannote[551].end 4859.92971875
transcript.pyannote[552].speaker SPEAKER_30
transcript.pyannote[552].start 4860.60471875
transcript.pyannote[552].end 4865.11034375
transcript.pyannote[553].speaker SPEAKER_30
transcript.pyannote[553].start 4865.39721875
transcript.pyannote[553].end 4867.15221875
transcript.pyannote[554].speaker SPEAKER_30
transcript.pyannote[554].start 4867.65846875
transcript.pyannote[554].end 4868.24909375
transcript.pyannote[555].speaker SPEAKER_30
transcript.pyannote[555].start 4868.94096875
transcript.pyannote[555].end 4869.76784375
transcript.pyannote[556].speaker SPEAKER_30
transcript.pyannote[556].start 4870.15596875
transcript.pyannote[556].end 4871.01659375
transcript.pyannote[557].speaker SPEAKER_30
transcript.pyannote[557].start 4873.17659375
transcript.pyannote[557].end 4875.94409375
transcript.pyannote[558].speaker SPEAKER_30
transcript.pyannote[558].start 4876.28159375
transcript.pyannote[558].end 4877.64846875
transcript.pyannote[559].speaker SPEAKER_30
transcript.pyannote[559].start 4878.05346875
transcript.pyannote[559].end 4879.35284375
transcript.pyannote[560].speaker SPEAKER_30
transcript.pyannote[560].start 4880.31471875
transcript.pyannote[560].end 4891.62096875
transcript.pyannote[561].speaker SPEAKER_30
transcript.pyannote[561].start 4891.82346875
transcript.pyannote[561].end 4892.39721875
transcript.pyannote[562].speaker SPEAKER_30
transcript.pyannote[562].start 4893.17346875
transcript.pyannote[562].end 4904.71596875
transcript.pyannote[563].speaker SPEAKER_08
transcript.pyannote[563].start 4904.63159375
transcript.pyannote[563].end 4904.95221875
transcript.pyannote[564].speaker SPEAKER_30
transcript.pyannote[564].start 4904.95221875
transcript.pyannote[564].end 4908.05721875
transcript.pyannote[565].speaker SPEAKER_30
transcript.pyannote[565].start 4908.61409375
transcript.pyannote[565].end 4911.31409375
transcript.pyannote[566].speaker SPEAKER_30
transcript.pyannote[566].start 4911.82034375
transcript.pyannote[566].end 4922.68784375
transcript.pyannote[567].speaker SPEAKER_30
transcript.pyannote[567].start 4923.39659375
transcript.pyannote[567].end 4927.26096875
transcript.pyannote[568].speaker SPEAKER_30
transcript.pyannote[568].start 4927.96971875
transcript.pyannote[568].end 4941.72284375
transcript.pyannote[569].speaker SPEAKER_30
transcript.pyannote[569].start 4942.00971875
transcript.pyannote[569].end 4943.30909375
transcript.pyannote[570].speaker SPEAKER_30
transcript.pyannote[570].start 4943.73096875
transcript.pyannote[570].end 4951.17284375
transcript.pyannote[571].speaker SPEAKER_30
transcript.pyannote[571].start 4951.47659375
transcript.pyannote[571].end 4972.06409375
transcript.pyannote[572].speaker SPEAKER_08
transcript.pyannote[572].start 4953.56909375
transcript.pyannote[572].end 4954.00784375
transcript.pyannote[573].speaker SPEAKER_08
transcript.pyannote[573].start 4961.92221875
transcript.pyannote[573].end 4961.95596875
transcript.pyannote[574].speaker SPEAKER_39
transcript.pyannote[574].start 4961.95596875
transcript.pyannote[574].end 4962.39471875
transcript.pyannote[575].speaker SPEAKER_04
transcript.pyannote[575].start 4971.03471875
transcript.pyannote[575].end 4971.32159375
transcript.pyannote[576].speaker SPEAKER_04
transcript.pyannote[576].start 4972.50284375
transcript.pyannote[576].end 4977.80159375
transcript.pyannote[577].speaker SPEAKER_04
transcript.pyannote[577].start 4978.05471875
transcript.pyannote[577].end 4984.39971875
transcript.pyannote[578].speaker SPEAKER_04
transcript.pyannote[578].start 4984.43346875
transcript.pyannote[578].end 4991.31846875
transcript.pyannote[579].speaker SPEAKER_30
transcript.pyannote[579].start 4990.57596875
transcript.pyannote[579].end 4995.94221875
transcript.pyannote[580].speaker SPEAKER_04
transcript.pyannote[580].start 4992.48284375
transcript.pyannote[580].end 4992.92159375
transcript.pyannote[581].speaker SPEAKER_04
transcript.pyannote[581].start 4993.36034375
transcript.pyannote[581].end 5002.97909375
transcript.pyannote[582].speaker SPEAKER_30
transcript.pyannote[582].start 5002.69221875
transcript.pyannote[582].end 5005.10534375
transcript.pyannote[583].speaker SPEAKER_30
transcript.pyannote[583].start 5005.30784375
transcript.pyannote[583].end 5020.96784375
transcript.pyannote[584].speaker SPEAKER_04
transcript.pyannote[584].start 5008.19346875
transcript.pyannote[584].end 5008.22721875
transcript.pyannote[585].speaker SPEAKER_08
transcript.pyannote[585].start 5008.22721875
transcript.pyannote[585].end 5008.68284375
transcript.pyannote[586].speaker SPEAKER_04
transcript.pyannote[586].start 5020.54596875
transcript.pyannote[586].end 5027.38034375
transcript.pyannote[587].speaker SPEAKER_04
transcript.pyannote[587].start 5027.68409375
transcript.pyannote[587].end 5033.10096875
transcript.pyannote[588].speaker SPEAKER_30
transcript.pyannote[588].start 5033.82659375
transcript.pyannote[588].end 5039.53034375
transcript.pyannote[589].speaker SPEAKER_04
transcript.pyannote[589].start 5038.02846875
transcript.pyannote[589].end 5039.47971875
transcript.pyannote[590].speaker SPEAKER_29
transcript.pyannote[590].start 5039.47971875
transcript.pyannote[590].end 5039.49659375
transcript.pyannote[591].speaker SPEAKER_29
transcript.pyannote[591].start 5046.78659375
transcript.pyannote[591].end 5048.37284375
transcript.pyannote[592].speaker SPEAKER_16
transcript.pyannote[592].start 5077.49909375
transcript.pyannote[592].end 5079.00096875
transcript.pyannote[593].speaker SPEAKER_28
transcript.pyannote[593].start 5079.30471875
transcript.pyannote[593].end 5079.99659375
transcript.pyannote[594].speaker SPEAKER_16
transcript.pyannote[594].start 5086.81409375
transcript.pyannote[594].end 5087.82659375
transcript.pyannote[595].speaker SPEAKER_16
transcript.pyannote[595].start 5088.26534375
transcript.pyannote[595].end 5093.04096875
transcript.pyannote[596].speaker SPEAKER_16
transcript.pyannote[596].start 5093.66534375
transcript.pyannote[596].end 5094.54284375
transcript.pyannote[597].speaker SPEAKER_16
transcript.pyannote[597].start 5095.58909375
transcript.pyannote[597].end 5097.34409375
transcript.pyannote[598].speaker SPEAKER_16
transcript.pyannote[598].start 5097.37784375
transcript.pyannote[598].end 5098.33971875
transcript.pyannote[599].speaker SPEAKER_16
transcript.pyannote[599].start 5101.51221875
transcript.pyannote[599].end 5102.15346875
transcript.pyannote[600].speaker SPEAKER_16
transcript.pyannote[600].start 5102.71034375
transcript.pyannote[600].end 5104.75221875
transcript.pyannote[601].speaker SPEAKER_16
transcript.pyannote[601].start 5104.95471875
transcript.pyannote[601].end 5107.35096875
transcript.pyannote[602].speaker SPEAKER_04
transcript.pyannote[602].start 5108.53221875
transcript.pyannote[602].end 5120.76659375
transcript.pyannote[603].speaker SPEAKER_16
transcript.pyannote[603].start 5120.76659375
transcript.pyannote[603].end 5123.39909375
transcript.pyannote[604].speaker SPEAKER_16
transcript.pyannote[604].start 5123.90534375
transcript.pyannote[604].end 5124.93471875
transcript.pyannote[605].speaker SPEAKER_16
transcript.pyannote[605].start 5125.12034375
transcript.pyannote[605].end 5127.06096875
transcript.pyannote[606].speaker SPEAKER_16
transcript.pyannote[606].start 5127.61784375
transcript.pyannote[606].end 5129.28846875
transcript.pyannote[607].speaker SPEAKER_16
transcript.pyannote[607].start 5130.06471875
transcript.pyannote[607].end 5131.46534375
transcript.pyannote[608].speaker SPEAKER_16
transcript.pyannote[608].start 5132.14034375
transcript.pyannote[608].end 5133.45659375
transcript.pyannote[609].speaker SPEAKER_16
transcript.pyannote[609].start 5134.21596875
transcript.pyannote[609].end 5134.99221875
transcript.pyannote[610].speaker SPEAKER_16
transcript.pyannote[610].start 5136.96659375
transcript.pyannote[610].end 5138.92409375
transcript.pyannote[611].speaker SPEAKER_16
transcript.pyannote[611].start 5139.75096875
transcript.pyannote[611].end 5140.89846875
transcript.pyannote[612].speaker SPEAKER_16
transcript.pyannote[612].start 5142.33284375
transcript.pyannote[612].end 5146.21409375
transcript.pyannote[613].speaker SPEAKER_16
transcript.pyannote[613].start 5146.36596875
transcript.pyannote[613].end 5148.98159375
transcript.pyannote[614].speaker SPEAKER_16
transcript.pyannote[614].start 5150.16284375
transcript.pyannote[614].end 5154.80346875
transcript.pyannote[615].speaker SPEAKER_16
transcript.pyannote[615].start 5155.71471875
transcript.pyannote[615].end 5156.49096875
transcript.pyannote[616].speaker SPEAKER_16
transcript.pyannote[616].start 5157.01409375
transcript.pyannote[616].end 5160.74346875
transcript.pyannote[617].speaker SPEAKER_04
transcript.pyannote[617].start 5157.85784375
transcript.pyannote[617].end 5158.02659375
transcript.pyannote[618].speaker SPEAKER_16
transcript.pyannote[618].start 5162.11034375
transcript.pyannote[618].end 5162.98784375
transcript.pyannote[619].speaker SPEAKER_16
transcript.pyannote[619].start 5164.06784375
transcript.pyannote[619].end 5166.41346875
transcript.pyannote[620].speaker SPEAKER_16
transcript.pyannote[620].start 5168.86034375
transcript.pyannote[620].end 5169.65346875
transcript.pyannote[621].speaker SPEAKER_16
transcript.pyannote[621].start 5170.10909375
transcript.pyannote[621].end 5171.72909375
transcript.pyannote[622].speaker SPEAKER_16
transcript.pyannote[622].start 5172.50534375
transcript.pyannote[622].end 5173.72034375
transcript.pyannote[623].speaker SPEAKER_16
transcript.pyannote[623].start 5175.22221875
transcript.pyannote[623].end 5177.19659375
transcript.pyannote[624].speaker SPEAKER_16
transcript.pyannote[624].start 5177.46659375
transcript.pyannote[624].end 5179.10346875
transcript.pyannote[625].speaker SPEAKER_16
transcript.pyannote[625].start 5180.25096875
transcript.pyannote[625].end 5181.19596875
transcript.pyannote[626].speaker SPEAKER_16
transcript.pyannote[626].start 5183.00159375
transcript.pyannote[626].end 5183.81159375
transcript.pyannote[627].speaker SPEAKER_16
transcript.pyannote[627].start 5183.98034375
transcript.pyannote[627].end 5185.63409375
transcript.pyannote[628].speaker SPEAKER_16
transcript.pyannote[628].start 5186.62971875
transcript.pyannote[628].end 5188.13159375
transcript.pyannote[629].speaker SPEAKER_16
transcript.pyannote[629].start 5189.58284375
transcript.pyannote[629].end 5192.40096875
transcript.pyannote[630].speaker SPEAKER_16
transcript.pyannote[630].start 5192.73846875
transcript.pyannote[630].end 5193.51471875
transcript.pyannote[631].speaker SPEAKER_16
transcript.pyannote[631].start 5195.91096875
transcript.pyannote[631].end 5197.31159375
transcript.pyannote[632].speaker SPEAKER_16
transcript.pyannote[632].start 5197.78409375
transcript.pyannote[632].end 5199.57284375
transcript.pyannote[633].speaker SPEAKER_16
transcript.pyannote[633].start 5200.12971875
transcript.pyannote[633].end 5204.16284375
transcript.pyannote[634].speaker SPEAKER_16
transcript.pyannote[634].start 5205.44534375
transcript.pyannote[634].end 5207.53784375
transcript.pyannote[635].speaker SPEAKER_16
transcript.pyannote[635].start 5207.72346875
transcript.pyannote[635].end 5209.12409375
transcript.pyannote[636].speaker SPEAKER_16
transcript.pyannote[636].start 5209.41096875
transcript.pyannote[636].end 5209.98471875
transcript.pyannote[637].speaker SPEAKER_16
transcript.pyannote[637].start 5210.60909375
transcript.pyannote[637].end 5212.21221875
transcript.pyannote[638].speaker SPEAKER_16
transcript.pyannote[638].start 5213.29221875
transcript.pyannote[638].end 5216.51534375
transcript.pyannote[639].speaker SPEAKER_39
transcript.pyannote[639].start 5213.35971875
transcript.pyannote[639].end 5213.96721875
transcript.pyannote[640].speaker SPEAKER_16
transcript.pyannote[640].start 5216.83596875
transcript.pyannote[640].end 5217.54471875
transcript.pyannote[641].speaker SPEAKER_16
transcript.pyannote[641].start 5218.32096875
transcript.pyannote[641].end 5219.75534375
transcript.pyannote[642].speaker SPEAKER_16
transcript.pyannote[642].start 5220.51471875
transcript.pyannote[642].end 5221.52721875
transcript.pyannote[643].speaker SPEAKER_16
transcript.pyannote[643].start 5221.99971875
transcript.pyannote[643].end 5222.37096875
transcript.pyannote[644].speaker SPEAKER_16
transcript.pyannote[644].start 5223.50159375
transcript.pyannote[644].end 5224.96971875
transcript.pyannote[645].speaker SPEAKER_16
transcript.pyannote[645].start 5225.69534375
transcript.pyannote[645].end 5226.87659375
transcript.pyannote[646].speaker SPEAKER_16
transcript.pyannote[646].start 5227.78784375
transcript.pyannote[646].end 5229.10409375
transcript.pyannote[647].speaker SPEAKER_04
transcript.pyannote[647].start 5229.10409375
transcript.pyannote[647].end 5229.35721875
transcript.pyannote[648].speaker SPEAKER_04
transcript.pyannote[648].start 5229.64409375
transcript.pyannote[648].end 5232.15846875
transcript.pyannote[649].speaker SPEAKER_04
transcript.pyannote[649].start 5232.66471875
transcript.pyannote[649].end 5238.92534375
transcript.pyannote[650].speaker SPEAKER_16
transcript.pyannote[650].start 5237.28846875
transcript.pyannote[650].end 5238.85784375
transcript.pyannote[651].speaker SPEAKER_16
transcript.pyannote[651].start 5239.41471875
transcript.pyannote[651].end 5244.27471875
transcript.pyannote[652].speaker SPEAKER_16
transcript.pyannote[652].start 5244.86534375
transcript.pyannote[652].end 5251.32846875
transcript.pyannote[653].speaker SPEAKER_16
transcript.pyannote[653].start 5251.78409375
transcript.pyannote[653].end 5254.53471875
transcript.pyannote[654].speaker SPEAKER_16
transcript.pyannote[654].start 5255.41221875
transcript.pyannote[654].end 5256.57659375
transcript.pyannote[655].speaker SPEAKER_16
transcript.pyannote[655].start 5257.69034375
transcript.pyannote[655].end 5258.34846875
transcript.pyannote[656].speaker SPEAKER_16
transcript.pyannote[656].start 5259.98534375
transcript.pyannote[656].end 5261.85846875
transcript.pyannote[657].speaker SPEAKER_16
transcript.pyannote[657].start 5262.71909375
transcript.pyannote[657].end 5264.40659375
transcript.pyannote[658].speaker SPEAKER_16
transcript.pyannote[658].start 5264.96346875
transcript.pyannote[658].end 5268.42284375
transcript.pyannote[659].speaker SPEAKER_16
transcript.pyannote[659].start 5269.14846875
transcript.pyannote[659].end 5271.30846875
transcript.pyannote[660].speaker SPEAKER_16
transcript.pyannote[660].start 5271.74721875
transcript.pyannote[660].end 5274.71721875
transcript.pyannote[661].speaker SPEAKER_16
transcript.pyannote[661].start 5274.98721875
transcript.pyannote[661].end 5275.94909375
transcript.pyannote[662].speaker SPEAKER_16
transcript.pyannote[662].start 5277.13034375
transcript.pyannote[662].end 5278.61534375
transcript.pyannote[663].speaker SPEAKER_16
transcript.pyannote[663].start 5279.42534375
transcript.pyannote[663].end 5280.97784375
transcript.pyannote[664].speaker SPEAKER_16
transcript.pyannote[664].start 5281.73721875
transcript.pyannote[664].end 5282.51346875
transcript.pyannote[665].speaker SPEAKER_16
transcript.pyannote[665].start 5283.39096875
transcript.pyannote[665].end 5287.71096875
transcript.pyannote[666].speaker SPEAKER_16
transcript.pyannote[666].start 5288.41971875
transcript.pyannote[666].end 5293.53284375
transcript.pyannote[667].speaker SPEAKER_04
transcript.pyannote[667].start 5290.39409375
transcript.pyannote[667].end 5293.66784375
transcript.pyannote[668].speaker SPEAKER_16
transcript.pyannote[668].start 5293.66784375
transcript.pyannote[668].end 5295.81096875
transcript.pyannote[669].speaker SPEAKER_04
transcript.pyannote[669].start 5295.45659375
transcript.pyannote[669].end 5299.82721875
transcript.pyannote[670].speaker SPEAKER_04
transcript.pyannote[670].start 5300.02971875
transcript.pyannote[670].end 5302.54409375
transcript.pyannote[671].speaker SPEAKER_05
transcript.pyannote[671].start 5302.54409375
transcript.pyannote[671].end 5302.57784375
transcript.pyannote[672].speaker SPEAKER_04
transcript.pyannote[672].start 5302.57784375
transcript.pyannote[672].end 5303.62409375
transcript.pyannote[673].speaker SPEAKER_05
transcript.pyannote[673].start 5303.62409375
transcript.pyannote[673].end 5303.64096875
transcript.pyannote[674].speaker SPEAKER_16
transcript.pyannote[674].start 5304.11346875
transcript.pyannote[674].end 5309.05784375
transcript.pyannote[675].speaker SPEAKER_05
transcript.pyannote[675].start 5306.52659375
transcript.pyannote[675].end 5307.31971875
transcript.pyannote[676].speaker SPEAKER_16
transcript.pyannote[676].start 5309.46284375
transcript.pyannote[676].end 5312.11221875
transcript.pyannote[677].speaker SPEAKER_16
transcript.pyannote[677].start 5312.83784375
transcript.pyannote[677].end 5319.11534375
transcript.pyannote[678].speaker SPEAKER_05
transcript.pyannote[678].start 5315.41971875
transcript.pyannote[678].end 5316.71909375
transcript.pyannote[679].speaker SPEAKER_16
transcript.pyannote[679].start 5319.68909375
transcript.pyannote[679].end 5323.75596875
transcript.pyannote[680].speaker SPEAKER_05
transcript.pyannote[680].start 5321.62971875
transcript.pyannote[680].end 5328.90284375
transcript.pyannote[681].speaker SPEAKER_16
transcript.pyannote[681].start 5327.89034375
transcript.pyannote[681].end 5328.86909375
transcript.pyannote[682].speaker SPEAKER_05
transcript.pyannote[682].start 5329.18971875
transcript.pyannote[682].end 5330.20221875
transcript.pyannote[683].speaker SPEAKER_16
transcript.pyannote[683].start 5329.25721875
transcript.pyannote[683].end 5330.18534375
transcript.pyannote[684].speaker SPEAKER_16
transcript.pyannote[684].start 5330.20221875
transcript.pyannote[684].end 5330.26971875
transcript.pyannote[685].speaker SPEAKER_16
transcript.pyannote[685].start 5331.67034375
transcript.pyannote[685].end 5334.65721875
transcript.pyannote[686].speaker SPEAKER_04
transcript.pyannote[686].start 5333.84721875
transcript.pyannote[686].end 5341.28909375
transcript.pyannote[687].speaker SPEAKER_16
transcript.pyannote[687].start 5341.28909375
transcript.pyannote[687].end 5341.54221875
transcript.pyannote[688].speaker SPEAKER_04
transcript.pyannote[688].start 5341.54221875
transcript.pyannote[688].end 5344.86659375
transcript.pyannote[689].speaker SPEAKER_16
transcript.pyannote[689].start 5344.10721875
transcript.pyannote[689].end 5345.81159375
transcript.pyannote[690].speaker SPEAKER_04
transcript.pyannote[690].start 5345.81159375
transcript.pyannote[690].end 5354.43471875
transcript.pyannote[691].speaker SPEAKER_16
transcript.pyannote[691].start 5346.01409375
transcript.pyannote[691].end 5346.38534375
transcript.pyannote[692].speaker SPEAKER_16
transcript.pyannote[692].start 5348.71409375
transcript.pyannote[692].end 5349.70971875
transcript.pyannote[693].speaker SPEAKER_16
transcript.pyannote[693].start 5352.76409375
transcript.pyannote[693].end 5356.24034375
transcript.pyannote[694].speaker SPEAKER_16
transcript.pyannote[694].start 5356.64534375
transcript.pyannote[694].end 5358.31596875
transcript.pyannote[695].speaker SPEAKER_16
transcript.pyannote[695].start 5358.78846875
transcript.pyannote[695].end 5361.99471875
transcript.pyannote[696].speaker SPEAKER_16
transcript.pyannote[696].start 5362.48409375
transcript.pyannote[696].end 5363.17596875
transcript.pyannote[697].speaker SPEAKER_16
transcript.pyannote[697].start 5364.25596875
transcript.pyannote[697].end 5366.06159375
transcript.pyannote[698].speaker SPEAKER_16
transcript.pyannote[698].start 5366.50034375
transcript.pyannote[698].end 5367.46221875
transcript.pyannote[699].speaker SPEAKER_16
transcript.pyannote[699].start 5368.08659375
transcript.pyannote[699].end 5368.91346875
transcript.pyannote[700].speaker SPEAKER_16
transcript.pyannote[700].start 5369.36909375
transcript.pyannote[700].end 5372.59221875
transcript.pyannote[701].speaker SPEAKER_04
transcript.pyannote[701].start 5370.01034375
transcript.pyannote[701].end 5370.12846875
transcript.pyannote[702].speaker SPEAKER_16
transcript.pyannote[702].start 5373.52034375
transcript.pyannote[702].end 5374.73534375
transcript.pyannote[703].speaker SPEAKER_16
transcript.pyannote[703].start 5375.76471875
transcript.pyannote[703].end 5378.44784375
transcript.pyannote[704].speaker SPEAKER_16
transcript.pyannote[704].start 5378.66721875
transcript.pyannote[704].end 5380.35471875
transcript.pyannote[705].speaker SPEAKER_16
transcript.pyannote[705].start 5380.97909375
transcript.pyannote[705].end 5383.74659375
transcript.pyannote[706].speaker SPEAKER_16
transcript.pyannote[706].start 5384.37096875
transcript.pyannote[706].end 5387.30721875
transcript.pyannote[707].speaker SPEAKER_16
transcript.pyannote[707].start 5387.81346875
transcript.pyannote[707].end 5389.97346875
transcript.pyannote[708].speaker SPEAKER_16
transcript.pyannote[708].start 5390.09159375
transcript.pyannote[708].end 5390.68221875
transcript.pyannote[709].speaker SPEAKER_16
transcript.pyannote[709].start 5390.85096875
transcript.pyannote[709].end 5392.38659375
transcript.pyannote[710].speaker SPEAKER_16
transcript.pyannote[710].start 5393.55096875
transcript.pyannote[710].end 5394.44534375
transcript.pyannote[711].speaker SPEAKER_16
transcript.pyannote[711].start 5395.17096875
transcript.pyannote[711].end 5397.92159375
transcript.pyannote[712].speaker SPEAKER_16
transcript.pyannote[712].start 5398.44471875
transcript.pyannote[712].end 5400.30096875
transcript.pyannote[713].speaker SPEAKER_16
transcript.pyannote[713].start 5400.87471875
transcript.pyannote[713].end 5401.38096875
transcript.pyannote[714].speaker SPEAKER_16
transcript.pyannote[714].start 5401.81971875
transcript.pyannote[714].end 5402.39346875
transcript.pyannote[715].speaker SPEAKER_16
transcript.pyannote[715].start 5402.98409375
transcript.pyannote[715].end 5405.19471875
transcript.pyannote[716].speaker SPEAKER_16
transcript.pyannote[716].start 5405.65034375
transcript.pyannote[716].end 5408.65409375
transcript.pyannote[717].speaker SPEAKER_16
transcript.pyannote[717].start 5409.09284375
transcript.pyannote[717].end 5409.63284375
transcript.pyannote[718].speaker SPEAKER_16
transcript.pyannote[718].start 5411.06721875
transcript.pyannote[718].end 5412.01221875
transcript.pyannote[719].speaker SPEAKER_16
transcript.pyannote[719].start 5412.70409375
transcript.pyannote[719].end 5415.58971875
transcript.pyannote[720].speaker SPEAKER_16
transcript.pyannote[720].start 5415.84284375
transcript.pyannote[720].end 5417.61471875
transcript.pyannote[721].speaker SPEAKER_16
transcript.pyannote[721].start 5418.96471875
transcript.pyannote[721].end 5420.11221875
transcript.pyannote[722].speaker SPEAKER_16
transcript.pyannote[722].start 5421.25971875
transcript.pyannote[722].end 5422.71096875
transcript.pyannote[723].speaker SPEAKER_16
transcript.pyannote[723].start 5423.11596875
transcript.pyannote[723].end 5424.88784375
transcript.pyannote[724].speaker SPEAKER_16
transcript.pyannote[724].start 5425.29284375
transcript.pyannote[724].end 5425.91721875
transcript.pyannote[725].speaker SPEAKER_16
transcript.pyannote[725].start 5426.27159375
transcript.pyannote[725].end 5427.68909375
transcript.pyannote[726].speaker SPEAKER_16
transcript.pyannote[726].start 5428.88721875
transcript.pyannote[726].end 5431.30034375
transcript.pyannote[727].speaker SPEAKER_16
transcript.pyannote[727].start 5431.84034375
transcript.pyannote[727].end 5433.67971875
transcript.pyannote[728].speaker SPEAKER_16
transcript.pyannote[728].start 5435.65409375
transcript.pyannote[728].end 5435.99159375
transcript.pyannote[729].speaker SPEAKER_16
transcript.pyannote[729].start 5436.68346875
transcript.pyannote[729].end 5437.94909375
transcript.pyannote[730].speaker SPEAKER_16
transcript.pyannote[730].start 5438.08409375
transcript.pyannote[730].end 5439.53534375
transcript.pyannote[731].speaker SPEAKER_16
transcript.pyannote[731].start 5440.85159375
transcript.pyannote[731].end 5442.42096875
transcript.pyannote[732].speaker SPEAKER_16
transcript.pyannote[732].start 5443.41659375
transcript.pyannote[732].end 5444.36159375
transcript.pyannote[733].speaker SPEAKER_16
transcript.pyannote[733].start 5445.07034375
transcript.pyannote[733].end 5446.15034375
transcript.pyannote[734].speaker SPEAKER_16
transcript.pyannote[734].start 5446.57221875
transcript.pyannote[734].end 5447.78721875
transcript.pyannote[735].speaker SPEAKER_16
transcript.pyannote[735].start 5449.22159375
transcript.pyannote[735].end 5450.20034375
transcript.pyannote[736].speaker SPEAKER_16
transcript.pyannote[736].start 5450.82471875
transcript.pyannote[736].end 5452.30971875
transcript.pyannote[737].speaker SPEAKER_16
transcript.pyannote[737].start 5452.83284375
transcript.pyannote[737].end 5454.75659375
transcript.pyannote[738].speaker SPEAKER_16
transcript.pyannote[738].start 5454.84096875
transcript.pyannote[738].end 5457.54096875
transcript.pyannote[739].speaker SPEAKER_16
transcript.pyannote[739].start 5458.24971875
transcript.pyannote[739].end 5459.71784375
transcript.pyannote[740].speaker SPEAKER_16
transcript.pyannote[740].start 5459.80221875
transcript.pyannote[740].end 5461.92846875
transcript.pyannote[741].speaker SPEAKER_16
transcript.pyannote[741].start 5462.48534375
transcript.pyannote[741].end 5464.54409375
transcript.pyannote[742].speaker SPEAKER_16
transcript.pyannote[742].start 5464.89846875
transcript.pyannote[742].end 5467.22721875
transcript.pyannote[743].speaker SPEAKER_04
transcript.pyannote[743].start 5468.93159375
transcript.pyannote[743].end 5473.01534375
transcript.pyannote[744].speaker SPEAKER_16
transcript.pyannote[744].start 5472.39096875
transcript.pyannote[744].end 5472.96471875
transcript.pyannote[745].speaker SPEAKER_16
transcript.pyannote[745].start 5473.35284375
transcript.pyannote[745].end 5473.50471875
transcript.pyannote[746].speaker SPEAKER_05
transcript.pyannote[746].start 5473.50471875
transcript.pyannote[746].end 5474.02784375
transcript.pyannote[747].speaker SPEAKER_16
transcript.pyannote[747].start 5474.02784375
transcript.pyannote[747].end 5474.39909375
transcript.pyannote[748].speaker SPEAKER_05
transcript.pyannote[748].start 5474.39909375
transcript.pyannote[748].end 5474.41596875
transcript.pyannote[749].speaker SPEAKER_16
transcript.pyannote[749].start 5474.41596875
transcript.pyannote[749].end 5474.48346875
transcript.pyannote[750].speaker SPEAKER_05
transcript.pyannote[750].start 5474.48346875
transcript.pyannote[750].end 5474.55096875
transcript.pyannote[751].speaker SPEAKER_16
transcript.pyannote[751].start 5474.55096875
transcript.pyannote[751].end 5474.80409375
transcript.pyannote[752].speaker SPEAKER_05
transcript.pyannote[752].start 5474.80409375
transcript.pyannote[752].end 5474.82096875
transcript.pyannote[753].speaker SPEAKER_16
transcript.pyannote[753].start 5475.07409375
transcript.pyannote[753].end 5475.09096875
transcript.pyannote[754].speaker SPEAKER_05
transcript.pyannote[754].start 5475.09096875
transcript.pyannote[754].end 5480.03534375
transcript.pyannote[755].speaker SPEAKER_04
transcript.pyannote[755].start 5480.03534375
transcript.pyannote[755].end 5480.38971875
transcript.pyannote[756].speaker SPEAKER_05
transcript.pyannote[756].start 5480.13659375
transcript.pyannote[756].end 5480.27159375
transcript.pyannote[757].speaker SPEAKER_05
transcript.pyannote[757].start 5480.38971875
transcript.pyannote[757].end 5480.42346875
transcript.pyannote[758].speaker SPEAKER_41
transcript.pyannote[758].start 5480.42346875
transcript.pyannote[758].end 5480.47409375
transcript.pyannote[759].speaker SPEAKER_04
transcript.pyannote[759].start 5481.08159375
transcript.pyannote[759].end 5485.43534375
transcript.pyannote[760].speaker SPEAKER_40
transcript.pyannote[760].start 5485.43534375
transcript.pyannote[760].end 5485.68846875
transcript.pyannote[761].speaker SPEAKER_04
transcript.pyannote[761].start 5485.60409375
transcript.pyannote[761].end 5495.93159375
transcript.pyannote[762].speaker SPEAKER_41
transcript.pyannote[762].start 5485.68846875
transcript.pyannote[762].end 5485.70534375
transcript.pyannote[763].speaker SPEAKER_04
transcript.pyannote[763].start 5496.48846875
transcript.pyannote[763].end 5505.55034375
transcript.pyannote[764].speaker SPEAKER_16
transcript.pyannote[764].start 5503.94721875
transcript.pyannote[764].end 5509.46534375
transcript.pyannote[765].speaker SPEAKER_16
transcript.pyannote[765].start 5509.78596875
transcript.pyannote[765].end 5519.28659375
transcript.pyannote[766].speaker SPEAKER_04
transcript.pyannote[766].start 5510.95034375
transcript.pyannote[766].end 5511.13596875
transcript.pyannote[767].speaker SPEAKER_29
transcript.pyannote[767].start 5511.13596875
transcript.pyannote[767].end 5511.28784375
transcript.pyannote[768].speaker SPEAKER_04
transcript.pyannote[768].start 5511.28784375
transcript.pyannote[768].end 5511.69284375
transcript.pyannote[769].speaker SPEAKER_16
transcript.pyannote[769].start 5520.53534375
transcript.pyannote[769].end 5521.02471875
transcript.pyannote[770].speaker SPEAKER_04
transcript.pyannote[770].start 5521.02471875
transcript.pyannote[770].end 5524.45034375
transcript.pyannote[771].speaker SPEAKER_16
transcript.pyannote[771].start 5522.91471875
transcript.pyannote[771].end 5525.51346875
transcript.pyannote[772].speaker SPEAKER_04
transcript.pyannote[772].start 5524.99034375
transcript.pyannote[772].end 5525.93534375
transcript.pyannote[773].speaker SPEAKER_04
transcript.pyannote[773].start 5526.86346875
transcript.pyannote[773].end 5529.96846875
transcript.pyannote[774].speaker SPEAKER_05
transcript.pyannote[774].start 5529.96846875
transcript.pyannote[774].end 5531.87534375
transcript.pyannote[775].speaker SPEAKER_04
transcript.pyannote[775].start 5531.87534375
transcript.pyannote[775].end 5531.97659375
transcript.pyannote[776].speaker SPEAKER_05
transcript.pyannote[776].start 5531.97659375
transcript.pyannote[776].end 5532.02721875
transcript.pyannote[777].speaker SPEAKER_16
transcript.pyannote[777].start 5532.02721875
transcript.pyannote[777].end 5532.07784375
transcript.pyannote[778].speaker SPEAKER_05
transcript.pyannote[778].start 5532.07784375
transcript.pyannote[778].end 5532.19596875
transcript.pyannote[779].speaker SPEAKER_16
transcript.pyannote[779].start 5532.19596875
transcript.pyannote[779].end 5535.13221875
transcript.pyannote[780].speaker SPEAKER_16
transcript.pyannote[780].start 5535.35159375
transcript.pyannote[780].end 5536.75221875
transcript.pyannote[781].speaker SPEAKER_16
transcript.pyannote[781].start 5537.71409375
transcript.pyannote[781].end 5540.02596875
transcript.pyannote[782].speaker SPEAKER_05
transcript.pyannote[782].start 5540.02596875
transcript.pyannote[782].end 5540.29596875
transcript.pyannote[783].speaker SPEAKER_16
transcript.pyannote[783].start 5540.29596875
transcript.pyannote[783].end 5540.48159375
transcript.pyannote[784].speaker SPEAKER_05
transcript.pyannote[784].start 5540.48159375
transcript.pyannote[784].end 5540.68409375
transcript.pyannote[785].speaker SPEAKER_16
transcript.pyannote[785].start 5540.68409375
transcript.pyannote[785].end 5540.75159375
transcript.pyannote[786].speaker SPEAKER_05
transcript.pyannote[786].start 5540.75159375
transcript.pyannote[786].end 5542.13534375
transcript.pyannote[787].speaker SPEAKER_05
transcript.pyannote[787].start 5542.89471875
transcript.pyannote[787].end 5544.91971875
transcript.pyannote[788].speaker SPEAKER_16
transcript.pyannote[788].start 5543.65409375
transcript.pyannote[788].end 5550.11721875
transcript.pyannote[789].speaker SPEAKER_16
transcript.pyannote[789].start 5550.37034375
transcript.pyannote[789].end 5551.34909375
transcript.pyannote[790].speaker SPEAKER_16
transcript.pyannote[790].start 5551.85534375
transcript.pyannote[790].end 5554.23471875
transcript.pyannote[791].speaker SPEAKER_16
transcript.pyannote[791].start 5554.28534375
transcript.pyannote[791].end 5554.42034375
transcript.pyannote[792].speaker SPEAKER_05
transcript.pyannote[792].start 5554.42034375
transcript.pyannote[792].end 5554.52159375
transcript.pyannote[793].speaker SPEAKER_16
transcript.pyannote[793].start 5554.52159375
transcript.pyannote[793].end 5554.97721875
transcript.pyannote[794].speaker SPEAKER_05
transcript.pyannote[794].start 5554.97721875
transcript.pyannote[794].end 5556.86721875
transcript.pyannote[795].speaker SPEAKER_05
transcript.pyannote[795].start 5557.06971875
transcript.pyannote[795].end 5565.01784375
transcript.pyannote[796].speaker SPEAKER_16
transcript.pyannote[796].start 5563.87034375
transcript.pyannote[796].end 5572.12221875
transcript.pyannote[797].speaker SPEAKER_05
transcript.pyannote[797].start 5566.40159375
transcript.pyannote[797].end 5568.59534375
transcript.pyannote[798].speaker SPEAKER_20
transcript.pyannote[798].start 5568.59534375
transcript.pyannote[798].end 5568.64596875
transcript.pyannote[799].speaker SPEAKER_16
transcript.pyannote[799].start 5572.78034375
transcript.pyannote[799].end 5593.85721875
transcript.pyannote[800].speaker SPEAKER_20
transcript.pyannote[800].start 5572.84784375
transcript.pyannote[800].end 5573.03346875
transcript.pyannote[801].speaker SPEAKER_39
transcript.pyannote[801].start 5573.03346875
transcript.pyannote[801].end 5573.26971875
transcript.pyannote[802].speaker SPEAKER_04
transcript.pyannote[802].start 5573.26971875
transcript.pyannote[802].end 5576.39159375
transcript.pyannote[803].speaker SPEAKER_03
transcript.pyannote[803].start 5580.54284375
transcript.pyannote[803].end 5580.55971875
transcript.pyannote[804].speaker SPEAKER_04
transcript.pyannote[804].start 5580.55971875
transcript.pyannote[804].end 5582.58471875
transcript.pyannote[805].speaker SPEAKER_05
transcript.pyannote[805].start 5582.58471875
transcript.pyannote[805].end 5582.80409375
transcript.pyannote[806].speaker SPEAKER_04
transcript.pyannote[806].start 5582.80409375
transcript.pyannote[806].end 5582.87159375
transcript.pyannote[807].speaker SPEAKER_05
transcript.pyannote[807].start 5582.87159375
transcript.pyannote[807].end 5583.00659375
transcript.pyannote[808].speaker SPEAKER_03
transcript.pyannote[808].start 5583.00659375
transcript.pyannote[808].end 5583.02346875
transcript.pyannote[809].speaker SPEAKER_04
transcript.pyannote[809].start 5590.38096875
transcript.pyannote[809].end 5598.07596875
transcript.pyannote[810].speaker SPEAKER_16
transcript.pyannote[810].start 5598.07596875
transcript.pyannote[810].end 5607.66096875
transcript.pyannote[811].speaker SPEAKER_04
transcript.pyannote[811].start 5599.54409375
transcript.pyannote[811].end 5600.97846875
transcript.pyannote[812].speaker SPEAKER_05
transcript.pyannote[812].start 5600.97846875
transcript.pyannote[812].end 5603.96534375
transcript.pyannote[813].speaker SPEAKER_16
transcript.pyannote[813].start 5608.67346875
transcript.pyannote[813].end 5612.03159375
transcript.pyannote[814].speaker SPEAKER_16
transcript.pyannote[814].start 5612.25096875
transcript.pyannote[814].end 5614.20846875
transcript.pyannote[815].speaker SPEAKER_16
transcript.pyannote[815].start 5614.54596875
transcript.pyannote[815].end 5614.69784375
transcript.pyannote[816].speaker SPEAKER_16
transcript.pyannote[816].start 5615.67659375
transcript.pyannote[816].end 5622.15659375
transcript.pyannote[817].speaker SPEAKER_04
transcript.pyannote[817].start 5619.74346875
transcript.pyannote[817].end 5625.37971875
transcript.pyannote[818].speaker SPEAKER_16
transcript.pyannote[818].start 5623.81034375
transcript.pyannote[818].end 5625.41346875
transcript.pyannote[819].speaker SPEAKER_16
transcript.pyannote[819].start 5626.51034375
transcript.pyannote[819].end 5628.29909375
transcript.pyannote[820].speaker SPEAKER_16
transcript.pyannote[820].start 5629.44659375
transcript.pyannote[820].end 5631.97784375
transcript.pyannote[821].speaker SPEAKER_05
transcript.pyannote[821].start 5632.95659375
transcript.pyannote[821].end 5634.40784375
transcript.pyannote[822].speaker SPEAKER_16
transcript.pyannote[822].start 5633.02409375
transcript.pyannote[822].end 5635.55534375
transcript.pyannote[823].speaker SPEAKER_05
transcript.pyannote[823].start 5635.79159375
transcript.pyannote[823].end 5636.24721875
transcript.pyannote[824].speaker SPEAKER_16
transcript.pyannote[824].start 5636.41596875
transcript.pyannote[824].end 5636.78721875
transcript.pyannote[825].speaker SPEAKER_05
transcript.pyannote[825].start 5636.78721875
transcript.pyannote[825].end 5643.46971875
transcript.pyannote[826].speaker SPEAKER_16
transcript.pyannote[826].start 5636.90534375
transcript.pyannote[826].end 5637.68159375
transcript.pyannote[827].speaker SPEAKER_16
transcript.pyannote[827].start 5638.42409375
transcript.pyannote[827].end 5640.28034375
transcript.pyannote[828].speaker SPEAKER_16
transcript.pyannote[828].start 5640.92159375
transcript.pyannote[828].end 5643.03096875
transcript.pyannote[829].speaker SPEAKER_04
transcript.pyannote[829].start 5643.03096875
transcript.pyannote[829].end 5643.45284375
transcript.pyannote[830].speaker SPEAKER_05
transcript.pyannote[830].start 5644.27971875
transcript.pyannote[830].end 5652.02534375
transcript.pyannote[831].speaker SPEAKER_04
transcript.pyannote[831].start 5644.29659375
transcript.pyannote[831].end 5646.10221875
transcript.pyannote[832].speaker SPEAKER_04
transcript.pyannote[832].start 5648.75159375
transcript.pyannote[832].end 5649.03846875
transcript.pyannote[833].speaker SPEAKER_16
transcript.pyannote[833].start 5649.03846875
transcript.pyannote[833].end 5650.03409375
transcript.pyannote[834].speaker SPEAKER_05
transcript.pyannote[834].start 5653.62846875
transcript.pyannote[834].end 5653.64534375
transcript.pyannote[835].speaker SPEAKER_16
transcript.pyannote[835].start 5653.64534375
transcript.pyannote[835].end 5658.20159375
transcript.pyannote[836].speaker SPEAKER_16
transcript.pyannote[836].start 5659.24784375
transcript.pyannote[836].end 5661.57659375
transcript.pyannote[837].speaker SPEAKER_16
transcript.pyannote[837].start 5661.67784375
transcript.pyannote[837].end 5663.56784375
transcript.pyannote[838].speaker SPEAKER_16
transcript.pyannote[838].start 5664.20909375
transcript.pyannote[838].end 5665.82909375
transcript.pyannote[839].speaker SPEAKER_16
transcript.pyannote[839].start 5666.21721875
transcript.pyannote[839].end 5666.82471875
transcript.pyannote[840].speaker SPEAKER_16
transcript.pyannote[840].start 5667.60096875
transcript.pyannote[840].end 5670.25034375
transcript.pyannote[841].speaker SPEAKER_16
transcript.pyannote[841].start 5671.21221875
transcript.pyannote[841].end 5672.07284375
transcript.pyannote[842].speaker SPEAKER_16
transcript.pyannote[842].start 5673.54096875
transcript.pyannote[842].end 5674.43534375
transcript.pyannote[843].speaker SPEAKER_16
transcript.pyannote[843].start 5674.89096875
transcript.pyannote[843].end 5676.32534375
transcript.pyannote[844].speaker SPEAKER_16
transcript.pyannote[844].start 5677.97909375
transcript.pyannote[844].end 5680.37534375
transcript.pyannote[845].speaker SPEAKER_16
transcript.pyannote[845].start 5681.97846875
transcript.pyannote[845].end 5684.29034375
transcript.pyannote[846].speaker SPEAKER_04
transcript.pyannote[846].start 5684.77971875
transcript.pyannote[846].end 5687.34471875
transcript.pyannote[847].speaker SPEAKER_04
transcript.pyannote[847].start 5687.37846875
transcript.pyannote[847].end 5692.96409375
transcript.pyannote[848].speaker SPEAKER_05
transcript.pyannote[848].start 5692.96409375
transcript.pyannote[848].end 5696.25471875
transcript.pyannote[849].speaker SPEAKER_16
transcript.pyannote[849].start 5694.90471875
transcript.pyannote[849].end 5698.24596875
transcript.pyannote[850].speaker SPEAKER_16
transcript.pyannote[850].start 5698.48221875
transcript.pyannote[850].end 5705.60346875
transcript.pyannote[851].speaker SPEAKER_16
transcript.pyannote[851].start 5705.90721875
transcript.pyannote[851].end 5706.56534375
transcript.pyannote[852].speaker SPEAKER_16
transcript.pyannote[852].start 5706.97034375
transcript.pyannote[852].end 5708.55659375
transcript.pyannote[853].speaker SPEAKER_16
transcript.pyannote[853].start 5709.21471875
transcript.pyannote[853].end 5719.77846875
transcript.pyannote[854].speaker SPEAKER_04
transcript.pyannote[854].start 5715.52596875
transcript.pyannote[854].end 5719.12034375
transcript.pyannote[855].speaker SPEAKER_16
transcript.pyannote[855].start 5720.21721875
transcript.pyannote[855].end 5721.34784375
transcript.pyannote[856].speaker SPEAKER_16
transcript.pyannote[856].start 5722.32659375
transcript.pyannote[856].end 5728.95846875
transcript.pyannote[857].speaker SPEAKER_16
transcript.pyannote[857].start 5729.27909375
transcript.pyannote[857].end 5731.75971875
transcript.pyannote[858].speaker SPEAKER_16
transcript.pyannote[858].start 5732.35034375
transcript.pyannote[858].end 5733.91971875
transcript.pyannote[859].speaker SPEAKER_16
transcript.pyannote[859].start 5734.30784375
transcript.pyannote[859].end 5736.60284375
transcript.pyannote[860].speaker SPEAKER_16
transcript.pyannote[860].start 5737.26096875
transcript.pyannote[860].end 5737.80096875
transcript.pyannote[861].speaker SPEAKER_16
transcript.pyannote[861].start 5738.12159375
transcript.pyannote[861].end 5739.13409375
transcript.pyannote[862].speaker SPEAKER_16
transcript.pyannote[862].start 5740.58534375
transcript.pyannote[862].end 5744.68596875
transcript.pyannote[863].speaker SPEAKER_16
transcript.pyannote[863].start 5745.12471875
transcript.pyannote[863].end 5746.37346875
transcript.pyannote[864].speaker SPEAKER_16
transcript.pyannote[864].start 5746.62659375
transcript.pyannote[864].end 5750.01846875
transcript.pyannote[865].speaker SPEAKER_16
transcript.pyannote[865].start 5750.44034375
transcript.pyannote[865].end 5751.35159375
transcript.pyannote[866].speaker SPEAKER_16
transcript.pyannote[866].start 5752.43159375
transcript.pyannote[866].end 5754.72659375
transcript.pyannote[867].speaker SPEAKER_16
transcript.pyannote[867].start 5755.14846875
transcript.pyannote[867].end 5758.40534375
transcript.pyannote[868].speaker SPEAKER_16
transcript.pyannote[868].start 5758.92846875
transcript.pyannote[868].end 5760.21096875
transcript.pyannote[869].speaker SPEAKER_16
transcript.pyannote[869].start 5761.29096875
transcript.pyannote[869].end 5761.91534375
transcript.pyannote[870].speaker SPEAKER_16
transcript.pyannote[870].start 5763.24846875
transcript.pyannote[870].end 5763.90659375
transcript.pyannote[871].speaker SPEAKER_16
transcript.pyannote[871].start 5764.49721875
transcript.pyannote[871].end 5765.39159375
transcript.pyannote[872].speaker SPEAKER_16
transcript.pyannote[872].start 5766.11721875
transcript.pyannote[872].end 5767.63596875
transcript.pyannote[873].speaker SPEAKER_16
transcript.pyannote[873].start 5769.34034375
transcript.pyannote[873].end 5770.87596875
transcript.pyannote[874].speaker SPEAKER_16
transcript.pyannote[874].start 5771.19659375
transcript.pyannote[874].end 5772.51284375
transcript.pyannote[875].speaker SPEAKER_16
transcript.pyannote[875].start 5773.32284375
transcript.pyannote[875].end 5774.82471875
transcript.pyannote[876].speaker SPEAKER_16
transcript.pyannote[876].start 5775.24659375
transcript.pyannote[876].end 5777.15346875
transcript.pyannote[877].speaker SPEAKER_16
transcript.pyannote[877].start 5777.92971875
transcript.pyannote[877].end 5784.12284375
transcript.pyannote[878].speaker SPEAKER_05
transcript.pyannote[878].start 5781.50721875
transcript.pyannote[878].end 5782.53659375
transcript.pyannote[879].speaker SPEAKER_16
transcript.pyannote[879].start 5784.56159375
transcript.pyannote[879].end 5787.10971875
transcript.pyannote[880].speaker SPEAKER_16
transcript.pyannote[880].start 5788.27409375
transcript.pyannote[880].end 5791.93596875
transcript.pyannote[881].speaker SPEAKER_04
transcript.pyannote[881].start 5789.84346875
transcript.pyannote[881].end 5790.46784375
transcript.pyannote[882].speaker SPEAKER_04
transcript.pyannote[882].start 5790.67034375
transcript.pyannote[882].end 5791.07534375
transcript.pyannote[883].speaker SPEAKER_16
transcript.pyannote[883].start 5792.07096875
transcript.pyannote[883].end 5795.12534375
transcript.pyannote[884].speaker SPEAKER_16
transcript.pyannote[884].start 5796.15471875
transcript.pyannote[884].end 5797.13346875
transcript.pyannote[885].speaker SPEAKER_16
transcript.pyannote[885].start 5797.42034375
transcript.pyannote[885].end 5798.65221875
transcript.pyannote[886].speaker SPEAKER_16
transcript.pyannote[886].start 5799.37784375
transcript.pyannote[886].end 5804.33909375
transcript.pyannote[887].speaker SPEAKER_16
transcript.pyannote[887].start 5804.86221875
transcript.pyannote[887].end 5810.78534375
transcript.pyannote[888].speaker SPEAKER_05
transcript.pyannote[888].start 5804.89596875
transcript.pyannote[888].end 5805.03096875
transcript.pyannote[889].speaker SPEAKER_04
transcript.pyannote[889].start 5805.03096875
transcript.pyannote[889].end 5805.31784375
transcript.pyannote[890].speaker SPEAKER_05
transcript.pyannote[890].start 5805.31784375
transcript.pyannote[890].end 5806.00971875
transcript.pyannote[891].speaker SPEAKER_04
transcript.pyannote[891].start 5806.00971875
transcript.pyannote[891].end 5812.48971875
transcript.pyannote[892].speaker SPEAKER_04
transcript.pyannote[892].start 5813.75534375
transcript.pyannote[892].end 5815.40909375
transcript.pyannote[893].speaker SPEAKER_16
transcript.pyannote[893].start 5813.85659375
transcript.pyannote[893].end 5821.63596875
transcript.pyannote[894].speaker SPEAKER_16
transcript.pyannote[894].start 5821.88909375
transcript.pyannote[894].end 5823.96471875
transcript.pyannote[895].speaker SPEAKER_16
transcript.pyannote[895].start 5824.55534375
transcript.pyannote[895].end 5825.50034375
transcript.pyannote[896].speaker SPEAKER_16
transcript.pyannote[896].start 5826.07409375
transcript.pyannote[896].end 5827.12034375
transcript.pyannote[897].speaker SPEAKER_16
transcript.pyannote[897].start 5827.50846875
transcript.pyannote[897].end 5828.77409375
transcript.pyannote[898].speaker SPEAKER_16
transcript.pyannote[898].start 5828.84159375
transcript.pyannote[898].end 5832.52034375
transcript.pyannote[899].speaker SPEAKER_16
transcript.pyannote[899].start 5832.77346875
transcript.pyannote[899].end 5834.66346875
transcript.pyannote[900].speaker SPEAKER_16
transcript.pyannote[900].start 5835.82784375
transcript.pyannote[900].end 5838.93284375
transcript.pyannote[901].speaker SPEAKER_16
transcript.pyannote[901].start 5840.73846875
transcript.pyannote[901].end 5842.96596875
transcript.pyannote[902].speaker SPEAKER_04
transcript.pyannote[902].start 5842.96596875
transcript.pyannote[902].end 5843.11784375
transcript.pyannote[903].speaker SPEAKER_16
transcript.pyannote[903].start 5843.11784375
transcript.pyannote[903].end 5843.70846875
transcript.pyannote[904].speaker SPEAKER_04
transcript.pyannote[904].start 5843.70846875
transcript.pyannote[904].end 5847.72471875
transcript.pyannote[905].speaker SPEAKER_16
transcript.pyannote[905].start 5844.53534375
transcript.pyannote[905].end 5847.23534375
transcript.pyannote[906].speaker SPEAKER_16
transcript.pyannote[906].start 5847.74159375
transcript.pyannote[906].end 5849.74971875
transcript.pyannote[907].speaker SPEAKER_16
transcript.pyannote[907].start 5850.67784375
transcript.pyannote[907].end 5851.50471875
transcript.pyannote[908].speaker SPEAKER_16
transcript.pyannote[908].start 5852.85471875
transcript.pyannote[908].end 5854.87971875
transcript.pyannote[909].speaker SPEAKER_16
transcript.pyannote[909].start 5855.50409375
transcript.pyannote[909].end 5856.33096875
transcript.pyannote[910].speaker SPEAKER_16
transcript.pyannote[910].start 5857.39409375
transcript.pyannote[910].end 5859.01409375
transcript.pyannote[911].speaker SPEAKER_16
transcript.pyannote[911].start 5860.53284375
transcript.pyannote[911].end 5862.49034375
transcript.pyannote[912].speaker SPEAKER_04
transcript.pyannote[912].start 5864.09346875
transcript.pyannote[912].end 5867.67096875
transcript.pyannote[913].speaker SPEAKER_16
transcript.pyannote[913].start 5865.59534375
transcript.pyannote[913].end 5869.59471875
transcript.pyannote[914].speaker SPEAKER_16
transcript.pyannote[914].start 5870.52284375
transcript.pyannote[914].end 5875.18034375
transcript.pyannote[915].speaker SPEAKER_16
transcript.pyannote[915].start 5875.61909375
transcript.pyannote[915].end 5877.23909375
transcript.pyannote[916].speaker SPEAKER_16
transcript.pyannote[916].start 5878.23471875
transcript.pyannote[916].end 5881.00221875
transcript.pyannote[917].speaker SPEAKER_16
transcript.pyannote[917].start 5881.35659375
transcript.pyannote[917].end 5882.68971875
transcript.pyannote[918].speaker SPEAKER_16
transcript.pyannote[918].start 5883.43221875
transcript.pyannote[918].end 5888.49471875
transcript.pyannote[919].speaker SPEAKER_16
transcript.pyannote[919].start 5888.79846875
transcript.pyannote[919].end 5890.89096875
transcript.pyannote[920].speaker SPEAKER_16
transcript.pyannote[920].start 5891.36346875
transcript.pyannote[920].end 5893.11846875
transcript.pyannote[921].speaker SPEAKER_16
transcript.pyannote[921].start 5893.38846875
transcript.pyannote[921].end 5894.06346875
transcript.pyannote[922].speaker SPEAKER_16
transcript.pyannote[922].start 5895.36284375
transcript.pyannote[922].end 5897.53971875
transcript.pyannote[923].speaker SPEAKER_16
transcript.pyannote[923].start 5897.86034375
transcript.pyannote[923].end 5900.05409375
transcript.pyannote[924].speaker SPEAKER_16
transcript.pyannote[924].start 5900.42534375
transcript.pyannote[924].end 5904.10409375
transcript.pyannote[925].speaker SPEAKER_16
transcript.pyannote[925].start 5904.94784375
transcript.pyannote[925].end 5906.78721875
transcript.pyannote[926].speaker SPEAKER_16
transcript.pyannote[926].start 5907.00659375
transcript.pyannote[926].end 5908.22159375
transcript.pyannote[927].speaker SPEAKER_16
transcript.pyannote[927].start 5909.43659375
transcript.pyannote[927].end 5911.49534375
transcript.pyannote[928].speaker SPEAKER_16
transcript.pyannote[928].start 5913.80721875
transcript.pyannote[928].end 5914.83659375
transcript.pyannote[929].speaker SPEAKER_16
transcript.pyannote[929].start 5915.91659375
transcript.pyannote[929].end 5918.22846875
transcript.pyannote[930].speaker SPEAKER_04
transcript.pyannote[930].start 5918.22846875
transcript.pyannote[930].end 5918.24534375
transcript.pyannote[931].speaker SPEAKER_16
transcript.pyannote[931].start 5919.20721875
transcript.pyannote[931].end 5919.22409375
transcript.pyannote[932].speaker SPEAKER_04
transcript.pyannote[932].start 5919.22409375
transcript.pyannote[932].end 5920.96221875
transcript.pyannote[933].speaker SPEAKER_04
transcript.pyannote[933].start 5921.40096875
transcript.pyannote[933].end 5923.13909375
transcript.pyannote[934].speaker SPEAKER_04
transcript.pyannote[934].start 5923.42596875
transcript.pyannote[934].end 5925.68721875
transcript.pyannote[935].speaker SPEAKER_04
transcript.pyannote[935].start 5926.10909375
transcript.pyannote[935].end 5929.95659375
transcript.pyannote[936].speaker SPEAKER_04
transcript.pyannote[936].start 5930.39534375
transcript.pyannote[936].end 5944.26659375
transcript.pyannote[937].speaker SPEAKER_16
transcript.pyannote[937].start 5938.10721875
transcript.pyannote[937].end 5942.19096875
transcript.pyannote[938].speaker SPEAKER_16
transcript.pyannote[938].start 5942.76471875
transcript.pyannote[938].end 5943.52409375
transcript.pyannote[939].speaker SPEAKER_16
transcript.pyannote[939].start 5943.96284375
transcript.pyannote[939].end 5948.33346875
transcript.pyannote[940].speaker SPEAKER_04
transcript.pyannote[940].start 5945.81909375
transcript.pyannote[940].end 5951.87721875
transcript.pyannote[941].speaker SPEAKER_16
transcript.pyannote[941].start 5949.53159375
transcript.pyannote[941].end 5951.15159375
transcript.pyannote[942].speaker SPEAKER_16
transcript.pyannote[942].start 5951.87721875
transcript.pyannote[942].end 5955.37034375
transcript.pyannote[943].speaker SPEAKER_04
transcript.pyannote[943].start 5951.91096875
transcript.pyannote[943].end 5951.92784375
transcript.pyannote[944].speaker SPEAKER_16
transcript.pyannote[944].start 5956.48409375
transcript.pyannote[944].end 5958.00284375
transcript.pyannote[945].speaker SPEAKER_16
transcript.pyannote[945].start 5958.18846875
transcript.pyannote[945].end 5959.20096875
transcript.pyannote[946].speaker SPEAKER_16
transcript.pyannote[946].start 5960.07846875
transcript.pyannote[946].end 5961.44534375
transcript.pyannote[947].speaker SPEAKER_16
transcript.pyannote[947].start 5962.39034375
transcript.pyannote[947].end 5965.03971875
transcript.pyannote[948].speaker SPEAKER_16
transcript.pyannote[948].start 5966.49096875
transcript.pyannote[948].end 5967.60471875
transcript.pyannote[949].speaker SPEAKER_16
transcript.pyannote[949].start 5967.95909375
transcript.pyannote[949].end 5970.49034375
transcript.pyannote[950].speaker SPEAKER_16
transcript.pyannote[950].start 5970.94596875
transcript.pyannote[950].end 5973.49409375
transcript.pyannote[951].speaker SPEAKER_16
transcript.pyannote[951].start 5973.67971875
transcript.pyannote[951].end 5976.39659375
transcript.pyannote[952].speaker SPEAKER_16
transcript.pyannote[952].start 5977.07159375
transcript.pyannote[952].end 5979.45096875
transcript.pyannote[953].speaker SPEAKER_16
transcript.pyannote[953].start 5980.10909375
transcript.pyannote[953].end 5980.78409375
transcript.pyannote[954].speaker SPEAKER_16
transcript.pyannote[954].start 5982.11721875
transcript.pyannote[954].end 5983.68659375
transcript.pyannote[955].speaker SPEAKER_16
transcript.pyannote[955].start 5985.22221875
transcript.pyannote[955].end 5990.48721875
transcript.pyannote[956].speaker SPEAKER_16
transcript.pyannote[956].start 5991.80346875
transcript.pyannote[956].end 5998.87409375
transcript.pyannote[957].speaker SPEAKER_16
transcript.pyannote[957].start 5999.27909375
transcript.pyannote[957].end 6000.64596875
transcript.pyannote[958].speaker SPEAKER_40
transcript.pyannote[958].start 5999.32971875
transcript.pyannote[958].end 6000.56159375
transcript.pyannote[959].speaker SPEAKER_16
transcript.pyannote[959].start 6001.05096875
transcript.pyannote[959].end 6002.36721875
transcript.pyannote[960].speaker SPEAKER_16
transcript.pyannote[960].start 6003.21096875
transcript.pyannote[960].end 6005.15159375
transcript.pyannote[961].speaker SPEAKER_16
transcript.pyannote[961].start 6006.13034375
transcript.pyannote[961].end 6008.56034375
transcript.pyannote[962].speaker SPEAKER_04
transcript.pyannote[962].start 6008.83034375
transcript.pyannote[962].end 6014.07846875
transcript.pyannote[963].speaker SPEAKER_16
transcript.pyannote[963].start 6009.04971875
transcript.pyannote[963].end 6009.89346875
transcript.pyannote[964].speaker SPEAKER_16
transcript.pyannote[964].start 6014.07846875
transcript.pyannote[964].end 6015.86721875
transcript.pyannote[965].speaker SPEAKER_16
transcript.pyannote[965].start 6016.13721875
transcript.pyannote[965].end 6021.03096875
transcript.pyannote[966].speaker SPEAKER_16
transcript.pyannote[966].start 6022.38096875
transcript.pyannote[966].end 6025.95846875
transcript.pyannote[967].speaker SPEAKER_29
transcript.pyannote[967].start 6023.15721875
transcript.pyannote[967].end 6024.23721875
transcript.pyannote[968].speaker SPEAKER_16
transcript.pyannote[968].start 6026.14409375
transcript.pyannote[968].end 6026.85284375
transcript.pyannote[969].speaker SPEAKER_16
transcript.pyannote[969].start 6027.20721875
transcript.pyannote[969].end 6028.67534375
transcript.pyannote[970].speaker SPEAKER_16
transcript.pyannote[970].start 6029.08034375
transcript.pyannote[970].end 6030.04221875
transcript.pyannote[971].speaker SPEAKER_16
transcript.pyannote[971].start 6030.27846875
transcript.pyannote[971].end 6030.80159375
transcript.pyannote[972].speaker SPEAKER_16
transcript.pyannote[972].start 6031.07159375
transcript.pyannote[972].end 6031.32471875
transcript.pyannote[973].speaker SPEAKER_16
transcript.pyannote[973].start 6031.49346875
transcript.pyannote[973].end 6032.06721875
transcript.pyannote[974].speaker SPEAKER_16
transcript.pyannote[974].start 6032.15159375
transcript.pyannote[974].end 6032.57346875
transcript.pyannote[975].speaker SPEAKER_16
transcript.pyannote[975].start 6032.67471875
transcript.pyannote[975].end 6032.80971875
transcript.pyannote[976].speaker SPEAKER_29
transcript.pyannote[976].start 6037.68659375
transcript.pyannote[976].end 6038.98596875
transcript.pyannote[977].speaker SPEAKER_29
transcript.pyannote[977].start 6039.23909375
transcript.pyannote[977].end 6039.72846875
transcript.pyannote[978].speaker SPEAKER_09
transcript.pyannote[978].start 6049.97159375
transcript.pyannote[978].end 6052.70534375
transcript.pyannote[979].speaker SPEAKER_28
transcript.pyannote[979].start 6052.97534375
transcript.pyannote[979].end 6053.65034375
transcript.pyannote[980].speaker SPEAKER_09
transcript.pyannote[980].start 6060.67034375
transcript.pyannote[980].end 6074.23784375
transcript.pyannote[981].speaker SPEAKER_09
transcript.pyannote[981].start 6074.65971875
transcript.pyannote[981].end 6075.50346875
transcript.pyannote[982].speaker SPEAKER_09
transcript.pyannote[982].start 6075.89159375
transcript.pyannote[982].end 6078.97971875
transcript.pyannote[983].speaker SPEAKER_04
transcript.pyannote[983].start 6076.97159375
transcript.pyannote[983].end 6077.44409375
transcript.pyannote[984].speaker SPEAKER_04
transcript.pyannote[984].start 6078.97971875
transcript.pyannote[984].end 6079.01346875
transcript.pyannote[985].speaker SPEAKER_09
transcript.pyannote[985].start 6079.01346875
transcript.pyannote[985].end 6079.03034375
transcript.pyannote[986].speaker SPEAKER_04
transcript.pyannote[986].start 6079.03034375
transcript.pyannote[986].end 6079.26659375
transcript.pyannote[987].speaker SPEAKER_09
transcript.pyannote[987].start 6079.26659375
transcript.pyannote[987].end 6079.30034375
transcript.pyannote[988].speaker SPEAKER_04
transcript.pyannote[988].start 6079.30034375
transcript.pyannote[988].end 6079.33409375
transcript.pyannote[989].speaker SPEAKER_09
transcript.pyannote[989].start 6079.33409375
transcript.pyannote[989].end 6079.65471875
transcript.pyannote[990].speaker SPEAKER_04
transcript.pyannote[990].start 6079.65471875
transcript.pyannote[990].end 6079.77284375
transcript.pyannote[991].speaker SPEAKER_09
transcript.pyannote[991].start 6079.77284375
transcript.pyannote[991].end 6079.82346875
transcript.pyannote[992].speaker SPEAKER_04
transcript.pyannote[992].start 6079.82346875
transcript.pyannote[992].end 6079.84034375
transcript.pyannote[993].speaker SPEAKER_04
transcript.pyannote[993].start 6080.93721875
transcript.pyannote[993].end 6085.44284375
transcript.pyannote[994].speaker SPEAKER_04
transcript.pyannote[994].start 6085.67909375
transcript.pyannote[994].end 6087.51846875
transcript.pyannote[995].speaker SPEAKER_09
transcript.pyannote[995].start 6086.67471875
transcript.pyannote[995].end 6093.94784375
transcript.pyannote[996].speaker SPEAKER_09
transcript.pyannote[996].start 6095.98971875
transcript.pyannote[996].end 6096.04034375
transcript.pyannote[997].speaker SPEAKER_04
transcript.pyannote[997].start 6096.04034375
transcript.pyannote[997].end 6098.62221875
transcript.pyannote[998].speaker SPEAKER_09
transcript.pyannote[998].start 6098.85846875
transcript.pyannote[998].end 6104.41034375
transcript.pyannote[999].speaker SPEAKER_04
transcript.pyannote[999].start 6101.13659375
transcript.pyannote[999].end 6101.50784375
transcript.pyannote[1000].speaker SPEAKER_04
transcript.pyannote[1000].start 6103.92096875
transcript.pyannote[1000].end 6105.27096875
transcript.pyannote[1001].speaker SPEAKER_04
transcript.pyannote[1001].start 6106.40159375
transcript.pyannote[1001].end 6107.32971875
transcript.pyannote[1002].speaker SPEAKER_04
transcript.pyannote[1002].start 6107.75159375
transcript.pyannote[1002].end 6108.05534375
transcript.pyannote[1003].speaker SPEAKER_04
transcript.pyannote[1003].start 6110.36721875
transcript.pyannote[1003].end 6116.23971875
transcript.pyannote[1004].speaker SPEAKER_09
transcript.pyannote[1004].start 6115.15971875
transcript.pyannote[1004].end 6117.08346875
transcript.pyannote[1005].speaker SPEAKER_04
transcript.pyannote[1005].start 6117.08346875
transcript.pyannote[1005].end 6118.21409375
transcript.pyannote[1006].speaker SPEAKER_04
transcript.pyannote[1006].start 6118.63596875
transcript.pyannote[1006].end 6120.93096875
transcript.pyannote[1007].speaker SPEAKER_09
transcript.pyannote[1007].start 6120.00284375
transcript.pyannote[1007].end 6120.84659375
transcript.pyannote[1008].speaker SPEAKER_04
transcript.pyannote[1008].start 6122.09534375
transcript.pyannote[1008].end 6124.64346875
transcript.pyannote[1009].speaker SPEAKER_09
transcript.pyannote[1009].start 6123.85034375
transcript.pyannote[1009].end 6124.67721875
transcript.pyannote[1010].speaker SPEAKER_04
transcript.pyannote[1010].start 6124.67721875
transcript.pyannote[1010].end 6124.72784375
transcript.pyannote[1011].speaker SPEAKER_09
transcript.pyannote[1011].start 6124.72784375
transcript.pyannote[1011].end 6124.76159375
transcript.pyannote[1012].speaker SPEAKER_09
transcript.pyannote[1012].start 6125.11596875
transcript.pyannote[1012].end 6130.63409375
transcript.pyannote[1013].speaker SPEAKER_04
transcript.pyannote[1013].start 6130.63409375
transcript.pyannote[1013].end 6131.96721875
transcript.pyannote[1014].speaker SPEAKER_09
transcript.pyannote[1014].start 6131.96721875
transcript.pyannote[1014].end 6132.22034375
transcript.pyannote[1015].speaker SPEAKER_04
transcript.pyannote[1015].start 6132.22034375
transcript.pyannote[1015].end 6135.71346875
transcript.pyannote[1016].speaker SPEAKER_04
transcript.pyannote[1016].start 6135.96659375
transcript.pyannote[1016].end 6136.99596875
transcript.pyannote[1017].speaker SPEAKER_04
transcript.pyannote[1017].start 6137.18159375
transcript.pyannote[1017].end 6137.24909375
transcript.pyannote[1018].speaker SPEAKER_09
transcript.pyannote[1018].start 6137.24909375
transcript.pyannote[1018].end 6138.53159375
transcript.pyannote[1019].speaker SPEAKER_04
transcript.pyannote[1019].start 6138.53159375
transcript.pyannote[1019].end 6138.54846875
transcript.pyannote[1020].speaker SPEAKER_09
transcript.pyannote[1020].start 6138.91971875
transcript.pyannote[1020].end 6139.25721875
transcript.pyannote[1021].speaker SPEAKER_04
transcript.pyannote[1021].start 6139.25721875
transcript.pyannote[1021].end 6139.27409375
transcript.pyannote[1022].speaker SPEAKER_04
transcript.pyannote[1022].start 6139.45971875
transcript.pyannote[1022].end 6139.47659375
transcript.pyannote[1023].speaker SPEAKER_09
transcript.pyannote[1023].start 6139.47659375
transcript.pyannote[1023].end 6139.79721875
transcript.pyannote[1024].speaker SPEAKER_09
transcript.pyannote[1024].start 6140.15159375
transcript.pyannote[1024].end 6142.53096875
transcript.pyannote[1025].speaker SPEAKER_09
transcript.pyannote[1025].start 6144.20159375
transcript.pyannote[1025].end 6144.21846875
transcript.pyannote[1026].speaker SPEAKER_04
transcript.pyannote[1026].start 6144.21846875
transcript.pyannote[1026].end 6144.23534375
transcript.pyannote[1027].speaker SPEAKER_09
transcript.pyannote[1027].start 6144.23534375
transcript.pyannote[1027].end 6150.98534375
transcript.pyannote[1028].speaker SPEAKER_04
transcript.pyannote[1028].start 6145.58534375
transcript.pyannote[1028].end 6145.83846875
transcript.pyannote[1029].speaker SPEAKER_04
transcript.pyannote[1029].start 6146.32784375
transcript.pyannote[1029].end 6146.49659375
transcript.pyannote[1030].speaker SPEAKER_09
transcript.pyannote[1030].start 6151.40721875
transcript.pyannote[1030].end 6155.30534375
transcript.pyannote[1031].speaker SPEAKER_09
transcript.pyannote[1031].start 6155.57534375
transcript.pyannote[1031].end 6164.33346875
transcript.pyannote[1032].speaker SPEAKER_09
transcript.pyannote[1032].start 6165.21096875
transcript.pyannote[1032].end 6168.34971875
transcript.pyannote[1033].speaker SPEAKER_09
transcript.pyannote[1033].start 6169.05846875
transcript.pyannote[1033].end 6195.67034375
transcript.pyannote[1034].speaker SPEAKER_09
transcript.pyannote[1034].start 6196.15971875
transcript.pyannote[1034].end 6207.43221875
transcript.pyannote[1035].speaker SPEAKER_09
transcript.pyannote[1035].start 6207.82034375
transcript.pyannote[1035].end 6228.74534375
transcript.pyannote[1036].speaker SPEAKER_09
transcript.pyannote[1036].start 6229.75784375
transcript.pyannote[1036].end 6242.00909375
transcript.pyannote[1037].speaker SPEAKER_09
transcript.pyannote[1037].start 6242.31284375
transcript.pyannote[1037].end 6244.16909375
transcript.pyannote[1038].speaker SPEAKER_09
transcript.pyannote[1038].start 6244.48971875
transcript.pyannote[1038].end 6246.32909375
transcript.pyannote[1039].speaker SPEAKER_09
transcript.pyannote[1039].start 6247.20659375
transcript.pyannote[1039].end 6247.83096875
transcript.pyannote[1040].speaker SPEAKER_09
transcript.pyannote[1040].start 6250.04159375
transcript.pyannote[1040].end 6256.45409375
transcript.pyannote[1041].speaker SPEAKER_40
transcript.pyannote[1041].start 6256.06596875
transcript.pyannote[1041].end 6256.20096875
transcript.pyannote[1042].speaker SPEAKER_40
transcript.pyannote[1042].start 6256.50471875
transcript.pyannote[1042].end 6256.80846875
transcript.pyannote[1043].speaker SPEAKER_09
transcript.pyannote[1043].start 6257.02784375
transcript.pyannote[1043].end 6260.31846875
transcript.pyannote[1044].speaker SPEAKER_09
transcript.pyannote[1044].start 6260.50409375
transcript.pyannote[1044].end 6266.88284375
transcript.pyannote[1045].speaker SPEAKER_09
transcript.pyannote[1045].start 6267.57471875
transcript.pyannote[1045].end 6268.89096875
transcript.pyannote[1046].speaker SPEAKER_09
transcript.pyannote[1046].start 6269.21159375
transcript.pyannote[1046].end 6269.66721875
transcript.pyannote[1047].speaker SPEAKER_09
transcript.pyannote[1047].start 6269.78534375
transcript.pyannote[1047].end 6270.51096875
transcript.pyannote[1048].speaker SPEAKER_09
transcript.pyannote[1048].start 6270.67971875
transcript.pyannote[1048].end 6279.57284375
transcript.pyannote[1049].speaker SPEAKER_09
transcript.pyannote[1049].start 6279.60659375
transcript.pyannote[1049].end 6281.34471875
transcript.pyannote[1050].speaker SPEAKER_09
transcript.pyannote[1050].start 6281.36159375
transcript.pyannote[1050].end 6283.58909375
transcript.pyannote[1051].speaker SPEAKER_04
transcript.pyannote[1051].start 6286.44096875
transcript.pyannote[1051].end 6287.23409375
transcript.pyannote[1052].speaker SPEAKER_04
transcript.pyannote[1052].start 6287.72346875
transcript.pyannote[1052].end 6290.10284375
transcript.pyannote[1053].speaker SPEAKER_04
transcript.pyannote[1053].start 6290.92971875
transcript.pyannote[1053].end 6295.31721875
transcript.pyannote[1054].speaker SPEAKER_09
transcript.pyannote[1054].start 6295.31721875
transcript.pyannote[1054].end 6303.83909375
transcript.pyannote[1055].speaker SPEAKER_04
transcript.pyannote[1055].start 6295.33409375
transcript.pyannote[1055].end 6295.67159375
transcript.pyannote[1056].speaker SPEAKER_09
transcript.pyannote[1056].start 6304.29471875
transcript.pyannote[1056].end 6316.42784375
transcript.pyannote[1057].speaker SPEAKER_09
transcript.pyannote[1057].start 6317.87909375
transcript.pyannote[1057].end 6321.54096875
transcript.pyannote[1058].speaker SPEAKER_04
transcript.pyannote[1058].start 6323.65034375
transcript.pyannote[1058].end 6334.88909375
transcript.pyannote[1059].speaker SPEAKER_09
transcript.pyannote[1059].start 6326.58659375
transcript.pyannote[1059].end 6326.85659375
transcript.pyannote[1060].speaker SPEAKER_09
transcript.pyannote[1060].start 6331.10909375
transcript.pyannote[1060].end 6331.64909375
transcript.pyannote[1061].speaker SPEAKER_09
transcript.pyannote[1061].start 6331.96971875
transcript.pyannote[1061].end 6332.88096875
transcript.pyannote[1062].speaker SPEAKER_09
transcript.pyannote[1062].start 6333.04971875
transcript.pyannote[1062].end 6334.82159375
transcript.pyannote[1063].speaker SPEAKER_09
transcript.pyannote[1063].start 6334.88909375
transcript.pyannote[1063].end 6345.90846875
transcript.pyannote[1064].speaker SPEAKER_04
transcript.pyannote[1064].start 6339.15846875
transcript.pyannote[1064].end 6339.66471875
transcript.pyannote[1065].speaker SPEAKER_04
transcript.pyannote[1065].start 6341.35221875
transcript.pyannote[1065].end 6343.86659375
transcript.pyannote[1066].speaker SPEAKER_04
transcript.pyannote[1066].start 6345.19971875
transcript.pyannote[1066].end 6350.07659375
transcript.pyannote[1067].speaker SPEAKER_09
transcript.pyannote[1067].start 6350.07659375
transcript.pyannote[1067].end 6350.22846875
transcript.pyannote[1068].speaker SPEAKER_04
transcript.pyannote[1068].start 6350.22846875
transcript.pyannote[1068].end 6350.97096875
transcript.pyannote[1069].speaker SPEAKER_09
transcript.pyannote[1069].start 6350.97096875
transcript.pyannote[1069].end 6351.40971875
transcript.pyannote[1070].speaker SPEAKER_09
transcript.pyannote[1070].start 6351.88221875
transcript.pyannote[1070].end 6352.38846875
transcript.pyannote[1071].speaker SPEAKER_09
transcript.pyannote[1071].start 6353.29971875
transcript.pyannote[1071].end 6354.26159375
transcript.pyannote[1072].speaker SPEAKER_09
transcript.pyannote[1072].start 6354.59909375
transcript.pyannote[1072].end 6367.33971875
transcript.pyannote[1073].speaker SPEAKER_09
transcript.pyannote[1073].start 6367.96409375
transcript.pyannote[1073].end 6378.35909375
transcript.pyannote[1074].speaker SPEAKER_09
transcript.pyannote[1074].start 6379.67534375
transcript.pyannote[1074].end 6386.77971875
transcript.pyannote[1075].speaker SPEAKER_09
transcript.pyannote[1075].start 6387.13409375
transcript.pyannote[1075].end 6391.52159375
transcript.pyannote[1076].speaker SPEAKER_09
transcript.pyannote[1076].start 6392.14596875
transcript.pyannote[1076].end 6396.28034375
transcript.pyannote[1077].speaker SPEAKER_09
transcript.pyannote[1077].start 6396.70221875
transcript.pyannote[1077].end 6400.81971875
transcript.pyannote[1078].speaker SPEAKER_09
transcript.pyannote[1078].start 6401.20784375
transcript.pyannote[1078].end 6404.44784375
transcript.pyannote[1079].speaker SPEAKER_09
transcript.pyannote[1079].start 6404.71784375
transcript.pyannote[1079].end 6411.82221875
transcript.pyannote[1080].speaker SPEAKER_09
transcript.pyannote[1080].start 6412.00784375
transcript.pyannote[1080].end 6422.06534375
transcript.pyannote[1081].speaker SPEAKER_09
transcript.pyannote[1081].start 6422.35221875
transcript.pyannote[1081].end 6424.02284375
transcript.pyannote[1082].speaker SPEAKER_04
transcript.pyannote[1082].start 6424.02284375
transcript.pyannote[1082].end 6426.89159375
transcript.pyannote[1083].speaker SPEAKER_04
transcript.pyannote[1083].start 6427.44846875
transcript.pyannote[1083].end 6439.69971875
transcript.pyannote[1084].speaker SPEAKER_05
transcript.pyannote[1084].start 6431.92034375
transcript.pyannote[1084].end 6432.20721875
transcript.pyannote[1085].speaker SPEAKER_00
transcript.pyannote[1085].start 6432.20721875
transcript.pyannote[1085].end 6432.24096875
transcript.pyannote[1086].speaker SPEAKER_09
transcript.pyannote[1086].start 6435.22784375
transcript.pyannote[1086].end 6437.25284375
transcript.pyannote[1087].speaker SPEAKER_09
transcript.pyannote[1087].start 6439.34534375
transcript.pyannote[1087].end 6439.63221875
transcript.pyannote[1088].speaker SPEAKER_09
transcript.pyannote[1088].start 6439.69971875
transcript.pyannote[1088].end 6448.27221875
transcript.pyannote[1089].speaker SPEAKER_09
transcript.pyannote[1089].start 6449.26784375
transcript.pyannote[1089].end 6455.25846875
transcript.pyannote[1090].speaker SPEAKER_09
transcript.pyannote[1090].start 6455.64659375
transcript.pyannote[1090].end 6458.61659375
transcript.pyannote[1091].speaker SPEAKER_09
transcript.pyannote[1091].start 6459.91596875
transcript.pyannote[1091].end 6481.54971875
transcript.pyannote[1092].speaker SPEAKER_09
transcript.pyannote[1092].start 6481.97159375
transcript.pyannote[1092].end 6483.33846875
transcript.pyannote[1093].speaker SPEAKER_09
transcript.pyannote[1093].start 6483.89534375
transcript.pyannote[1093].end 6489.51471875
transcript.pyannote[1094].speaker SPEAKER_09
transcript.pyannote[1094].start 6490.27409375
transcript.pyannote[1094].end 6491.06721875
transcript.pyannote[1095].speaker SPEAKER_09
transcript.pyannote[1095].start 6492.40034375
transcript.pyannote[1095].end 6493.15971875
transcript.pyannote[1096].speaker SPEAKER_09
transcript.pyannote[1096].start 6493.54784375
transcript.pyannote[1096].end 6508.06034375
transcript.pyannote[1097].speaker SPEAKER_09
transcript.pyannote[1097].start 6508.53284375
transcript.pyannote[1097].end 6509.03909375
transcript.pyannote[1098].speaker SPEAKER_04
transcript.pyannote[1098].start 6509.03909375
transcript.pyannote[1098].end 6509.79846875
transcript.pyannote[1099].speaker SPEAKER_09
transcript.pyannote[1099].start 6509.79846875
transcript.pyannote[1099].end 6509.83221875
transcript.pyannote[1100].speaker SPEAKER_04
transcript.pyannote[1100].start 6510.23721875
transcript.pyannote[1100].end 6520.42971875
transcript.pyannote[1101].speaker SPEAKER_04
transcript.pyannote[1101].start 6521.23971875
transcript.pyannote[1101].end 6525.91409375
transcript.pyannote[1102].speaker SPEAKER_04
transcript.pyannote[1102].start 6526.15034375
transcript.pyannote[1102].end 6529.71096875
transcript.pyannote[1103].speaker SPEAKER_04
transcript.pyannote[1103].start 6529.89659375
transcript.pyannote[1103].end 6532.59659375
transcript.pyannote[1104].speaker SPEAKER_04
transcript.pyannote[1104].start 6533.25471875
transcript.pyannote[1104].end 6534.79034375
transcript.pyannote[1105].speaker SPEAKER_09
transcript.pyannote[1105].start 6533.91284375
transcript.pyannote[1105].end 6560.77784375
transcript.pyannote[1106].speaker SPEAKER_04
transcript.pyannote[1106].start 6559.36034375
transcript.pyannote[1106].end 6561.60471875
transcript.pyannote[1107].speaker SPEAKER_09
transcript.pyannote[1107].start 6562.27971875
transcript.pyannote[1107].end 6562.29659375
transcript.pyannote[1108].speaker SPEAKER_04
transcript.pyannote[1108].start 6562.29659375
transcript.pyannote[1108].end 6562.54971875
transcript.pyannote[1109].speaker SPEAKER_09
transcript.pyannote[1109].start 6562.54971875
transcript.pyannote[1109].end 6562.56659375
transcript.pyannote[1110].speaker SPEAKER_04
transcript.pyannote[1110].start 6562.56659375
transcript.pyannote[1110].end 6562.58346875
transcript.pyannote[1111].speaker SPEAKER_04
transcript.pyannote[1111].start 6563.42721875
transcript.pyannote[1111].end 6565.99221875
transcript.pyannote[1112].speaker SPEAKER_04
transcript.pyannote[1112].start 6567.20721875
transcript.pyannote[1112].end 6571.45971875
transcript.pyannote[1113].speaker SPEAKER_09
transcript.pyannote[1113].start 6571.45971875
transcript.pyannote[1113].end 6601.24409375
transcript.pyannote[1114].speaker SPEAKER_25
transcript.pyannote[1114].start 6586.83284375
transcript.pyannote[1114].end 6587.11971875
transcript.pyannote[1115].speaker SPEAKER_09
transcript.pyannote[1115].start 6602.00346875
transcript.pyannote[1115].end 6602.83034375
transcript.pyannote[1116].speaker SPEAKER_09
transcript.pyannote[1116].start 6602.99909375
transcript.pyannote[1116].end 6603.03284375
transcript.pyannote[1117].speaker SPEAKER_09
transcript.pyannote[1117].start 6603.04971875
transcript.pyannote[1117].end 6609.86721875
transcript.pyannote[1118].speaker SPEAKER_09
transcript.pyannote[1118].start 6610.00221875
transcript.pyannote[1118].end 6610.59284375
transcript.pyannote[1119].speaker SPEAKER_09
transcript.pyannote[1119].start 6610.81221875
transcript.pyannote[1119].end 6613.17471875
transcript.pyannote[1120].speaker SPEAKER_04
transcript.pyannote[1120].start 6612.21284375
transcript.pyannote[1120].end 6614.99721875
transcript.pyannote[1121].speaker SPEAKER_09
transcript.pyannote[1121].start 6614.35596875
transcript.pyannote[1121].end 6620.36346875
transcript.pyannote[1122].speaker SPEAKER_09
transcript.pyannote[1122].start 6620.81909375
transcript.pyannote[1122].end 6633.50909375
transcript.pyannote[1123].speaker SPEAKER_09
transcript.pyannote[1123].start 6633.66096875
transcript.pyannote[1123].end 6634.60596875
transcript.pyannote[1124].speaker SPEAKER_09
transcript.pyannote[1124].start 6635.34846875
transcript.pyannote[1124].end 6635.63534375
transcript.pyannote[1125].speaker SPEAKER_04
transcript.pyannote[1125].start 6635.63534375
transcript.pyannote[1125].end 6636.05721875
transcript.pyannote[1126].speaker SPEAKER_09
transcript.pyannote[1126].start 6636.05721875
transcript.pyannote[1126].end 6636.10784375
transcript.pyannote[1127].speaker SPEAKER_04
transcript.pyannote[1127].start 6636.10784375
transcript.pyannote[1127].end 6636.12471875
transcript.pyannote[1128].speaker SPEAKER_09
transcript.pyannote[1128].start 6656.59409375
transcript.pyannote[1128].end 6658.41659375
transcript.pyannote[1129].speaker SPEAKER_29
transcript.pyannote[1129].start 6663.15846875
transcript.pyannote[1129].end 6664.59284375
transcript.pyannote[1130].speaker SPEAKER_09
transcript.pyannote[1130].start 6665.28471875
transcript.pyannote[1130].end 6666.14534375
transcript.pyannote[1131].speaker SPEAKER_08
transcript.pyannote[1131].start 6671.64659375
transcript.pyannote[1131].end 6672.06846875
transcript.pyannote[1132].speaker SPEAKER_29
transcript.pyannote[1132].start 6672.25409375
transcript.pyannote[1132].end 6672.59159375
transcript.pyannote[1133].speaker SPEAKER_29
transcript.pyannote[1133].start 6673.33409375
transcript.pyannote[1133].end 6675.66284375
transcript.pyannote[1134].speaker SPEAKER_29
transcript.pyannote[1134].start 6676.23659375
transcript.pyannote[1134].end 6677.62034375
transcript.pyannote[1135].speaker SPEAKER_29
transcript.pyannote[1135].start 6678.10971875
transcript.pyannote[1135].end 6683.69534375
transcript.pyannote[1136].speaker SPEAKER_29
transcript.pyannote[1136].start 6684.38721875
transcript.pyannote[1136].end 6690.59721875
transcript.pyannote[1137].speaker SPEAKER_00
transcript.pyannote[1137].start 6690.07409375
transcript.pyannote[1137].end 6690.10784375
transcript.pyannote[1138].speaker SPEAKER_39
transcript.pyannote[1138].start 6690.10784375
transcript.pyannote[1138].end 6690.46221875
transcript.pyannote[1139].speaker SPEAKER_29
transcript.pyannote[1139].start 6690.79971875
transcript.pyannote[1139].end 6701.48159375
transcript.pyannote[1140].speaker SPEAKER_00
transcript.pyannote[1140].start 6693.26346875
transcript.pyannote[1140].end 6693.98909375
transcript.pyannote[1141].speaker SPEAKER_26
transcript.pyannote[1141].start 6694.42784375
transcript.pyannote[1141].end 6694.74846875
transcript.pyannote[1142].speaker SPEAKER_00
transcript.pyannote[1142].start 6694.74846875
transcript.pyannote[1142].end 6694.78221875
transcript.pyannote[1143].speaker SPEAKER_26
transcript.pyannote[1143].start 6695.77784375
transcript.pyannote[1143].end 6696.01409375
transcript.pyannote[1144].speaker SPEAKER_29
transcript.pyannote[1144].start 6701.59971875
transcript.pyannote[1144].end 6714.71159375
transcript.pyannote[1145].speaker SPEAKER_08
transcript.pyannote[1145].start 6711.33659375
transcript.pyannote[1145].end 6711.45471875
transcript.pyannote[1146].speaker SPEAKER_08
transcript.pyannote[1146].start 6714.71159375
transcript.pyannote[1146].end 6714.99846875
transcript.pyannote[1147].speaker SPEAKER_29
transcript.pyannote[1147].start 6714.99846875
transcript.pyannote[1147].end 6715.69034375
transcript.pyannote[1148].speaker SPEAKER_29
transcript.pyannote[1148].start 6715.97721875
transcript.pyannote[1148].end 6722.06909375
transcript.pyannote[1149].speaker SPEAKER_29
transcript.pyannote[1149].start 6722.13659375
transcript.pyannote[1149].end 6739.21409375
transcript.pyannote[1150].speaker SPEAKER_29
transcript.pyannote[1150].start 6740.12534375
transcript.pyannote[1150].end 6740.71596875
transcript.pyannote[1151].speaker SPEAKER_29
transcript.pyannote[1151].start 6741.35721875
transcript.pyannote[1151].end 6741.99846875
transcript.pyannote[1152].speaker SPEAKER_29
transcript.pyannote[1152].start 6742.36971875
transcript.pyannote[1152].end 6745.22159375
transcript.pyannote[1153].speaker SPEAKER_29
transcript.pyannote[1153].start 6745.44096875
transcript.pyannote[1153].end 6753.35534375
transcript.pyannote[1154].speaker SPEAKER_29
transcript.pyannote[1154].start 6753.99659375
transcript.pyannote[1154].end 6759.90284375
transcript.pyannote[1155].speaker SPEAKER_29
transcript.pyannote[1155].start 6760.24034375
transcript.pyannote[1155].end 6762.51846875
transcript.pyannote[1156].speaker SPEAKER_29
transcript.pyannote[1156].start 6762.88971875
transcript.pyannote[1156].end 6764.50971875
transcript.pyannote[1157].speaker SPEAKER_29
transcript.pyannote[1157].start 6765.50534375
transcript.pyannote[1157].end 6767.20971875
transcript.pyannote[1158].speaker SPEAKER_29
transcript.pyannote[1158].start 6768.07034375
transcript.pyannote[1158].end 6769.60596875
transcript.pyannote[1159].speaker SPEAKER_29
transcript.pyannote[1159].start 6770.24721875
transcript.pyannote[1159].end 6771.71534375
transcript.pyannote[1160].speaker SPEAKER_29
transcript.pyannote[1160].start 6772.33971875
transcript.pyannote[1160].end 6774.07784375
transcript.pyannote[1161].speaker SPEAKER_29
transcript.pyannote[1161].start 6774.53346875
transcript.pyannote[1161].end 6775.15784375
transcript.pyannote[1162].speaker SPEAKER_29
transcript.pyannote[1162].start 6775.49534375
transcript.pyannote[1162].end 6777.87471875
transcript.pyannote[1163].speaker SPEAKER_29
transcript.pyannote[1163].start 6778.65096875
transcript.pyannote[1163].end 6780.47346875
transcript.pyannote[1164].speaker SPEAKER_29
transcript.pyannote[1164].start 6780.87846875
transcript.pyannote[1164].end 6782.53221875
transcript.pyannote[1165].speaker SPEAKER_29
transcript.pyannote[1165].start 6783.03846875
transcript.pyannote[1165].end 6784.13534375
transcript.pyannote[1166].speaker SPEAKER_29
transcript.pyannote[1166].start 6784.33784375
transcript.pyannote[1166].end 6784.97909375
transcript.pyannote[1167].speaker SPEAKER_29
transcript.pyannote[1167].start 6785.72159375
transcript.pyannote[1167].end 6786.76784375
transcript.pyannote[1168].speaker SPEAKER_29
transcript.pyannote[1168].start 6788.18534375
transcript.pyannote[1168].end 6789.48471875
transcript.pyannote[1169].speaker SPEAKER_29
transcript.pyannote[1169].start 6789.94034375
transcript.pyannote[1169].end 6790.46346875
transcript.pyannote[1170].speaker SPEAKER_29
transcript.pyannote[1170].start 6791.07096875
transcript.pyannote[1170].end 6792.01596875
transcript.pyannote[1171].speaker SPEAKER_29
transcript.pyannote[1171].start 6792.50534375
transcript.pyannote[1171].end 6793.90596875
transcript.pyannote[1172].speaker SPEAKER_29
transcript.pyannote[1172].start 6794.26034375
transcript.pyannote[1172].end 6797.48346875
transcript.pyannote[1173].speaker SPEAKER_04
transcript.pyannote[1173].start 6799.67721875
transcript.pyannote[1173].end 6800.43659375
transcript.pyannote[1174].speaker SPEAKER_29
transcript.pyannote[1174].start 6799.71096875
transcript.pyannote[1174].end 6800.45346875
transcript.pyannote[1175].speaker SPEAKER_04
transcript.pyannote[1175].start 6800.45346875
transcript.pyannote[1175].end 6800.65596875
transcript.pyannote[1176].speaker SPEAKER_29
transcript.pyannote[1176].start 6800.65596875
transcript.pyannote[1176].end 6801.44909375
transcript.pyannote[1177].speaker SPEAKER_04
transcript.pyannote[1177].start 6800.67284375
transcript.pyannote[1177].end 6801.06096875
transcript.pyannote[1178].speaker SPEAKER_04
transcript.pyannote[1178].start 6801.53346875
transcript.pyannote[1178].end 6802.02284375
transcript.pyannote[1179].speaker SPEAKER_29
transcript.pyannote[1179].start 6802.63034375
transcript.pyannote[1179].end 6803.17034375
transcript.pyannote[1180].speaker SPEAKER_04
transcript.pyannote[1180].start 6803.71034375
transcript.pyannote[1180].end 6805.06034375
transcript.pyannote[1181].speaker SPEAKER_29
transcript.pyannote[1181].start 6804.30096875
transcript.pyannote[1181].end 6815.60721875
transcript.pyannote[1182].speaker SPEAKER_29
transcript.pyannote[1182].start 6815.87721875
transcript.pyannote[1182].end 6817.29471875
transcript.pyannote[1183].speaker SPEAKER_29
transcript.pyannote[1183].start 6817.76721875
transcript.pyannote[1183].end 6820.11284375
transcript.pyannote[1184].speaker SPEAKER_29
transcript.pyannote[1184].start 6821.86784375
transcript.pyannote[1184].end 6823.53846875
transcript.pyannote[1185].speaker SPEAKER_29
transcript.pyannote[1185].start 6823.87596875
transcript.pyannote[1185].end 6825.64784375
transcript.pyannote[1186].speaker SPEAKER_29
transcript.pyannote[1186].start 6826.17096875
transcript.pyannote[1186].end 6827.57159375
transcript.pyannote[1187].speaker SPEAKER_29
transcript.pyannote[1187].start 6828.34784375
transcript.pyannote[1187].end 6829.83284375
transcript.pyannote[1188].speaker SPEAKER_29
transcript.pyannote[1188].start 6830.38971875
transcript.pyannote[1188].end 6832.51596875
transcript.pyannote[1189].speaker SPEAKER_29
transcript.pyannote[1189].start 6833.79846875
transcript.pyannote[1189].end 6835.09784375
transcript.pyannote[1190].speaker SPEAKER_29
transcript.pyannote[1190].start 6835.55346875
transcript.pyannote[1190].end 6839.97471875
transcript.pyannote[1191].speaker SPEAKER_29
transcript.pyannote[1191].start 6840.46409375
transcript.pyannote[1191].end 6841.64534375
transcript.pyannote[1192].speaker SPEAKER_29
transcript.pyannote[1192].start 6842.65784375
transcript.pyannote[1192].end 6845.05409375
transcript.pyannote[1193].speaker SPEAKER_29
transcript.pyannote[1193].start 6845.18909375
transcript.pyannote[1193].end 6846.91034375
transcript.pyannote[1194].speaker SPEAKER_29
transcript.pyannote[1194].start 6848.05784375
transcript.pyannote[1194].end 6849.66096875
transcript.pyannote[1195].speaker SPEAKER_29
transcript.pyannote[1195].start 6850.30221875
transcript.pyannote[1195].end 6852.04034375
transcript.pyannote[1196].speaker SPEAKER_29
transcript.pyannote[1196].start 6852.90096875
transcript.pyannote[1196].end 6854.20034375
transcript.pyannote[1197].speaker SPEAKER_29
transcript.pyannote[1197].start 6854.41971875
transcript.pyannote[1197].end 6855.65159375
transcript.pyannote[1198].speaker SPEAKER_29
transcript.pyannote[1198].start 6855.80346875
transcript.pyannote[1198].end 6856.74846875
transcript.pyannote[1199].speaker SPEAKER_29
transcript.pyannote[1199].start 6857.30534375
transcript.pyannote[1199].end 6858.11534375
transcript.pyannote[1200].speaker SPEAKER_29
transcript.pyannote[1200].start 6859.27971875
transcript.pyannote[1200].end 6860.73096875
transcript.pyannote[1201].speaker SPEAKER_29
transcript.pyannote[1201].start 6863.39721875
transcript.pyannote[1201].end 6864.96659375
transcript.pyannote[1202].speaker SPEAKER_29
transcript.pyannote[1202].start 6865.82721875
transcript.pyannote[1202].end 6868.03784375
transcript.pyannote[1203].speaker SPEAKER_29
transcript.pyannote[1203].start 6868.49346875
transcript.pyannote[1203].end 6869.70846875
transcript.pyannote[1204].speaker SPEAKER_29
transcript.pyannote[1204].start 6870.24846875
transcript.pyannote[1204].end 6872.25659375
transcript.pyannote[1205].speaker SPEAKER_29
transcript.pyannote[1205].start 6872.76284375
transcript.pyannote[1205].end 6876.91409375
transcript.pyannote[1206].speaker SPEAKER_29
transcript.pyannote[1206].start 6877.55534375
transcript.pyannote[1206].end 6880.20471875
transcript.pyannote[1207].speaker SPEAKER_29
transcript.pyannote[1207].start 6880.52534375
transcript.pyannote[1207].end 6882.17909375
transcript.pyannote[1208].speaker SPEAKER_29
transcript.pyannote[1208].start 6882.73596875
transcript.pyannote[1208].end 6886.06034375
transcript.pyannote[1209].speaker SPEAKER_29
transcript.pyannote[1209].start 6886.75221875
transcript.pyannote[1209].end 6887.34284375
transcript.pyannote[1210].speaker SPEAKER_29
transcript.pyannote[1210].start 6888.57471875
transcript.pyannote[1210].end 6888.92909375
transcript.pyannote[1211].speaker SPEAKER_29
transcript.pyannote[1211].start 6889.80659375
transcript.pyannote[1211].end 6891.52784375
transcript.pyannote[1212].speaker SPEAKER_29
transcript.pyannote[1212].start 6892.54034375
transcript.pyannote[1212].end 6895.22346875
transcript.pyannote[1213].speaker SPEAKER_29
transcript.pyannote[1213].start 6895.49346875
transcript.pyannote[1213].end 6897.97409375
transcript.pyannote[1214].speaker SPEAKER_29
transcript.pyannote[1214].start 6898.59846875
transcript.pyannote[1214].end 6899.89784375
transcript.pyannote[1215].speaker SPEAKER_29
transcript.pyannote[1215].start 6900.42096875
transcript.pyannote[1215].end 6901.26471875
transcript.pyannote[1216].speaker SPEAKER_29
transcript.pyannote[1216].start 6902.17596875
transcript.pyannote[1216].end 6903.12096875
transcript.pyannote[1217].speaker SPEAKER_29
transcript.pyannote[1217].start 6903.66096875
transcript.pyannote[1217].end 6911.33909375
transcript.pyannote[1218].speaker SPEAKER_29
transcript.pyannote[1218].start 6911.92971875
transcript.pyannote[1218].end 6917.66721875
transcript.pyannote[1219].speaker SPEAKER_29
transcript.pyannote[1219].start 6918.15659375
transcript.pyannote[1219].end 6918.74721875
transcript.pyannote[1220].speaker SPEAKER_29
transcript.pyannote[1220].start 6919.00034375
transcript.pyannote[1220].end 6923.23596875
transcript.pyannote[1221].speaker SPEAKER_29
transcript.pyannote[1221].start 6923.79284375
transcript.pyannote[1221].end 6925.14284375
transcript.pyannote[1222].speaker SPEAKER_29
transcript.pyannote[1222].start 6925.32846875
transcript.pyannote[1222].end 6927.03284375
transcript.pyannote[1223].speaker SPEAKER_29
transcript.pyannote[1223].start 6927.13409375
transcript.pyannote[1223].end 6929.63159375
transcript.pyannote[1224].speaker SPEAKER_29
transcript.pyannote[1224].start 6930.18846875
transcript.pyannote[1224].end 6931.13346875
transcript.pyannote[1225].speaker SPEAKER_29
transcript.pyannote[1225].start 6931.84221875
transcript.pyannote[1225].end 6933.37784375
transcript.pyannote[1226].speaker SPEAKER_29
transcript.pyannote[1226].start 6933.83346875
transcript.pyannote[1226].end 6934.54221875
transcript.pyannote[1227].speaker SPEAKER_29
transcript.pyannote[1227].start 6935.70659375
transcript.pyannote[1227].end 6937.07346875
transcript.pyannote[1228].speaker SPEAKER_29
transcript.pyannote[1228].start 6937.88346875
transcript.pyannote[1228].end 6941.84909375
transcript.pyannote[1229].speaker SPEAKER_29
transcript.pyannote[1229].start 6942.45659375
transcript.pyannote[1229].end 6943.43534375
transcript.pyannote[1230].speaker SPEAKER_29
transcript.pyannote[1230].start 6943.62096875
transcript.pyannote[1230].end 6952.14284375
transcript.pyannote[1231].speaker SPEAKER_29
transcript.pyannote[1231].start 6952.19346875
transcript.pyannote[1231].end 6953.03721875
transcript.pyannote[1232].speaker SPEAKER_29
transcript.pyannote[1232].start 6953.08784375
transcript.pyannote[1232].end 6954.30284375
transcript.pyannote[1233].speaker SPEAKER_29
transcript.pyannote[1233].start 6955.14659375
transcript.pyannote[1233].end 6956.31096875
transcript.pyannote[1234].speaker SPEAKER_29
transcript.pyannote[1234].start 6956.80034375
transcript.pyannote[1234].end 6958.31909375
transcript.pyannote[1235].speaker SPEAKER_29
transcript.pyannote[1235].start 6959.16284375
transcript.pyannote[1235].end 6960.19221875
transcript.pyannote[1236].speaker SPEAKER_29
transcript.pyannote[1236].start 6960.76596875
transcript.pyannote[1236].end 6961.28909375
transcript.pyannote[1237].speaker SPEAKER_29
transcript.pyannote[1237].start 6962.65596875
transcript.pyannote[1237].end 6964.39409375
transcript.pyannote[1238].speaker SPEAKER_29
transcript.pyannote[1238].start 6964.64721875
transcript.pyannote[1238].end 6965.96346875
transcript.pyannote[1239].speaker SPEAKER_29
transcript.pyannote[1239].start 6966.16596875
transcript.pyannote[1239].end 6967.51596875
transcript.pyannote[1240].speaker SPEAKER_29
transcript.pyannote[1240].start 6969.38909375
transcript.pyannote[1240].end 6973.32096875
transcript.pyannote[1241].speaker SPEAKER_29
transcript.pyannote[1241].start 6974.36721875
transcript.pyannote[1241].end 6974.75534375
transcript.pyannote[1242].speaker SPEAKER_29
transcript.pyannote[1242].start 6975.17721875
transcript.pyannote[1242].end 6975.54846875
transcript.pyannote[1243].speaker SPEAKER_29
transcript.pyannote[1243].start 6975.91971875
transcript.pyannote[1243].end 6977.33721875
transcript.pyannote[1244].speaker SPEAKER_29
transcript.pyannote[1244].start 6977.67471875
transcript.pyannote[1244].end 6978.53534375
transcript.pyannote[1245].speaker SPEAKER_29
transcript.pyannote[1245].start 6979.14284375
transcript.pyannote[1245].end 6980.13846875
transcript.pyannote[1246].speaker SPEAKER_29
transcript.pyannote[1246].start 6980.50971875
transcript.pyannote[1246].end 6982.16346875
transcript.pyannote[1247].speaker SPEAKER_29
transcript.pyannote[1247].start 6982.48409375
transcript.pyannote[1247].end 6984.10409375
transcript.pyannote[1248].speaker SPEAKER_29
transcript.pyannote[1248].start 6984.40784375
transcript.pyannote[1248].end 6984.81284375
transcript.pyannote[1249].speaker SPEAKER_04
transcript.pyannote[1249].start 6986.16284375
transcript.pyannote[1249].end 6987.44534375
transcript.pyannote[1250].speaker SPEAKER_04
transcript.pyannote[1250].start 6987.47909375
transcript.pyannote[1250].end 6988.93034375
transcript.pyannote[1251].speaker SPEAKER_04
transcript.pyannote[1251].start 6990.22971875
transcript.pyannote[1251].end 6991.86659375
transcript.pyannote[1252].speaker SPEAKER_04
transcript.pyannote[1252].start 6992.47409375
transcript.pyannote[1252].end 6994.54971875
transcript.pyannote[1253].speaker SPEAKER_04
transcript.pyannote[1253].start 6995.10659375
transcript.pyannote[1253].end 7018.46159375
transcript.pyannote[1254].speaker SPEAKER_29
transcript.pyannote[1254].start 7017.22971875
transcript.pyannote[1254].end 7020.31784375
transcript.pyannote[1255].speaker SPEAKER_04
transcript.pyannote[1255].start 7018.81596875
transcript.pyannote[1255].end 7019.37284375
transcript.pyannote[1256].speaker SPEAKER_04
transcript.pyannote[1256].start 7020.70596875
transcript.pyannote[1256].end 7023.79409375
transcript.pyannote[1257].speaker SPEAKER_29
transcript.pyannote[1257].start 7023.96284375
transcript.pyannote[1257].end 7025.39721875
transcript.pyannote[1258].speaker SPEAKER_04
transcript.pyannote[1258].start 7025.41409375
transcript.pyannote[1258].end 7028.14784375
transcript.pyannote[1259].speaker SPEAKER_29
transcript.pyannote[1259].start 7025.81909375
transcript.pyannote[1259].end 7042.86284375
transcript.pyannote[1260].speaker SPEAKER_04
transcript.pyannote[1260].start 7028.94096875
transcript.pyannote[1260].end 7029.02534375
transcript.pyannote[1261].speaker SPEAKER_09
transcript.pyannote[1261].start 7029.02534375
transcript.pyannote[1261].end 7029.09284375
transcript.pyannote[1262].speaker SPEAKER_04
transcript.pyannote[1262].start 7029.09284375
transcript.pyannote[1262].end 7029.48096875
transcript.pyannote[1263].speaker SPEAKER_09
transcript.pyannote[1263].start 7029.48096875
transcript.pyannote[1263].end 7029.76784375
transcript.pyannote[1264].speaker SPEAKER_04
transcript.pyannote[1264].start 7029.76784375
transcript.pyannote[1264].end 7029.97034375
transcript.pyannote[1265].speaker SPEAKER_09
transcript.pyannote[1265].start 7029.97034375
transcript.pyannote[1265].end 7030.30784375
transcript.pyannote[1266].speaker SPEAKER_04
transcript.pyannote[1266].start 7030.30784375
transcript.pyannote[1266].end 7030.32471875
transcript.pyannote[1267].speaker SPEAKER_39
transcript.pyannote[1267].start 7040.29784375
transcript.pyannote[1267].end 7041.86721875
transcript.pyannote[1268].speaker SPEAKER_29
transcript.pyannote[1268].start 7043.28471875
transcript.pyannote[1268].end 7044.09471875
transcript.pyannote[1269].speaker SPEAKER_29
transcript.pyannote[1269].start 7044.44909375
transcript.pyannote[1269].end 7046.86221875
transcript.pyannote[1270].speaker SPEAKER_29
transcript.pyannote[1270].start 7047.03096875
transcript.pyannote[1270].end 7050.23721875
transcript.pyannote[1271].speaker SPEAKER_29
transcript.pyannote[1271].start 7050.62534375
transcript.pyannote[1271].end 7061.03721875
transcript.pyannote[1272].speaker SPEAKER_04
transcript.pyannote[1272].start 7053.34221875
transcript.pyannote[1272].end 7055.72159375
transcript.pyannote[1273].speaker SPEAKER_04
transcript.pyannote[1273].start 7061.03721875
transcript.pyannote[1273].end 7071.70221875
transcript.pyannote[1274].speaker SPEAKER_29
transcript.pyannote[1274].start 7061.15534375
transcript.pyannote[1274].end 7062.40409375
transcript.pyannote[1275].speaker SPEAKER_04
transcript.pyannote[1275].start 7071.73596875
transcript.pyannote[1275].end 7074.45284375
transcript.pyannote[1276].speaker SPEAKER_04
transcript.pyannote[1276].start 7074.79034375
transcript.pyannote[1276].end 7075.29659375
transcript.pyannote[1277].speaker SPEAKER_04
transcript.pyannote[1277].start 7075.76909375
transcript.pyannote[1277].end 7079.51534375
transcript.pyannote[1278].speaker SPEAKER_29
transcript.pyannote[1278].start 7079.51534375
transcript.pyannote[1278].end 7086.55221875
transcript.pyannote[1279].speaker SPEAKER_39
transcript.pyannote[1279].start 7079.71784375
transcript.pyannote[1279].end 7079.73471875
transcript.pyannote[1280].speaker SPEAKER_04
transcript.pyannote[1280].start 7079.73471875
transcript.pyannote[1280].end 7080.24096875
transcript.pyannote[1281].speaker SPEAKER_29
transcript.pyannote[1281].start 7086.65346875
transcript.pyannote[1281].end 7088.25659375
transcript.pyannote[1282].speaker SPEAKER_29
transcript.pyannote[1282].start 7088.54346875
transcript.pyannote[1282].end 7097.36909375
transcript.pyannote[1283].speaker SPEAKER_39
transcript.pyannote[1283].start 7088.61096875
transcript.pyannote[1283].end 7088.66159375
transcript.pyannote[1284].speaker SPEAKER_04
transcript.pyannote[1284].start 7088.66159375
transcript.pyannote[1284].end 7088.91471875
transcript.pyannote[1285].speaker SPEAKER_39
transcript.pyannote[1285].start 7088.91471875
transcript.pyannote[1285].end 7088.96534375
transcript.pyannote[1286].speaker SPEAKER_04
transcript.pyannote[1286].start 7088.96534375
transcript.pyannote[1286].end 7089.38721875
transcript.pyannote[1287].speaker SPEAKER_39
transcript.pyannote[1287].start 7089.38721875
transcript.pyannote[1287].end 7089.80909375
transcript.pyannote[1288].speaker SPEAKER_04
transcript.pyannote[1288].start 7089.80909375
transcript.pyannote[1288].end 7089.96096875
transcript.pyannote[1289].speaker SPEAKER_29
transcript.pyannote[1289].start 7098.55034375
transcript.pyannote[1289].end 7124.18346875
transcript.pyannote[1290].speaker SPEAKER_29
transcript.pyannote[1290].start 7124.94284375
transcript.pyannote[1290].end 7133.11034375
transcript.pyannote[1291].speaker SPEAKER_39
transcript.pyannote[1291].start 7129.44846875
transcript.pyannote[1291].end 7130.29221875
transcript.pyannote[1292].speaker SPEAKER_29
transcript.pyannote[1292].start 7133.58284375
transcript.pyannote[1292].end 7140.46784375
transcript.pyannote[1293].speaker SPEAKER_29
transcript.pyannote[1293].start 7140.90659375
transcript.pyannote[1293].end 7142.29034375
transcript.pyannote[1294].speaker SPEAKER_04
transcript.pyannote[1294].start 7142.86409375
transcript.pyannote[1294].end 7158.49034375
transcript.pyannote[1295].speaker SPEAKER_29
transcript.pyannote[1295].start 7142.93159375
transcript.pyannote[1295].end 7143.26909375
transcript.pyannote[1296].speaker SPEAKER_27
transcript.pyannote[1296].start 7157.41034375
transcript.pyannote[1296].end 7160.27909375
transcript.pyannote[1297].speaker SPEAKER_04
transcript.pyannote[1297].start 7158.97971875
transcript.pyannote[1297].end 7173.07034375
transcript.pyannote[1298].speaker SPEAKER_04
transcript.pyannote[1298].start 7173.25596875
transcript.pyannote[1298].end 7179.60096875
transcript.pyannote[1299].speaker SPEAKER_29
transcript.pyannote[1299].start 7177.86284375
transcript.pyannote[1299].end 7178.84159375
transcript.pyannote[1300].speaker SPEAKER_29
transcript.pyannote[1300].start 7179.95534375
transcript.pyannote[1300].end 7181.55846875
transcript.pyannote[1301].speaker SPEAKER_29
transcript.pyannote[1301].start 7181.84534375
transcript.pyannote[1301].end 7190.02971875
transcript.pyannote[1302].speaker SPEAKER_04
transcript.pyannote[1302].start 7182.40221875
transcript.pyannote[1302].end 7182.92534375
transcript.pyannote[1303].speaker SPEAKER_04
transcript.pyannote[1303].start 7186.68846875
transcript.pyannote[1303].end 7186.84034375
transcript.pyannote[1304].speaker SPEAKER_04
transcript.pyannote[1304].start 7190.02971875
transcript.pyannote[1304].end 7190.19846875
transcript.pyannote[1305].speaker SPEAKER_29
transcript.pyannote[1305].start 7190.19846875
transcript.pyannote[1305].end 7190.80596875
transcript.pyannote[1306].speaker SPEAKER_04
transcript.pyannote[1306].start 7190.80596875
transcript.pyannote[1306].end 7190.83971875
transcript.pyannote[1307].speaker SPEAKER_29
transcript.pyannote[1307].start 7190.83971875
transcript.pyannote[1307].end 7190.89034375
transcript.pyannote[1308].speaker SPEAKER_04
transcript.pyannote[1308].start 7190.89034375
transcript.pyannote[1308].end 7190.99159375
transcript.pyannote[1309].speaker SPEAKER_29
transcript.pyannote[1309].start 7190.99159375
transcript.pyannote[1309].end 7191.02534375
transcript.pyannote[1310].speaker SPEAKER_04
transcript.pyannote[1310].start 7191.02534375
transcript.pyannote[1310].end 7191.59909375
transcript.pyannote[1311].speaker SPEAKER_29
transcript.pyannote[1311].start 7191.59909375
transcript.pyannote[1311].end 7191.61596875
transcript.pyannote[1312].speaker SPEAKER_04
transcript.pyannote[1312].start 7191.61596875
transcript.pyannote[1312].end 7191.63284375
transcript.pyannote[1313].speaker SPEAKER_29
transcript.pyannote[1313].start 7191.63284375
transcript.pyannote[1313].end 7191.64971875
transcript.pyannote[1314].speaker SPEAKER_29
transcript.pyannote[1314].start 7191.91971875
transcript.pyannote[1314].end 7195.21034375
transcript.pyannote[1315].speaker SPEAKER_29
transcript.pyannote[1315].start 7196.03721875
transcript.pyannote[1315].end 7196.59409375
transcript.pyannote[1316].speaker SPEAKER_29
transcript.pyannote[1316].start 7197.11721875
transcript.pyannote[1316].end 7200.49221875
transcript.pyannote[1317].speaker SPEAKER_29
transcript.pyannote[1317].start 7200.79596875
transcript.pyannote[1317].end 7215.32534375
transcript.pyannote[1318].speaker SPEAKER_04
transcript.pyannote[1318].start 7215.67971875
transcript.pyannote[1318].end 7225.66971875
transcript.pyannote[1319].speaker SPEAKER_04
transcript.pyannote[1319].start 7225.85534375
transcript.pyannote[1319].end 7239.18659375
transcript.pyannote[1320].speaker SPEAKER_29
transcript.pyannote[1320].start 7237.07721875
transcript.pyannote[1320].end 7244.23221875
transcript.pyannote[1321].speaker SPEAKER_29
transcript.pyannote[1321].start 7245.05909375
transcript.pyannote[1321].end 7245.97034375
transcript.pyannote[1322].speaker SPEAKER_04
transcript.pyannote[1322].start 7245.97034375
transcript.pyannote[1322].end 7247.05034375
transcript.pyannote[1323].speaker SPEAKER_29
transcript.pyannote[1323].start 7246.15596875
transcript.pyannote[1323].end 7246.47659375
transcript.pyannote[1324].speaker SPEAKER_29
transcript.pyannote[1324].start 7246.52721875
transcript.pyannote[1324].end 7247.89409375
transcript.pyannote[1325].speaker SPEAKER_04
transcript.pyannote[1325].start 7247.89409375
transcript.pyannote[1325].end 7253.71596875
transcript.pyannote[1326].speaker SPEAKER_29
transcript.pyannote[1326].start 7252.99034375
transcript.pyannote[1326].end 7259.04846875
transcript.pyannote[1327].speaker SPEAKER_04
transcript.pyannote[1327].start 7258.54221875
transcript.pyannote[1327].end 7268.59971875
transcript.pyannote[1328].speaker SPEAKER_29
transcript.pyannote[1328].start 7267.03034375
transcript.pyannote[1328].end 7270.59096875
transcript.pyannote[1329].speaker SPEAKER_04
transcript.pyannote[1329].start 7269.96659375
transcript.pyannote[1329].end 7279.58534375
transcript.pyannote[1330].speaker SPEAKER_29
transcript.pyannote[1330].start 7277.52659375
transcript.pyannote[1330].end 7279.41659375
transcript.pyannote[1331].speaker SPEAKER_29
transcript.pyannote[1331].start 7279.93971875
transcript.pyannote[1331].end 7292.61284375
transcript.pyannote[1332].speaker SPEAKER_04
transcript.pyannote[1332].start 7293.13596875
transcript.pyannote[1332].end 7299.93659375
transcript.pyannote[1333].speaker SPEAKER_29
transcript.pyannote[1333].start 7296.17346875
transcript.pyannote[1333].end 7297.82721875
transcript.pyannote[1334].speaker SPEAKER_29
transcript.pyannote[1334].start 7299.12659375
transcript.pyannote[1334].end 7301.48909375
transcript.pyannote[1335].speaker SPEAKER_29
transcript.pyannote[1335].start 7302.11346875
transcript.pyannote[1335].end 7304.50971875
transcript.pyannote[1336].speaker SPEAKER_04
transcript.pyannote[1336].start 7303.36221875
transcript.pyannote[1336].end 7303.76721875
transcript.pyannote[1337].speaker SPEAKER_04
transcript.pyannote[1337].start 7303.96971875
transcript.pyannote[1337].end 7317.73971875
transcript.pyannote[1338].speaker SPEAKER_29
transcript.pyannote[1338].start 7316.62596875
transcript.pyannote[1338].end 7330.31159375
transcript.pyannote[1339].speaker SPEAKER_04
transcript.pyannote[1339].start 7321.35096875
transcript.pyannote[1339].end 7322.88659375
transcript.pyannote[1340].speaker SPEAKER_39
transcript.pyannote[1340].start 7322.88659375
transcript.pyannote[1340].end 7322.90346875
transcript.pyannote[1341].speaker SPEAKER_29
transcript.pyannote[1341].start 7330.76721875
transcript.pyannote[1341].end 7341.22971875
transcript.pyannote[1342].speaker SPEAKER_04
transcript.pyannote[1342].start 7331.86409375
transcript.pyannote[1342].end 7334.53034375
transcript.pyannote[1343].speaker SPEAKER_04
transcript.pyannote[1343].start 7341.41534375
transcript.pyannote[1343].end 7346.69721875
transcript.pyannote[1344].speaker SPEAKER_04
transcript.pyannote[1344].start 7347.65909375
transcript.pyannote[1344].end 7348.73909375
transcript.pyannote[1345].speaker SPEAKER_04
transcript.pyannote[1345].start 7348.89096875
transcript.pyannote[1345].end 7355.05034375
transcript.pyannote[1346].speaker SPEAKER_29
transcript.pyannote[1346].start 7350.47721875
transcript.pyannote[1346].end 7350.49409375
transcript.pyannote[1347].speaker SPEAKER_29
transcript.pyannote[1347].start 7350.54471875
transcript.pyannote[1347].end 7350.71346875
transcript.pyannote[1348].speaker SPEAKER_29
transcript.pyannote[1348].start 7353.64971875
transcript.pyannote[1348].end 7355.23596875
transcript.pyannote[1349].speaker SPEAKER_28
transcript.pyannote[1349].start 7355.23596875
transcript.pyannote[1349].end 7355.25284375
transcript.pyannote[1350].speaker SPEAKER_29
transcript.pyannote[1350].start 7355.25284375
transcript.pyannote[1350].end 7355.32034375
transcript.pyannote[1351].speaker SPEAKER_04
transcript.pyannote[1351].start 7355.32034375
transcript.pyannote[1351].end 7358.45909375
transcript.pyannote[1352].speaker SPEAKER_29
transcript.pyannote[1352].start 7355.48909375
transcript.pyannote[1352].end 7359.03284375
transcript.pyannote[1353].speaker SPEAKER_04
transcript.pyannote[1353].start 7359.03284375
transcript.pyannote[1353].end 7359.52221875
transcript.pyannote[1354].speaker SPEAKER_29
transcript.pyannote[1354].start 7359.04971875
transcript.pyannote[1354].end 7361.61471875
transcript.pyannote[1355].speaker SPEAKER_04
transcript.pyannote[1355].start 7362.07034375
transcript.pyannote[1355].end 7380.68346875
transcript.pyannote[1356].speaker SPEAKER_29
transcript.pyannote[1356].start 7363.90971875
transcript.pyannote[1356].end 7368.63471875
transcript.pyannote[1357].speaker SPEAKER_29
transcript.pyannote[1357].start 7372.17846875
transcript.pyannote[1357].end 7373.73096875
transcript.pyannote[1358].speaker SPEAKER_39
transcript.pyannote[1358].start 7373.73096875
transcript.pyannote[1358].end 7373.89971875
transcript.pyannote[1359].speaker SPEAKER_39
transcript.pyannote[1359].start 7373.95034375
transcript.pyannote[1359].end 7374.03471875
transcript.pyannote[1360].speaker SPEAKER_29
transcript.pyannote[1360].start 7374.03471875
transcript.pyannote[1360].end 7374.05159375
transcript.pyannote[1361].speaker SPEAKER_39
transcript.pyannote[1361].start 7374.05159375
transcript.pyannote[1361].end 7374.15284375
transcript.pyannote[1362].speaker SPEAKER_29
transcript.pyannote[1362].start 7374.15284375
transcript.pyannote[1362].end 7375.45221875
transcript.pyannote[1363].speaker SPEAKER_29
transcript.pyannote[1363].start 7380.04221875
transcript.pyannote[1363].end 7382.26971875
transcript.pyannote[1364].speaker SPEAKER_04
transcript.pyannote[1364].start 7383.09659375
transcript.pyannote[1364].end 7391.02784375
transcript.pyannote[1365].speaker SPEAKER_29
transcript.pyannote[1365].start 7390.48784375
transcript.pyannote[1365].end 7392.46221875
transcript.pyannote[1366].speaker SPEAKER_04
transcript.pyannote[1366].start 7392.56346875
transcript.pyannote[1366].end 7395.34784375
transcript.pyannote[1367].speaker SPEAKER_04
transcript.pyannote[1367].start 7395.65159375
transcript.pyannote[1367].end 7401.77721875
transcript.pyannote[1368].speaker SPEAKER_29
transcript.pyannote[1368].start 7401.08534375
transcript.pyannote[1368].end 7407.53159375
transcript.pyannote[1369].speaker SPEAKER_04
transcript.pyannote[1369].start 7407.14346875
transcript.pyannote[1369].end 7407.43034375
transcript.pyannote[1370].speaker SPEAKER_04
transcript.pyannote[1370].start 7407.53159375
transcript.pyannote[1370].end 7412.44221875
transcript.pyannote[1371].speaker SPEAKER_29
transcript.pyannote[1371].start 7407.83534375
transcript.pyannote[1371].end 7408.71284375
transcript.pyannote[1372].speaker SPEAKER_29
transcript.pyannote[1372].start 7411.17659375
transcript.pyannote[1372].end 7411.34534375
transcript.pyannote[1373].speaker SPEAKER_29
transcript.pyannote[1373].start 7412.59409375
transcript.pyannote[1373].end 7413.16784375
transcript.pyannote[1374].speaker SPEAKER_04
transcript.pyannote[1374].start 7415.17596875
transcript.pyannote[1374].end 7415.49659375
transcript.pyannote[1375].speaker SPEAKER_09
transcript.pyannote[1375].start 7415.49659375
transcript.pyannote[1375].end 7416.54284375
transcript.pyannote[1376].speaker SPEAKER_09
transcript.pyannote[1376].start 7418.51721875
transcript.pyannote[1376].end 7418.95596875
transcript.pyannote[1377].speaker SPEAKER_09
transcript.pyannote[1377].start 7420.01909375
transcript.pyannote[1377].end 7421.87534375
transcript.pyannote[1378].speaker SPEAKER_29
transcript.pyannote[1378].start 7427.98409375
transcript.pyannote[1378].end 7431.12284375
transcript.pyannote[1379].speaker SPEAKER_29
transcript.pyannote[1379].start 7431.34221875
transcript.pyannote[1379].end 7431.88221875
transcript.pyannote[1380].speaker SPEAKER_21
transcript.pyannote[1380].start 7432.57409375
transcript.pyannote[1380].end 7433.38409375
transcript.pyannote[1381].speaker SPEAKER_21
transcript.pyannote[1381].start 7433.53596875
transcript.pyannote[1381].end 7435.08846875
transcript.pyannote[1382].speaker SPEAKER_28
transcript.pyannote[1382].start 7435.25721875
transcript.pyannote[1382].end 7435.89846875
transcript.pyannote[1383].speaker SPEAKER_21
transcript.pyannote[1383].start 7442.69909375
transcript.pyannote[1383].end 7465.02471875
transcript.pyannote[1384].speaker SPEAKER_21
transcript.pyannote[1384].start 7465.22721875
transcript.pyannote[1384].end 7466.03721875
transcript.pyannote[1385].speaker SPEAKER_04
transcript.pyannote[1385].start 7466.03721875
transcript.pyannote[1385].end 7466.99909375
transcript.pyannote[1386].speaker SPEAKER_21
transcript.pyannote[1386].start 7466.99909375
transcript.pyannote[1386].end 7468.93971875
transcript.pyannote[1387].speaker SPEAKER_04
transcript.pyannote[1387].start 7467.03284375
transcript.pyannote[1387].end 7467.80909375
transcript.pyannote[1388].speaker SPEAKER_04
transcript.pyannote[1388].start 7468.39971875
transcript.pyannote[1388].end 7470.30659375
transcript.pyannote[1389].speaker SPEAKER_04
transcript.pyannote[1389].start 7470.86346875
transcript.pyannote[1389].end 7486.48971875
transcript.pyannote[1390].speaker SPEAKER_21
transcript.pyannote[1390].start 7481.56221875
transcript.pyannote[1390].end 7483.36784375
transcript.pyannote[1391].speaker SPEAKER_21
transcript.pyannote[1391].start 7484.22846875
transcript.pyannote[1391].end 7486.11846875
transcript.pyannote[1392].speaker SPEAKER_21
transcript.pyannote[1392].start 7486.48971875
transcript.pyannote[1392].end 7486.62471875
transcript.pyannote[1393].speaker SPEAKER_04
transcript.pyannote[1393].start 7486.62471875
transcript.pyannote[1393].end 7486.96221875
transcript.pyannote[1394].speaker SPEAKER_21
transcript.pyannote[1394].start 7486.96221875
transcript.pyannote[1394].end 7487.02971875
transcript.pyannote[1395].speaker SPEAKER_04
transcript.pyannote[1395].start 7487.02971875
transcript.pyannote[1395].end 7487.13096875
transcript.pyannote[1396].speaker SPEAKER_21
transcript.pyannote[1396].start 7487.13096875
transcript.pyannote[1396].end 7490.42159375
transcript.pyannote[1397].speaker SPEAKER_04
transcript.pyannote[1397].start 7487.18159375
transcript.pyannote[1397].end 7487.62034375
transcript.pyannote[1398].speaker SPEAKER_04
transcript.pyannote[1398].start 7489.99971875
transcript.pyannote[1398].end 7495.39971875
transcript.pyannote[1399].speaker SPEAKER_21
transcript.pyannote[1399].start 7491.14721875
transcript.pyannote[1399].end 7491.43409375
transcript.pyannote[1400].speaker SPEAKER_21
transcript.pyannote[1400].start 7493.94846875
transcript.pyannote[1400].end 7496.39534375
transcript.pyannote[1401].speaker SPEAKER_04
transcript.pyannote[1401].start 7495.88909375
transcript.pyannote[1401].end 7499.85471875
transcript.pyannote[1402].speaker SPEAKER_21
transcript.pyannote[1402].start 7498.52159375
transcript.pyannote[1402].end 7498.63971875
transcript.pyannote[1403].speaker SPEAKER_21
transcript.pyannote[1403].start 7499.60159375
transcript.pyannote[1403].end 7507.24596875
transcript.pyannote[1404].speaker SPEAKER_04
transcript.pyannote[1404].start 7507.48221875
transcript.pyannote[1404].end 7518.97409375
transcript.pyannote[1405].speaker SPEAKER_21
transcript.pyannote[1405].start 7518.97409375
transcript.pyannote[1405].end 7519.15971875
transcript.pyannote[1406].speaker SPEAKER_04
transcript.pyannote[1406].start 7519.15971875
transcript.pyannote[1406].end 7519.17659375
transcript.pyannote[1407].speaker SPEAKER_04
transcript.pyannote[1407].start 7519.37909375
transcript.pyannote[1407].end 7520.71221875
transcript.pyannote[1408].speaker SPEAKER_04
transcript.pyannote[1408].start 7520.88096875
transcript.pyannote[1408].end 7523.31096875
transcript.pyannote[1409].speaker SPEAKER_21
transcript.pyannote[1409].start 7523.31096875
transcript.pyannote[1409].end 7532.22096875
transcript.pyannote[1410].speaker SPEAKER_04
transcript.pyannote[1410].start 7527.04034375
transcript.pyannote[1410].end 7530.04409375
transcript.pyannote[1411].speaker SPEAKER_21
transcript.pyannote[1411].start 7532.96346875
transcript.pyannote[1411].end 7537.80659375
transcript.pyannote[1412].speaker SPEAKER_04
transcript.pyannote[1412].start 7536.84471875
transcript.pyannote[1412].end 7538.31284375
transcript.pyannote[1413].speaker SPEAKER_21
transcript.pyannote[1413].start 7538.31284375
transcript.pyannote[1413].end 7540.15221875
transcript.pyannote[1414].speaker SPEAKER_21
transcript.pyannote[1414].start 7540.84409375
transcript.pyannote[1414].end 7544.03346875
transcript.pyannote[1415].speaker SPEAKER_04
transcript.pyannote[1415].start 7544.03346875
transcript.pyannote[1415].end 7556.90909375
transcript.pyannote[1416].speaker SPEAKER_21
transcript.pyannote[1416].start 7556.90909375
transcript.pyannote[1416].end 7570.79721875
transcript.pyannote[1417].speaker SPEAKER_40
transcript.pyannote[1417].start 7561.75221875
transcript.pyannote[1417].end 7561.88721875
transcript.pyannote[1418].speaker SPEAKER_04
transcript.pyannote[1418].start 7561.88721875
transcript.pyannote[1418].end 7561.97159375
transcript.pyannote[1419].speaker SPEAKER_21
transcript.pyannote[1419].start 7571.16846875
transcript.pyannote[1419].end 7574.79659375
transcript.pyannote[1420].speaker SPEAKER_21
transcript.pyannote[1420].start 7574.84721875
transcript.pyannote[1420].end 7577.58096875
transcript.pyannote[1421].speaker SPEAKER_21
transcript.pyannote[1421].start 7577.80034375
transcript.pyannote[1421].end 7579.40346875
transcript.pyannote[1422].speaker SPEAKER_21
transcript.pyannote[1422].start 7579.82534375
transcript.pyannote[1422].end 7581.61409375
transcript.pyannote[1423].speaker SPEAKER_21
transcript.pyannote[1423].start 7582.10346875
transcript.pyannote[1423].end 7583.72346875
transcript.pyannote[1424].speaker SPEAKER_21
transcript.pyannote[1424].start 7584.09471875
transcript.pyannote[1424].end 7613.86221875
transcript.pyannote[1425].speaker SPEAKER_21
transcript.pyannote[1425].start 7614.08159375
transcript.pyannote[1425].end 7619.53221875
transcript.pyannote[1426].speaker SPEAKER_04
transcript.pyannote[1426].start 7619.54909375
transcript.pyannote[1426].end 7627.34534375
transcript.pyannote[1427].speaker SPEAKER_21
transcript.pyannote[1427].start 7625.82659375
transcript.pyannote[1427].end 7641.68909375
transcript.pyannote[1428].speaker SPEAKER_04
transcript.pyannote[1428].start 7629.10034375
transcript.pyannote[1428].end 7629.92721875
transcript.pyannote[1429].speaker SPEAKER_04
transcript.pyannote[1429].start 7632.69471875
transcript.pyannote[1429].end 7633.13346875
transcript.pyannote[1430].speaker SPEAKER_21
transcript.pyannote[1430].start 7642.16159375
transcript.pyannote[1430].end 7676.46846875
transcript.pyannote[1431].speaker SPEAKER_21
transcript.pyannote[1431].start 7676.70471875
transcript.pyannote[1431].end 7676.72159375
transcript.pyannote[1432].speaker SPEAKER_04
transcript.pyannote[1432].start 7676.72159375
transcript.pyannote[1432].end 7679.11784375
transcript.pyannote[1433].speaker SPEAKER_04
transcript.pyannote[1433].start 7679.65784375
transcript.pyannote[1433].end 7683.50534375
transcript.pyannote[1434].speaker SPEAKER_04
transcript.pyannote[1434].start 7683.55596875
transcript.pyannote[1434].end 7684.28159375
transcript.pyannote[1435].speaker SPEAKER_21
transcript.pyannote[1435].start 7683.65721875
transcript.pyannote[1435].end 7683.99471875
transcript.pyannote[1436].speaker SPEAKER_21
transcript.pyannote[1436].start 7684.28159375
transcript.pyannote[1436].end 7701.13971875
transcript.pyannote[1437].speaker SPEAKER_21
transcript.pyannote[1437].start 7701.20721875
transcript.pyannote[1437].end 7704.58221875
transcript.pyannote[1438].speaker SPEAKER_21
transcript.pyannote[1438].start 7704.91971875
transcript.pyannote[1438].end 7707.21471875
transcript.pyannote[1439].speaker SPEAKER_21
transcript.pyannote[1439].start 7707.40034375
transcript.pyannote[1439].end 7711.39971875
transcript.pyannote[1440].speaker SPEAKER_21
transcript.pyannote[1440].start 7711.75409375
transcript.pyannote[1440].end 7713.34034375
transcript.pyannote[1441].speaker SPEAKER_04
transcript.pyannote[1441].start 7715.41596875
transcript.pyannote[1441].end 7721.27159375
transcript.pyannote[1442].speaker SPEAKER_04
transcript.pyannote[1442].start 7721.47409375
transcript.pyannote[1442].end 7730.70471875
transcript.pyannote[1443].speaker SPEAKER_21
transcript.pyannote[1443].start 7730.38409375
transcript.pyannote[1443].end 7737.87659375
transcript.pyannote[1444].speaker SPEAKER_40
transcript.pyannote[1444].start 7737.80909375
transcript.pyannote[1444].end 7738.16346875
transcript.pyannote[1445].speaker SPEAKER_21
transcript.pyannote[1445].start 7738.11284375
transcript.pyannote[1445].end 7743.64784375
transcript.pyannote[1446].speaker SPEAKER_21
transcript.pyannote[1446].start 7743.98534375
transcript.pyannote[1446].end 7746.92159375
transcript.pyannote[1447].speaker SPEAKER_21
transcript.pyannote[1447].start 7747.93409375
transcript.pyannote[1447].end 7764.57284375
transcript.pyannote[1448].speaker SPEAKER_21
transcript.pyannote[1448].start 7764.94409375
transcript.pyannote[1448].end 7765.90596875
transcript.pyannote[1449].speaker SPEAKER_21
transcript.pyannote[1449].start 7766.37846875
transcript.pyannote[1449].end 7774.20846875
transcript.pyannote[1450].speaker SPEAKER_04
transcript.pyannote[1450].start 7774.54596875
transcript.pyannote[1450].end 7801.81596875
transcript.pyannote[1451].speaker SPEAKER_21
transcript.pyannote[1451].start 7783.45596875
transcript.pyannote[1451].end 7786.30784375
transcript.pyannote[1452].speaker SPEAKER_21
transcript.pyannote[1452].start 7791.35346875
transcript.pyannote[1452].end 7791.87659375
transcript.pyannote[1453].speaker SPEAKER_21
transcript.pyannote[1453].start 7793.49659375
transcript.pyannote[1453].end 7796.65221875
transcript.pyannote[1454].speaker SPEAKER_29
transcript.pyannote[1454].start 7809.47721875
transcript.pyannote[1454].end 7810.97909375
transcript.pyannote[1455].speaker SPEAKER_11
transcript.pyannote[1455].start 7817.17221875
transcript.pyannote[1455].end 7818.87659375
transcript.pyannote[1456].speaker SPEAKER_28
transcript.pyannote[1456].start 7819.07909375
transcript.pyannote[1456].end 7819.73721875
transcript.pyannote[1457].speaker SPEAKER_11
transcript.pyannote[1457].start 7820.31096875
transcript.pyannote[1457].end 7820.44596875
transcript.pyannote[1458].speaker SPEAKER_11
transcript.pyannote[1458].start 7825.67721875
transcript.pyannote[1458].end 7832.24159375
transcript.pyannote[1459].speaker SPEAKER_11
transcript.pyannote[1459].start 7833.01784375
transcript.pyannote[1459].end 7836.54471875
transcript.pyannote[1460].speaker SPEAKER_04
transcript.pyannote[1460].start 7836.89909375
transcript.pyannote[1460].end 7845.50534375
transcript.pyannote[1461].speaker SPEAKER_11
transcript.pyannote[1461].start 7841.16846875
transcript.pyannote[1461].end 7870.56471875
transcript.pyannote[1462].speaker SPEAKER_04
transcript.pyannote[1462].start 7848.01971875
transcript.pyannote[1462].end 7849.84221875
transcript.pyannote[1463].speaker SPEAKER_04
transcript.pyannote[1463].start 7858.61721875
transcript.pyannote[1463].end 7858.80284375
transcript.pyannote[1464].speaker SPEAKER_41
transcript.pyannote[1464].start 7861.46909375
transcript.pyannote[1464].end 7861.87409375
transcript.pyannote[1465].speaker SPEAKER_11
transcript.pyannote[1465].start 7870.76721875
transcript.pyannote[1465].end 7894.15596875
transcript.pyannote[1466].speaker SPEAKER_07
transcript.pyannote[1466].start 7874.02409375
transcript.pyannote[1466].end 7874.42909375
transcript.pyannote[1467].speaker SPEAKER_11
transcript.pyannote[1467].start 7894.42596875
transcript.pyannote[1467].end 7895.37096875
transcript.pyannote[1468].speaker SPEAKER_11
transcript.pyannote[1468].start 7895.80971875
transcript.pyannote[1468].end 7914.45659375
transcript.pyannote[1469].speaker SPEAKER_40
transcript.pyannote[1469].start 7901.73284375
transcript.pyannote[1469].end 7901.81721875
transcript.pyannote[1470].speaker SPEAKER_40
transcript.pyannote[1470].start 7902.74534375
transcript.pyannote[1470].end 7903.20096875
transcript.pyannote[1471].speaker SPEAKER_11
transcript.pyannote[1471].start 7914.94596875
transcript.pyannote[1471].end 7926.85971875
transcript.pyannote[1472].speaker SPEAKER_00
transcript.pyannote[1472].start 7925.22284375
transcript.pyannote[1472].end 7925.66159375
transcript.pyannote[1473].speaker SPEAKER_11
transcript.pyannote[1473].start 7927.26471875
transcript.pyannote[1473].end 7931.17971875
transcript.pyannote[1474].speaker SPEAKER_11
transcript.pyannote[1474].start 7931.38221875
transcript.pyannote[1474].end 7931.48346875
transcript.pyannote[1475].speaker SPEAKER_04
transcript.pyannote[1475].start 7931.48346875
transcript.pyannote[1475].end 7937.28846875
transcript.pyannote[1476].speaker SPEAKER_04
transcript.pyannote[1476].start 7937.60909375
transcript.pyannote[1476].end 7941.13596875
transcript.pyannote[1477].speaker SPEAKER_04
transcript.pyannote[1477].start 7941.57471875
transcript.pyannote[1477].end 7950.92346875
transcript.pyannote[1478].speaker SPEAKER_11
transcript.pyannote[1478].start 7950.65346875
transcript.pyannote[1478].end 7950.85596875
transcript.pyannote[1479].speaker SPEAKER_11
transcript.pyannote[1479].start 7950.92346875
transcript.pyannote[1479].end 7953.23534375
transcript.pyannote[1480].speaker SPEAKER_04
transcript.pyannote[1480].start 7951.48034375
transcript.pyannote[1480].end 7970.02596875
transcript.pyannote[1481].speaker SPEAKER_11
transcript.pyannote[1481].start 7954.01159375
transcript.pyannote[1481].end 7956.03659375
transcript.pyannote[1482].speaker SPEAKER_11
transcript.pyannote[1482].start 7970.02596875
transcript.pyannote[1482].end 7979.96534375
transcript.pyannote[1483].speaker SPEAKER_04
transcript.pyannote[1483].start 7970.80221875
transcript.pyannote[1483].end 7970.97096875
transcript.pyannote[1484].speaker SPEAKER_05
transcript.pyannote[1484].start 7970.97096875
transcript.pyannote[1484].end 7971.57846875
transcript.pyannote[1485].speaker SPEAKER_04
transcript.pyannote[1485].start 7971.57846875
transcript.pyannote[1485].end 7971.61221875
transcript.pyannote[1486].speaker SPEAKER_05
transcript.pyannote[1486].start 7975.74659375
transcript.pyannote[1486].end 7976.03346875
transcript.pyannote[1487].speaker SPEAKER_04
transcript.pyannote[1487].start 7979.96534375
transcript.pyannote[1487].end 7981.28159375
transcript.pyannote[1488].speaker SPEAKER_04
transcript.pyannote[1488].start 7982.19284375
transcript.pyannote[1488].end 7986.88409375
transcript.pyannote[1489].speaker SPEAKER_04
transcript.pyannote[1489].start 7986.96846875
transcript.pyannote[1489].end 8009.85096875
transcript.pyannote[1490].speaker SPEAKER_11
transcript.pyannote[1490].start 8009.63159375
transcript.pyannote[1490].end 8031.70409375
transcript.pyannote[1491].speaker SPEAKER_04
transcript.pyannote[1491].start 8012.19659375
transcript.pyannote[1491].end 8012.63534375
transcript.pyannote[1492].speaker SPEAKER_04
transcript.pyannote[1492].start 8014.77846875
transcript.pyannote[1492].end 8015.92596875
transcript.pyannote[1493].speaker SPEAKER_04
transcript.pyannote[1493].start 8031.70409375
transcript.pyannote[1493].end 8031.72096875
transcript.pyannote[1494].speaker SPEAKER_04
transcript.pyannote[1494].start 8033.00346875
transcript.pyannote[1494].end 8053.60784375
transcript.pyannote[1495].speaker SPEAKER_11
transcript.pyannote[1495].start 8053.60784375
transcript.pyannote[1495].end 8053.67534375
transcript.pyannote[1496].speaker SPEAKER_04
transcript.pyannote[1496].start 8053.67534375
transcript.pyannote[1496].end 8053.69221875
transcript.pyannote[1497].speaker SPEAKER_11
transcript.pyannote[1497].start 8053.69221875
transcript.pyannote[1497].end 8053.74284375
transcript.pyannote[1498].speaker SPEAKER_11
transcript.pyannote[1498].start 8053.82721875
transcript.pyannote[1498].end 8079.39284375
transcript.pyannote[1499].speaker SPEAKER_38
transcript.pyannote[1499].start 8057.03346875
transcript.pyannote[1499].end 8057.45534375
transcript.pyannote[1500].speaker SPEAKER_05
transcript.pyannote[1500].start 8057.45534375
transcript.pyannote[1500].end 8057.47221875
transcript.pyannote[1501].speaker SPEAKER_11
transcript.pyannote[1501].start 8079.40971875
transcript.pyannote[1501].end 8083.79721875
transcript.pyannote[1502].speaker SPEAKER_11
transcript.pyannote[1502].start 8084.01659375
transcript.pyannote[1502].end 8090.36159375
transcript.pyannote[1503].speaker SPEAKER_04
transcript.pyannote[1503].start 8090.36159375
transcript.pyannote[1503].end 8105.97096875
transcript.pyannote[1504].speaker SPEAKER_11
transcript.pyannote[1504].start 8105.97096875
transcript.pyannote[1504].end 8122.96409375
transcript.pyannote[1505].speaker SPEAKER_04
transcript.pyannote[1505].start 8106.42659375
transcript.pyannote[1505].end 8107.96221875
transcript.pyannote[1506].speaker SPEAKER_08
transcript.pyannote[1506].start 8107.96221875
transcript.pyannote[1506].end 8108.62034375
transcript.pyannote[1507].speaker SPEAKER_04
transcript.pyannote[1507].start 8122.96409375
transcript.pyannote[1507].end 8140.98659375
transcript.pyannote[1508].speaker SPEAKER_11
transcript.pyannote[1508].start 8140.34534375
transcript.pyannote[1508].end 8161.01721875
transcript.pyannote[1509].speaker SPEAKER_04
transcript.pyannote[1509].start 8144.91846875
transcript.pyannote[1509].end 8145.39096875
transcript.pyannote[1510].speaker SPEAKER_04
transcript.pyannote[1510].start 8145.93096875
transcript.pyannote[1510].end 8147.43284375
transcript.pyannote[1511].speaker SPEAKER_00
transcript.pyannote[1511].start 8152.84971875
transcript.pyannote[1511].end 8152.86659375
transcript.pyannote[1512].speaker SPEAKER_22
transcript.pyannote[1512].start 8152.86659375
transcript.pyannote[1512].end 8153.03534375
transcript.pyannote[1513].speaker SPEAKER_38
transcript.pyannote[1513].start 8153.03534375
transcript.pyannote[1513].end 8153.71034375
transcript.pyannote[1514].speaker SPEAKER_11
transcript.pyannote[1514].start 8161.50659375
transcript.pyannote[1514].end 8163.49784375
transcript.pyannote[1515].speaker SPEAKER_11
transcript.pyannote[1515].start 8163.63284375
transcript.pyannote[1515].end 8163.64971875
transcript.pyannote[1516].speaker SPEAKER_04
transcript.pyannote[1516].start 8163.64971875
transcript.pyannote[1516].end 8178.56721875
transcript.pyannote[1517].speaker SPEAKER_11
transcript.pyannote[1517].start 8178.01034375
transcript.pyannote[1517].end 8211.89534375
transcript.pyannote[1518].speaker SPEAKER_04
transcript.pyannote[1518].start 8181.50346875
transcript.pyannote[1518].end 8181.95909375
transcript.pyannote[1519].speaker SPEAKER_04
transcript.pyannote[1519].start 8214.15659375
transcript.pyannote[1519].end 8218.86471875
transcript.pyannote[1520].speaker SPEAKER_04
transcript.pyannote[1520].start 8219.38784375
transcript.pyannote[1520].end 8227.25159375
transcript.pyannote[1521].speaker SPEAKER_04
transcript.pyannote[1521].start 8227.50471875
transcript.pyannote[1521].end 8237.76471875
transcript.pyannote[1522].speaker SPEAKER_11
transcript.pyannote[1522].start 8229.78284375
transcript.pyannote[1522].end 8231.55471875
transcript.pyannote[1523].speaker SPEAKER_11
transcript.pyannote[1523].start 8237.03909375
transcript.pyannote[1523].end 8247.23159375
transcript.pyannote[1524].speaker SPEAKER_04
transcript.pyannote[1524].start 8238.65909375
transcript.pyannote[1524].end 8241.81471875
transcript.pyannote[1525].speaker SPEAKER_04
transcript.pyannote[1525].start 8245.44284375
transcript.pyannote[1525].end 8250.04971875
transcript.pyannote[1526].speaker SPEAKER_11
transcript.pyannote[1526].start 8247.78846875
transcript.pyannote[1526].end 8256.32721875
transcript.pyannote[1527].speaker SPEAKER_31
transcript.pyannote[1527].start 8255.85471875
transcript.pyannote[1527].end 8259.63471875
transcript.pyannote[1528].speaker SPEAKER_11
transcript.pyannote[1528].start 8257.01909375
transcript.pyannote[1528].end 8258.45346875
transcript.pyannote[1529].speaker SPEAKER_31
transcript.pyannote[1529].start 8260.25909375
transcript.pyannote[1529].end 8264.61284375
transcript.pyannote[1530].speaker SPEAKER_31
transcript.pyannote[1530].start 8264.88284375
transcript.pyannote[1530].end 8266.68846875
transcript.pyannote[1531].speaker SPEAKER_31
transcript.pyannote[1531].start 8267.04284375
transcript.pyannote[1531].end 8269.81034375
transcript.pyannote[1532].speaker SPEAKER_31
transcript.pyannote[1532].start 8269.91159375
transcript.pyannote[1532].end 8277.60659375
transcript.pyannote[1533].speaker SPEAKER_11
transcript.pyannote[1533].start 8277.45471875
transcript.pyannote[1533].end 8297.09721875
transcript.pyannote[1534].speaker SPEAKER_31
transcript.pyannote[1534].start 8280.52596875
transcript.pyannote[1534].end 8280.76221875
transcript.pyannote[1535].speaker SPEAKER_38
transcript.pyannote[1535].start 8280.76221875
transcript.pyannote[1535].end 8280.81284375
transcript.pyannote[1536].speaker SPEAKER_38
transcript.pyannote[1536].start 8287.68096875
transcript.pyannote[1536].end 8287.95096875
transcript.pyannote[1537].speaker SPEAKER_40
transcript.pyannote[1537].start 8287.95096875
transcript.pyannote[1537].end 8287.96784375
transcript.pyannote[1538].speaker SPEAKER_04
transcript.pyannote[1538].start 8290.97159375
transcript.pyannote[1538].end 8291.76471875
transcript.pyannote[1539].speaker SPEAKER_40
transcript.pyannote[1539].start 8291.76471875
transcript.pyannote[1539].end 8291.79846875
transcript.pyannote[1540].speaker SPEAKER_04
transcript.pyannote[1540].start 8292.38909375
transcript.pyannote[1540].end 8292.54096875
transcript.pyannote[1541].speaker SPEAKER_04
transcript.pyannote[1541].start 8296.84409375
transcript.pyannote[1541].end 8312.72346875
transcript.pyannote[1542].speaker SPEAKER_11
transcript.pyannote[1542].start 8311.89659375
transcript.pyannote[1542].end 8348.95409375
transcript.pyannote[1543].speaker SPEAKER_04
transcript.pyannote[1543].start 8314.32659375
transcript.pyannote[1543].end 8315.57534375
transcript.pyannote[1544].speaker SPEAKER_04
transcript.pyannote[1544].start 8317.14471875
transcript.pyannote[1544].end 8317.60034375
transcript.pyannote[1545].speaker SPEAKER_04
transcript.pyannote[1545].start 8320.43534375
transcript.pyannote[1545].end 8320.85721875
transcript.pyannote[1546].speaker SPEAKER_04
transcript.pyannote[1546].start 8338.18784375
transcript.pyannote[1546].end 8339.87534375
transcript.pyannote[1547].speaker SPEAKER_16
transcript.pyannote[1547].start 8347.23284375
transcript.pyannote[1547].end 8347.28346875
transcript.pyannote[1548].speaker SPEAKER_40
transcript.pyannote[1548].start 8347.28346875
transcript.pyannote[1548].end 8347.46909375
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 8347.46909375
transcript.pyannote[1549].end 8347.57034375
transcript.pyannote[1550].speaker SPEAKER_16
transcript.pyannote[1550].start 8347.57034375
transcript.pyannote[1550].end 8347.65471875
transcript.pyannote[1551].speaker SPEAKER_16
transcript.pyannote[1551].start 8347.99221875
transcript.pyannote[1551].end 8348.56596875
transcript.pyannote[1552].speaker SPEAKER_36
transcript.pyannote[1552].start 8355.68721875
transcript.pyannote[1552].end 8356.58159375
transcript.pyannote[1553].speaker SPEAKER_29
transcript.pyannote[1553].start 8683.73721875
transcript.pyannote[1553].end 8684.93534375
transcript.pyannote[1554].speaker SPEAKER_29
transcript.pyannote[1554].start 8684.95221875
transcript.pyannote[1554].end 8684.96909375
transcript.pyannote[1555].speaker SPEAKER_29
transcript.pyannote[1555].start 8684.98596875
transcript.pyannote[1555].end 8686.82534375
transcript.pyannote[1556].speaker SPEAKER_24
transcript.pyannote[1556].start 8698.24971875
transcript.pyannote[1556].end 8700.49409375
transcript.pyannote[1557].speaker SPEAKER_24
transcript.pyannote[1557].start 8700.62909375
transcript.pyannote[1557].end 8702.13096875
transcript.pyannote[1558].speaker SPEAKER_24
transcript.pyannote[1558].start 8706.40034375
transcript.pyannote[1558].end 8706.41721875
transcript.pyannote[1559].speaker SPEAKER_25
transcript.pyannote[1559].start 8706.41721875
transcript.pyannote[1559].end 8708.13846875
transcript.pyannote[1560].speaker SPEAKER_25
transcript.pyannote[1560].start 8708.57721875
transcript.pyannote[1560].end 8709.35346875
transcript.pyannote[1561].speaker SPEAKER_07
transcript.pyannote[1561].start 8708.66159375
transcript.pyannote[1561].end 8708.67846875
transcript.pyannote[1562].speaker SPEAKER_04
transcript.pyannote[1562].start 8708.67846875
transcript.pyannote[1562].end 8708.69534375
transcript.pyannote[1563].speaker SPEAKER_07
transcript.pyannote[1563].start 8708.69534375
transcript.pyannote[1563].end 8708.74596875
transcript.pyannote[1564].speaker SPEAKER_04
transcript.pyannote[1564].start 8708.74596875
transcript.pyannote[1564].end 8709.13409375
transcript.pyannote[1565].speaker SPEAKER_04
transcript.pyannote[1565].start 8710.34909375
transcript.pyannote[1565].end 8710.39971875
transcript.pyannote[1566].speaker SPEAKER_07
transcript.pyannote[1566].start 8710.39971875
transcript.pyannote[1566].end 8710.83846875
transcript.pyannote[1567].speaker SPEAKER_25
transcript.pyannote[1567].start 8712.00284375
transcript.pyannote[1567].end 8712.32346875
transcript.pyannote[1568].speaker SPEAKER_25
transcript.pyannote[1568].start 8712.50909375
transcript.pyannote[1568].end 8713.11659375
transcript.pyannote[1569].speaker SPEAKER_25
transcript.pyannote[1569].start 8714.04471875
transcript.pyannote[1569].end 8717.57159375
transcript.pyannote[1570].speaker SPEAKER_25
transcript.pyannote[1570].start 8717.65596875
transcript.pyannote[1570].end 8735.72909375
transcript.pyannote[1571].speaker SPEAKER_25
transcript.pyannote[1571].start 8736.18471875
transcript.pyannote[1571].end 8736.85971875
transcript.pyannote[1572].speaker SPEAKER_25
transcript.pyannote[1572].start 8737.19721875
transcript.pyannote[1572].end 8738.02409375
transcript.pyannote[1573].speaker SPEAKER_25
transcript.pyannote[1573].start 8738.31096875
transcript.pyannote[1573].end 8741.09534375
transcript.pyannote[1574].speaker SPEAKER_04
transcript.pyannote[1574].start 8741.60159375
transcript.pyannote[1574].end 8762.00346875
transcript.pyannote[1575].speaker SPEAKER_25
transcript.pyannote[1575].start 8762.84721875
transcript.pyannote[1575].end 8763.20159375
transcript.pyannote[1576].speaker SPEAKER_25
transcript.pyannote[1576].start 8763.45471875
transcript.pyannote[1576].end 8765.49659375
transcript.pyannote[1577].speaker SPEAKER_04
transcript.pyannote[1577].start 8766.17159375
transcript.pyannote[1577].end 8766.76221875
transcript.pyannote[1578].speaker SPEAKER_04
transcript.pyannote[1578].start 8767.15034375
transcript.pyannote[1578].end 8777.34284375
transcript.pyannote[1579].speaker SPEAKER_04
transcript.pyannote[1579].start 8778.13596875
transcript.pyannote[1579].end 8780.43096875
transcript.pyannote[1580].speaker SPEAKER_04
transcript.pyannote[1580].start 8780.48159375
transcript.pyannote[1580].end 8784.39659375
transcript.pyannote[1581].speaker SPEAKER_04
transcript.pyannote[1581].start 8784.63284375
transcript.pyannote[1581].end 8804.24159375
transcript.pyannote[1582].speaker SPEAKER_25
transcript.pyannote[1582].start 8800.30971875
transcript.pyannote[1582].end 8808.44346875
transcript.pyannote[1583].speaker SPEAKER_04
transcript.pyannote[1583].start 8808.29159375
transcript.pyannote[1583].end 8814.40034375
transcript.pyannote[1584].speaker SPEAKER_25
transcript.pyannote[1584].start 8814.18096875
transcript.pyannote[1584].end 8817.94409375
transcript.pyannote[1585].speaker SPEAKER_25
transcript.pyannote[1585].start 8818.24784375
transcript.pyannote[1585].end 8820.76221875
transcript.pyannote[1586].speaker SPEAKER_04
transcript.pyannote[1586].start 8820.27284375
transcript.pyannote[1586].end 8827.63034375
transcript.pyannote[1587].speaker SPEAKER_04
transcript.pyannote[1587].start 8827.81596875
transcript.pyannote[1587].end 8845.23096875
transcript.pyannote[1588].speaker SPEAKER_25
transcript.pyannote[1588].start 8843.22284375
transcript.pyannote[1588].end 8844.08346875
transcript.pyannote[1589].speaker SPEAKER_25
transcript.pyannote[1589].start 8845.24784375
transcript.pyannote[1589].end 8850.10784375
transcript.pyannote[1590].speaker SPEAKER_25
transcript.pyannote[1590].start 8850.32721875
transcript.pyannote[1590].end 8857.43159375
transcript.pyannote[1591].speaker SPEAKER_04
transcript.pyannote[1591].start 8851.06971875
transcript.pyannote[1591].end 8855.01846875
transcript.pyannote[1592].speaker SPEAKER_41
transcript.pyannote[1592].start 8856.13221875
transcript.pyannote[1592].end 8856.14909375
transcript.pyannote[1593].speaker SPEAKER_04
transcript.pyannote[1593].start 8856.14909375
transcript.pyannote[1593].end 8857.56659375
transcript.pyannote[1594].speaker SPEAKER_25
transcript.pyannote[1594].start 8857.56659375
transcript.pyannote[1594].end 8858.68034375
transcript.pyannote[1595].speaker SPEAKER_04
transcript.pyannote[1595].start 8857.71846875
transcript.pyannote[1595].end 8858.39346875
transcript.pyannote[1596].speaker SPEAKER_25
transcript.pyannote[1596].start 8859.18659375
transcript.pyannote[1596].end 8860.89096875
transcript.pyannote[1597].speaker SPEAKER_04
transcript.pyannote[1597].start 8861.19471875
transcript.pyannote[1597].end 8884.29659375
transcript.pyannote[1598].speaker SPEAKER_25
transcript.pyannote[1598].start 8884.81971875
transcript.pyannote[1598].end 8888.27909375
transcript.pyannote[1599].speaker SPEAKER_25
transcript.pyannote[1599].start 8889.71346875
transcript.pyannote[1599].end 8891.43471875
transcript.pyannote[1600].speaker SPEAKER_07
transcript.pyannote[1600].start 8891.90721875
transcript.pyannote[1600].end 8892.34596875
transcript.pyannote[1601].speaker SPEAKER_25
transcript.pyannote[1601].start 8893.03784375
transcript.pyannote[1601].end 8894.23596875
transcript.pyannote[1602].speaker SPEAKER_25
transcript.pyannote[1602].start 8894.60721875
transcript.pyannote[1602].end 8895.51846875
transcript.pyannote[1603].speaker SPEAKER_25
transcript.pyannote[1603].start 8895.94034375
transcript.pyannote[1603].end 8896.93596875
transcript.pyannote[1604].speaker SPEAKER_25
transcript.pyannote[1604].start 8897.96534375
transcript.pyannote[1604].end 8904.76596875
transcript.pyannote[1605].speaker SPEAKER_25
transcript.pyannote[1605].start 8905.93034375
transcript.pyannote[1605].end 8906.36909375
transcript.pyannote[1606].speaker SPEAKER_25
transcript.pyannote[1606].start 8907.04409375
transcript.pyannote[1606].end 8910.62159375
transcript.pyannote[1607].speaker SPEAKER_04
transcript.pyannote[1607].start 8910.03096875
transcript.pyannote[1607].end 8910.43596875
transcript.pyannote[1608].speaker SPEAKER_25
transcript.pyannote[1608].start 8910.65534375
transcript.pyannote[1608].end 8911.73534375
transcript.pyannote[1609].speaker SPEAKER_04
transcript.pyannote[1609].start 8911.97159375
transcript.pyannote[1609].end 8912.69721875
transcript.pyannote[1610].speaker SPEAKER_25
transcript.pyannote[1610].start 8912.83221875
transcript.pyannote[1610].end 8913.50721875
transcript.pyannote[1611].speaker SPEAKER_25
transcript.pyannote[1611].start 8913.97971875
transcript.pyannote[1611].end 8914.77284375
transcript.pyannote[1612].speaker SPEAKER_25
transcript.pyannote[1612].start 8915.26221875
transcript.pyannote[1612].end 8916.22409375
transcript.pyannote[1613].speaker SPEAKER_25
transcript.pyannote[1613].start 8916.71346875
transcript.pyannote[1613].end 8920.93221875
transcript.pyannote[1614].speaker SPEAKER_25
transcript.pyannote[1614].start 8921.37096875
transcript.pyannote[1614].end 8921.86034375
transcript.pyannote[1615].speaker SPEAKER_25
transcript.pyannote[1615].start 8922.60284375
transcript.pyannote[1615].end 8925.10034375
transcript.pyannote[1616].speaker SPEAKER_08
transcript.pyannote[1616].start 8925.89346875
transcript.pyannote[1616].end 8926.21409375
transcript.pyannote[1617].speaker SPEAKER_25
transcript.pyannote[1617].start 8926.83846875
transcript.pyannote[1617].end 8928.40784375
transcript.pyannote[1618].speaker SPEAKER_25
transcript.pyannote[1618].start 8928.71159375
transcript.pyannote[1618].end 8931.61409375
transcript.pyannote[1619].speaker SPEAKER_25
transcript.pyannote[1619].start 8931.95159375
transcript.pyannote[1619].end 8933.63909375
transcript.pyannote[1620].speaker SPEAKER_04
transcript.pyannote[1620].start 8934.29721875
transcript.pyannote[1620].end 8935.96784375
transcript.pyannote[1621].speaker SPEAKER_25
transcript.pyannote[1621].start 8935.66409375
transcript.pyannote[1621].end 8939.34284375
transcript.pyannote[1622].speaker SPEAKER_42
transcript.pyannote[1622].start 8935.96784375
transcript.pyannote[1622].end 8936.08596875
transcript.pyannote[1623].speaker SPEAKER_04
transcript.pyannote[1623].start 8936.08596875
transcript.pyannote[1623].end 8936.15346875
transcript.pyannote[1624].speaker SPEAKER_42
transcript.pyannote[1624].start 8939.47784375
transcript.pyannote[1624].end 8941.03034375
transcript.pyannote[1625].speaker SPEAKER_42
transcript.pyannote[1625].start 8941.30034375
transcript.pyannote[1625].end 8944.13534375
transcript.pyannote[1626].speaker SPEAKER_25
transcript.pyannote[1626].start 8944.21971875
transcript.pyannote[1626].end 8944.60784375
transcript.pyannote[1627].speaker SPEAKER_42
transcript.pyannote[1627].start 8944.60784375
transcript.pyannote[1627].end 8950.27784375
transcript.pyannote[1628].speaker SPEAKER_25
transcript.pyannote[1628].start 8946.95346875
transcript.pyannote[1628].end 8947.08846875
transcript.pyannote[1629].speaker SPEAKER_25
transcript.pyannote[1629].start 8950.07534375
transcript.pyannote[1629].end 8952.92721875
transcript.pyannote[1630].speaker SPEAKER_25
transcript.pyannote[1630].start 8953.56846875
transcript.pyannote[1630].end 8964.08159375
transcript.pyannote[1631].speaker SPEAKER_25
transcript.pyannote[1631].start 8964.46971875
transcript.pyannote[1631].end 8975.03346875
transcript.pyannote[1632].speaker SPEAKER_04
transcript.pyannote[1632].start 8975.11784375
transcript.pyannote[1632].end 8976.97409375
transcript.pyannote[1633].speaker SPEAKER_04
transcript.pyannote[1633].start 8977.19346875
transcript.pyannote[1633].end 8979.40409375
transcript.pyannote[1634].speaker SPEAKER_04
transcript.pyannote[1634].start 8979.82596875
transcript.pyannote[1634].end 8982.17159375
transcript.pyannote[1635].speaker SPEAKER_04
transcript.pyannote[1635].start 8982.54284375
transcript.pyannote[1635].end 8999.24909375
transcript.pyannote[1636].speaker SPEAKER_04
transcript.pyannote[1636].start 8999.55284375
transcript.pyannote[1636].end 9003.07971875
transcript.pyannote[1637].speaker SPEAKER_04
transcript.pyannote[1637].start 9003.38346875
transcript.pyannote[1637].end 9005.15534375
transcript.pyannote[1638].speaker SPEAKER_25
transcript.pyannote[1638].start 9005.54346875
transcript.pyannote[1638].end 9005.96534375
transcript.pyannote[1639].speaker SPEAKER_25
transcript.pyannote[1639].start 9006.60659375
transcript.pyannote[1639].end 9008.31096875
transcript.pyannote[1640].speaker SPEAKER_25
transcript.pyannote[1640].start 9008.91846875
transcript.pyannote[1640].end 9009.69471875
transcript.pyannote[1641].speaker SPEAKER_25
transcript.pyannote[1641].start 9010.15034375
transcript.pyannote[1641].end 9011.06159375
transcript.pyannote[1642].speaker SPEAKER_25
transcript.pyannote[1642].start 9011.36534375
transcript.pyannote[1642].end 9012.25971875
transcript.pyannote[1643].speaker SPEAKER_25
transcript.pyannote[1643].start 9012.59721875
transcript.pyannote[1643].end 9016.73159375
transcript.pyannote[1644].speaker SPEAKER_25
transcript.pyannote[1644].start 9017.33909375
transcript.pyannote[1644].end 9018.65534375
transcript.pyannote[1645].speaker SPEAKER_25
transcript.pyannote[1645].start 9019.17846875
transcript.pyannote[1645].end 9022.35096875
transcript.pyannote[1646].speaker SPEAKER_25
transcript.pyannote[1646].start 9022.67159375
transcript.pyannote[1646].end 9031.90221875
transcript.pyannote[1647].speaker SPEAKER_07
transcript.pyannote[1647].start 9031.90221875
transcript.pyannote[1647].end 9032.29034375
transcript.pyannote[1648].speaker SPEAKER_25
transcript.pyannote[1648].start 9032.79659375
transcript.pyannote[1648].end 9033.55596875
transcript.pyannote[1649].speaker SPEAKER_25
transcript.pyannote[1649].start 9034.07909375
transcript.pyannote[1649].end 9035.39534375
transcript.pyannote[1650].speaker SPEAKER_25
transcript.pyannote[1650].start 9035.91846875
transcript.pyannote[1650].end 9037.63971875
transcript.pyannote[1651].speaker SPEAKER_07
transcript.pyannote[1651].start 9037.84221875
transcript.pyannote[1651].end 9038.12909375
transcript.pyannote[1652].speaker SPEAKER_25
transcript.pyannote[1652].start 9038.83784375
transcript.pyannote[1652].end 9040.72784375
transcript.pyannote[1653].speaker SPEAKER_25
transcript.pyannote[1653].start 9041.31846875
transcript.pyannote[1653].end 9045.75659375
transcript.pyannote[1654].speaker SPEAKER_25
transcript.pyannote[1654].start 9046.19534375
transcript.pyannote[1654].end 9052.15221875
transcript.pyannote[1655].speaker SPEAKER_04
transcript.pyannote[1655].start 9052.38846875
transcript.pyannote[1655].end 9055.88159375
transcript.pyannote[1656].speaker SPEAKER_04
transcript.pyannote[1656].start 9056.30346875
transcript.pyannote[1656].end 9063.69471875
transcript.pyannote[1657].speaker SPEAKER_04
transcript.pyannote[1657].start 9063.76221875
transcript.pyannote[1657].end 9074.71409375
transcript.pyannote[1658].speaker SPEAKER_04
transcript.pyannote[1658].start 9074.96721875
transcript.pyannote[1658].end 9109.79721875
transcript.pyannote[1659].speaker SPEAKER_25
transcript.pyannote[1659].start 9110.69159375
transcript.pyannote[1659].end 9120.12471875
transcript.pyannote[1660].speaker SPEAKER_25
transcript.pyannote[1660].start 9120.98534375
transcript.pyannote[1660].end 9125.49096875
transcript.pyannote[1661].speaker SPEAKER_25
transcript.pyannote[1661].start 9125.76096875
transcript.pyannote[1661].end 9131.24534375
transcript.pyannote[1662].speaker SPEAKER_04
transcript.pyannote[1662].start 9131.24534375
transcript.pyannote[1662].end 9135.32909375
transcript.pyannote[1663].speaker SPEAKER_04
transcript.pyannote[1663].start 9135.81846875
transcript.pyannote[1663].end 9137.03346875
transcript.pyannote[1664].speaker SPEAKER_04
transcript.pyannote[1664].start 9137.20221875
transcript.pyannote[1664].end 9139.95284375
transcript.pyannote[1665].speaker SPEAKER_04
transcript.pyannote[1665].start 9140.52659375
transcript.pyannote[1665].end 9148.66034375
transcript.pyannote[1666].speaker SPEAKER_04
transcript.pyannote[1666].start 9148.94721875
transcript.pyannote[1666].end 9165.21471875
transcript.pyannote[1667].speaker SPEAKER_25
transcript.pyannote[1667].start 9164.99534375
transcript.pyannote[1667].end 9167.08784375
transcript.pyannote[1668].speaker SPEAKER_25
transcript.pyannote[1668].start 9167.32409375
transcript.pyannote[1668].end 9168.89346875
transcript.pyannote[1669].speaker SPEAKER_25
transcript.pyannote[1669].start 9169.41659375
transcript.pyannote[1669].end 9170.64846875
transcript.pyannote[1670].speaker SPEAKER_25
transcript.pyannote[1670].start 9171.39096875
transcript.pyannote[1670].end 9172.62284375
transcript.pyannote[1671].speaker SPEAKER_25
transcript.pyannote[1671].start 9172.90971875
transcript.pyannote[1671].end 9174.32721875
transcript.pyannote[1672].speaker SPEAKER_25
transcript.pyannote[1672].start 9176.04846875
transcript.pyannote[1672].end 9176.62221875
transcript.pyannote[1673].speaker SPEAKER_25
transcript.pyannote[1673].start 9176.95971875
transcript.pyannote[1673].end 9177.31409375
transcript.pyannote[1674].speaker SPEAKER_25
transcript.pyannote[1674].start 9177.66846875
transcript.pyannote[1674].end 9180.46971875
transcript.pyannote[1675].speaker SPEAKER_10
transcript.pyannote[1675].start 9177.92159375
transcript.pyannote[1675].end 9177.93846875
transcript.pyannote[1676].speaker SPEAKER_41
transcript.pyannote[1676].start 9177.93846875
transcript.pyannote[1676].end 9178.20846875
transcript.pyannote[1677].speaker SPEAKER_25
transcript.pyannote[1677].start 9180.92534375
transcript.pyannote[1677].end 9182.52846875
transcript.pyannote[1678].speaker SPEAKER_25
transcript.pyannote[1678].start 9183.37221875
transcript.pyannote[1678].end 9186.35909375
transcript.pyannote[1679].speaker SPEAKER_25
transcript.pyannote[1679].start 9186.69659375
transcript.pyannote[1679].end 9188.50221875
transcript.pyannote[1680].speaker SPEAKER_25
transcript.pyannote[1680].start 9188.89034375
transcript.pyannote[1680].end 9189.85221875
transcript.pyannote[1681].speaker SPEAKER_25
transcript.pyannote[1681].start 9190.91534375
transcript.pyannote[1681].end 9191.84346875
transcript.pyannote[1682].speaker SPEAKER_04
transcript.pyannote[1682].start 9192.29909375
transcript.pyannote[1682].end 9193.75034375
transcript.pyannote[1683].speaker SPEAKER_25
transcript.pyannote[1683].start 9193.05846875
transcript.pyannote[1683].end 9202.40721875
transcript.pyannote[1684].speaker SPEAKER_04
transcript.pyannote[1684].start 9202.54221875
transcript.pyannote[1684].end 9216.10971875
transcript.pyannote[1685].speaker SPEAKER_04
transcript.pyannote[1685].start 9216.39659375
transcript.pyannote[1685].end 9216.83534375
transcript.pyannote[1686].speaker SPEAKER_04
transcript.pyannote[1686].start 9217.25721875
transcript.pyannote[1686].end 9222.47159375
transcript.pyannote[1687].speaker SPEAKER_25
transcript.pyannote[1687].start 9222.18471875
transcript.pyannote[1687].end 9223.55159375
transcript.pyannote[1688].speaker SPEAKER_04
transcript.pyannote[1688].start 9224.29409375
transcript.pyannote[1688].end 9224.93534375
transcript.pyannote[1689].speaker SPEAKER_04
transcript.pyannote[1689].start 9225.76221875
transcript.pyannote[1689].end 9231.07784375
transcript.pyannote[1690].speaker SPEAKER_04
transcript.pyannote[1690].start 9231.46596875
transcript.pyannote[1690].end 9233.60909375
transcript.pyannote[1691].speaker SPEAKER_25
transcript.pyannote[1691].start 9232.73159375
transcript.pyannote[1691].end 9237.67596875
transcript.pyannote[1692].speaker SPEAKER_04
transcript.pyannote[1692].start 9237.67596875
transcript.pyannote[1692].end 9241.11846875
transcript.pyannote[1693].speaker SPEAKER_25
transcript.pyannote[1693].start 9238.73909375
transcript.pyannote[1693].end 9244.71284375
transcript.pyannote[1694].speaker SPEAKER_25
transcript.pyannote[1694].start 9244.99971875
transcript.pyannote[1694].end 9251.19284375
transcript.pyannote[1695].speaker SPEAKER_39
transcript.pyannote[1695].start 9247.27784375
transcript.pyannote[1695].end 9247.29471875
transcript.pyannote[1696].speaker SPEAKER_04
transcript.pyannote[1696].start 9247.29471875
transcript.pyannote[1696].end 9247.85159375
transcript.pyannote[1697].speaker SPEAKER_04
transcript.pyannote[1697].start 9251.74971875
transcript.pyannote[1697].end 9259.12409375
transcript.pyannote[1698].speaker SPEAKER_04
transcript.pyannote[1698].start 9259.30971875
transcript.pyannote[1698].end 9270.12659375
transcript.pyannote[1699].speaker SPEAKER_25
transcript.pyannote[1699].start 9269.04659375
transcript.pyannote[1699].end 9274.48034375
transcript.pyannote[1700].speaker SPEAKER_25
transcript.pyannote[1700].start 9274.96971875
transcript.pyannote[1700].end 9279.05346875
transcript.pyannote[1701].speaker SPEAKER_25
transcript.pyannote[1701].start 9280.21784375
transcript.pyannote[1701].end 9282.20909375
transcript.pyannote[1702].speaker SPEAKER_25
transcript.pyannote[1702].start 9282.81659375
transcript.pyannote[1702].end 9296.89034375
transcript.pyannote[1703].speaker SPEAKER_25
transcript.pyannote[1703].start 9296.92409375
transcript.pyannote[1703].end 9297.68346875
transcript.pyannote[1704].speaker SPEAKER_25
transcript.pyannote[1704].start 9298.02096875
transcript.pyannote[1704].end 9300.06284375
transcript.pyannote[1705].speaker SPEAKER_25
transcript.pyannote[1705].start 9301.53096875
transcript.pyannote[1705].end 9327.73784375
transcript.pyannote[1706].speaker SPEAKER_04
transcript.pyannote[1706].start 9328.26096875
transcript.pyannote[1706].end 9358.83846875
transcript.pyannote[1707].speaker SPEAKER_25
transcript.pyannote[1707].start 9358.07909375
transcript.pyannote[1707].end 9362.61846875
transcript.pyannote[1708].speaker SPEAKER_25
transcript.pyannote[1708].start 9362.85471875
transcript.pyannote[1708].end 9363.54659375
transcript.pyannote[1709].speaker SPEAKER_25
transcript.pyannote[1709].start 9363.66471875
transcript.pyannote[1709].end 9364.59284375
transcript.pyannote[1710].speaker SPEAKER_04
transcript.pyannote[1710].start 9363.69846875
transcript.pyannote[1710].end 9364.40721875
transcript.pyannote[1711].speaker SPEAKER_35
transcript.pyannote[1711].start 9364.40721875
transcript.pyannote[1711].end 9364.45784375
transcript.pyannote[1712].speaker SPEAKER_25
transcript.pyannote[1712].start 9364.86284375
transcript.pyannote[1712].end 9378.12659375
transcript.pyannote[1713].speaker SPEAKER_04
transcript.pyannote[1713].start 9378.64971875
transcript.pyannote[1713].end 9400.87409375
transcript.pyannote[1714].speaker SPEAKER_25
transcript.pyannote[1714].start 9399.50721875
transcript.pyannote[1714].end 9403.57409375
transcript.pyannote[1715].speaker SPEAKER_04
transcript.pyannote[1715].start 9403.57409375
transcript.pyannote[1715].end 9405.56534375
transcript.pyannote[1716].speaker SPEAKER_25
transcript.pyannote[1716].start 9404.72159375
transcript.pyannote[1716].end 9407.10096875
transcript.pyannote[1717].speaker SPEAKER_25
transcript.pyannote[1717].start 9407.59034375
transcript.pyannote[1717].end 9418.57596875
transcript.pyannote[1718].speaker SPEAKER_04
transcript.pyannote[1718].start 9416.06159375
transcript.pyannote[1718].end 9417.29346875
transcript.pyannote[1719].speaker SPEAKER_04
transcript.pyannote[1719].start 9417.51284375
transcript.pyannote[1719].end 9429.03846875
transcript.pyannote[1720].speaker SPEAKER_04
transcript.pyannote[1720].start 9429.62909375
transcript.pyannote[1720].end 9436.04159375
transcript.pyannote[1721].speaker SPEAKER_04
transcript.pyannote[1721].start 9436.41284375
transcript.pyannote[1721].end 9439.24784375
transcript.pyannote[1722].speaker SPEAKER_04
transcript.pyannote[1722].start 9439.53471875
transcript.pyannote[1722].end 9441.99846875
transcript.pyannote[1723].speaker SPEAKER_25
transcript.pyannote[1723].start 9443.19659375
transcript.pyannote[1723].end 9443.87159375
transcript.pyannote[1724].speaker SPEAKER_29
transcript.pyannote[1724].start 9449.98034375
transcript.pyannote[1724].end 9451.66784375
transcript.pyannote[1725].speaker SPEAKER_12
transcript.pyannote[1725].start 9451.66784375
transcript.pyannote[1725].end 9451.68471875
transcript.pyannote[1726].speaker SPEAKER_12
transcript.pyannote[1726].start 9457.50659375
transcript.pyannote[1726].end 9460.76346875
transcript.pyannote[1727].speaker SPEAKER_08
transcript.pyannote[1727].start 9469.38659375
transcript.pyannote[1727].end 9469.79159375
transcript.pyannote[1728].speaker SPEAKER_12
transcript.pyannote[1728].start 9470.09534375
transcript.pyannote[1728].end 9470.56784375
transcript.pyannote[1729].speaker SPEAKER_12
transcript.pyannote[1729].start 9470.85471875
transcript.pyannote[1729].end 9472.96409375
transcript.pyannote[1730].speaker SPEAKER_12
transcript.pyannote[1730].start 9473.28471875
transcript.pyannote[1730].end 9473.74034375
transcript.pyannote[1731].speaker SPEAKER_12
transcript.pyannote[1731].start 9474.48284375
transcript.pyannote[1731].end 9476.94659375
transcript.pyannote[1732].speaker SPEAKER_12
transcript.pyannote[1732].start 9477.48659375
transcript.pyannote[1732].end 9478.27971875
transcript.pyannote[1733].speaker SPEAKER_12
transcript.pyannote[1733].start 9479.47784375
transcript.pyannote[1733].end 9481.14846875
transcript.pyannote[1734].speaker SPEAKER_12
transcript.pyannote[1734].start 9482.43096875
transcript.pyannote[1734].end 9501.83721875
transcript.pyannote[1735].speaker SPEAKER_12
transcript.pyannote[1735].start 9502.56284375
transcript.pyannote[1735].end 9504.94221875
transcript.pyannote[1736].speaker SPEAKER_12
transcript.pyannote[1736].start 9505.53284375
transcript.pyannote[1736].end 9506.69721875
transcript.pyannote[1737].speaker SPEAKER_12
transcript.pyannote[1737].start 9507.16971875
transcript.pyannote[1737].end 9509.43096875
transcript.pyannote[1738].speaker SPEAKER_12
transcript.pyannote[1738].start 9509.85284375
transcript.pyannote[1738].end 9519.65721875
transcript.pyannote[1739].speaker SPEAKER_00
transcript.pyannote[1739].start 9509.88659375
transcript.pyannote[1739].end 9510.35909375
transcript.pyannote[1740].speaker SPEAKER_12
transcript.pyannote[1740].start 9520.18034375
transcript.pyannote[1740].end 9521.27721875
transcript.pyannote[1741].speaker SPEAKER_12
transcript.pyannote[1741].start 9521.41221875
transcript.pyannote[1741].end 9523.18409375
transcript.pyannote[1742].speaker SPEAKER_04
transcript.pyannote[1742].start 9524.04471875
transcript.pyannote[1742].end 9525.22596875
transcript.pyannote[1743].speaker SPEAKER_04
transcript.pyannote[1743].start 9525.71534375
transcript.pyannote[1743].end 9526.22159375
transcript.pyannote[1744].speaker SPEAKER_04
transcript.pyannote[1744].start 9526.59284375
transcript.pyannote[1744].end 9527.85846875
transcript.pyannote[1745].speaker SPEAKER_04
transcript.pyannote[1745].start 9528.36471875
transcript.pyannote[1745].end 9529.37721875
transcript.pyannote[1746].speaker SPEAKER_04
transcript.pyannote[1746].start 9529.81596875
transcript.pyannote[1746].end 9530.99721875
transcript.pyannote[1747].speaker SPEAKER_04
transcript.pyannote[1747].start 9531.23346875
transcript.pyannote[1747].end 9532.09409375
transcript.pyannote[1748].speaker SPEAKER_04
transcript.pyannote[1748].start 9532.51596875
transcript.pyannote[1748].end 9542.50596875
transcript.pyannote[1749].speaker SPEAKER_12
transcript.pyannote[1749].start 9541.93221875
transcript.pyannote[1749].end 9551.09534375
transcript.pyannote[1750].speaker SPEAKER_04
transcript.pyannote[1750].start 9543.60284375
transcript.pyannote[1750].end 9544.39596875
transcript.pyannote[1751].speaker SPEAKER_04
transcript.pyannote[1751].start 9546.15096875
transcript.pyannote[1751].end 9547.36596875
transcript.pyannote[1752].speaker SPEAKER_05
transcript.pyannote[1752].start 9547.36596875
transcript.pyannote[1752].end 9547.45034375
transcript.pyannote[1753].speaker SPEAKER_14
transcript.pyannote[1753].start 9547.90596875
transcript.pyannote[1753].end 9547.92284375
transcript.pyannote[1754].speaker SPEAKER_04
transcript.pyannote[1754].start 9547.92284375
transcript.pyannote[1754].end 9549.54284375
transcript.pyannote[1755].speaker SPEAKER_05
transcript.pyannote[1755].start 9549.54284375
transcript.pyannote[1755].end 9549.57659375
transcript.pyannote[1756].speaker SPEAKER_12
transcript.pyannote[1756].start 9552.20909375
transcript.pyannote[1756].end 9554.09909375
transcript.pyannote[1757].speaker SPEAKER_12
transcript.pyannote[1757].start 9554.70659375
transcript.pyannote[1757].end 9557.01846875
transcript.pyannote[1758].speaker SPEAKER_12
transcript.pyannote[1758].start 9558.13221875
transcript.pyannote[1758].end 9560.24159375
transcript.pyannote[1759].speaker SPEAKER_04
transcript.pyannote[1759].start 9559.63409375
transcript.pyannote[1759].end 9559.88721875
transcript.pyannote[1760].speaker SPEAKER_04
transcript.pyannote[1760].start 9560.34284375
transcript.pyannote[1760].end 9562.09784375
transcript.pyannote[1761].speaker SPEAKER_04
transcript.pyannote[1761].start 9562.92471875
transcript.pyannote[1761].end 9565.48971875
transcript.pyannote[1762].speaker SPEAKER_04
transcript.pyannote[1762].start 9566.02971875
transcript.pyannote[1762].end 9569.37096875
transcript.pyannote[1763].speaker SPEAKER_04
transcript.pyannote[1763].start 9570.23159375
transcript.pyannote[1763].end 9572.03721875
transcript.pyannote[1764].speaker SPEAKER_04
transcript.pyannote[1764].start 9572.44221875
transcript.pyannote[1764].end 9579.78284375
transcript.pyannote[1765].speaker SPEAKER_12
transcript.pyannote[1765].start 9578.80409375
transcript.pyannote[1765].end 9580.72784375
transcript.pyannote[1766].speaker SPEAKER_12
transcript.pyannote[1766].start 9580.91346875
transcript.pyannote[1766].end 9588.22034375
transcript.pyannote[1767].speaker SPEAKER_04
transcript.pyannote[1767].start 9585.33471875
transcript.pyannote[1767].end 9590.59971875
transcript.pyannote[1768].speaker SPEAKER_04
transcript.pyannote[1768].start 9590.85284375
transcript.pyannote[1768].end 9598.29471875
transcript.pyannote[1769].speaker SPEAKER_04
transcript.pyannote[1769].start 9598.58159375
transcript.pyannote[1769].end 9610.14096875
transcript.pyannote[1770].speaker SPEAKER_04
transcript.pyannote[1770].start 9610.52909375
transcript.pyannote[1770].end 9614.68034375
transcript.pyannote[1771].speaker SPEAKER_04
transcript.pyannote[1771].start 9614.96721875
transcript.pyannote[1771].end 9632.97284375
transcript.pyannote[1772].speaker SPEAKER_00
transcript.pyannote[1772].start 9620.90721875
transcript.pyannote[1772].end 9621.05909375
transcript.pyannote[1773].speaker SPEAKER_04
transcript.pyannote[1773].start 9633.56346875
transcript.pyannote[1773].end 9639.90846875
transcript.pyannote[1774].speaker SPEAKER_12
transcript.pyannote[1774].start 9639.63846875
transcript.pyannote[1774].end 9641.35971875
transcript.pyannote[1775].speaker SPEAKER_12
transcript.pyannote[1775].start 9642.38909375
transcript.pyannote[1775].end 9646.18596875
transcript.pyannote[1776].speaker SPEAKER_12
transcript.pyannote[1776].start 9646.70909375
transcript.pyannote[1776].end 9647.72159375
transcript.pyannote[1777].speaker SPEAKER_12
transcript.pyannote[1777].start 9648.41346875
transcript.pyannote[1777].end 9651.40034375
transcript.pyannote[1778].speaker SPEAKER_12
transcript.pyannote[1778].start 9652.04159375
transcript.pyannote[1778].end 9653.96534375
transcript.pyannote[1779].speaker SPEAKER_12
transcript.pyannote[1779].start 9654.60659375
transcript.pyannote[1779].end 9657.45846875
transcript.pyannote[1780].speaker SPEAKER_12
transcript.pyannote[1780].start 9657.96471875
transcript.pyannote[1780].end 9659.01096875
transcript.pyannote[1781].speaker SPEAKER_12
transcript.pyannote[1781].start 9659.31471875
transcript.pyannote[1781].end 9660.46221875
transcript.pyannote[1782].speaker SPEAKER_12
transcript.pyannote[1782].start 9660.76596875
transcript.pyannote[1782].end 9661.55909375
transcript.pyannote[1783].speaker SPEAKER_12
transcript.pyannote[1783].start 9662.67284375
transcript.pyannote[1783].end 9664.68096875
transcript.pyannote[1784].speaker SPEAKER_08
transcript.pyannote[1784].start 9664.66409375
transcript.pyannote[1784].end 9665.03534375
transcript.pyannote[1785].speaker SPEAKER_12
transcript.pyannote[1785].start 9665.03534375
transcript.pyannote[1785].end 9668.41034375
transcript.pyannote[1786].speaker SPEAKER_12
transcript.pyannote[1786].start 9669.03471875
transcript.pyannote[1786].end 9673.96221875
transcript.pyannote[1787].speaker SPEAKER_07
transcript.pyannote[1787].start 9673.82721875
transcript.pyannote[1787].end 9674.24909375
transcript.pyannote[1788].speaker SPEAKER_12
transcript.pyannote[1788].start 9674.29971875
transcript.pyannote[1788].end 9675.04221875
transcript.pyannote[1789].speaker SPEAKER_07
transcript.pyannote[1789].start 9675.16034375
transcript.pyannote[1789].end 9675.53159375
transcript.pyannote[1790].speaker SPEAKER_12
transcript.pyannote[1790].start 9676.17284375
transcript.pyannote[1790].end 9677.80971875
transcript.pyannote[1791].speaker SPEAKER_12
transcript.pyannote[1791].start 9678.29909375
transcript.pyannote[1791].end 9680.15534375
transcript.pyannote[1792].speaker SPEAKER_12
transcript.pyannote[1792].start 9681.03284375
transcript.pyannote[1792].end 9684.25596875
transcript.pyannote[1793].speaker SPEAKER_12
transcript.pyannote[1793].start 9685.01534375
transcript.pyannote[1793].end 9686.95596875
transcript.pyannote[1794].speaker SPEAKER_04
transcript.pyannote[1794].start 9687.88409375
transcript.pyannote[1794].end 9693.84096875
transcript.pyannote[1795].speaker SPEAKER_12
transcript.pyannote[1795].start 9693.06471875
transcript.pyannote[1795].end 9694.33034375
transcript.pyannote[1796].speaker SPEAKER_04
transcript.pyannote[1796].start 9694.33034375
transcript.pyannote[1796].end 9694.83659375
transcript.pyannote[1797].speaker SPEAKER_12
transcript.pyannote[1797].start 9694.90409375
transcript.pyannote[1797].end 9697.35096875
transcript.pyannote[1798].speaker SPEAKER_04
transcript.pyannote[1798].start 9695.44409375
transcript.pyannote[1798].end 9695.84909375
transcript.pyannote[1799].speaker SPEAKER_04
transcript.pyannote[1799].start 9696.67596875
transcript.pyannote[1799].end 9697.18221875
transcript.pyannote[1800].speaker SPEAKER_12
transcript.pyannote[1800].start 9697.89096875
transcript.pyannote[1800].end 9709.63596875
transcript.pyannote[1801].speaker SPEAKER_12
transcript.pyannote[1801].start 9710.39534375
transcript.pyannote[1801].end 9712.62284375
transcript.pyannote[1802].speaker SPEAKER_12
transcript.pyannote[1802].start 9712.80846875
transcript.pyannote[1802].end 9719.50784375
transcript.pyannote[1803].speaker SPEAKER_12
transcript.pyannote[1803].start 9720.36846875
transcript.pyannote[1803].end 9723.97971875
transcript.pyannote[1804].speaker SPEAKER_04
transcript.pyannote[1804].start 9720.38534375
transcript.pyannote[1804].end 9720.70596875
transcript.pyannote[1805].speaker SPEAKER_04
transcript.pyannote[1805].start 9723.60846875
transcript.pyannote[1805].end 9726.37596875
transcript.pyannote[1806].speaker SPEAKER_04
transcript.pyannote[1806].start 9726.78096875
transcript.pyannote[1806].end 9742.10346875
transcript.pyannote[1807].speaker SPEAKER_12
transcript.pyannote[1807].start 9730.05471875
transcript.pyannote[1807].end 9730.61159375
transcript.pyannote[1808].speaker SPEAKER_04
transcript.pyannote[1808].start 9742.57596875
transcript.pyannote[1808].end 9744.87096875
transcript.pyannote[1809].speaker SPEAKER_12
transcript.pyannote[1809].start 9743.89221875
transcript.pyannote[1809].end 9746.74409375
transcript.pyannote[1810].speaker SPEAKER_12
transcript.pyannote[1810].start 9747.14909375
transcript.pyannote[1810].end 9752.85284375
transcript.pyannote[1811].speaker SPEAKER_08
transcript.pyannote[1811].start 9752.85284375
transcript.pyannote[1811].end 9753.35909375
transcript.pyannote[1812].speaker SPEAKER_12
transcript.pyannote[1812].start 9753.54471875
transcript.pyannote[1812].end 9754.05096875
transcript.pyannote[1813].speaker SPEAKER_08
transcript.pyannote[1813].start 9754.05096875
transcript.pyannote[1813].end 9754.40534375
transcript.pyannote[1814].speaker SPEAKER_12
transcript.pyannote[1814].start 9754.82721875
transcript.pyannote[1814].end 9758.38784375
transcript.pyannote[1815].speaker SPEAKER_12
transcript.pyannote[1815].start 9758.82659375
transcript.pyannote[1815].end 9761.49284375
transcript.pyannote[1816].speaker SPEAKER_12
transcript.pyannote[1816].start 9762.21846875
transcript.pyannote[1816].end 9767.24721875
transcript.pyannote[1817].speaker SPEAKER_12
transcript.pyannote[1817].start 9767.71971875
transcript.pyannote[1817].end 9770.68971875
transcript.pyannote[1818].speaker SPEAKER_08
transcript.pyannote[1818].start 9770.68971875
transcript.pyannote[1818].end 9770.94284375
transcript.pyannote[1819].speaker SPEAKER_12
transcript.pyannote[1819].start 9770.94284375
transcript.pyannote[1819].end 9771.93846875
transcript.pyannote[1820].speaker SPEAKER_12
transcript.pyannote[1820].start 9772.81596875
transcript.pyannote[1820].end 9781.47284375
transcript.pyannote[1821].speaker SPEAKER_39
transcript.pyannote[1821].start 9781.89471875
transcript.pyannote[1821].end 9782.13096875
transcript.pyannote[1822].speaker SPEAKER_12
transcript.pyannote[1822].start 9782.13096875
transcript.pyannote[1822].end 9784.17284375
transcript.pyannote[1823].speaker SPEAKER_12
transcript.pyannote[1823].start 9784.78034375
transcript.pyannote[1823].end 9788.62784375
transcript.pyannote[1824].speaker SPEAKER_12
transcript.pyannote[1824].start 9789.28596875
transcript.pyannote[1824].end 9791.14221875
transcript.pyannote[1825].speaker SPEAKER_07
transcript.pyannote[1825].start 9791.14221875
transcript.pyannote[1825].end 9791.34471875
transcript.pyannote[1826].speaker SPEAKER_12
transcript.pyannote[1826].start 9792.23909375
transcript.pyannote[1826].end 9795.63096875
transcript.pyannote[1827].speaker SPEAKER_12
transcript.pyannote[1827].start 9795.76596875
transcript.pyannote[1827].end 9799.68096875
transcript.pyannote[1828].speaker SPEAKER_12
transcript.pyannote[1828].start 9800.49096875
transcript.pyannote[1828].end 9801.97596875
transcript.pyannote[1829].speaker SPEAKER_04
transcript.pyannote[1829].start 9801.33471875
transcript.pyannote[1829].end 9816.70784375
transcript.pyannote[1830].speaker SPEAKER_12
transcript.pyannote[1830].start 9809.40096875
transcript.pyannote[1830].end 9810.16034375
transcript.pyannote[1831].speaker SPEAKER_12
transcript.pyannote[1831].start 9816.89346875
transcript.pyannote[1831].end 9819.34034375
transcript.pyannote[1832].speaker SPEAKER_12
transcript.pyannote[1832].start 9819.64409375
transcript.pyannote[1832].end 9827.40659375
transcript.pyannote[1833].speaker SPEAKER_12
transcript.pyannote[1833].start 9828.43596875
transcript.pyannote[1833].end 9831.74346875
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 9831.74346875
transcript.pyannote[1834].end 9832.14846875
transcript.pyannote[1835].speaker SPEAKER_12
transcript.pyannote[1835].start 9832.23284375
transcript.pyannote[1835].end 9838.02096875
transcript.pyannote[1836].speaker SPEAKER_12
transcript.pyannote[1836].start 9838.51034375
transcript.pyannote[1836].end 9842.39159375
transcript.pyannote[1837].speaker SPEAKER_40
transcript.pyannote[1837].start 9842.35784375
transcript.pyannote[1837].end 9842.37471875
transcript.pyannote[1838].speaker SPEAKER_40
transcript.pyannote[1838].start 9842.39159375
transcript.pyannote[1838].end 9842.74596875
transcript.pyannote[1839].speaker SPEAKER_12
transcript.pyannote[1839].start 9842.47596875
transcript.pyannote[1839].end 9842.50971875
transcript.pyannote[1840].speaker SPEAKER_12
transcript.pyannote[1840].start 9842.57721875
transcript.pyannote[1840].end 9846.30659375
transcript.pyannote[1841].speaker SPEAKER_12
transcript.pyannote[1841].start 9847.50471875
transcript.pyannote[1841].end 9857.71409375
transcript.pyannote[1842].speaker SPEAKER_12
transcript.pyannote[1842].start 9858.32159375
transcript.pyannote[1842].end 9860.98784375
transcript.pyannote[1843].speaker SPEAKER_07
transcript.pyannote[1843].start 9861.07221875
transcript.pyannote[1843].end 9861.35909375
transcript.pyannote[1844].speaker SPEAKER_12
transcript.pyannote[1844].start 9862.40534375
transcript.pyannote[1844].end 9864.00846875
transcript.pyannote[1845].speaker SPEAKER_12
transcript.pyannote[1845].start 9864.41346875
transcript.pyannote[1845].end 9868.91909375
transcript.pyannote[1846].speaker SPEAKER_12
transcript.pyannote[1846].start 9869.59409375
transcript.pyannote[1846].end 9884.39346875
transcript.pyannote[1847].speaker SPEAKER_12
transcript.pyannote[1847].start 9886.51971875
transcript.pyannote[1847].end 9893.05034375
transcript.pyannote[1848].speaker SPEAKER_12
transcript.pyannote[1848].start 9894.19784375
transcript.pyannote[1848].end 9898.34909375
transcript.pyannote[1849].speaker SPEAKER_12
transcript.pyannote[1849].start 9898.93971875
transcript.pyannote[1849].end 9902.39909375
transcript.pyannote[1850].speaker SPEAKER_04
transcript.pyannote[1850].start 9903.10784375
transcript.pyannote[1850].end 9911.27534375
transcript.pyannote[1851].speaker SPEAKER_04
transcript.pyannote[1851].start 9911.78159375
transcript.pyannote[1851].end 9919.20659375
transcript.pyannote[1852].speaker SPEAKER_04
transcript.pyannote[1852].start 9919.44284375
transcript.pyannote[1852].end 9923.03721875
transcript.pyannote[1853].speaker SPEAKER_12
transcript.pyannote[1853].start 9923.39159375
transcript.pyannote[1853].end 9926.96909375
transcript.pyannote[1854].speaker SPEAKER_04
transcript.pyannote[1854].start 9926.96909375
transcript.pyannote[1854].end 9927.18846875
transcript.pyannote[1855].speaker SPEAKER_12
transcript.pyannote[1855].start 9927.18846875
transcript.pyannote[1855].end 9927.20534375
transcript.pyannote[1856].speaker SPEAKER_12
transcript.pyannote[1856].start 9927.45846875
transcript.pyannote[1856].end 9932.03159375
transcript.pyannote[1857].speaker SPEAKER_12
transcript.pyannote[1857].start 9932.48721875
transcript.pyannote[1857].end 9936.58784375
transcript.pyannote[1858].speaker SPEAKER_07
transcript.pyannote[1858].start 9934.49534375
transcript.pyannote[1858].end 9934.86659375
transcript.pyannote[1859].speaker SPEAKER_08
transcript.pyannote[1859].start 9934.86659375
transcript.pyannote[1859].end 9934.91721875
transcript.pyannote[1860].speaker SPEAKER_12
transcript.pyannote[1860].start 9936.70596875
transcript.pyannote[1860].end 9954.42471875
transcript.pyannote[1861].speaker SPEAKER_12
transcript.pyannote[1861].start 9954.79596875
transcript.pyannote[1861].end 9957.05721875
transcript.pyannote[1862].speaker SPEAKER_40
transcript.pyannote[1862].start 9955.65659375
transcript.pyannote[1862].end 9956.04471875
transcript.pyannote[1863].speaker SPEAKER_40
transcript.pyannote[1863].start 9956.83784375
transcript.pyannote[1863].end 9957.25971875
transcript.pyannote[1864].speaker SPEAKER_12
transcript.pyannote[1864].start 9957.12471875
transcript.pyannote[1864].end 9961.37721875
transcript.pyannote[1865].speaker SPEAKER_40
transcript.pyannote[1865].start 9958.59284375
transcript.pyannote[1865].end 9959.11596875
transcript.pyannote[1866].speaker SPEAKER_12
transcript.pyannote[1866].start 9961.93409375
transcript.pyannote[1866].end 9963.57096875
transcript.pyannote[1867].speaker SPEAKER_12
transcript.pyannote[1867].start 9964.14471875
transcript.pyannote[1867].end 9965.47784375
transcript.pyannote[1868].speaker SPEAKER_12
transcript.pyannote[1868].start 9965.74784375
transcript.pyannote[1868].end 9966.13596875
transcript.pyannote[1869].speaker SPEAKER_12
transcript.pyannote[1869].start 9966.25409375
transcript.pyannote[1869].end 9966.99659375
transcript.pyannote[1870].speaker SPEAKER_08
transcript.pyannote[1870].start 9967.50284375
transcript.pyannote[1870].end 9967.85721875
transcript.pyannote[1871].speaker SPEAKER_12
transcript.pyannote[1871].start 9967.85721875
transcript.pyannote[1871].end 9969.66284375
transcript.pyannote[1872].speaker SPEAKER_12
transcript.pyannote[1872].start 9970.03409375
transcript.pyannote[1872].end 9972.21096875
transcript.pyannote[1873].speaker SPEAKER_08
transcript.pyannote[1873].start 9972.21096875
transcript.pyannote[1873].end 9972.37971875
transcript.pyannote[1874].speaker SPEAKER_12
transcript.pyannote[1874].start 9972.59909375
transcript.pyannote[1874].end 9978.10034375
transcript.pyannote[1875].speaker SPEAKER_08
transcript.pyannote[1875].start 9978.10034375
transcript.pyannote[1875].end 9978.37034375
transcript.pyannote[1876].speaker SPEAKER_12
transcript.pyannote[1876].start 9978.57284375
transcript.pyannote[1876].end 9982.67346875
transcript.pyannote[1877].speaker SPEAKER_12
transcript.pyannote[1877].start 9982.99409375
transcript.pyannote[1877].end 9986.92596875
transcript.pyannote[1878].speaker SPEAKER_12
transcript.pyannote[1878].start 9987.16221875
transcript.pyannote[1878].end 9989.57534375
transcript.pyannote[1879].speaker SPEAKER_12
transcript.pyannote[1879].start 9989.96346875
transcript.pyannote[1879].end 9990.80721875
transcript.pyannote[1880].speaker SPEAKER_12
transcript.pyannote[1880].start 9991.21221875
transcript.pyannote[1880].end 9993.37221875
transcript.pyannote[1881].speaker SPEAKER_12
transcript.pyannote[1881].start 9995.16096875
transcript.pyannote[1881].end 9996.30846875
transcript.pyannote[1882].speaker SPEAKER_08
transcript.pyannote[1882].start 9995.19471875
transcript.pyannote[1882].end 9995.38034375
transcript.pyannote[1883].speaker SPEAKER_12
transcript.pyannote[1883].start 9996.66284375
transcript.pyannote[1883].end 9997.35471875
transcript.pyannote[1884].speaker SPEAKER_08
transcript.pyannote[1884].start 9996.67971875
transcript.pyannote[1884].end 9997.67534375
transcript.pyannote[1885].speaker SPEAKER_12
transcript.pyannote[1885].start 9997.77659375
transcript.pyannote[1885].end 9999.21096875
transcript.pyannote[1886].speaker SPEAKER_08
transcript.pyannote[1886].start 9999.09284375
transcript.pyannote[1886].end 9999.43034375
transcript.pyannote[1887].speaker SPEAKER_12
transcript.pyannote[1887].start 9999.37971875
transcript.pyannote[1887].end 10002.60284375
transcript.pyannote[1888].speaker SPEAKER_08
transcript.pyannote[1888].start 10002.51846875
transcript.pyannote[1888].end 10002.90659375
transcript.pyannote[1889].speaker SPEAKER_12
transcript.pyannote[1889].start 10002.90659375
transcript.pyannote[1889].end 10010.60159375
transcript.pyannote[1890].speaker SPEAKER_12
transcript.pyannote[1890].start 10011.88409375
transcript.pyannote[1890].end 10013.26784375
transcript.pyannote[1891].speaker SPEAKER_12
transcript.pyannote[1891].start 10013.67284375
transcript.pyannote[1891].end 10020.94596875
transcript.pyannote[1892].speaker SPEAKER_12
transcript.pyannote[1892].start 10021.28346875
transcript.pyannote[1892].end 10026.54846875
transcript.pyannote[1893].speaker SPEAKER_12
transcript.pyannote[1893].start 10026.97034375
transcript.pyannote[1893].end 10027.94909375
transcript.pyannote[1894].speaker SPEAKER_12
transcript.pyannote[1894].start 10028.84346875
transcript.pyannote[1894].end 10030.27784375
transcript.pyannote[1895].speaker SPEAKER_08
transcript.pyannote[1895].start 10030.91909375
transcript.pyannote[1895].end 10031.17221875
transcript.pyannote[1896].speaker SPEAKER_12
transcript.pyannote[1896].start 10031.20596875
transcript.pyannote[1896].end 10032.16784375
transcript.pyannote[1897].speaker SPEAKER_12
transcript.pyannote[1897].start 10032.45471875
transcript.pyannote[1897].end 10035.35721875
transcript.pyannote[1898].speaker SPEAKER_08
transcript.pyannote[1898].start 10035.25596875
transcript.pyannote[1898].end 10035.57659375
transcript.pyannote[1899].speaker SPEAKER_12
transcript.pyannote[1899].start 10035.67784375
transcript.pyannote[1899].end 10044.06471875
transcript.pyannote[1900].speaker SPEAKER_08
transcript.pyannote[1900].start 10044.23346875
transcript.pyannote[1900].end 10044.53721875
transcript.pyannote[1901].speaker SPEAKER_04
transcript.pyannote[1901].start 10044.53721875
transcript.pyannote[1901].end 10044.57096875
transcript.pyannote[1902].speaker SPEAKER_12
transcript.pyannote[1902].start 10044.57096875
transcript.pyannote[1902].end 10047.86159375
transcript.pyannote[1903].speaker SPEAKER_12
transcript.pyannote[1903].start 10048.51971875
transcript.pyannote[1903].end 10049.93721875
transcript.pyannote[1904].speaker SPEAKER_04
transcript.pyannote[1904].start 10049.51534375
transcript.pyannote[1904].end 10051.57409375
transcript.pyannote[1905].speaker SPEAKER_12
transcript.pyannote[1905].start 10050.86534375
transcript.pyannote[1905].end 10051.54034375
transcript.pyannote[1906].speaker SPEAKER_29
transcript.pyannote[1906].start 10057.29471875
transcript.pyannote[1906].end 10059.04971875
transcript.pyannote[1907].speaker SPEAKER_39
transcript.pyannote[1907].start 10065.22596875
transcript.pyannote[1907].end 10066.28909375
transcript.pyannote[1908].speaker SPEAKER_21
transcript.pyannote[1908].start 10072.98846875
transcript.pyannote[1908].end 10074.49034375
transcript.pyannote[1909].speaker SPEAKER_28
transcript.pyannote[1909].start 10074.67596875
transcript.pyannote[1909].end 10075.41846875
transcript.pyannote[1910].speaker SPEAKER_21
transcript.pyannote[1910].start 10082.79284375
transcript.pyannote[1910].end 10083.40034375
transcript.pyannote[1911].speaker SPEAKER_21
transcript.pyannote[1911].start 10083.80534375
transcript.pyannote[1911].end 10084.46346875
transcript.pyannote[1912].speaker SPEAKER_21
transcript.pyannote[1912].start 10085.23971875
transcript.pyannote[1912].end 10090.18409375
transcript.pyannote[1913].speaker SPEAKER_21
transcript.pyannote[1913].start 10090.67346875
transcript.pyannote[1913].end 10091.36534375
transcript.pyannote[1914].speaker SPEAKER_21
transcript.pyannote[1914].start 10091.53409375
transcript.pyannote[1914].end 10095.85409375
transcript.pyannote[1915].speaker SPEAKER_21
transcript.pyannote[1915].start 10096.22534375
transcript.pyannote[1915].end 10098.04784375
transcript.pyannote[1916].speaker SPEAKER_21
transcript.pyannote[1916].start 10098.45284375
transcript.pyannote[1916].end 10099.85346875
transcript.pyannote[1917].speaker SPEAKER_21
transcript.pyannote[1917].start 10100.27534375
transcript.pyannote[1917].end 10103.80221875
transcript.pyannote[1918].speaker SPEAKER_21
transcript.pyannote[1918].start 10104.54471875
transcript.pyannote[1918].end 10110.31596875
transcript.pyannote[1919].speaker SPEAKER_21
transcript.pyannote[1919].start 10110.83909375
transcript.pyannote[1919].end 10114.46721875
transcript.pyannote[1920].speaker SPEAKER_21
transcript.pyannote[1920].start 10114.93971875
transcript.pyannote[1920].end 10116.42471875
transcript.pyannote[1921].speaker SPEAKER_21
transcript.pyannote[1921].start 10116.52596875
transcript.pyannote[1921].end 10117.70721875
transcript.pyannote[1922].speaker SPEAKER_21
transcript.pyannote[1922].start 10118.58471875
transcript.pyannote[1922].end 10118.60159375
transcript.pyannote[1923].speaker SPEAKER_04
transcript.pyannote[1923].start 10118.60159375
transcript.pyannote[1923].end 10127.96721875
transcript.pyannote[1924].speaker SPEAKER_21
transcript.pyannote[1924].start 10125.33471875
transcript.pyannote[1924].end 10125.94221875
transcript.pyannote[1925].speaker SPEAKER_21
transcript.pyannote[1925].start 10127.96721875
transcript.pyannote[1925].end 10128.03471875
transcript.pyannote[1926].speaker SPEAKER_04
transcript.pyannote[1926].start 10128.03471875
transcript.pyannote[1926].end 10128.42284375
transcript.pyannote[1927].speaker SPEAKER_21
transcript.pyannote[1927].start 10128.42284375
transcript.pyannote[1927].end 10128.45659375
transcript.pyannote[1928].speaker SPEAKER_04
transcript.pyannote[1928].start 10129.53659375
transcript.pyannote[1928].end 10129.55346875
transcript.pyannote[1929].speaker SPEAKER_21
transcript.pyannote[1929].start 10129.55346875
transcript.pyannote[1929].end 10129.57034375
transcript.pyannote[1930].speaker SPEAKER_04
transcript.pyannote[1930].start 10129.57034375
transcript.pyannote[1930].end 10129.97534375
transcript.pyannote[1931].speaker SPEAKER_21
transcript.pyannote[1931].start 10129.97534375
transcript.pyannote[1931].end 10130.02596875
transcript.pyannote[1932].speaker SPEAKER_04
transcript.pyannote[1932].start 10130.02596875
transcript.pyannote[1932].end 10130.27909375
transcript.pyannote[1933].speaker SPEAKER_21
transcript.pyannote[1933].start 10130.27909375
transcript.pyannote[1933].end 10130.31284375
transcript.pyannote[1934].speaker SPEAKER_21
transcript.pyannote[1934].start 10131.08909375
transcript.pyannote[1934].end 10131.10596875
transcript.pyannote[1935].speaker SPEAKER_04
transcript.pyannote[1935].start 10131.10596875
transcript.pyannote[1935].end 10132.27034375
transcript.pyannote[1936].speaker SPEAKER_04
transcript.pyannote[1936].start 10132.37159375
transcript.pyannote[1936].end 10136.13471875
transcript.pyannote[1937].speaker SPEAKER_04
transcript.pyannote[1937].start 10136.42159375
transcript.pyannote[1937].end 10139.44221875
transcript.pyannote[1938].speaker SPEAKER_21
transcript.pyannote[1938].start 10139.02034375
transcript.pyannote[1938].end 10140.62346875
transcript.pyannote[1939].speaker SPEAKER_04
transcript.pyannote[1939].start 10139.76284375
transcript.pyannote[1939].end 10140.30284375
transcript.pyannote[1940].speaker SPEAKER_21
transcript.pyannote[1940].start 10141.55159375
transcript.pyannote[1940].end 10148.82471875
transcript.pyannote[1941].speaker SPEAKER_41
transcript.pyannote[1941].start 10146.81659375
transcript.pyannote[1941].end 10147.23846875
transcript.pyannote[1942].speaker SPEAKER_41
transcript.pyannote[1942].start 10148.63909375
transcript.pyannote[1942].end 10149.09471875
transcript.pyannote[1943].speaker SPEAKER_21
transcript.pyannote[1943].start 10149.01034375
transcript.pyannote[1943].end 10150.96784375
transcript.pyannote[1944].speaker SPEAKER_21
transcript.pyannote[1944].start 10151.37284375
transcript.pyannote[1944].end 10153.36409375
transcript.pyannote[1945].speaker SPEAKER_21
transcript.pyannote[1945].start 10153.73534375
transcript.pyannote[1945].end 10156.90784375
transcript.pyannote[1946].speaker SPEAKER_21
transcript.pyannote[1946].start 10157.36346875
transcript.pyannote[1946].end 10160.56971875
transcript.pyannote[1947].speaker SPEAKER_04
transcript.pyannote[1947].start 10160.83971875
transcript.pyannote[1947].end 10173.93471875
transcript.pyannote[1948].speaker SPEAKER_21
transcript.pyannote[1948].start 10167.06659375
transcript.pyannote[1948].end 10167.15096875
transcript.pyannote[1949].speaker SPEAKER_21
transcript.pyannote[1949].start 10168.36596875
transcript.pyannote[1949].end 10168.61909375
transcript.pyannote[1950].speaker SPEAKER_21
transcript.pyannote[1950].start 10172.80409375
transcript.pyannote[1950].end 10176.16221875
transcript.pyannote[1951].speaker SPEAKER_21
transcript.pyannote[1951].start 10176.63471875
transcript.pyannote[1951].end 10180.54971875
transcript.pyannote[1952].speaker SPEAKER_21
transcript.pyannote[1952].start 10181.10659375
transcript.pyannote[1952].end 10187.67096875
transcript.pyannote[1953].speaker SPEAKER_21
transcript.pyannote[1953].start 10187.97471875
transcript.pyannote[1953].end 10190.87721875
transcript.pyannote[1954].speaker SPEAKER_21
transcript.pyannote[1954].start 10191.58596875
transcript.pyannote[1954].end 10210.70534375
transcript.pyannote[1955].speaker SPEAKER_00
transcript.pyannote[1955].start 10194.85971875
transcript.pyannote[1955].end 10195.23096875
transcript.pyannote[1956].speaker SPEAKER_21
transcript.pyannote[1956].start 10210.80659375
transcript.pyannote[1956].end 10211.21159375
transcript.pyannote[1957].speaker SPEAKER_21
transcript.pyannote[1957].start 10211.66721875
transcript.pyannote[1957].end 10212.73034375
transcript.pyannote[1958].speaker SPEAKER_21
transcript.pyannote[1958].start 10213.59096875
transcript.pyannote[1958].end 10213.89471875
transcript.pyannote[1959].speaker SPEAKER_21
transcript.pyannote[1959].start 10214.26596875
transcript.pyannote[1959].end 10219.83471875
transcript.pyannote[1960].speaker SPEAKER_21
transcript.pyannote[1960].start 10220.03721875
transcript.pyannote[1960].end 10222.73721875
transcript.pyannote[1961].speaker SPEAKER_21
transcript.pyannote[1961].start 10223.17596875
transcript.pyannote[1961].end 10224.61034375
transcript.pyannote[1962].speaker SPEAKER_21
transcript.pyannote[1962].start 10224.91409375
transcript.pyannote[1962].end 10226.90534375
transcript.pyannote[1963].speaker SPEAKER_21
transcript.pyannote[1963].start 10227.12471875
transcript.pyannote[1963].end 10228.45784375
transcript.pyannote[1964].speaker SPEAKER_21
transcript.pyannote[1964].start 10228.77846875
transcript.pyannote[1964].end 10230.98909375
transcript.pyannote[1965].speaker SPEAKER_21
transcript.pyannote[1965].start 10231.29284375
transcript.pyannote[1965].end 10233.92534375
transcript.pyannote[1966].speaker SPEAKER_21
transcript.pyannote[1966].start 10234.73534375
transcript.pyannote[1966].end 10241.48534375
transcript.pyannote[1967].speaker SPEAKER_21
transcript.pyannote[1967].start 10241.87346875
transcript.pyannote[1967].end 10244.62409375
transcript.pyannote[1968].speaker SPEAKER_21
transcript.pyannote[1968].start 10245.24846875
transcript.pyannote[1968].end 10245.51846875
transcript.pyannote[1969].speaker SPEAKER_21
transcript.pyannote[1969].start 10245.92346875
transcript.pyannote[1969].end 10249.61909375
transcript.pyannote[1970].speaker SPEAKER_21
transcript.pyannote[1970].start 10249.87221875
transcript.pyannote[1970].end 10250.73284375
transcript.pyannote[1971].speaker SPEAKER_21
transcript.pyannote[1971].start 10251.61034375
transcript.pyannote[1971].end 10256.21721875
transcript.pyannote[1972].speaker SPEAKER_21
transcript.pyannote[1972].start 10256.55471875
transcript.pyannote[1972].end 10258.59659375
transcript.pyannote[1973].speaker SPEAKER_21
transcript.pyannote[1973].start 10259.33909375
transcript.pyannote[1973].end 10259.96346875
transcript.pyannote[1974].speaker SPEAKER_41
transcript.pyannote[1974].start 10260.06471875
transcript.pyannote[1974].end 10260.52034375
transcript.pyannote[1975].speaker SPEAKER_21
transcript.pyannote[1975].start 10260.52034375
transcript.pyannote[1975].end 10261.92096875
transcript.pyannote[1976].speaker SPEAKER_21
transcript.pyannote[1976].start 10262.19096875
transcript.pyannote[1976].end 10263.70971875
transcript.pyannote[1977].speaker SPEAKER_21
transcript.pyannote[1977].start 10264.30034375
transcript.pyannote[1977].end 10268.09721875
transcript.pyannote[1978].speaker SPEAKER_21
transcript.pyannote[1978].start 10268.70471875
transcript.pyannote[1978].end 10270.10534375
transcript.pyannote[1979].speaker SPEAKER_21
transcript.pyannote[1979].start 10271.01659375
transcript.pyannote[1979].end 10272.34971875
transcript.pyannote[1980].speaker SPEAKER_21
transcript.pyannote[1980].start 10273.00784375
transcript.pyannote[1980].end 10274.35784375
transcript.pyannote[1981].speaker SPEAKER_21
transcript.pyannote[1981].start 10275.26909375
transcript.pyannote[1981].end 10277.02409375
transcript.pyannote[1982].speaker SPEAKER_21
transcript.pyannote[1982].start 10277.76659375
transcript.pyannote[1982].end 10281.14159375
transcript.pyannote[1983].speaker SPEAKER_21
transcript.pyannote[1983].start 10281.66471875
transcript.pyannote[1983].end 10282.28909375
transcript.pyannote[1984].speaker SPEAKER_21
transcript.pyannote[1984].start 10283.18346875
transcript.pyannote[1984].end 10284.07784375
transcript.pyannote[1985].speaker SPEAKER_21
transcript.pyannote[1985].start 10285.19159375
transcript.pyannote[1985].end 10286.47409375
transcript.pyannote[1986].speaker SPEAKER_21
transcript.pyannote[1986].start 10287.55409375
transcript.pyannote[1986].end 10288.58346875
transcript.pyannote[1987].speaker SPEAKER_21
transcript.pyannote[1987].start 10289.34284375
transcript.pyannote[1987].end 10290.00096875
transcript.pyannote[1988].speaker SPEAKER_21
transcript.pyannote[1988].start 10291.82346875
transcript.pyannote[1988].end 10297.27409375
transcript.pyannote[1989].speaker SPEAKER_21
transcript.pyannote[1989].start 10297.93221875
transcript.pyannote[1989].end 10299.19784375
transcript.pyannote[1990].speaker SPEAKER_21
transcript.pyannote[1990].start 10299.28221875
transcript.pyannote[1990].end 10299.87284375
transcript.pyannote[1991].speaker SPEAKER_21
transcript.pyannote[1991].start 10300.95284375
transcript.pyannote[1991].end 10301.56034375
transcript.pyannote[1992].speaker SPEAKER_21
transcript.pyannote[1992].start 10302.11721875
transcript.pyannote[1992].end 10303.61909375
transcript.pyannote[1993].speaker SPEAKER_21
transcript.pyannote[1993].start 10304.49659375
transcript.pyannote[1993].end 10305.30659375
transcript.pyannote[1994].speaker SPEAKER_21
transcript.pyannote[1994].start 10306.42034375
transcript.pyannote[1994].end 10313.30534375
transcript.pyannote[1995].speaker SPEAKER_21
transcript.pyannote[1995].start 10313.38971875
transcript.pyannote[1995].end 10313.77784375
transcript.pyannote[1996].speaker SPEAKER_07
transcript.pyannote[1996].start 10314.09846875
transcript.pyannote[1996].end 10314.40221875
transcript.pyannote[1997].speaker SPEAKER_21
transcript.pyannote[1997].start 10315.43159375
transcript.pyannote[1997].end 10316.42721875
transcript.pyannote[1998].speaker SPEAKER_21
transcript.pyannote[1998].start 10316.62971875
transcript.pyannote[1998].end 10320.44346875
transcript.pyannote[1999].speaker SPEAKER_21
transcript.pyannote[1999].start 10321.03409375
transcript.pyannote[1999].end 10321.48971875
transcript.pyannote[2000].speaker SPEAKER_21
transcript.pyannote[2000].start 10322.04659375
transcript.pyannote[2000].end 10323.17721875
transcript.pyannote[2001].speaker SPEAKER_21
transcript.pyannote[2001].start 10323.44721875
transcript.pyannote[2001].end 10326.41721875
transcript.pyannote[2002].speaker SPEAKER_21
transcript.pyannote[2002].start 10327.44659375
transcript.pyannote[2002].end 10330.06221875
transcript.pyannote[2003].speaker SPEAKER_21
transcript.pyannote[2003].start 10330.39971875
transcript.pyannote[2003].end 10330.61909375
transcript.pyannote[2004].speaker SPEAKER_04
transcript.pyannote[2004].start 10330.61909375
transcript.pyannote[2004].end 10330.68659375
transcript.pyannote[2005].speaker SPEAKER_21
transcript.pyannote[2005].start 10330.68659375
transcript.pyannote[2005].end 10330.70346875
transcript.pyannote[2006].speaker SPEAKER_04
transcript.pyannote[2006].start 10330.70346875
transcript.pyannote[2006].end 10330.72034375
transcript.pyannote[2007].speaker SPEAKER_04
transcript.pyannote[2007].start 10331.51346875
transcript.pyannote[2007].end 10336.66034375
transcript.pyannote[2008].speaker SPEAKER_04
transcript.pyannote[2008].start 10336.94721875
transcript.pyannote[2008].end 10343.81534375
transcript.pyannote[2009].speaker SPEAKER_04
transcript.pyannote[2009].start 10344.38909375
transcript.pyannote[2009].end 10346.78534375
transcript.pyannote[2010].speaker SPEAKER_04
transcript.pyannote[2010].start 10346.97096875
transcript.pyannote[2010].end 10348.94534375
transcript.pyannote[2011].speaker SPEAKER_04
transcript.pyannote[2011].start 10349.45159375
transcript.pyannote[2011].end 10350.27846875
transcript.pyannote[2012].speaker SPEAKER_04
transcript.pyannote[2012].start 10350.54846875
transcript.pyannote[2012].end 10355.54346875
transcript.pyannote[2013].speaker SPEAKER_21
transcript.pyannote[2013].start 10354.37909375
transcript.pyannote[2013].end 10356.16784375
transcript.pyannote[2014].speaker SPEAKER_07
transcript.pyannote[2014].start 10356.16784375
transcript.pyannote[2014].end 10356.21846875
transcript.pyannote[2015].speaker SPEAKER_04
transcript.pyannote[2015].start 10356.21846875
transcript.pyannote[2015].end 10356.25221875
transcript.pyannote[2016].speaker SPEAKER_07
transcript.pyannote[2016].start 10356.25221875
transcript.pyannote[2016].end 10356.28596875
transcript.pyannote[2017].speaker SPEAKER_04
transcript.pyannote[2017].start 10356.28596875
transcript.pyannote[2017].end 10356.35346875
transcript.pyannote[2018].speaker SPEAKER_21
transcript.pyannote[2018].start 10356.35346875
transcript.pyannote[2018].end 10356.37034375
transcript.pyannote[2019].speaker SPEAKER_04
transcript.pyannote[2019].start 10356.37034375
transcript.pyannote[2019].end 10356.38721875
transcript.pyannote[2020].speaker SPEAKER_21
transcript.pyannote[2020].start 10356.38721875
transcript.pyannote[2020].end 10358.58096875
transcript.pyannote[2021].speaker SPEAKER_04
transcript.pyannote[2021].start 10356.40409375
transcript.pyannote[2021].end 10356.50534375
transcript.pyannote[2022].speaker SPEAKER_04
transcript.pyannote[2022].start 10356.57284375
transcript.pyannote[2022].end 10356.67409375
transcript.pyannote[2023].speaker SPEAKER_04
transcript.pyannote[2023].start 10357.60221875
transcript.pyannote[2023].end 10358.12534375
transcript.pyannote[2024].speaker SPEAKER_21
transcript.pyannote[2024].start 10359.25596875
transcript.pyannote[2024].end 10364.74034375
transcript.pyannote[2025].speaker SPEAKER_41
transcript.pyannote[2025].start 10364.60534375
transcript.pyannote[2025].end 10364.70659375
transcript.pyannote[2026].speaker SPEAKER_41
transcript.pyannote[2026].start 10364.74034375
transcript.pyannote[2026].end 10364.79096875
transcript.pyannote[2027].speaker SPEAKER_21
transcript.pyannote[2027].start 10364.79096875
transcript.pyannote[2027].end 10367.05221875
transcript.pyannote[2028].speaker SPEAKER_21
transcript.pyannote[2028].start 10367.84534375
transcript.pyannote[2028].end 10369.85346875
transcript.pyannote[2029].speaker SPEAKER_21
transcript.pyannote[2029].start 10370.22471875
transcript.pyannote[2029].end 10372.38471875
transcript.pyannote[2030].speaker SPEAKER_21
transcript.pyannote[2030].start 10372.72221875
transcript.pyannote[2030].end 10375.57409375
transcript.pyannote[2031].speaker SPEAKER_21
transcript.pyannote[2031].start 10375.65846875
transcript.pyannote[2031].end 10381.59846875
transcript.pyannote[2032].speaker SPEAKER_15
transcript.pyannote[2032].start 10379.18534375
transcript.pyannote[2032].end 10379.28659375
transcript.pyannote[2033].speaker SPEAKER_21
transcript.pyannote[2033].start 10382.23971875
transcript.pyannote[2033].end 10387.31909375
transcript.pyannote[2034].speaker SPEAKER_04
transcript.pyannote[2034].start 10387.31909375
transcript.pyannote[2034].end 10387.38659375
transcript.pyannote[2035].speaker SPEAKER_04
transcript.pyannote[2035].start 10387.47096875
transcript.pyannote[2035].end 10392.90471875
transcript.pyannote[2036].speaker SPEAKER_04
transcript.pyannote[2036].start 10393.47846875
transcript.pyannote[2036].end 10401.56159375
transcript.pyannote[2037].speaker SPEAKER_21
transcript.pyannote[2037].start 10401.27471875
transcript.pyannote[2037].end 10405.79721875
transcript.pyannote[2038].speaker SPEAKER_04
transcript.pyannote[2038].start 10405.49346875
transcript.pyannote[2038].end 10405.76346875
transcript.pyannote[2039].speaker SPEAKER_04
transcript.pyannote[2039].start 10405.79721875
transcript.pyannote[2039].end 10405.84784375
transcript.pyannote[2040].speaker SPEAKER_21
transcript.pyannote[2040].start 10405.84784375
transcript.pyannote[2040].end 10408.04159375
transcript.pyannote[2041].speaker SPEAKER_21
transcript.pyannote[2041].start 10408.48034375
transcript.pyannote[2041].end 10410.16784375
transcript.pyannote[2042].speaker SPEAKER_04
transcript.pyannote[2042].start 10410.16784375
transcript.pyannote[2042].end 10410.18471875
transcript.pyannote[2043].speaker SPEAKER_21
transcript.pyannote[2043].start 10411.02846875
transcript.pyannote[2043].end 10412.83409375
transcript.pyannote[2044].speaker SPEAKER_04
transcript.pyannote[2044].start 10411.07909375
transcript.pyannote[2044].end 10425.96284375
transcript.pyannote[2045].speaker SPEAKER_21
transcript.pyannote[2045].start 10425.96284375
transcript.pyannote[2045].end 10432.30784375
transcript.pyannote[2046].speaker SPEAKER_21
transcript.pyannote[2046].start 10432.89846875
transcript.pyannote[2046].end 10435.31159375
transcript.pyannote[2047].speaker SPEAKER_21
transcript.pyannote[2047].start 10435.76721875
transcript.pyannote[2047].end 10440.12096875
transcript.pyannote[2048].speaker SPEAKER_07
transcript.pyannote[2048].start 10440.37409375
transcript.pyannote[2048].end 10440.69471875
transcript.pyannote[2049].speaker SPEAKER_21
transcript.pyannote[2049].start 10440.69471875
transcript.pyannote[2049].end 10444.47471875
transcript.pyannote[2050].speaker SPEAKER_21
transcript.pyannote[2050].start 10444.98096875
transcript.pyannote[2050].end 10448.10284375
transcript.pyannote[2051].speaker SPEAKER_04
transcript.pyannote[2051].start 10448.10284375
transcript.pyannote[2051].end 10448.23784375
transcript.pyannote[2052].speaker SPEAKER_21
transcript.pyannote[2052].start 10448.23784375
transcript.pyannote[2052].end 10448.35596875
transcript.pyannote[2053].speaker SPEAKER_04
transcript.pyannote[2053].start 10448.35596875
transcript.pyannote[2053].end 10460.65784375
transcript.pyannote[2054].speaker SPEAKER_21
transcript.pyannote[2054].start 10461.06284375
transcript.pyannote[2054].end 10469.39909375
transcript.pyannote[2055].speaker SPEAKER_04
transcript.pyannote[2055].start 10465.19721875
transcript.pyannote[2055].end 10465.56846875
transcript.pyannote[2056].speaker SPEAKER_04
transcript.pyannote[2056].start 10466.26034375
transcript.pyannote[2056].end 10466.39534375
transcript.pyannote[2057].speaker SPEAKER_29
transcript.pyannote[2057].start 10475.22096875
transcript.pyannote[2057].end 10476.77346875
transcript.pyannote[2058].speaker SPEAKER_01
transcript.pyannote[2058].start 10487.67471875
transcript.pyannote[2058].end 10489.44659375
transcript.pyannote[2059].speaker SPEAKER_01
transcript.pyannote[2059].start 10490.22284375
transcript.pyannote[2059].end 10491.70784375
transcript.pyannote[2060].speaker SPEAKER_01
transcript.pyannote[2060].start 10491.89346875
transcript.pyannote[2060].end 10493.04096875
transcript.pyannote[2061].speaker SPEAKER_28
transcript.pyannote[2061].start 10493.05784375
transcript.pyannote[2061].end 10493.69909375
transcript.pyannote[2062].speaker SPEAKER_01
transcript.pyannote[2062].start 10499.84159375
transcript.pyannote[2062].end 10501.39409375
transcript.pyannote[2063].speaker SPEAKER_01
transcript.pyannote[2063].start 10502.33909375
transcript.pyannote[2063].end 10508.61659375
transcript.pyannote[2064].speaker SPEAKER_01
transcript.pyannote[2064].start 10508.78534375
transcript.pyannote[2064].end 10509.91596875
transcript.pyannote[2065].speaker SPEAKER_01
transcript.pyannote[2065].start 10510.55721875
transcript.pyannote[2065].end 10511.94096875
transcript.pyannote[2066].speaker SPEAKER_01
transcript.pyannote[2066].start 10512.19409375
transcript.pyannote[2066].end 10516.02471875
transcript.pyannote[2067].speaker SPEAKER_01
transcript.pyannote[2067].start 10517.00346875
transcript.pyannote[2067].end 10520.93534375
transcript.pyannote[2068].speaker SPEAKER_01
transcript.pyannote[2068].start 10521.76221875
transcript.pyannote[2068].end 10525.76159375
transcript.pyannote[2069].speaker SPEAKER_01
transcript.pyannote[2069].start 10526.40284375
transcript.pyannote[2069].end 10530.19971875
transcript.pyannote[2070].speaker SPEAKER_01
transcript.pyannote[2070].start 10530.65534375
transcript.pyannote[2070].end 10531.17846875
transcript.pyannote[2071].speaker SPEAKER_01
transcript.pyannote[2071].start 10531.56659375
transcript.pyannote[2071].end 10535.65034375
transcript.pyannote[2072].speaker SPEAKER_01
transcript.pyannote[2072].start 10536.05534375
transcript.pyannote[2072].end 10539.29534375
transcript.pyannote[2073].speaker SPEAKER_01
transcript.pyannote[2073].start 10540.05471875
transcript.pyannote[2073].end 10549.06596875
transcript.pyannote[2074].speaker SPEAKER_01
transcript.pyannote[2074].start 10549.97721875
transcript.pyannote[2074].end 10553.16659375
transcript.pyannote[2075].speaker SPEAKER_01
transcript.pyannote[2075].start 10554.16221875
transcript.pyannote[2075].end 10560.67596875
transcript.pyannote[2076].speaker SPEAKER_01
transcript.pyannote[2076].start 10561.51971875
transcript.pyannote[2076].end 10565.72159375
transcript.pyannote[2077].speaker SPEAKER_01
transcript.pyannote[2077].start 10566.32909375
transcript.pyannote[2077].end 10567.56096875
transcript.pyannote[2078].speaker SPEAKER_01
transcript.pyannote[2078].start 10568.18534375
transcript.pyannote[2078].end 10572.35346875
transcript.pyannote[2079].speaker SPEAKER_01
transcript.pyannote[2079].start 10573.31534375
transcript.pyannote[2079].end 10579.66034375
transcript.pyannote[2080].speaker SPEAKER_01
transcript.pyannote[2080].start 10579.96409375
transcript.pyannote[2080].end 10581.90471875
transcript.pyannote[2081].speaker SPEAKER_04
transcript.pyannote[2081].start 10583.35596875
transcript.pyannote[2081].end 10584.58784375
transcript.pyannote[2082].speaker SPEAKER_04
transcript.pyannote[2082].start 10584.87471875
transcript.pyannote[2082].end 10590.59534375
transcript.pyannote[2083].speaker SPEAKER_04
transcript.pyannote[2083].start 10591.00034375
transcript.pyannote[2083].end 10592.04659375
transcript.pyannote[2084].speaker SPEAKER_01
transcript.pyannote[2084].start 10592.33346875
transcript.pyannote[2084].end 10596.63659375
transcript.pyannote[2085].speaker SPEAKER_01
transcript.pyannote[2085].start 10597.04159375
transcript.pyannote[2085].end 10598.88096875
transcript.pyannote[2086].speaker SPEAKER_01
transcript.pyannote[2086].start 10599.04971875
transcript.pyannote[2086].end 10600.60221875
transcript.pyannote[2087].speaker SPEAKER_01
transcript.pyannote[2087].start 10601.73284375
transcript.pyannote[2087].end 10608.90471875
transcript.pyannote[2088].speaker SPEAKER_01
transcript.pyannote[2088].start 10609.52909375
transcript.pyannote[2088].end 10613.10659375
transcript.pyannote[2089].speaker SPEAKER_01
transcript.pyannote[2089].start 10613.46096875
transcript.pyannote[2089].end 10614.33846875
transcript.pyannote[2090].speaker SPEAKER_01
transcript.pyannote[2090].start 10614.89534375
transcript.pyannote[2090].end 10620.26159375
transcript.pyannote[2091].speaker SPEAKER_01
transcript.pyannote[2091].start 10621.34159375
transcript.pyannote[2091].end 10631.44971875
transcript.pyannote[2092].speaker SPEAKER_01
transcript.pyannote[2092].start 10632.15846875
transcript.pyannote[2092].end 10638.97596875
transcript.pyannote[2093].speaker SPEAKER_04
transcript.pyannote[2093].start 10638.97596875
transcript.pyannote[2093].end 10651.91909375
transcript.pyannote[2094].speaker SPEAKER_04
transcript.pyannote[2094].start 10652.10471875
transcript.pyannote[2094].end 10653.85971875
transcript.pyannote[2095].speaker SPEAKER_04
transcript.pyannote[2095].start 10653.97784375
transcript.pyannote[2095].end 10660.67721875
transcript.pyannote[2096].speaker SPEAKER_04
transcript.pyannote[2096].start 10661.20034375
transcript.pyannote[2096].end 10666.26284375
transcript.pyannote[2097].speaker SPEAKER_04
transcript.pyannote[2097].start 10666.36409375
transcript.pyannote[2097].end 10675.07159375
transcript.pyannote[2098].speaker SPEAKER_04
transcript.pyannote[2098].start 10675.12221875
transcript.pyannote[2098].end 10680.67409375
transcript.pyannote[2099].speaker SPEAKER_03
transcript.pyannote[2099].start 10680.20159375
transcript.pyannote[2099].end 10680.30284375
transcript.pyannote[2100].speaker SPEAKER_01
transcript.pyannote[2100].start 10680.30284375
transcript.pyannote[2100].end 10680.58971875
transcript.pyannote[2101].speaker SPEAKER_01
transcript.pyannote[2101].start 10680.67409375
transcript.pyannote[2101].end 10696.84034375
transcript.pyannote[2102].speaker SPEAKER_04
transcript.pyannote[2102].start 10694.03909375
transcript.pyannote[2102].end 10695.16971875
transcript.pyannote[2103].speaker SPEAKER_04
transcript.pyannote[2103].start 10696.08096875
transcript.pyannote[2103].end 10696.78971875
transcript.pyannote[2104].speaker SPEAKER_04
transcript.pyannote[2104].start 10696.84034375
transcript.pyannote[2104].end 10697.02596875
transcript.pyannote[2105].speaker SPEAKER_01
transcript.pyannote[2105].start 10697.02596875
transcript.pyannote[2105].end 10697.14409375
transcript.pyannote[2106].speaker SPEAKER_01
transcript.pyannote[2106].start 10697.65034375
transcript.pyannote[2106].end 10700.78909375
transcript.pyannote[2107].speaker SPEAKER_01
transcript.pyannote[2107].start 10701.75096875
transcript.pyannote[2107].end 10704.31596875
transcript.pyannote[2108].speaker SPEAKER_01
transcript.pyannote[2108].start 10705.42971875
transcript.pyannote[2108].end 10708.14659375
transcript.pyannote[2109].speaker SPEAKER_01
transcript.pyannote[2109].start 10709.00721875
transcript.pyannote[2109].end 10711.55534375
transcript.pyannote[2110].speaker SPEAKER_01
transcript.pyannote[2110].start 10712.23034375
transcript.pyannote[2110].end 10713.68159375
transcript.pyannote[2111].speaker SPEAKER_01
transcript.pyannote[2111].start 10714.55909375
transcript.pyannote[2111].end 10716.39846875
transcript.pyannote[2112].speaker SPEAKER_01
transcript.pyannote[2112].start 10716.49971875
transcript.pyannote[2112].end 10717.59659375
transcript.pyannote[2113].speaker SPEAKER_01
transcript.pyannote[2113].start 10718.00159375
transcript.pyannote[2113].end 10720.14471875
transcript.pyannote[2114].speaker SPEAKER_40
transcript.pyannote[2114].start 10718.57534375
transcript.pyannote[2114].end 10718.65971875
transcript.pyannote[2115].speaker SPEAKER_40
transcript.pyannote[2115].start 10720.39784375
transcript.pyannote[2115].end 10720.95471875
transcript.pyannote[2116].speaker SPEAKER_01
transcript.pyannote[2116].start 10720.63409375
transcript.pyannote[2116].end 10728.54846875
transcript.pyannote[2117].speaker SPEAKER_40
transcript.pyannote[2117].start 10722.30471875
transcript.pyannote[2117].end 10722.43971875
transcript.pyannote[2118].speaker SPEAKER_01
transcript.pyannote[2118].start 10728.78471875
transcript.pyannote[2118].end 10733.12159375
transcript.pyannote[2119].speaker SPEAKER_01
transcript.pyannote[2119].start 10734.21846875
transcript.pyannote[2119].end 10736.59784375
transcript.pyannote[2120].speaker SPEAKER_01
transcript.pyannote[2120].start 10737.12096875
transcript.pyannote[2120].end 10740.78284375
transcript.pyannote[2121].speaker SPEAKER_01
transcript.pyannote[2121].start 10741.60971875
transcript.pyannote[2121].end 10742.48721875
transcript.pyannote[2122].speaker SPEAKER_01
transcript.pyannote[2122].start 10743.83721875
transcript.pyannote[2122].end 10745.40659375
transcript.pyannote[2123].speaker SPEAKER_01
transcript.pyannote[2123].start 10745.91284375
transcript.pyannote[2123].end 10747.48221875
transcript.pyannote[2124].speaker SPEAKER_01
transcript.pyannote[2124].start 10747.90409375
transcript.pyannote[2124].end 10752.47721875
transcript.pyannote[2125].speaker SPEAKER_04
transcript.pyannote[2125].start 10752.47721875
transcript.pyannote[2125].end 10752.56159375
transcript.pyannote[2126].speaker SPEAKER_04
transcript.pyannote[2126].start 10753.37159375
transcript.pyannote[2126].end 10757.79284375
transcript.pyannote[2127].speaker SPEAKER_04
transcript.pyannote[2127].start 10758.19784375
transcript.pyannote[2127].end 10762.01159375
transcript.pyannote[2128].speaker SPEAKER_01
transcript.pyannote[2128].start 10758.33284375
transcript.pyannote[2128].end 10760.12159375
transcript.pyannote[2129].speaker SPEAKER_01
transcript.pyannote[2129].start 10760.66159375
transcript.pyannote[2129].end 10761.97784375
transcript.pyannote[2130].speaker SPEAKER_04
transcript.pyannote[2130].start 10762.24784375
transcript.pyannote[2130].end 10763.04096875
transcript.pyannote[2131].speaker SPEAKER_01
transcript.pyannote[2131].start 10762.34909375
transcript.pyannote[2131].end 10763.05784375
transcript.pyannote[2132].speaker SPEAKER_04
transcript.pyannote[2132].start 10763.05784375
transcript.pyannote[2132].end 10763.07471875
transcript.pyannote[2133].speaker SPEAKER_01
transcript.pyannote[2133].start 10763.07471875
transcript.pyannote[2133].end 10772.06909375
transcript.pyannote[2134].speaker SPEAKER_01
transcript.pyannote[2134].start 10772.59221875
transcript.pyannote[2134].end 10776.03471875
transcript.pyannote[2135].speaker SPEAKER_01
transcript.pyannote[2135].start 10776.55784375
transcript.pyannote[2135].end 10782.34596875
transcript.pyannote[2136].speaker SPEAKER_04
transcript.pyannote[2136].start 10781.94096875
transcript.pyannote[2136].end 10787.86409375
transcript.pyannote[2137].speaker SPEAKER_01
transcript.pyannote[2137].start 10787.86409375
transcript.pyannote[2137].end 10790.98596875
transcript.pyannote[2138].speaker SPEAKER_01
transcript.pyannote[2138].start 10791.59346875
transcript.pyannote[2138].end 10794.15846875
transcript.pyannote[2139].speaker SPEAKER_01
transcript.pyannote[2139].start 10794.49596875
transcript.pyannote[2139].end 10796.45346875
transcript.pyannote[2140].speaker SPEAKER_01
transcript.pyannote[2140].start 10796.95971875
transcript.pyannote[2140].end 10799.72721875
transcript.pyannote[2141].speaker SPEAKER_01
transcript.pyannote[2141].start 10800.65534375
transcript.pyannote[2141].end 10803.25409375
transcript.pyannote[2142].speaker SPEAKER_01
transcript.pyannote[2142].start 10804.21596875
transcript.pyannote[2142].end 10804.92471875
transcript.pyannote[2143].speaker SPEAKER_01
transcript.pyannote[2143].start 10805.95409375
transcript.pyannote[2143].end 10813.49721875
transcript.pyannote[2144].speaker SPEAKER_01
transcript.pyannote[2144].start 10814.17221875
transcript.pyannote[2144].end 10816.24784375
transcript.pyannote[2145].speaker SPEAKER_01
transcript.pyannote[2145].start 10816.80471875
transcript.pyannote[2145].end 10819.06596875
transcript.pyannote[2146].speaker SPEAKER_01
transcript.pyannote[2146].start 10819.43721875
transcript.pyannote[2146].end 10822.72784375
transcript.pyannote[2147].speaker SPEAKER_01
transcript.pyannote[2147].start 10822.98096875
transcript.pyannote[2147].end 10828.11096875
transcript.pyannote[2148].speaker SPEAKER_01
transcript.pyannote[2148].start 10828.75221875
transcript.pyannote[2148].end 10834.59096875
transcript.pyannote[2149].speaker SPEAKER_01
transcript.pyannote[2149].start 10835.09721875
transcript.pyannote[2149].end 10836.64971875
transcript.pyannote[2150].speaker SPEAKER_01
transcript.pyannote[2150].start 10837.12221875
transcript.pyannote[2150].end 10838.60721875
transcript.pyannote[2151].speaker SPEAKER_01
transcript.pyannote[2151].start 10839.23159375
transcript.pyannote[2151].end 10841.52659375
transcript.pyannote[2152].speaker SPEAKER_01
transcript.pyannote[2152].start 10841.94846875
transcript.pyannote[2152].end 10843.06221875
transcript.pyannote[2153].speaker SPEAKER_01
transcript.pyannote[2153].start 10843.90596875
transcript.pyannote[2153].end 10846.23471875
transcript.pyannote[2154].speaker SPEAKER_01
transcript.pyannote[2154].start 10846.55534375
transcript.pyannote[2154].end 10853.10284375
transcript.pyannote[2155].speaker SPEAKER_01
transcript.pyannote[2155].start 10853.60909375
transcript.pyannote[2155].end 10855.14471875
transcript.pyannote[2156].speaker SPEAKER_01
transcript.pyannote[2156].start 10856.25846875
transcript.pyannote[2156].end 10858.90784375
transcript.pyannote[2157].speaker SPEAKER_01
transcript.pyannote[2157].start 10859.86971875
transcript.pyannote[2157].end 10862.97471875
transcript.pyannote[2158].speaker SPEAKER_01
transcript.pyannote[2158].start 10863.66659375
transcript.pyannote[2158].end 10869.57284375
transcript.pyannote[2159].speaker SPEAKER_01
transcript.pyannote[2159].start 10871.39534375
transcript.pyannote[2159].end 10876.18784375
transcript.pyannote[2160].speaker SPEAKER_01
transcript.pyannote[2160].start 10876.57596875
transcript.pyannote[2160].end 10880.05221875
transcript.pyannote[2161].speaker SPEAKER_01
transcript.pyannote[2161].start 10880.38971875
transcript.pyannote[2161].end 10881.84096875
transcript.pyannote[2162].speaker SPEAKER_01
transcript.pyannote[2162].start 10882.19534375
transcript.pyannote[2162].end 10883.78159375
transcript.pyannote[2163].speaker SPEAKER_01
transcript.pyannote[2163].start 10884.76034375
transcript.pyannote[2163].end 10888.03409375
transcript.pyannote[2164].speaker SPEAKER_01
transcript.pyannote[2164].start 10888.81034375
transcript.pyannote[2164].end 10891.07159375
transcript.pyannote[2165].speaker SPEAKER_01
transcript.pyannote[2165].start 10891.13909375
transcript.pyannote[2165].end 10893.31596875
transcript.pyannote[2166].speaker SPEAKER_01
transcript.pyannote[2166].start 10894.17659375
transcript.pyannote[2166].end 10895.29034375
transcript.pyannote[2167].speaker SPEAKER_01
transcript.pyannote[2167].start 10895.94846875
transcript.pyannote[2167].end 10896.99471875
transcript.pyannote[2168].speaker SPEAKER_01
transcript.pyannote[2168].start 10897.65284375
transcript.pyannote[2168].end 10900.47096875
transcript.pyannote[2169].speaker SPEAKER_01
transcript.pyannote[2169].start 10901.46659375
transcript.pyannote[2169].end 10901.78721875
transcript.pyannote[2170].speaker SPEAKER_01
transcript.pyannote[2170].start 10902.07409375
transcript.pyannote[2170].end 10903.67721875
transcript.pyannote[2171].speaker SPEAKER_01
transcript.pyannote[2171].start 10903.84596875
transcript.pyannote[2171].end 10906.69784375
transcript.pyannote[2172].speaker SPEAKER_01
transcript.pyannote[2172].start 10907.49096875
transcript.pyannote[2172].end 10915.18596875
transcript.pyannote[2173].speaker SPEAKER_01
transcript.pyannote[2173].start 10916.62034375
transcript.pyannote[2173].end 10918.02096875
transcript.pyannote[2174].speaker SPEAKER_01
transcript.pyannote[2174].start 10919.43846875
transcript.pyannote[2174].end 10921.29471875
transcript.pyannote[2175].speaker SPEAKER_01
transcript.pyannote[2175].start 10921.91909375
transcript.pyannote[2175].end 10925.61471875
transcript.pyannote[2176].speaker SPEAKER_01
transcript.pyannote[2176].start 10925.98596875
transcript.pyannote[2176].end 10927.06596875
transcript.pyannote[2177].speaker SPEAKER_01
transcript.pyannote[2177].start 10927.50471875
transcript.pyannote[2177].end 10930.64346875
transcript.pyannote[2178].speaker SPEAKER_01
transcript.pyannote[2178].start 10931.38596875
transcript.pyannote[2178].end 10932.58409375
transcript.pyannote[2179].speaker SPEAKER_01
transcript.pyannote[2179].start 10933.56284375
transcript.pyannote[2179].end 10934.98034375
transcript.pyannote[2180].speaker SPEAKER_01
transcript.pyannote[2180].start 10936.07721875
transcript.pyannote[2180].end 10937.83221875
transcript.pyannote[2181].speaker SPEAKER_01
transcript.pyannote[2181].start 10938.79409375
transcript.pyannote[2181].end 10944.12659375
transcript.pyannote[2182].speaker SPEAKER_01
transcript.pyannote[2182].start 10944.83534375
transcript.pyannote[2182].end 10946.32034375
transcript.pyannote[2183].speaker SPEAKER_01
transcript.pyannote[2183].start 10946.72534375
transcript.pyannote[2183].end 10953.89721875
transcript.pyannote[2184].speaker SPEAKER_01
transcript.pyannote[2184].start 10954.40346875
transcript.pyannote[2184].end 10956.85034375
transcript.pyannote[2185].speaker SPEAKER_01
transcript.pyannote[2185].start 10957.22159375
transcript.pyannote[2185].end 10961.65971875
transcript.pyannote[2186].speaker SPEAKER_01
transcript.pyannote[2186].start 10962.19971875
transcript.pyannote[2186].end 10962.84096875
transcript.pyannote[2187].speaker SPEAKER_01
transcript.pyannote[2187].start 10964.20784375
transcript.pyannote[2187].end 10966.18221875
transcript.pyannote[2188].speaker SPEAKER_01
transcript.pyannote[2188].start 10966.73909375
transcript.pyannote[2188].end 10967.90346875
transcript.pyannote[2189].speaker SPEAKER_01
transcript.pyannote[2189].start 10967.97096875
transcript.pyannote[2189].end 10970.78909375
transcript.pyannote[2190].speaker SPEAKER_01
transcript.pyannote[2190].start 10971.09284375
transcript.pyannote[2190].end 10972.79721875
transcript.pyannote[2191].speaker SPEAKER_01
transcript.pyannote[2191].start 10973.89409375
transcript.pyannote[2191].end 10976.29034375
transcript.pyannote[2192].speaker SPEAKER_01
transcript.pyannote[2192].start 10977.47159375
transcript.pyannote[2192].end 10977.82596875
transcript.pyannote[2193].speaker SPEAKER_01
transcript.pyannote[2193].start 10979.17596875
transcript.pyannote[2193].end 10983.19221875
transcript.pyannote[2194].speaker SPEAKER_01
transcript.pyannote[2194].start 10983.46221875
transcript.pyannote[2194].end 10986.14534375
transcript.pyannote[2195].speaker SPEAKER_01
transcript.pyannote[2195].start 10986.61784375
transcript.pyannote[2195].end 10987.76534375
transcript.pyannote[2196].speaker SPEAKER_01
transcript.pyannote[2196].start 10987.96784375
transcript.pyannote[2196].end 10989.40221875
transcript.pyannote[2197].speaker SPEAKER_01
transcript.pyannote[2197].start 10990.06034375
transcript.pyannote[2197].end 10990.49909375
transcript.pyannote[2198].speaker SPEAKER_01
transcript.pyannote[2198].start 10991.44409375
transcript.pyannote[2198].end 10992.59159375
transcript.pyannote[2199].speaker SPEAKER_01
transcript.pyannote[2199].start 10993.55346875
transcript.pyannote[2199].end 10994.54909375
transcript.pyannote[2200].speaker SPEAKER_01
transcript.pyannote[2200].start 10995.22409375
transcript.pyannote[2200].end 10996.52346875
transcript.pyannote[2201].speaker SPEAKER_01
transcript.pyannote[2201].start 10997.46846875
transcript.pyannote[2201].end 10999.08846875
transcript.pyannote[2202].speaker SPEAKER_01
transcript.pyannote[2202].start 10999.24034375
transcript.pyannote[2202].end 11003.54346875
transcript.pyannote[2203].speaker SPEAKER_01
transcript.pyannote[2203].start 11004.97784375
transcript.pyannote[2203].end 11008.06596875
transcript.pyannote[2204].speaker SPEAKER_01
transcript.pyannote[2204].start 11008.84221875
transcript.pyannote[2204].end 11010.69846875
transcript.pyannote[2205].speaker SPEAKER_01
transcript.pyannote[2205].start 11011.52534375
transcript.pyannote[2205].end 11013.34784375
transcript.pyannote[2206].speaker SPEAKER_01
transcript.pyannote[2206].start 11014.02284375
transcript.pyannote[2206].end 11015.01846875
transcript.pyannote[2207].speaker SPEAKER_01
transcript.pyannote[2207].start 11015.98034375
transcript.pyannote[2207].end 11018.57909375
transcript.pyannote[2208].speaker SPEAKER_01
transcript.pyannote[2208].start 11019.32159375
transcript.pyannote[2208].end 11021.05971875
transcript.pyannote[2209].speaker SPEAKER_04
transcript.pyannote[2209].start 11022.44346875
transcript.pyannote[2209].end 11022.54471875
transcript.pyannote[2210].speaker SPEAKER_01
transcript.pyannote[2210].start 11022.54471875
transcript.pyannote[2210].end 11022.78096875
transcript.pyannote[2211].speaker SPEAKER_04
transcript.pyannote[2211].start 11022.78096875
transcript.pyannote[2211].end 11025.37971875
transcript.pyannote[2212].speaker SPEAKER_04
transcript.pyannote[2212].start 11025.48096875
transcript.pyannote[2212].end 11043.35159375
transcript.pyannote[2213].speaker SPEAKER_04
transcript.pyannote[2213].start 11043.55409375
transcript.pyannote[2213].end 11052.58221875
transcript.pyannote[2214].speaker SPEAKER_01
transcript.pyannote[2214].start 11047.84034375
transcript.pyannote[2214].end 11049.03846875
transcript.pyannote[2215].speaker SPEAKER_01
transcript.pyannote[2215].start 11052.29534375
transcript.pyannote[2215].end 11056.36221875
transcript.pyannote[2216].speaker SPEAKER_01
transcript.pyannote[2216].start 11056.75034375
transcript.pyannote[2216].end 11058.96096875
transcript.pyannote[2217].speaker SPEAKER_01
transcript.pyannote[2217].start 11059.63596875
transcript.pyannote[2217].end 11061.88034375
transcript.pyannote[2218].speaker SPEAKER_01
transcript.pyannote[2218].start 11062.69034375
transcript.pyannote[2218].end 11063.75346875
transcript.pyannote[2219].speaker SPEAKER_01
transcript.pyannote[2219].start 11064.54659375
transcript.pyannote[2219].end 11068.68096875
transcript.pyannote[2220].speaker SPEAKER_04
transcript.pyannote[2220].start 11064.59721875
transcript.pyannote[2220].end 11064.63096875
transcript.pyannote[2221].speaker SPEAKER_04
transcript.pyannote[2221].start 11064.66471875
transcript.pyannote[2221].end 11067.07784375
transcript.pyannote[2222].speaker SPEAKER_01
transcript.pyannote[2222].start 11069.69346875
transcript.pyannote[2222].end 11073.27096875
transcript.pyannote[2223].speaker SPEAKER_01
transcript.pyannote[2223].start 11074.19909375
transcript.pyannote[2223].end 11078.19846875
transcript.pyannote[2224].speaker SPEAKER_01
transcript.pyannote[2224].start 11078.87346875
transcript.pyannote[2224].end 11083.39596875
transcript.pyannote[2225].speaker SPEAKER_04
transcript.pyannote[2225].start 11082.92346875
transcript.pyannote[2225].end 11095.17471875
transcript.pyannote[2226].speaker SPEAKER_04
transcript.pyannote[2226].start 11095.32659375
transcript.pyannote[2226].end 11102.88659375
transcript.pyannote[2227].speaker SPEAKER_01
transcript.pyannote[2227].start 11096.40659375
transcript.pyannote[2227].end 11096.57534375
transcript.pyannote[2228].speaker SPEAKER_01
transcript.pyannote[2228].start 11097.03096875
transcript.pyannote[2228].end 11098.02659375
transcript.pyannote[2229].speaker SPEAKER_01
transcript.pyannote[2229].start 11100.54096875
transcript.pyannote[2229].end 11100.76034375
transcript.pyannote[2230].speaker SPEAKER_01
transcript.pyannote[2230].start 11101.11471875
transcript.pyannote[2230].end 11102.07659375
transcript.pyannote[2231].speaker SPEAKER_01
transcript.pyannote[2231].start 11103.19034375
transcript.pyannote[2231].end 11108.48909375
transcript.pyannote[2232].speaker SPEAKER_01
transcript.pyannote[2232].start 11108.67471875
transcript.pyannote[2232].end 11110.04159375
transcript.pyannote[2233].speaker SPEAKER_01
transcript.pyannote[2233].start 11111.07096875
transcript.pyannote[2233].end 11112.82596875
transcript.pyannote[2234].speaker SPEAKER_01
transcript.pyannote[2234].start 11113.55159375
transcript.pyannote[2234].end 11122.56284375
transcript.pyannote[2235].speaker SPEAKER_04
transcript.pyannote[2235].start 11118.25971875
transcript.pyannote[2235].end 11118.32721875
transcript.pyannote[2236].speaker SPEAKER_05
transcript.pyannote[2236].start 11118.32721875
transcript.pyannote[2236].end 11119.87971875
transcript.pyannote[2237].speaker SPEAKER_04
transcript.pyannote[2237].start 11119.87971875
transcript.pyannote[2237].end 11119.91346875
transcript.pyannote[2238].speaker SPEAKER_04
transcript.pyannote[2238].start 11121.66846875
transcript.pyannote[2238].end 11136.90659375
transcript.pyannote[2239].speaker SPEAKER_05
transcript.pyannote[2239].start 11122.56284375
transcript.pyannote[2239].end 11122.57971875
transcript.pyannote[2240].speaker SPEAKER_01
transcript.pyannote[2240].start 11122.57971875
transcript.pyannote[2240].end 11122.59659375
transcript.pyannote[2241].speaker SPEAKER_01
transcript.pyannote[2241].start 11132.45159375
transcript.pyannote[2241].end 11133.19409375
transcript.pyannote[2242].speaker SPEAKER_01
transcript.pyannote[2242].start 11134.84784375
transcript.pyannote[2242].end 11136.95721875
transcript.pyannote[2243].speaker SPEAKER_01
transcript.pyannote[2243].start 11137.17659375
transcript.pyannote[2243].end 11138.54346875
transcript.pyannote[2244].speaker SPEAKER_01
transcript.pyannote[2244].start 11139.06659375
transcript.pyannote[2244].end 11141.98596875
transcript.pyannote[2245].speaker SPEAKER_01
transcript.pyannote[2245].start 11142.45846875
transcript.pyannote[2245].end 11146.37346875
transcript.pyannote[2246].speaker SPEAKER_00
transcript.pyannote[2246].start 11145.10784375
transcript.pyannote[2246].end 11145.14159375
transcript.pyannote[2247].speaker SPEAKER_39
transcript.pyannote[2247].start 11145.14159375
transcript.pyannote[2247].end 11145.56346875
transcript.pyannote[2248].speaker SPEAKER_00
transcript.pyannote[2248].start 11145.56346875
transcript.pyannote[2248].end 11145.59721875
transcript.pyannote[2249].speaker SPEAKER_01
transcript.pyannote[2249].start 11147.16659375
transcript.pyannote[2249].end 11156.05971875
transcript.pyannote[2250].speaker SPEAKER_01
transcript.pyannote[2250].start 11156.68409375
transcript.pyannote[2250].end 11163.46784375
transcript.pyannote[2251].speaker SPEAKER_01
transcript.pyannote[2251].start 11164.71659375
transcript.pyannote[2251].end 11166.11721875
transcript.pyannote[2252].speaker SPEAKER_01
transcript.pyannote[2252].start 11167.16346875
transcript.pyannote[2252].end 11171.33159375
transcript.pyannote[2253].speaker SPEAKER_01
transcript.pyannote[2253].start 11171.70284375
transcript.pyannote[2253].end 11173.50846875
transcript.pyannote[2254].speaker SPEAKER_01
transcript.pyannote[2254].start 11174.03159375
transcript.pyannote[2254].end 11176.74846875
transcript.pyannote[2255].speaker SPEAKER_01
transcript.pyannote[2255].start 11177.28846875
transcript.pyannote[2255].end 11177.99721875
transcript.pyannote[2256].speaker SPEAKER_01
transcript.pyannote[2256].start 11178.01409375
transcript.pyannote[2256].end 11183.09346875
transcript.pyannote[2257].speaker SPEAKER_01
transcript.pyannote[2257].start 11183.68409375
transcript.pyannote[2257].end 11184.94971875
transcript.pyannote[2258].speaker SPEAKER_01
transcript.pyannote[2258].start 11185.67534375
transcript.pyannote[2258].end 11187.54846875
transcript.pyannote[2259].speaker SPEAKER_01
transcript.pyannote[2259].start 11188.18971875
transcript.pyannote[2259].end 11189.50596875
transcript.pyannote[2260].speaker SPEAKER_01
transcript.pyannote[2260].start 11190.48471875
transcript.pyannote[2260].end 11192.12159375
transcript.pyannote[2261].speaker SPEAKER_01
transcript.pyannote[2261].start 11193.25221875
transcript.pyannote[2261].end 11196.99846875
transcript.pyannote[2262].speaker SPEAKER_01
transcript.pyannote[2262].start 11197.52159375
transcript.pyannote[2262].end 11199.95159375
transcript.pyannote[2263].speaker SPEAKER_01
transcript.pyannote[2263].start 11200.91346875
transcript.pyannote[2263].end 11202.66846875
transcript.pyannote[2264].speaker SPEAKER_01
transcript.pyannote[2264].start 11203.88346875
transcript.pyannote[2264].end 11205.53721875
transcript.pyannote[2265].speaker SPEAKER_01
transcript.pyannote[2265].start 11206.75221875
transcript.pyannote[2265].end 11208.87846875
transcript.pyannote[2266].speaker SPEAKER_01
transcript.pyannote[2266].start 11209.19909375
transcript.pyannote[2266].end 11211.69659375
transcript.pyannote[2267].speaker SPEAKER_01
transcript.pyannote[2267].start 11212.35471875
transcript.pyannote[2267].end 11213.31659375
transcript.pyannote[2268].speaker SPEAKER_01
transcript.pyannote[2268].start 11213.50221875
transcript.pyannote[2268].end 11213.99159375
transcript.pyannote[2269].speaker SPEAKER_29
transcript.pyannote[2269].start 11221.51784375
transcript.pyannote[2269].end 11223.39096875
transcript.pyannote[2270].speaker SPEAKER_39
transcript.pyannote[2270].start 11224.85909375
transcript.pyannote[2270].end 11225.17971875
transcript.pyannote[2271].speaker SPEAKER_39
transcript.pyannote[2271].start 11225.60159375
transcript.pyannote[2271].end 11225.98971875
transcript.pyannote[2272].speaker SPEAKER_23
transcript.pyannote[2272].start 11238.42659375
transcript.pyannote[2272].end 11241.02534375
transcript.pyannote[2273].speaker SPEAKER_28
transcript.pyannote[2273].start 11241.19409375
transcript.pyannote[2273].end 11241.95346875
transcript.pyannote[2274].speaker SPEAKER_23
transcript.pyannote[2274].start 11249.09159375
transcript.pyannote[2274].end 11250.03659375
transcript.pyannote[2275].speaker SPEAKER_23
transcript.pyannote[2275].start 11250.40784375
transcript.pyannote[2275].end 11251.16721875
transcript.pyannote[2276].speaker SPEAKER_23
transcript.pyannote[2276].start 11253.27659375
transcript.pyannote[2276].end 11254.60971875
transcript.pyannote[2277].speaker SPEAKER_23
transcript.pyannote[2277].start 11255.21721875
transcript.pyannote[2277].end 11255.99346875
transcript.pyannote[2278].speaker SPEAKER_23
transcript.pyannote[2278].start 11257.22534375
transcript.pyannote[2278].end 11259.85784375
transcript.pyannote[2279].speaker SPEAKER_23
transcript.pyannote[2279].start 11260.53284375
transcript.pyannote[2279].end 11262.96284375
transcript.pyannote[2280].speaker SPEAKER_23
transcript.pyannote[2280].start 11263.80659375
transcript.pyannote[2280].end 11265.05534375
transcript.pyannote[2281].speaker SPEAKER_23
transcript.pyannote[2281].start 11265.86534375
transcript.pyannote[2281].end 11268.88596875
transcript.pyannote[2282].speaker SPEAKER_23
transcript.pyannote[2282].start 11269.83096875
transcript.pyannote[2282].end 11273.22284375
transcript.pyannote[2283].speaker SPEAKER_23
transcript.pyannote[2283].start 11273.54346875
transcript.pyannote[2283].end 11274.91034375
transcript.pyannote[2284].speaker SPEAKER_23
transcript.pyannote[2284].start 11275.43346875
transcript.pyannote[2284].end 11277.23909375
transcript.pyannote[2285].speaker SPEAKER_23
transcript.pyannote[2285].start 11278.48784375
transcript.pyannote[2285].end 11279.66909375
transcript.pyannote[2286].speaker SPEAKER_23
transcript.pyannote[2286].start 11279.93909375
transcript.pyannote[2286].end 11280.46221875
transcript.pyannote[2287].speaker SPEAKER_23
transcript.pyannote[2287].start 11281.17096875
transcript.pyannote[2287].end 11282.58846875
transcript.pyannote[2288].speaker SPEAKER_23
transcript.pyannote[2288].start 11283.46596875
transcript.pyannote[2288].end 11284.79909375
transcript.pyannote[2289].speaker SPEAKER_23
transcript.pyannote[2289].start 11285.60909375
transcript.pyannote[2289].end 11287.11096875
transcript.pyannote[2290].speaker SPEAKER_23
transcript.pyannote[2290].start 11287.92096875
transcript.pyannote[2290].end 11288.61284375
transcript.pyannote[2291].speaker SPEAKER_23
transcript.pyannote[2291].start 11288.96721875
transcript.pyannote[2291].end 11289.96284375
transcript.pyannote[2292].speaker SPEAKER_23
transcript.pyannote[2292].start 11290.46909375
transcript.pyannote[2292].end 11291.70096875
transcript.pyannote[2293].speaker SPEAKER_23
transcript.pyannote[2293].start 11292.62909375
transcript.pyannote[2293].end 11294.24909375
transcript.pyannote[2294].speaker SPEAKER_23
transcript.pyannote[2294].start 11294.83971875
transcript.pyannote[2294].end 11296.10534375
transcript.pyannote[2295].speaker SPEAKER_23
transcript.pyannote[2295].start 11296.88159375
transcript.pyannote[2295].end 11299.46346875
transcript.pyannote[2296].speaker SPEAKER_23
transcript.pyannote[2296].start 11300.17221875
transcript.pyannote[2296].end 11300.40846875
transcript.pyannote[2297].speaker SPEAKER_23
transcript.pyannote[2297].start 11301.16784375
transcript.pyannote[2297].end 11304.59346875
transcript.pyannote[2298].speaker SPEAKER_23
transcript.pyannote[2298].start 11305.30221875
transcript.pyannote[2298].end 11305.58909375
transcript.pyannote[2299].speaker SPEAKER_23
transcript.pyannote[2299].start 11305.92659375
transcript.pyannote[2299].end 11307.83346875
transcript.pyannote[2300].speaker SPEAKER_23
transcript.pyannote[2300].start 11308.20471875
transcript.pyannote[2300].end 11309.60534375
transcript.pyannote[2301].speaker SPEAKER_23
transcript.pyannote[2301].start 11310.31409375
transcript.pyannote[2301].end 11312.15346875
transcript.pyannote[2302].speaker SPEAKER_23
transcript.pyannote[2302].start 11313.46971875
transcript.pyannote[2302].end 11315.56221875
transcript.pyannote[2303].speaker SPEAKER_23
transcript.pyannote[2303].start 11315.88284375
transcript.pyannote[2303].end 11317.24971875
transcript.pyannote[2304].speaker SPEAKER_23
transcript.pyannote[2304].start 11318.09346875
transcript.pyannote[2304].end 11318.44784375
transcript.pyannote[2305].speaker SPEAKER_23
transcript.pyannote[2305].start 11319.02159375
transcript.pyannote[2305].end 11319.69659375
transcript.pyannote[2306].speaker SPEAKER_23
transcript.pyannote[2306].start 11321.08034375
transcript.pyannote[2306].end 11322.16034375
transcript.pyannote[2307].speaker SPEAKER_23
transcript.pyannote[2307].start 11322.90284375
transcript.pyannote[2307].end 11324.65784375
transcript.pyannote[2308].speaker SPEAKER_23
transcript.pyannote[2308].start 11325.51846875
transcript.pyannote[2308].end 11327.83034375
transcript.pyannote[2309].speaker SPEAKER_23
transcript.pyannote[2309].start 11328.69096875
transcript.pyannote[2309].end 11329.90596875
transcript.pyannote[2310].speaker SPEAKER_23
transcript.pyannote[2310].start 11333.88846875
transcript.pyannote[2310].end 11334.76596875
transcript.pyannote[2311].speaker SPEAKER_23
transcript.pyannote[2311].start 11335.49159375
transcript.pyannote[2311].end 11337.16221875
transcript.pyannote[2312].speaker SPEAKER_23
transcript.pyannote[2312].start 11338.32659375
transcript.pyannote[2312].end 11342.29221875
transcript.pyannote[2313].speaker SPEAKER_23
transcript.pyannote[2313].start 11343.11909375
transcript.pyannote[2313].end 11343.77721875
transcript.pyannote[2314].speaker SPEAKER_23
transcript.pyannote[2314].start 11344.70534375
transcript.pyannote[2314].end 11345.56596875
transcript.pyannote[2315].speaker SPEAKER_23
transcript.pyannote[2315].start 11347.43909375
transcript.pyannote[2315].end 11348.77221875
transcript.pyannote[2316].speaker SPEAKER_23
transcript.pyannote[2316].start 11350.22346875
transcript.pyannote[2316].end 11351.18534375
transcript.pyannote[2317].speaker SPEAKER_23
transcript.pyannote[2317].start 11352.16409375
transcript.pyannote[2317].end 11352.68721875
transcript.pyannote[2318].speaker SPEAKER_23
transcript.pyannote[2318].start 11355.52221875
transcript.pyannote[2318].end 11356.73721875
transcript.pyannote[2319].speaker SPEAKER_23
transcript.pyannote[2319].start 11358.01971875
transcript.pyannote[2319].end 11360.46659375
transcript.pyannote[2320].speaker SPEAKER_23
transcript.pyannote[2320].start 11361.74909375
transcript.pyannote[2320].end 11364.33096875
transcript.pyannote[2321].speaker SPEAKER_23
transcript.pyannote[2321].start 11364.76971875
transcript.pyannote[2321].end 11366.00159375
transcript.pyannote[2322].speaker SPEAKER_23
transcript.pyannote[2322].start 11367.23346875
transcript.pyannote[2322].end 11369.84909375
transcript.pyannote[2323].speaker SPEAKER_23
transcript.pyannote[2323].start 11370.54096875
transcript.pyannote[2323].end 11371.68846875
transcript.pyannote[2324].speaker SPEAKER_23
transcript.pyannote[2324].start 11373.02159375
transcript.pyannote[2324].end 11376.27846875
transcript.pyannote[2325].speaker SPEAKER_23
transcript.pyannote[2325].start 11377.71284375
transcript.pyannote[2325].end 11379.87284375
transcript.pyannote[2326].speaker SPEAKER_23
transcript.pyannote[2326].start 11380.98659375
transcript.pyannote[2326].end 11382.37034375
transcript.pyannote[2327].speaker SPEAKER_23
transcript.pyannote[2327].start 11383.26471875
transcript.pyannote[2327].end 11383.88909375
transcript.pyannote[2328].speaker SPEAKER_23
transcript.pyannote[2328].start 11385.32346875
transcript.pyannote[2328].end 11386.50471875
transcript.pyannote[2329].speaker SPEAKER_23
transcript.pyannote[2329].start 11387.53409375
transcript.pyannote[2329].end 11388.58034375
transcript.pyannote[2330].speaker SPEAKER_23
transcript.pyannote[2330].start 11389.25534375
transcript.pyannote[2330].end 11389.98096875
transcript.pyannote[2331].speaker SPEAKER_23
transcript.pyannote[2331].start 11390.77409375
transcript.pyannote[2331].end 11392.24221875
transcript.pyannote[2332].speaker SPEAKER_23
transcript.pyannote[2332].start 11393.06909375
transcript.pyannote[2332].end 11394.04784375
transcript.pyannote[2333].speaker SPEAKER_23
transcript.pyannote[2333].start 11396.62971875
transcript.pyannote[2333].end 11399.07659375
transcript.pyannote[2334].speaker SPEAKER_23
transcript.pyannote[2334].start 11400.15659375
transcript.pyannote[2334].end 11403.54846875
transcript.pyannote[2335].speaker SPEAKER_23
transcript.pyannote[2335].start 11404.64534375
transcript.pyannote[2335].end 11406.80534375
transcript.pyannote[2336].speaker SPEAKER_23
transcript.pyannote[2336].start 11407.64909375
transcript.pyannote[2336].end 11408.99909375
transcript.pyannote[2337].speaker SPEAKER_23
transcript.pyannote[2337].start 11410.01159375
transcript.pyannote[2337].end 11412.81284375
transcript.pyannote[2338].speaker SPEAKER_23
transcript.pyannote[2338].start 11413.58909375
transcript.pyannote[2338].end 11415.07409375
transcript.pyannote[2339].speaker SPEAKER_23
transcript.pyannote[2339].start 11415.79971875
transcript.pyannote[2339].end 11418.31409375
transcript.pyannote[2340].speaker SPEAKER_23
transcript.pyannote[2340].start 11419.49534375
transcript.pyannote[2340].end 11421.33471875
transcript.pyannote[2341].speaker SPEAKER_23
transcript.pyannote[2341].start 11422.31346875
transcript.pyannote[2341].end 11427.98346875
transcript.pyannote[2342].speaker SPEAKER_23
transcript.pyannote[2342].start 11428.57409375
transcript.pyannote[2342].end 11430.54846875
transcript.pyannote[2343].speaker SPEAKER_23
transcript.pyannote[2343].start 11431.35846875
transcript.pyannote[2343].end 11433.51846875
transcript.pyannote[2344].speaker SPEAKER_23
transcript.pyannote[2344].start 11434.34534375
transcript.pyannote[2344].end 11435.99909375
transcript.pyannote[2345].speaker SPEAKER_23
transcript.pyannote[2345].start 11437.06221875
transcript.pyannote[2345].end 11438.80034375
transcript.pyannote[2346].speaker SPEAKER_23
transcript.pyannote[2346].start 11439.61034375
transcript.pyannote[2346].end 11439.93096875
transcript.pyannote[2347].speaker SPEAKER_23
transcript.pyannote[2347].start 11440.97721875
transcript.pyannote[2347].end 11441.78721875
transcript.pyannote[2348].speaker SPEAKER_23
transcript.pyannote[2348].start 11442.79971875
transcript.pyannote[2348].end 11444.06534375
transcript.pyannote[2349].speaker SPEAKER_23
transcript.pyannote[2349].start 11444.26784375
transcript.pyannote[2349].end 11445.14534375
transcript.pyannote[2350].speaker SPEAKER_23
transcript.pyannote[2350].start 11445.82034375
transcript.pyannote[2350].end 11447.57534375
transcript.pyannote[2351].speaker SPEAKER_23
transcript.pyannote[2351].start 11448.40221875
transcript.pyannote[2351].end 11450.02221875
transcript.pyannote[2352].speaker SPEAKER_23
transcript.pyannote[2352].start 11450.74784375
transcript.pyannote[2352].end 11451.52409375
transcript.pyannote[2353].speaker SPEAKER_23
transcript.pyannote[2353].start 11452.68846875
transcript.pyannote[2353].end 11454.44346875
transcript.pyannote[2354].speaker SPEAKER_23
transcript.pyannote[2354].start 11456.02971875
transcript.pyannote[2354].end 11459.28659375
transcript.pyannote[2355].speaker SPEAKER_23
transcript.pyannote[2355].start 11460.41721875
transcript.pyannote[2355].end 11460.46784375
transcript.pyannote[2356].speaker SPEAKER_23
transcript.pyannote[2356].start 11460.67034375
transcript.pyannote[2356].end 11462.52659375
transcript.pyannote[2357].speaker SPEAKER_23
transcript.pyannote[2357].start 11463.37034375
transcript.pyannote[2357].end 11466.07034375
transcript.pyannote[2358].speaker SPEAKER_23
transcript.pyannote[2358].start 11466.61034375
transcript.pyannote[2358].end 11468.41596875
transcript.pyannote[2359].speaker SPEAKER_23
transcript.pyannote[2359].start 11469.22596875
transcript.pyannote[2359].end 11471.30159375
transcript.pyannote[2360].speaker SPEAKER_23
transcript.pyannote[2360].start 11472.73596875
transcript.pyannote[2360].end 11473.56284375
transcript.pyannote[2361].speaker SPEAKER_23
transcript.pyannote[2361].start 11474.67659375
transcript.pyannote[2361].end 11478.81096875
transcript.pyannote[2362].speaker SPEAKER_23
transcript.pyannote[2362].start 11479.33409375
transcript.pyannote[2362].end 11481.03846875
transcript.pyannote[2363].speaker SPEAKER_23
transcript.pyannote[2363].start 11481.73034375
transcript.pyannote[2363].end 11483.90721875
transcript.pyannote[2364].speaker SPEAKER_23
transcript.pyannote[2364].start 11484.61596875
transcript.pyannote[2364].end 11484.98721875
transcript.pyannote[2365].speaker SPEAKER_23
transcript.pyannote[2365].start 11485.39221875
transcript.pyannote[2365].end 11488.68284375
transcript.pyannote[2366].speaker SPEAKER_23
transcript.pyannote[2366].start 11490.04971875
transcript.pyannote[2366].end 11490.33659375
transcript.pyannote[2367].speaker SPEAKER_23
transcript.pyannote[2367].start 11491.34909375
transcript.pyannote[2367].end 11492.34471875
transcript.pyannote[2368].speaker SPEAKER_23
transcript.pyannote[2368].start 11493.54284375
transcript.pyannote[2368].end 11495.87159375
transcript.pyannote[2369].speaker SPEAKER_23
transcript.pyannote[2369].start 11496.31034375
transcript.pyannote[2369].end 11500.59659375
transcript.pyannote[2370].speaker SPEAKER_23
transcript.pyannote[2370].start 11500.98471875
transcript.pyannote[2370].end 11503.36409375
transcript.pyannote[2371].speaker SPEAKER_23
transcript.pyannote[2371].start 11504.08971875
transcript.pyannote[2371].end 11505.72659375
transcript.pyannote[2372].speaker SPEAKER_23
transcript.pyannote[2372].start 11506.28346875
transcript.pyannote[2372].end 11508.12284375
transcript.pyannote[2373].speaker SPEAKER_23
transcript.pyannote[2373].start 11509.84409375
transcript.pyannote[2373].end 11513.28659375
transcript.pyannote[2374].speaker SPEAKER_23
transcript.pyannote[2374].start 11513.59034375
transcript.pyannote[2374].end 11515.44659375
transcript.pyannote[2375].speaker SPEAKER_23
transcript.pyannote[2375].start 11516.23971875
transcript.pyannote[2375].end 11517.33659375
transcript.pyannote[2376].speaker SPEAKER_23
transcript.pyannote[2376].start 11517.72471875
transcript.pyannote[2376].end 11518.06221875
transcript.pyannote[2377].speaker SPEAKER_23
transcript.pyannote[2377].start 11518.33221875
transcript.pyannote[2377].end 11519.51346875
transcript.pyannote[2378].speaker SPEAKER_23
transcript.pyannote[2378].start 11520.71159375
transcript.pyannote[2378].end 11522.17971875
transcript.pyannote[2379].speaker SPEAKER_23
transcript.pyannote[2379].start 11522.90534375
transcript.pyannote[2379].end 11524.44096875
transcript.pyannote[2380].speaker SPEAKER_23
transcript.pyannote[2380].start 11525.40284375
transcript.pyannote[2380].end 11526.31409375
transcript.pyannote[2381].speaker SPEAKER_23
transcript.pyannote[2381].start 11528.01846875
transcript.pyannote[2381].end 11531.03909375
transcript.pyannote[2382].speaker SPEAKER_23
transcript.pyannote[2382].start 11532.64221875
transcript.pyannote[2382].end 11533.50284375
transcript.pyannote[2383].speaker SPEAKER_23
transcript.pyannote[2383].start 11534.48159375
transcript.pyannote[2383].end 11535.73034375
transcript.pyannote[2384].speaker SPEAKER_23
transcript.pyannote[2384].start 11536.79346875
transcript.pyannote[2384].end 11538.41346875
transcript.pyannote[2385].speaker SPEAKER_23
transcript.pyannote[2385].start 11539.10534375
transcript.pyannote[2385].end 11540.32034375
transcript.pyannote[2386].speaker SPEAKER_23
transcript.pyannote[2386].start 11541.09659375
transcript.pyannote[2386].end 11541.65346875
transcript.pyannote[2387].speaker SPEAKER_00
transcript.pyannote[2387].start 11541.92346875
transcript.pyannote[2387].end 11542.44659375
transcript.pyannote[2388].speaker SPEAKER_00
transcript.pyannote[2388].start 11542.49721875
transcript.pyannote[2388].end 11544.69096875
transcript.pyannote[2389].speaker SPEAKER_23
transcript.pyannote[2389].start 11542.51409375
transcript.pyannote[2389].end 11543.72909375
transcript.pyannote[2390].speaker SPEAKER_23
transcript.pyannote[2390].start 11545.63596875
transcript.pyannote[2390].end 11547.22221875
transcript.pyannote[2391].speaker SPEAKER_23
transcript.pyannote[2391].start 11548.08284375
transcript.pyannote[2391].end 11549.95596875
transcript.pyannote[2392].speaker SPEAKER_23
transcript.pyannote[2392].start 11551.10346875
transcript.pyannote[2392].end 11551.39034375
transcript.pyannote[2393].speaker SPEAKER_23
transcript.pyannote[2393].start 11551.93034375
transcript.pyannote[2393].end 11553.04409375
transcript.pyannote[2394].speaker SPEAKER_23
transcript.pyannote[2394].start 11553.31409375
transcript.pyannote[2394].end 11554.20846875
transcript.pyannote[2395].speaker SPEAKER_23
transcript.pyannote[2395].start 11554.73159375
transcript.pyannote[2395].end 11555.17034375
transcript.pyannote[2396].speaker SPEAKER_23
transcript.pyannote[2396].start 11556.04784375
transcript.pyannote[2396].end 11558.22471875
transcript.pyannote[2397].speaker SPEAKER_23
transcript.pyannote[2397].start 11559.72659375
transcript.pyannote[2397].end 11560.85721875
transcript.pyannote[2398].speaker SPEAKER_23
transcript.pyannote[2398].start 11561.73471875
transcript.pyannote[2398].end 11562.84846875
transcript.pyannote[2399].speaker SPEAKER_23
transcript.pyannote[2399].start 11563.84409375
transcript.pyannote[2399].end 11564.67096875
transcript.pyannote[2400].speaker SPEAKER_23
transcript.pyannote[2400].start 11564.97471875
transcript.pyannote[2400].end 11568.88971875
transcript.pyannote[2401].speaker SPEAKER_23
transcript.pyannote[2401].start 11569.37909375
transcript.pyannote[2401].end 11571.40409375
transcript.pyannote[2402].speaker SPEAKER_23
transcript.pyannote[2402].start 11571.75846875
transcript.pyannote[2402].end 11573.37846875
transcript.pyannote[2403].speaker SPEAKER_23
transcript.pyannote[2403].start 11574.03659375
transcript.pyannote[2403].end 11575.70721875
transcript.pyannote[2404].speaker SPEAKER_23
transcript.pyannote[2404].start 11576.43284375
transcript.pyannote[2404].end 11578.77846875
transcript.pyannote[2405].speaker SPEAKER_23
transcript.pyannote[2405].start 11579.14971875
transcript.pyannote[2405].end 11580.43221875
transcript.pyannote[2406].speaker SPEAKER_23
transcript.pyannote[2406].start 11580.93846875
transcript.pyannote[2406].end 11581.71471875
transcript.pyannote[2407].speaker SPEAKER_23
transcript.pyannote[2407].start 11582.38971875
transcript.pyannote[2407].end 11584.70159375
transcript.pyannote[2408].speaker SPEAKER_23
transcript.pyannote[2408].start 11585.10659375
transcript.pyannote[2408].end 11585.89971875
transcript.pyannote[2409].speaker SPEAKER_23
transcript.pyannote[2409].start 11586.05159375
transcript.pyannote[2409].end 11586.54096875
transcript.pyannote[2410].speaker SPEAKER_23
transcript.pyannote[2410].start 11586.69284375
transcript.pyannote[2410].end 11588.48159375
transcript.pyannote[2411].speaker SPEAKER_23
transcript.pyannote[2411].start 11588.76846875
transcript.pyannote[2411].end 11590.16909375
transcript.pyannote[2412].speaker SPEAKER_23
transcript.pyannote[2412].start 11591.24909375
transcript.pyannote[2412].end 11591.26596875
transcript.pyannote[2413].speaker SPEAKER_04
transcript.pyannote[2413].start 11591.26596875
transcript.pyannote[2413].end 11594.80971875
transcript.pyannote[2414].speaker SPEAKER_04
transcript.pyannote[2414].start 11595.13034375
transcript.pyannote[2414].end 11600.07471875
transcript.pyannote[2415].speaker SPEAKER_04
transcript.pyannote[2415].start 11600.39534375
transcript.pyannote[2415].end 11604.86721875
transcript.pyannote[2416].speaker SPEAKER_04
transcript.pyannote[2416].start 11604.98534375
transcript.pyannote[2416].end 11611.04346875
transcript.pyannote[2417].speaker SPEAKER_04
transcript.pyannote[2417].start 11611.26284375
transcript.pyannote[2417].end 11613.18659375
transcript.pyannote[2418].speaker SPEAKER_04
transcript.pyannote[2418].start 11613.70971875
transcript.pyannote[2418].end 11615.98784375
transcript.pyannote[2419].speaker SPEAKER_04
transcript.pyannote[2419].start 11616.05534375
transcript.pyannote[2419].end 11619.63284375
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 11619.81846875
transcript.pyannote[2420].end 11644.15221875
transcript.pyannote[2421].speaker SPEAKER_04
transcript.pyannote[2421].start 11644.47284375
transcript.pyannote[2421].end 11646.54846875
transcript.pyannote[2422].speaker SPEAKER_23
transcript.pyannote[2422].start 11647.20659375
transcript.pyannote[2422].end 11648.13471875
transcript.pyannote[2423].speaker SPEAKER_23
transcript.pyannote[2423].start 11649.13034375
transcript.pyannote[2423].end 11651.12159375
transcript.pyannote[2424].speaker SPEAKER_23
transcript.pyannote[2424].start 11651.61096875
transcript.pyannote[2424].end 11653.21409375
transcript.pyannote[2425].speaker SPEAKER_23
transcript.pyannote[2425].start 11654.02409375
transcript.pyannote[2425].end 11655.84659375
transcript.pyannote[2426].speaker SPEAKER_23
transcript.pyannote[2426].start 11656.47096875
transcript.pyannote[2426].end 11658.07409375
transcript.pyannote[2427].speaker SPEAKER_04
transcript.pyannote[2427].start 11659.79534375
transcript.pyannote[2427].end 11659.81221875
transcript.pyannote[2428].speaker SPEAKER_23
transcript.pyannote[2428].start 11659.81221875
transcript.pyannote[2428].end 11661.34784375
transcript.pyannote[2429].speaker SPEAKER_04
transcript.pyannote[2429].start 11660.97659375
transcript.pyannote[2429].end 11661.28034375
transcript.pyannote[2430].speaker SPEAKER_23
transcript.pyannote[2430].start 11661.93846875
transcript.pyannote[2430].end 11662.74846875
transcript.pyannote[2431].speaker SPEAKER_23
transcript.pyannote[2431].start 11662.91721875
transcript.pyannote[2431].end 11666.03909375
transcript.pyannote[2432].speaker SPEAKER_23
transcript.pyannote[2432].start 11666.81534375
transcript.pyannote[2432].end 11669.54909375
transcript.pyannote[2433].speaker SPEAKER_23
transcript.pyannote[2433].start 11671.10159375
transcript.pyannote[2433].end 11673.70034375
transcript.pyannote[2434].speaker SPEAKER_23
transcript.pyannote[2434].start 11674.52721875
transcript.pyannote[2434].end 11676.14721875
transcript.pyannote[2435].speaker SPEAKER_23
transcript.pyannote[2435].start 11676.97409375
transcript.pyannote[2435].end 11679.77534375
transcript.pyannote[2436].speaker SPEAKER_23
transcript.pyannote[2436].start 11681.47971875
transcript.pyannote[2436].end 11683.48784375
transcript.pyannote[2437].speaker SPEAKER_23
transcript.pyannote[2437].start 11685.27659375
transcript.pyannote[2437].end 11685.39471875
transcript.pyannote[2438].speaker SPEAKER_23
transcript.pyannote[2438].start 11686.15409375
transcript.pyannote[2438].end 11688.53346875
transcript.pyannote[2439].speaker SPEAKER_23
transcript.pyannote[2439].start 11689.41096875
transcript.pyannote[2439].end 11690.42346875
transcript.pyannote[2440].speaker SPEAKER_23
transcript.pyannote[2440].start 11691.26721875
transcript.pyannote[2440].end 11691.55409375
transcript.pyannote[2441].speaker SPEAKER_23
transcript.pyannote[2441].start 11691.92534375
transcript.pyannote[2441].end 11693.39346875
transcript.pyannote[2442].speaker SPEAKER_23
transcript.pyannote[2442].start 11694.00096875
transcript.pyannote[2442].end 11694.91221875
transcript.pyannote[2443].speaker SPEAKER_23
transcript.pyannote[2443].start 11694.96284375
transcript.pyannote[2443].end 11697.03846875
transcript.pyannote[2444].speaker SPEAKER_23
transcript.pyannote[2444].start 11697.12284375
transcript.pyannote[2444].end 11698.37159375
transcript.pyannote[2445].speaker SPEAKER_23
transcript.pyannote[2445].start 11698.59096875
transcript.pyannote[2445].end 11699.48534375
transcript.pyannote[2446].speaker SPEAKER_02
transcript.pyannote[2446].start 11698.64159375
transcript.pyannote[2446].end 11699.29971875
transcript.pyannote[2447].speaker SPEAKER_00
transcript.pyannote[2447].start 11699.29971875
transcript.pyannote[2447].end 11699.33346875
transcript.pyannote[2448].speaker SPEAKER_23
transcript.pyannote[2448].start 11699.97471875
transcript.pyannote[2448].end 11703.04596875
transcript.pyannote[2449].speaker SPEAKER_23
transcript.pyannote[2449].start 11703.60284375
transcript.pyannote[2449].end 11704.41284375
transcript.pyannote[2450].speaker SPEAKER_23
transcript.pyannote[2450].start 11705.08784375
transcript.pyannote[2450].end 11705.62784375
transcript.pyannote[2451].speaker SPEAKER_23
transcript.pyannote[2451].start 11706.58971875
transcript.pyannote[2451].end 11709.62721875
transcript.pyannote[2452].speaker SPEAKER_23
transcript.pyannote[2452].start 11710.25159375
transcript.pyannote[2452].end 11711.29784375
transcript.pyannote[2453].speaker SPEAKER_23
transcript.pyannote[2453].start 11712.46221875
transcript.pyannote[2453].end 11713.86284375
transcript.pyannote[2454].speaker SPEAKER_23
transcript.pyannote[2454].start 11714.57159375
transcript.pyannote[2454].end 11714.60534375
transcript.pyannote[2455].speaker SPEAKER_04
transcript.pyannote[2455].start 11714.60534375
transcript.pyannote[2455].end 11714.63909375
transcript.pyannote[2456].speaker SPEAKER_23
transcript.pyannote[2456].start 11714.63909375
transcript.pyannote[2456].end 11714.97659375
transcript.pyannote[2457].speaker SPEAKER_04
transcript.pyannote[2457].start 11714.97659375
transcript.pyannote[2457].end 11715.01034375
transcript.pyannote[2458].speaker SPEAKER_23
transcript.pyannote[2458].start 11715.01034375
transcript.pyannote[2458].end 11715.12846875
transcript.pyannote[2459].speaker SPEAKER_04
transcript.pyannote[2459].start 11715.12846875
transcript.pyannote[2459].end 11715.14534375
transcript.pyannote[2460].speaker SPEAKER_23
transcript.pyannote[2460].start 11715.14534375
transcript.pyannote[2460].end 11715.43221875
transcript.pyannote[2461].speaker SPEAKER_04
transcript.pyannote[2461].start 11715.43221875
transcript.pyannote[2461].end 11722.38471875
transcript.pyannote[2462].speaker SPEAKER_23
transcript.pyannote[2462].start 11715.48284375
transcript.pyannote[2462].end 11716.30971875
transcript.pyannote[2463].speaker SPEAKER_04
transcript.pyannote[2463].start 11722.84034375
transcript.pyannote[2463].end 11731.76721875
transcript.pyannote[2464].speaker SPEAKER_04
transcript.pyannote[2464].start 11731.83471875
transcript.pyannote[2464].end 11734.36596875
transcript.pyannote[2465].speaker SPEAKER_04
transcript.pyannote[2465].start 11734.45034375
transcript.pyannote[2465].end 11735.71596875
transcript.pyannote[2466].speaker SPEAKER_04
transcript.pyannote[2466].start 11736.18846875
transcript.pyannote[2466].end 11737.30221875
transcript.pyannote[2467].speaker SPEAKER_04
transcript.pyannote[2467].start 11737.52159375
transcript.pyannote[2467].end 11739.64784375
transcript.pyannote[2468].speaker SPEAKER_04
transcript.pyannote[2468].start 11739.79971875
transcript.pyannote[2468].end 11742.58409375
transcript.pyannote[2469].speaker SPEAKER_04
transcript.pyannote[2469].start 11742.83721875
transcript.pyannote[2469].end 11745.48659375
transcript.pyannote[2470].speaker SPEAKER_04
transcript.pyannote[2470].start 11745.68909375
transcript.pyannote[2470].end 11748.65909375
transcript.pyannote[2471].speaker SPEAKER_04
transcript.pyannote[2471].start 11748.84471875
transcript.pyannote[2471].end 11751.03846875
transcript.pyannote[2472].speaker SPEAKER_23
transcript.pyannote[2472].start 11751.03846875
transcript.pyannote[2472].end 11751.05534375
transcript.pyannote[2473].speaker SPEAKER_23
transcript.pyannote[2473].start 11751.86534375
transcript.pyannote[2473].end 11753.43471875
transcript.pyannote[2474].speaker SPEAKER_23
transcript.pyannote[2474].start 11754.14346875
transcript.pyannote[2474].end 11755.13909375
transcript.pyannote[2475].speaker SPEAKER_23
transcript.pyannote[2475].start 11756.28659375
transcript.pyannote[2475].end 11757.48471875
transcript.pyannote[2476].speaker SPEAKER_23
transcript.pyannote[2476].start 11758.39596875
transcript.pyannote[2476].end 11759.52659375
transcript.pyannote[2477].speaker SPEAKER_23
transcript.pyannote[2477].start 11759.88096875
transcript.pyannote[2477].end 11761.60221875
transcript.pyannote[2478].speaker SPEAKER_23
transcript.pyannote[2478].start 11763.15471875
transcript.pyannote[2478].end 11764.47096875
transcript.pyannote[2479].speaker SPEAKER_23
transcript.pyannote[2479].start 11765.02784375
transcript.pyannote[2479].end 11766.12471875
transcript.pyannote[2480].speaker SPEAKER_23
transcript.pyannote[2480].start 11768.01471875
transcript.pyannote[2480].end 11769.44909375
transcript.pyannote[2481].speaker SPEAKER_23
transcript.pyannote[2481].start 11770.14096875
transcript.pyannote[2481].end 11771.82846875
transcript.pyannote[2482].speaker SPEAKER_23
transcript.pyannote[2482].start 11772.95909375
transcript.pyannote[2482].end 11773.38096875
transcript.pyannote[2483].speaker SPEAKER_23
transcript.pyannote[2483].start 11773.53284375
transcript.pyannote[2483].end 11775.96284375
transcript.pyannote[2484].speaker SPEAKER_23
transcript.pyannote[2484].start 11776.99221875
transcript.pyannote[2484].end 11777.58284375
transcript.pyannote[2485].speaker SPEAKER_23
transcript.pyannote[2485].start 11778.62909375
transcript.pyannote[2485].end 11779.60784375
transcript.pyannote[2486].speaker SPEAKER_23
transcript.pyannote[2486].start 11780.11409375
transcript.pyannote[2486].end 11781.34596875
transcript.pyannote[2487].speaker SPEAKER_23
transcript.pyannote[2487].start 11782.72971875
transcript.pyannote[2487].end 11784.11346875
transcript.pyannote[2488].speaker SPEAKER_23
transcript.pyannote[2488].start 11785.10909375
transcript.pyannote[2488].end 11788.09596875
transcript.pyannote[2489].speaker SPEAKER_23
transcript.pyannote[2489].start 11788.99034375
transcript.pyannote[2489].end 11789.78346875
transcript.pyannote[2490].speaker SPEAKER_23
transcript.pyannote[2490].start 11790.55971875
transcript.pyannote[2490].end 11790.82971875
transcript.pyannote[2491].speaker SPEAKER_23
transcript.pyannote[2491].start 11791.33596875
transcript.pyannote[2491].end 11792.02784375
transcript.pyannote[2492].speaker SPEAKER_23
transcript.pyannote[2492].start 11793.17534375
transcript.pyannote[2492].end 11793.68159375
transcript.pyannote[2493].speaker SPEAKER_23
transcript.pyannote[2493].start 11794.00221875
transcript.pyannote[2493].end 11795.08221875
transcript.pyannote[2494].speaker SPEAKER_23
transcript.pyannote[2494].start 11795.21721875
transcript.pyannote[2494].end 11796.01034375
transcript.pyannote[2495].speaker SPEAKER_23
transcript.pyannote[2495].start 11796.85409375
transcript.pyannote[2495].end 11797.54596875
transcript.pyannote[2496].speaker SPEAKER_23
transcript.pyannote[2496].start 11799.19971875
transcript.pyannote[2496].end 11802.57471875
transcript.pyannote[2497].speaker SPEAKER_23
transcript.pyannote[2497].start 11802.99659375
transcript.pyannote[2497].end 11803.92471875
transcript.pyannote[2498].speaker SPEAKER_23
transcript.pyannote[2498].start 11804.97096875
transcript.pyannote[2498].end 11805.74721875
transcript.pyannote[2499].speaker SPEAKER_23
transcript.pyannote[2499].start 11806.33784375
transcript.pyannote[2499].end 11807.06346875
transcript.pyannote[2500].speaker SPEAKER_23
transcript.pyannote[2500].start 11807.70471875
transcript.pyannote[2500].end 11809.51034375
transcript.pyannote[2501].speaker SPEAKER_23
transcript.pyannote[2501].start 11809.88159375
transcript.pyannote[2501].end 11810.50596875
transcript.pyannote[2502].speaker SPEAKER_23
transcript.pyannote[2502].start 11811.50159375
transcript.pyannote[2502].end 11812.91909375
transcript.pyannote[2503].speaker SPEAKER_23
transcript.pyannote[2503].start 11813.62784375
transcript.pyannote[2503].end 11814.87659375
transcript.pyannote[2504].speaker SPEAKER_23
transcript.pyannote[2504].start 11816.95221875
transcript.pyannote[2504].end 11817.98159375
transcript.pyannote[2505].speaker SPEAKER_23
transcript.pyannote[2505].start 11818.38659375
transcript.pyannote[2505].end 11819.87159375
transcript.pyannote[2506].speaker SPEAKER_23
transcript.pyannote[2506].start 11820.63096875
transcript.pyannote[2506].end 11821.71096875
transcript.pyannote[2507].speaker SPEAKER_23
transcript.pyannote[2507].start 11822.52096875
transcript.pyannote[2507].end 11824.07346875
transcript.pyannote[2508].speaker SPEAKER_23
transcript.pyannote[2508].start 11825.79471875
transcript.pyannote[2508].end 11826.28409375
transcript.pyannote[2509].speaker SPEAKER_23
transcript.pyannote[2509].start 11827.36409375
transcript.pyannote[2509].end 11829.20346875
transcript.pyannote[2510].speaker SPEAKER_23
transcript.pyannote[2510].start 11830.75596875
transcript.pyannote[2510].end 11832.49409375
transcript.pyannote[2511].speaker SPEAKER_23
transcript.pyannote[2511].start 11833.32096875
transcript.pyannote[2511].end 11834.19846875
transcript.pyannote[2512].speaker SPEAKER_23
transcript.pyannote[2512].start 11835.61596875
transcript.pyannote[2512].end 11840.25659375
transcript.pyannote[2513].speaker SPEAKER_23
transcript.pyannote[2513].start 11840.89784375
transcript.pyannote[2513].end 11841.96096875
transcript.pyannote[2514].speaker SPEAKER_23
transcript.pyannote[2514].start 11842.82159375
transcript.pyannote[2514].end 11843.86784375
transcript.pyannote[2515].speaker SPEAKER_23
transcript.pyannote[2515].start 11845.23471875
transcript.pyannote[2515].end 11849.08221875
transcript.pyannote[2516].speaker SPEAKER_23
transcript.pyannote[2516].start 11850.34784375
transcript.pyannote[2516].end 11854.75221875
transcript.pyannote[2517].speaker SPEAKER_23
transcript.pyannote[2517].start 11855.62971875
transcript.pyannote[2517].end 11857.03034375
transcript.pyannote[2518].speaker SPEAKER_23
transcript.pyannote[2518].start 11857.06409375
transcript.pyannote[2518].end 11859.49409375
transcript.pyannote[2519].speaker SPEAKER_23
transcript.pyannote[2519].start 11860.35471875
transcript.pyannote[2519].end 11861.18159375
transcript.pyannote[2520].speaker SPEAKER_23
transcript.pyannote[2520].start 11862.43034375
transcript.pyannote[2520].end 11864.91096875
transcript.pyannote[2521].speaker SPEAKER_23
transcript.pyannote[2521].start 11865.28221875
transcript.pyannote[2521].end 11866.27784375
transcript.pyannote[2522].speaker SPEAKER_23
transcript.pyannote[2522].start 11867.13846875
transcript.pyannote[2522].end 11867.98221875
transcript.pyannote[2523].speaker SPEAKER_23
transcript.pyannote[2523].start 11868.52221875
transcript.pyannote[2523].end 11870.17596875
transcript.pyannote[2524].speaker SPEAKER_23
transcript.pyannote[2524].start 11870.46284375
transcript.pyannote[2524].end 11871.12096875
transcript.pyannote[2525].speaker SPEAKER_23
transcript.pyannote[2525].start 11871.45846875
transcript.pyannote[2525].end 11873.11221875
transcript.pyannote[2526].speaker SPEAKER_23
transcript.pyannote[2526].start 11873.34846875
transcript.pyannote[2526].end 11875.12034375
transcript.pyannote[2527].speaker SPEAKER_23
transcript.pyannote[2527].start 11875.60971875
transcript.pyannote[2527].end 11876.04846875
transcript.pyannote[2528].speaker SPEAKER_23
transcript.pyannote[2528].start 11876.50409375
transcript.pyannote[2528].end 11877.66846875
transcript.pyannote[2529].speaker SPEAKER_23
transcript.pyannote[2529].start 11879.25471875
transcript.pyannote[2529].end 11880.33471875
transcript.pyannote[2530].speaker SPEAKER_23
transcript.pyannote[2530].start 11881.21221875
transcript.pyannote[2530].end 11882.98409375
transcript.pyannote[2531].speaker SPEAKER_23
transcript.pyannote[2531].start 11883.18659375
transcript.pyannote[2531].end 11884.35096875
transcript.pyannote[2532].speaker SPEAKER_29
transcript.pyannote[2532].start 11886.29159375
transcript.pyannote[2532].end 11886.62909375
transcript.pyannote[2533].speaker SPEAKER_29
transcript.pyannote[2533].start 11890.74659375
transcript.pyannote[2533].end 11892.36659375
transcript.pyannote[2534].speaker SPEAKER_22
transcript.pyannote[2534].start 11903.97659375
transcript.pyannote[2534].end 11904.97221875
transcript.pyannote[2535].speaker SPEAKER_28
transcript.pyannote[2535].start 11905.14096875
transcript.pyannote[2535].end 11905.83284375
transcript.pyannote[2536].speaker SPEAKER_28
transcript.pyannote[2536].start 11910.20346875
transcript.pyannote[2536].end 11910.27096875
transcript.pyannote[2537].speaker SPEAKER_22
transcript.pyannote[2537].start 11910.27096875
transcript.pyannote[2537].end 11910.38909375
transcript.pyannote[2538].speaker SPEAKER_41
transcript.pyannote[2538].start 11910.38909375
transcript.pyannote[2538].end 11910.40596875
transcript.pyannote[2539].speaker SPEAKER_22
transcript.pyannote[2539].start 11913.12284375
transcript.pyannote[2539].end 11913.51096875
transcript.pyannote[2540].speaker SPEAKER_22
transcript.pyannote[2540].start 11914.06784375
transcript.pyannote[2540].end 11923.48409375
transcript.pyannote[2541].speaker SPEAKER_22
transcript.pyannote[2541].start 11923.83846875
transcript.pyannote[2541].end 11927.87159375
transcript.pyannote[2542].speaker SPEAKER_22
transcript.pyannote[2542].start 11928.36096875
transcript.pyannote[2542].end 11929.15409375
transcript.pyannote[2543].speaker SPEAKER_22
transcript.pyannote[2543].start 11929.57596875
transcript.pyannote[2543].end 11937.00096875
transcript.pyannote[2544].speaker SPEAKER_22
transcript.pyannote[2544].start 11937.50721875
transcript.pyannote[2544].end 11942.56971875
transcript.pyannote[2545].speaker SPEAKER_08
transcript.pyannote[2545].start 11939.41409375
transcript.pyannote[2545].end 11939.44784375
transcript.pyannote[2546].speaker SPEAKER_41
transcript.pyannote[2546].start 11939.44784375
transcript.pyannote[2546].end 11940.57846875
transcript.pyannote[2547].speaker SPEAKER_40
transcript.pyannote[2547].start 11942.70471875
transcript.pyannote[2547].end 11943.02534375
transcript.pyannote[2548].speaker SPEAKER_22
transcript.pyannote[2548].start 11943.02534375
transcript.pyannote[2548].end 11950.65284375
transcript.pyannote[2549].speaker SPEAKER_40
transcript.pyannote[2549].start 11943.05909375
transcript.pyannote[2549].end 11943.27846875
transcript.pyannote[2550].speaker SPEAKER_04
transcript.pyannote[2550].start 11949.06659375
transcript.pyannote[2550].end 11952.37409375
transcript.pyannote[2551].speaker SPEAKER_22
transcript.pyannote[2551].start 11951.42909375
transcript.pyannote[2551].end 11952.03659375
transcript.pyannote[2552].speaker SPEAKER_22
transcript.pyannote[2552].start 11952.37409375
transcript.pyannote[2552].end 11952.72846875
transcript.pyannote[2553].speaker SPEAKER_04
transcript.pyannote[2553].start 11952.39096875
transcript.pyannote[2553].end 11952.42471875
transcript.pyannote[2554].speaker SPEAKER_22
transcript.pyannote[2554].start 11952.84659375
transcript.pyannote[2554].end 11957.90909375
transcript.pyannote[2555].speaker SPEAKER_22
transcript.pyannote[2555].start 11958.14534375
transcript.pyannote[2555].end 11960.69346875
transcript.pyannote[2556].speaker SPEAKER_22
transcript.pyannote[2556].start 11960.77784375
transcript.pyannote[2556].end 11962.27971875
transcript.pyannote[2557].speaker SPEAKER_22
transcript.pyannote[2557].start 11962.80284375
transcript.pyannote[2557].end 11970.64971875
transcript.pyannote[2558].speaker SPEAKER_22
transcript.pyannote[2558].start 11970.75096875
transcript.pyannote[2558].end 11977.55159375
transcript.pyannote[2559].speaker SPEAKER_22
transcript.pyannote[2559].start 11977.92284375
transcript.pyannote[2559].end 11987.71034375
transcript.pyannote[2560].speaker SPEAKER_22
transcript.pyannote[2560].start 11988.01409375
transcript.pyannote[2560].end 11988.73971875
transcript.pyannote[2561].speaker SPEAKER_22
transcript.pyannote[2561].start 11988.75659375
transcript.pyannote[2561].end 11989.02659375
transcript.pyannote[2562].speaker SPEAKER_04
transcript.pyannote[2562].start 11989.02659375
transcript.pyannote[2562].end 11989.71846875
transcript.pyannote[2563].speaker SPEAKER_22
transcript.pyannote[2563].start 11989.71846875
transcript.pyannote[2563].end 11989.73534375
transcript.pyannote[2564].speaker SPEAKER_22
transcript.pyannote[2564].start 11990.05596875
transcript.pyannote[2564].end 11990.07284375
transcript.pyannote[2565].speaker SPEAKER_04
transcript.pyannote[2565].start 11990.07284375
transcript.pyannote[2565].end 11991.97971875
transcript.pyannote[2566].speaker SPEAKER_04
transcript.pyannote[2566].start 11992.41846875
transcript.pyannote[2566].end 11995.01721875
transcript.pyannote[2567].speaker SPEAKER_04
transcript.pyannote[2567].start 11995.43909375
transcript.pyannote[2567].end 12024.02534375
transcript.pyannote[2568].speaker SPEAKER_22
transcript.pyannote[2568].start 12023.11409375
transcript.pyannote[2568].end 12023.14784375
transcript.pyannote[2569].speaker SPEAKER_22
transcript.pyannote[2569].start 12023.16471875
transcript.pyannote[2569].end 12023.35034375
transcript.pyannote[2570].speaker SPEAKER_22
transcript.pyannote[2570].start 12024.02534375
transcript.pyannote[2570].end 12024.05909375
transcript.pyannote[2571].speaker SPEAKER_04
transcript.pyannote[2571].start 12024.05909375
transcript.pyannote[2571].end 12024.07596875
transcript.pyannote[2572].speaker SPEAKER_04
transcript.pyannote[2572].start 12024.49784375
transcript.pyannote[2572].end 12024.51471875
transcript.pyannote[2573].speaker SPEAKER_22
transcript.pyannote[2573].start 12024.51471875
transcript.pyannote[2573].end 12024.61596875
transcript.pyannote[2574].speaker SPEAKER_04
transcript.pyannote[2574].start 12024.61596875
transcript.pyannote[2574].end 12024.97034375
transcript.pyannote[2575].speaker SPEAKER_22
transcript.pyannote[2575].start 12024.97034375
transcript.pyannote[2575].end 12048.79784375
transcript.pyannote[2576].speaker SPEAKER_40
transcript.pyannote[2576].start 12030.26909375
transcript.pyannote[2576].end 12030.92721875
transcript.pyannote[2577].speaker SPEAKER_40
transcript.pyannote[2577].start 12030.97784375
transcript.pyannote[2577].end 12031.19721875
transcript.pyannote[2578].speaker SPEAKER_04
transcript.pyannote[2578].start 12048.79784375
transcript.pyannote[2578].end 12066.78659375
transcript.pyannote[2579].speaker SPEAKER_22
transcript.pyannote[2579].start 12060.98159375
transcript.pyannote[2579].end 12063.71534375
transcript.pyannote[2580].speaker SPEAKER_22
transcript.pyannote[2580].start 12063.90096875
transcript.pyannote[2580].end 12101.22846875
transcript.pyannote[2581].speaker SPEAKER_08
transcript.pyannote[2581].start 12070.41471875
transcript.pyannote[2581].end 12070.44846875
transcript.pyannote[2582].speaker SPEAKER_04
transcript.pyannote[2582].start 12070.44846875
transcript.pyannote[2582].end 12070.53284375
transcript.pyannote[2583].speaker SPEAKER_40
transcript.pyannote[2583].start 12070.53284375
transcript.pyannote[2583].end 12070.54971875
transcript.pyannote[2584].speaker SPEAKER_04
transcript.pyannote[2584].start 12070.54971875
transcript.pyannote[2584].end 12070.93784375
transcript.pyannote[2585].speaker SPEAKER_08
transcript.pyannote[2585].start 12070.93784375
transcript.pyannote[2585].end 12070.97159375
transcript.pyannote[2586].speaker SPEAKER_04
transcript.pyannote[2586].start 12098.96721875
transcript.pyannote[2586].end 12108.36659375
transcript.pyannote[2587].speaker SPEAKER_04
transcript.pyannote[2587].start 12108.56909375
transcript.pyannote[2587].end 12119.09909375
transcript.pyannote[2588].speaker SPEAKER_04
transcript.pyannote[2588].start 12119.38596875
transcript.pyannote[2588].end 12123.95909375
transcript.pyannote[2589].speaker SPEAKER_04
transcript.pyannote[2589].start 12124.31346875
transcript.pyannote[2589].end 12137.96534375
transcript.pyannote[2590].speaker SPEAKER_05
transcript.pyannote[2590].start 12126.81096875
transcript.pyannote[2590].end 12127.23284375
transcript.pyannote[2591].speaker SPEAKER_22
transcript.pyannote[2591].start 12137.44221875
transcript.pyannote[2591].end 12137.86409375
transcript.pyannote[2592].speaker SPEAKER_22
transcript.pyannote[2592].start 12137.96534375
transcript.pyannote[2592].end 12137.98221875
transcript.pyannote[2593].speaker SPEAKER_22
transcript.pyannote[2593].start 12138.18471875
transcript.pyannote[2593].end 12153.47346875
transcript.pyannote[2594].speaker SPEAKER_04
transcript.pyannote[2594].start 12145.18784375
transcript.pyannote[2594].end 12145.89659375
transcript.pyannote[2595].speaker SPEAKER_38
transcript.pyannote[2595].start 12152.27534375
transcript.pyannote[2595].end 12153.05159375
transcript.pyannote[2596].speaker SPEAKER_22
transcript.pyannote[2596].start 12153.96284375
transcript.pyannote[2596].end 12184.70909375
transcript.pyannote[2597].speaker SPEAKER_04
transcript.pyannote[2597].start 12184.99596875
transcript.pyannote[2597].end 12208.48596875
transcript.pyannote[2598].speaker SPEAKER_41
transcript.pyannote[2598].start 12207.59159375
transcript.pyannote[2598].end 12207.74346875
transcript.pyannote[2599].speaker SPEAKER_04
transcript.pyannote[2599].start 12208.97534375
transcript.pyannote[2599].end 12210.32534375
transcript.pyannote[2600].speaker SPEAKER_04
transcript.pyannote[2600].start 12210.64596875
transcript.pyannote[2600].end 12221.34471875
transcript.pyannote[2601].speaker SPEAKER_04
transcript.pyannote[2601].start 12221.63159375
transcript.pyannote[2601].end 12223.99409375
transcript.pyannote[2602].speaker SPEAKER_04
transcript.pyannote[2602].start 12224.23034375
transcript.pyannote[2602].end 12224.68596875
transcript.pyannote[2603].speaker SPEAKER_04
transcript.pyannote[2603].start 12224.85471875
transcript.pyannote[2603].end 12225.54659375
transcript.pyannote[2604].speaker SPEAKER_04
transcript.pyannote[2604].start 12225.66471875
transcript.pyannote[2604].end 12232.02659375
transcript.pyannote[2605].speaker SPEAKER_04
transcript.pyannote[2605].start 12232.27971875
transcript.pyannote[2605].end 12233.29221875
transcript.pyannote[2606].speaker SPEAKER_04
transcript.pyannote[2606].start 12233.69721875
transcript.pyannote[2606].end 12236.48159375
transcript.pyannote[2607].speaker SPEAKER_04
transcript.pyannote[2607].start 12236.53221875
transcript.pyannote[2607].end 12236.54909375
transcript.pyannote[2608].speaker SPEAKER_22
transcript.pyannote[2608].start 12236.54909375
transcript.pyannote[2608].end 12236.63346875
transcript.pyannote[2609].speaker SPEAKER_04
transcript.pyannote[2609].start 12236.63346875
transcript.pyannote[2609].end 12236.88659375
transcript.pyannote[2610].speaker SPEAKER_22
transcript.pyannote[2610].start 12236.88659375
transcript.pyannote[2610].end 12238.27034375
transcript.pyannote[2611].speaker SPEAKER_04
transcript.pyannote[2611].start 12238.27034375
transcript.pyannote[2611].end 12238.48971875
transcript.pyannote[2612].speaker SPEAKER_29
transcript.pyannote[2612].start 12244.53096875
transcript.pyannote[2612].end 12247.61909375
transcript.pyannote[2613].speaker SPEAKER_29
transcript.pyannote[2613].start 12247.90596875
transcript.pyannote[2613].end 12249.96471875
transcript.pyannote[2614].speaker SPEAKER_14
transcript.pyannote[2614].start 12257.89596875
transcript.pyannote[2614].end 12258.87471875
transcript.pyannote[2615].speaker SPEAKER_14
transcript.pyannote[2615].start 12259.36409375
transcript.pyannote[2615].end 12260.25846875
transcript.pyannote[2616].speaker SPEAKER_28
transcript.pyannote[2616].start 12260.44409375
transcript.pyannote[2616].end 12261.15284375
transcript.pyannote[2617].speaker SPEAKER_14
transcript.pyannote[2617].start 12266.53596875
transcript.pyannote[2617].end 12266.78909375
transcript.pyannote[2618].speaker SPEAKER_14
transcript.pyannote[2618].start 12268.13909375
transcript.pyannote[2618].end 12269.08409375
transcript.pyannote[2619].speaker SPEAKER_14
transcript.pyannote[2619].start 12269.52284375
transcript.pyannote[2619].end 12270.78846875
transcript.pyannote[2620].speaker SPEAKER_14
transcript.pyannote[2620].start 12271.34534375
transcript.pyannote[2620].end 12280.54221875
transcript.pyannote[2621].speaker SPEAKER_08
transcript.pyannote[2621].start 12279.20909375
transcript.pyannote[2621].end 12279.76596875
transcript.pyannote[2622].speaker SPEAKER_14
transcript.pyannote[2622].start 12280.66034375
transcript.pyannote[2622].end 12288.01784375
transcript.pyannote[2623].speaker SPEAKER_14
transcript.pyannote[2623].start 12288.37221875
transcript.pyannote[2623].end 12290.34659375
transcript.pyannote[2624].speaker SPEAKER_14
transcript.pyannote[2624].start 12290.73471875
transcript.pyannote[2624].end 12291.83159375
transcript.pyannote[2625].speaker SPEAKER_14
transcript.pyannote[2625].start 12292.42221875
transcript.pyannote[2625].end 12296.69159375
transcript.pyannote[2626].speaker SPEAKER_14
transcript.pyannote[2626].start 12296.87721875
transcript.pyannote[2626].end 12301.43346875
transcript.pyannote[2627].speaker SPEAKER_14
transcript.pyannote[2627].start 12301.66971875
transcript.pyannote[2627].end 12302.58096875
transcript.pyannote[2628].speaker SPEAKER_14
transcript.pyannote[2628].start 12302.71596875
transcript.pyannote[2628].end 12309.21284375
transcript.pyannote[2629].speaker SPEAKER_14
transcript.pyannote[2629].start 12309.70221875
transcript.pyannote[2629].end 12313.46534375
transcript.pyannote[2630].speaker SPEAKER_14
transcript.pyannote[2630].start 12313.98846875
transcript.pyannote[2630].end 12315.18659375
transcript.pyannote[2631].speaker SPEAKER_14
transcript.pyannote[2631].start 12315.43971875
transcript.pyannote[2631].end 12316.13159375
transcript.pyannote[2632].speaker SPEAKER_14
transcript.pyannote[2632].start 12316.16534375
transcript.pyannote[2632].end 12318.24096875
transcript.pyannote[2633].speaker SPEAKER_14
transcript.pyannote[2633].start 12318.35909375
transcript.pyannote[2633].end 12321.27846875
transcript.pyannote[2634].speaker SPEAKER_14
transcript.pyannote[2634].start 12321.80159375
transcript.pyannote[2634].end 12335.30159375
transcript.pyannote[2635].speaker SPEAKER_14
transcript.pyannote[2635].start 12335.58846875
transcript.pyannote[2635].end 12343.21596875
transcript.pyannote[2636].speaker SPEAKER_14
transcript.pyannote[2636].start 12343.51971875
transcript.pyannote[2636].end 12345.93284375
transcript.pyannote[2637].speaker SPEAKER_14
transcript.pyannote[2637].start 12346.11846875
transcript.pyannote[2637].end 12347.45159375
transcript.pyannote[2638].speaker SPEAKER_14
transcript.pyannote[2638].start 12347.58659375
transcript.pyannote[2638].end 12353.13846875
transcript.pyannote[2639].speaker SPEAKER_04
transcript.pyannote[2639].start 12348.86909375
transcript.pyannote[2639].end 12349.74659375
transcript.pyannote[2640].speaker SPEAKER_04
transcript.pyannote[2640].start 12353.13846875
transcript.pyannote[2640].end 12363.07784375
transcript.pyannote[2641].speaker SPEAKER_14
transcript.pyannote[2641].start 12353.79659375
transcript.pyannote[2641].end 12353.88096875
transcript.pyannote[2642].speaker SPEAKER_14
transcript.pyannote[2642].start 12353.91471875
transcript.pyannote[2642].end 12354.69096875
transcript.pyannote[2643].speaker SPEAKER_14
transcript.pyannote[2643].start 12359.26409375
transcript.pyannote[2643].end 12361.15409375
transcript.pyannote[2644].speaker SPEAKER_14
transcript.pyannote[2644].start 12362.55471875
transcript.pyannote[2644].end 12362.67284375
transcript.pyannote[2645].speaker SPEAKER_39
transcript.pyannote[2645].start 12362.67284375
transcript.pyannote[2645].end 12362.68971875
transcript.pyannote[2646].speaker SPEAKER_04
transcript.pyannote[2646].start 12363.70221875
transcript.pyannote[2646].end 12383.54721875
transcript.pyannote[2647].speaker SPEAKER_14
transcript.pyannote[2647].start 12368.05596875
transcript.pyannote[2647].end 12371.16096875
transcript.pyannote[2648].speaker SPEAKER_14
transcript.pyannote[2648].start 12377.72534375
transcript.pyannote[2648].end 12378.87284375
transcript.pyannote[2649].speaker SPEAKER_14
transcript.pyannote[2649].start 12383.71596875
transcript.pyannote[2649].end 12384.03659375
transcript.pyannote[2650].speaker SPEAKER_04
transcript.pyannote[2650].start 12384.03659375
transcript.pyannote[2650].end 12384.07034375
transcript.pyannote[2651].speaker SPEAKER_14
transcript.pyannote[2651].start 12384.07034375
transcript.pyannote[2651].end 12384.08721875
transcript.pyannote[2652].speaker SPEAKER_04
transcript.pyannote[2652].start 12384.08721875
transcript.pyannote[2652].end 12384.13784375
transcript.pyannote[2653].speaker SPEAKER_14
transcript.pyannote[2653].start 12384.13784375
transcript.pyannote[2653].end 12385.45409375
transcript.pyannote[2654].speaker SPEAKER_04
transcript.pyannote[2654].start 12385.45409375
transcript.pyannote[2654].end 12390.87096875
transcript.pyannote[2655].speaker SPEAKER_14
transcript.pyannote[2655].start 12385.82534375
transcript.pyannote[2655].end 12386.50034375
transcript.pyannote[2656].speaker SPEAKER_14
transcript.pyannote[2656].start 12390.14534375
transcript.pyannote[2656].end 12390.92159375
transcript.pyannote[2657].speaker SPEAKER_04
transcript.pyannote[2657].start 12390.92159375
transcript.pyannote[2657].end 12406.41284375
transcript.pyannote[2658].speaker SPEAKER_41
transcript.pyannote[2658].start 12394.12784375
transcript.pyannote[2658].end 12395.39346875
transcript.pyannote[2659].speaker SPEAKER_14
transcript.pyannote[2659].start 12395.39346875
transcript.pyannote[2659].end 12395.79846875
transcript.pyannote[2660].speaker SPEAKER_40
transcript.pyannote[2660].start 12395.79846875
transcript.pyannote[2660].end 12395.89971875
transcript.pyannote[2661].speaker SPEAKER_14
transcript.pyannote[2661].start 12395.89971875
transcript.pyannote[2661].end 12395.93346875
transcript.pyannote[2662].speaker SPEAKER_40
transcript.pyannote[2662].start 12395.93346875
transcript.pyannote[2662].end 12395.96721875
transcript.pyannote[2663].speaker SPEAKER_14
transcript.pyannote[2663].start 12397.31721875
transcript.pyannote[2663].end 12399.84846875
transcript.pyannote[2664].speaker SPEAKER_14
transcript.pyannote[2664].start 12400.25346875
transcript.pyannote[2664].end 12400.77659375
transcript.pyannote[2665].speaker SPEAKER_14
transcript.pyannote[2665].start 12401.35034375
transcript.pyannote[2665].end 12403.00409375
transcript.pyannote[2666].speaker SPEAKER_14
transcript.pyannote[2666].start 12406.17659375
transcript.pyannote[2666].end 12406.39596875
transcript.pyannote[2667].speaker SPEAKER_14
transcript.pyannote[2667].start 12406.41284375
transcript.pyannote[2667].end 12407.77971875
transcript.pyannote[2668].speaker SPEAKER_04
transcript.pyannote[2668].start 12407.77971875
transcript.pyannote[2668].end 12413.39909375
transcript.pyannote[2669].speaker SPEAKER_14
transcript.pyannote[2669].start 12407.83034375
transcript.pyannote[2669].end 12407.98221875
transcript.pyannote[2670].speaker SPEAKER_14
transcript.pyannote[2670].start 12411.71159375
transcript.pyannote[2670].end 12411.89721875
transcript.pyannote[2671].speaker SPEAKER_14
transcript.pyannote[2671].start 12412.65659375
transcript.pyannote[2671].end 12421.36409375
transcript.pyannote[2672].speaker SPEAKER_04
transcript.pyannote[2672].start 12416.60534375
transcript.pyannote[2672].end 12417.39846875
transcript.pyannote[2673].speaker SPEAKER_04
transcript.pyannote[2673].start 12419.67659375
transcript.pyannote[2673].end 12421.49909375
transcript.pyannote[2674].speaker SPEAKER_14
transcript.pyannote[2674].start 12421.49909375
transcript.pyannote[2674].end 12422.20784375
transcript.pyannote[2675].speaker SPEAKER_14
transcript.pyannote[2675].start 12422.41034375
transcript.pyannote[2675].end 12429.19409375
transcript.pyannote[2676].speaker SPEAKER_14
transcript.pyannote[2676].start 12429.51471875
transcript.pyannote[2676].end 12430.83096875
transcript.pyannote[2677].speaker SPEAKER_14
transcript.pyannote[2677].start 12430.91534375
transcript.pyannote[2677].end 12431.40471875
transcript.pyannote[2678].speaker SPEAKER_04
transcript.pyannote[2678].start 12431.40471875
transcript.pyannote[2678].end 12431.43846875
transcript.pyannote[2679].speaker SPEAKER_14
transcript.pyannote[2679].start 12431.62409375
transcript.pyannote[2679].end 12432.02909375
transcript.pyannote[2680].speaker SPEAKER_04
transcript.pyannote[2680].start 12432.02909375
transcript.pyannote[2680].end 12432.34971875
transcript.pyannote[2681].speaker SPEAKER_14
transcript.pyannote[2681].start 12432.34971875
transcript.pyannote[2681].end 12432.87284375
transcript.pyannote[2682].speaker SPEAKER_04
transcript.pyannote[2682].start 12432.87284375
transcript.pyannote[2682].end 12432.88971875
transcript.pyannote[2683].speaker SPEAKER_14
transcript.pyannote[2683].start 12432.88971875
transcript.pyannote[2683].end 12432.92346875
transcript.pyannote[2684].speaker SPEAKER_04
transcript.pyannote[2684].start 12432.92346875
transcript.pyannote[2684].end 12433.19346875
transcript.pyannote[2685].speaker SPEAKER_14
transcript.pyannote[2685].start 12433.19346875
transcript.pyannote[2685].end 12433.61534375
transcript.pyannote[2686].speaker SPEAKER_04
transcript.pyannote[2686].start 12434.15534375
transcript.pyannote[2686].end 12449.44409375
transcript.pyannote[2687].speaker SPEAKER_41
transcript.pyannote[2687].start 12443.21721875
transcript.pyannote[2687].end 12443.70659375
transcript.pyannote[2688].speaker SPEAKER_14
transcript.pyannote[2688].start 12449.42721875
transcript.pyannote[2688].end 12449.68034375
transcript.pyannote[2689].speaker SPEAKER_04
transcript.pyannote[2689].start 12449.59596875
transcript.pyannote[2689].end 12464.71596875
transcript.pyannote[2690].speaker SPEAKER_04
transcript.pyannote[2690].start 12465.03659375
transcript.pyannote[2690].end 12471.76971875
transcript.pyannote[2691].speaker SPEAKER_04
transcript.pyannote[2691].start 12472.14096875
transcript.pyannote[2691].end 12474.26721875
transcript.pyannote[2692].speaker SPEAKER_14
transcript.pyannote[2692].start 12474.26721875
transcript.pyannote[2692].end 12474.28409375
transcript.pyannote[2693].speaker SPEAKER_04
transcript.pyannote[2693].start 12474.28409375
transcript.pyannote[2693].end 12474.30096875
transcript.pyannote[2694].speaker SPEAKER_14
transcript.pyannote[2694].start 12474.30096875
transcript.pyannote[2694].end 12475.36409375
transcript.pyannote[2695].speaker SPEAKER_04
transcript.pyannote[2695].start 12475.14471875
transcript.pyannote[2695].end 12475.41471875
transcript.pyannote[2696].speaker SPEAKER_14
transcript.pyannote[2696].start 12475.41471875
transcript.pyannote[2696].end 12475.54971875
transcript.pyannote[2697].speaker SPEAKER_04
transcript.pyannote[2697].start 12475.54971875
transcript.pyannote[2697].end 12475.88721875
transcript.pyannote[2698].speaker SPEAKER_14
transcript.pyannote[2698].start 12475.88721875
transcript.pyannote[2698].end 12475.92096875
transcript.pyannote[2699].speaker SPEAKER_04
transcript.pyannote[2699].start 12475.92096875
transcript.pyannote[2699].end 12475.97159375
transcript.pyannote[2700].speaker SPEAKER_14
transcript.pyannote[2700].start 12475.97159375
transcript.pyannote[2700].end 12482.02971875
transcript.pyannote[2701].speaker SPEAKER_04
transcript.pyannote[2701].start 12479.70096875
transcript.pyannote[2701].end 12479.76846875
transcript.pyannote[2702].speaker SPEAKER_04
transcript.pyannote[2702].start 12482.02971875
transcript.pyannote[2702].end 12482.78909375
transcript.pyannote[2703].speaker SPEAKER_04
transcript.pyannote[2703].start 12483.31221875
transcript.pyannote[2703].end 12505.31721875
transcript.pyannote[2704].speaker SPEAKER_14
transcript.pyannote[2704].start 12493.33596875
transcript.pyannote[2704].end 12494.78721875
transcript.pyannote[2705].speaker SPEAKER_14
transcript.pyannote[2705].start 12503.91659375
transcript.pyannote[2705].end 12507.59534375
transcript.pyannote[2706].speaker SPEAKER_04
transcript.pyannote[2706].start 12507.59534375
transcript.pyannote[2706].end 12509.97471875
transcript.pyannote[2707].speaker SPEAKER_14
transcript.pyannote[2707].start 12509.97471875
transcript.pyannote[2707].end 12511.03784375
transcript.pyannote[2708].speaker SPEAKER_04
transcript.pyannote[2708].start 12510.51471875
transcript.pyannote[2708].end 12510.97034375
transcript.pyannote[2709].speaker SPEAKER_04
transcript.pyannote[2709].start 12511.03784375
transcript.pyannote[2709].end 12511.08846875
transcript.pyannote[2710].speaker SPEAKER_14
transcript.pyannote[2710].start 12511.08846875
transcript.pyannote[2710].end 12513.68721875
transcript.pyannote[2711].speaker SPEAKER_04
transcript.pyannote[2711].start 12511.10534375
transcript.pyannote[2711].end 12511.37534375
transcript.pyannote[2712].speaker SPEAKER_14
transcript.pyannote[2712].start 12514.00784375
transcript.pyannote[2712].end 12515.76284375
transcript.pyannote[2713].speaker SPEAKER_14
transcript.pyannote[2713].start 12516.03284375
transcript.pyannote[2713].end 12517.23096875
transcript.pyannote[2714].speaker SPEAKER_04
transcript.pyannote[2714].start 12517.33221875
transcript.pyannote[2714].end 12518.49659375
transcript.pyannote[2715].speaker SPEAKER_04
transcript.pyannote[2715].start 12518.73284375
transcript.pyannote[2715].end 12521.26409375
transcript.pyannote[2716].speaker SPEAKER_04
transcript.pyannote[2716].start 12521.75346875
transcript.pyannote[2716].end 12525.41534375
transcript.pyannote[2717].speaker SPEAKER_04
transcript.pyannote[2717].start 12525.65159375
transcript.pyannote[2717].end 12553.86659375
transcript.pyannote[2718].speaker SPEAKER_14
transcript.pyannote[2718].start 12539.60721875
transcript.pyannote[2718].end 12539.75909375
transcript.pyannote[2719].speaker SPEAKER_41
transcript.pyannote[2719].start 12539.75909375
transcript.pyannote[2719].end 12540.02909375
transcript.pyannote[2720].speaker SPEAKER_14
transcript.pyannote[2720].start 12540.02909375
transcript.pyannote[2720].end 12540.61971875
transcript.pyannote[2721].speaker SPEAKER_04
transcript.pyannote[2721].start 12553.95096875
transcript.pyannote[2721].end 12569.76284375
transcript.pyannote[2722].speaker SPEAKER_14
transcript.pyannote[2722].start 12556.36409375
transcript.pyannote[2722].end 12558.15284375
transcript.pyannote[2723].speaker SPEAKER_00
transcript.pyannote[2723].start 12558.87846875
transcript.pyannote[2723].end 12558.89534375
transcript.pyannote[2724].speaker SPEAKER_14
transcript.pyannote[2724].start 12558.89534375
transcript.pyannote[2724].end 12559.18221875
transcript.pyannote[2725].speaker SPEAKER_04
transcript.pyannote[2725].start 12570.11721875
transcript.pyannote[2725].end 12587.22846875
transcript.pyannote[2726].speaker SPEAKER_14
transcript.pyannote[2726].start 12578.53784375
transcript.pyannote[2726].end 12578.55471875
transcript.pyannote[2727].speaker SPEAKER_14
transcript.pyannote[2727].start 12578.57159375
transcript.pyannote[2727].end 12578.58846875
transcript.pyannote[2728].speaker SPEAKER_14
transcript.pyannote[2728].start 12578.85846875
transcript.pyannote[2728].end 12578.97659375
transcript.pyannote[2729].speaker SPEAKER_41
transcript.pyannote[2729].start 12578.97659375
transcript.pyannote[2729].end 12579.02721875
transcript.pyannote[2730].speaker SPEAKER_14
transcript.pyannote[2730].start 12579.02721875
transcript.pyannote[2730].end 12579.46596875
transcript.pyannote[2731].speaker SPEAKER_14
transcript.pyannote[2731].start 12580.32659375
transcript.pyannote[2731].end 12581.81159375
transcript.pyannote[2732].speaker SPEAKER_14
transcript.pyannote[2732].start 12586.11471875
transcript.pyannote[2732].end 12589.05096875
transcript.pyannote[2733].speaker SPEAKER_04
transcript.pyannote[2733].start 12588.47721875
transcript.pyannote[2733].end 12595.04159375
transcript.pyannote[2734].speaker SPEAKER_14
transcript.pyannote[2734].start 12589.65846875
transcript.pyannote[2734].end 12590.78909375
transcript.pyannote[2735].speaker SPEAKER_14
transcript.pyannote[2735].start 12595.21034375
transcript.pyannote[2735].end 12596.94846875
transcript.pyannote[2736].speaker SPEAKER_04
transcript.pyannote[2736].start 12596.94846875
transcript.pyannote[2736].end 12615.12284375
transcript.pyannote[2737].speaker SPEAKER_14
transcript.pyannote[2737].start 12596.99909375
transcript.pyannote[2737].end 12597.35346875
transcript.pyannote[2738].speaker SPEAKER_14
transcript.pyannote[2738].start 12614.68409375
transcript.pyannote[2738].end 12632.20034375
transcript.pyannote[2739].speaker SPEAKER_04
transcript.pyannote[2739].start 12617.53596875
transcript.pyannote[2739].end 12619.15596875
transcript.pyannote[2740].speaker SPEAKER_04
transcript.pyannote[2740].start 12632.20034375
transcript.pyannote[2740].end 12635.30534375
transcript.pyannote[2741].speaker SPEAKER_14
transcript.pyannote[2741].start 12632.43659375
transcript.pyannote[2741].end 12633.02721875
transcript.pyannote[2742].speaker SPEAKER_14
transcript.pyannote[2742].start 12634.32659375
transcript.pyannote[2742].end 12642.40971875
transcript.pyannote[2743].speaker SPEAKER_04
transcript.pyannote[2743].start 12638.46096875
transcript.pyannote[2743].end 12638.84909375
transcript.pyannote[2744].speaker SPEAKER_04
transcript.pyannote[2744].start 12642.03846875
transcript.pyannote[2744].end 12646.94909375
transcript.pyannote[2745].speaker SPEAKER_14
transcript.pyannote[2745].start 12643.64159375
transcript.pyannote[2745].end 12644.67096875
transcript.pyannote[2746].speaker SPEAKER_14
transcript.pyannote[2746].start 12646.94909375
transcript.pyannote[2746].end 12653.14221875
transcript.pyannote[2747].speaker SPEAKER_04
transcript.pyannote[2747].start 12649.86846875
transcript.pyannote[2747].end 12651.52221875
transcript.pyannote[2748].speaker SPEAKER_04
transcript.pyannote[2748].start 12652.36596875
transcript.pyannote[2748].end 12660.76971875
transcript.pyannote[2749].speaker SPEAKER_04
transcript.pyannote[2749].start 12660.97221875
transcript.pyannote[2749].end 12664.80284375
transcript.pyannote[2750].speaker SPEAKER_04
transcript.pyannote[2750].start 12665.14034375
transcript.pyannote[2750].end 12669.30846875
transcript.pyannote[2751].speaker SPEAKER_04
transcript.pyannote[2751].start 12669.57846875
transcript.pyannote[2751].end 12671.62034375
transcript.pyannote[2752].speaker SPEAKER_04
transcript.pyannote[2752].start 12671.67096875
transcript.pyannote[2752].end 12672.95346875
transcript.pyannote[2753].speaker SPEAKER_04
transcript.pyannote[2753].start 12673.12221875
transcript.pyannote[2753].end 12681.00284375
transcript.pyannote[2754].speaker SPEAKER_14
transcript.pyannote[2754].start 12681.00284375
transcript.pyannote[2754].end 12683.16284375
transcript.pyannote[2755].speaker SPEAKER_14
transcript.pyannote[2755].start 12683.38221875
transcript.pyannote[2755].end 12685.27221875
transcript.pyannote[2756].speaker SPEAKER_14
transcript.pyannote[2756].start 12685.42409375
transcript.pyannote[2756].end 12687.46596875
transcript.pyannote[2757].speaker SPEAKER_29
transcript.pyannote[2757].start 12691.98846875
transcript.pyannote[2757].end 12693.70971875
transcript.pyannote[2758].speaker SPEAKER_19
transcript.pyannote[2758].start 12703.75034375
transcript.pyannote[2758].end 12708.52596875
transcript.pyannote[2759].speaker SPEAKER_19
transcript.pyannote[2759].start 12708.89721875
transcript.pyannote[2759].end 12713.01471875
transcript.pyannote[2760].speaker SPEAKER_28
transcript.pyannote[2760].start 12712.13721875
transcript.pyannote[2760].end 12712.47471875
transcript.pyannote[2761].speaker SPEAKER_19
transcript.pyannote[2761].start 12713.77409375
transcript.pyannote[2761].end 12714.33096875
transcript.pyannote[2762].speaker SPEAKER_19
transcript.pyannote[2762].start 12716.27159375
transcript.pyannote[2762].end 12717.70596875
transcript.pyannote[2763].speaker SPEAKER_19
transcript.pyannote[2763].start 12719.98409375
transcript.pyannote[2763].end 12720.38909375
transcript.pyannote[2764].speaker SPEAKER_19
transcript.pyannote[2764].start 12720.92909375
transcript.pyannote[2764].end 12722.36346875
transcript.pyannote[2765].speaker SPEAKER_19
transcript.pyannote[2765].start 12722.68409375
transcript.pyannote[2765].end 12725.06346875
transcript.pyannote[2766].speaker SPEAKER_19
transcript.pyannote[2766].start 12725.38409375
transcript.pyannote[2766].end 12734.27721875
transcript.pyannote[2767].speaker SPEAKER_19
transcript.pyannote[2767].start 12734.86784375
transcript.pyannote[2767].end 12735.62721875
transcript.pyannote[2768].speaker SPEAKER_19
transcript.pyannote[2768].start 12736.04909375
transcript.pyannote[2768].end 12737.65221875
transcript.pyannote[2769].speaker SPEAKER_19
transcript.pyannote[2769].start 12737.87159375
transcript.pyannote[2769].end 12739.67721875
transcript.pyannote[2770].speaker SPEAKER_19
transcript.pyannote[2770].start 12739.74471875
transcript.pyannote[2770].end 12741.98909375
transcript.pyannote[2771].speaker SPEAKER_19
transcript.pyannote[2771].start 12742.76534375
transcript.pyannote[2771].end 12744.85784375
transcript.pyannote[2772].speaker SPEAKER_19
transcript.pyannote[2772].start 12745.46534375
transcript.pyannote[2772].end 12748.31721875
transcript.pyannote[2773].speaker SPEAKER_19
transcript.pyannote[2773].start 12748.70534375
transcript.pyannote[2773].end 12749.27909375
transcript.pyannote[2774].speaker SPEAKER_04
transcript.pyannote[2774].start 12749.27909375
transcript.pyannote[2774].end 12749.81909375
transcript.pyannote[2775].speaker SPEAKER_19
transcript.pyannote[2775].start 12749.81909375
transcript.pyannote[2775].end 12749.97096875
transcript.pyannote[2776].speaker SPEAKER_04
transcript.pyannote[2776].start 12749.97096875
transcript.pyannote[2776].end 12750.03846875
transcript.pyannote[2777].speaker SPEAKER_19
transcript.pyannote[2777].start 12750.03846875
transcript.pyannote[2777].end 12752.62034375
transcript.pyannote[2778].speaker SPEAKER_04
transcript.pyannote[2778].start 12750.24096875
transcript.pyannote[2778].end 12752.55284375
transcript.pyannote[2779].speaker SPEAKER_04
transcript.pyannote[2779].start 12752.62034375
transcript.pyannote[2779].end 12753.39659375
transcript.pyannote[2780].speaker SPEAKER_19
transcript.pyannote[2780].start 12753.39659375
transcript.pyannote[2780].end 12765.39471875
transcript.pyannote[2781].speaker SPEAKER_19
transcript.pyannote[2781].start 12765.90096875
transcript.pyannote[2781].end 12766.79534375
transcript.pyannote[2782].speaker SPEAKER_38
transcript.pyannote[2782].start 12766.91346875
transcript.pyannote[2782].end 12767.13284375
transcript.pyannote[2783].speaker SPEAKER_07
transcript.pyannote[2783].start 12767.13284375
transcript.pyannote[2783].end 12767.26784375
transcript.pyannote[2784].speaker SPEAKER_38
transcript.pyannote[2784].start 12767.26784375
transcript.pyannote[2784].end 12767.28471875
transcript.pyannote[2785].speaker SPEAKER_19
transcript.pyannote[2785].start 12767.28471875
transcript.pyannote[2785].end 12768.04409375
transcript.pyannote[2786].speaker SPEAKER_38
transcript.pyannote[2786].start 12767.30159375
transcript.pyannote[2786].end 12767.35221875
transcript.pyannote[2787].speaker SPEAKER_19
transcript.pyannote[2787].start 12768.55034375
transcript.pyannote[2787].end 12769.30971875
transcript.pyannote[2788].speaker SPEAKER_19
transcript.pyannote[2788].start 12769.74846875
transcript.pyannote[2788].end 12773.12346875
transcript.pyannote[2789].speaker SPEAKER_07
transcript.pyannote[2789].start 12773.12346875
transcript.pyannote[2789].end 12773.44409375
transcript.pyannote[2790].speaker SPEAKER_19
transcript.pyannote[2790].start 12773.44409375
transcript.pyannote[2790].end 12776.02596875
transcript.pyannote[2791].speaker SPEAKER_19
transcript.pyannote[2791].start 12776.88659375
transcript.pyannote[2791].end 12777.66284375
transcript.pyannote[2792].speaker SPEAKER_19
transcript.pyannote[2792].start 12778.10159375
transcript.pyannote[2792].end 12778.54034375
transcript.pyannote[2793].speaker SPEAKER_07
transcript.pyannote[2793].start 12778.64159375
transcript.pyannote[2793].end 12778.96221875
transcript.pyannote[2794].speaker SPEAKER_19
transcript.pyannote[2794].start 12779.26596875
transcript.pyannote[2794].end 12785.83034375
transcript.pyannote[2795].speaker SPEAKER_19
transcript.pyannote[2795].start 12786.11721875
transcript.pyannote[2795].end 12787.93971875
transcript.pyannote[2796].speaker SPEAKER_19
transcript.pyannote[2796].start 12788.32784375
transcript.pyannote[2796].end 12789.91409375
transcript.pyannote[2797].speaker SPEAKER_19
transcript.pyannote[2797].start 12790.47096875
transcript.pyannote[2797].end 12792.20909375
transcript.pyannote[2798].speaker SPEAKER_19
transcript.pyannote[2798].start 12792.93471875
transcript.pyannote[2798].end 12794.23409375
transcript.pyannote[2799].speaker SPEAKER_19
transcript.pyannote[2799].start 12794.80784375
transcript.pyannote[2799].end 12797.98034375
transcript.pyannote[2800].speaker SPEAKER_19
transcript.pyannote[2800].start 12798.21659375
transcript.pyannote[2800].end 12800.76471875
transcript.pyannote[2801].speaker SPEAKER_07
transcript.pyannote[2801].start 12801.22034375
transcript.pyannote[2801].end 12801.38909375
transcript.pyannote[2802].speaker SPEAKER_19
transcript.pyannote[2802].start 12801.38909375
transcript.pyannote[2802].end 12802.95846875
transcript.pyannote[2803].speaker SPEAKER_19
transcript.pyannote[2803].start 12803.63346875
transcript.pyannote[2803].end 12804.62909375
transcript.pyannote[2804].speaker SPEAKER_19
transcript.pyannote[2804].start 12805.55721875
transcript.pyannote[2804].end 12808.78034375
transcript.pyannote[2805].speaker SPEAKER_19
transcript.pyannote[2805].start 12809.48909375
transcript.pyannote[2805].end 12812.86409375
transcript.pyannote[2806].speaker SPEAKER_19
transcript.pyannote[2806].start 12813.13409375
transcript.pyannote[2806].end 12815.34471875
transcript.pyannote[2807].speaker SPEAKER_19
transcript.pyannote[2807].start 12815.88471875
transcript.pyannote[2807].end 12817.90971875
transcript.pyannote[2808].speaker SPEAKER_19
transcript.pyannote[2808].start 12817.97721875
transcript.pyannote[2808].end 12819.09096875
transcript.pyannote[2809].speaker SPEAKER_19
transcript.pyannote[2809].start 12819.58034375
transcript.pyannote[2809].end 12820.50846875
transcript.pyannote[2810].speaker SPEAKER_19
transcript.pyannote[2810].start 12820.79534375
transcript.pyannote[2810].end 12823.59659375
transcript.pyannote[2811].speaker SPEAKER_19
transcript.pyannote[2811].start 12824.33909375
transcript.pyannote[2811].end 12827.32596875
transcript.pyannote[2812].speaker SPEAKER_19
transcript.pyannote[2812].start 12827.93346875
transcript.pyannote[2812].end 12831.03846875
transcript.pyannote[2813].speaker SPEAKER_04
transcript.pyannote[2813].start 12832.27034375
transcript.pyannote[2813].end 12833.87346875
transcript.pyannote[2814].speaker SPEAKER_04
transcript.pyannote[2814].start 12834.14346875
transcript.pyannote[2814].end 12834.97034375
transcript.pyannote[2815].speaker SPEAKER_19
transcript.pyannote[2815].start 12834.97034375
transcript.pyannote[2815].end 12838.59846875
transcript.pyannote[2816].speaker SPEAKER_04
transcript.pyannote[2816].start 12835.83096875
transcript.pyannote[2816].end 12836.35409375
transcript.pyannote[2817].speaker SPEAKER_19
transcript.pyannote[2817].start 12838.78409375
transcript.pyannote[2817].end 12840.16784375
transcript.pyannote[2818].speaker SPEAKER_19
transcript.pyannote[2818].start 12841.31534375
transcript.pyannote[2818].end 12842.09159375
transcript.pyannote[2819].speaker SPEAKER_19
transcript.pyannote[2819].start 12842.80034375
transcript.pyannote[2819].end 12845.66909375
transcript.pyannote[2820].speaker SPEAKER_04
transcript.pyannote[2820].start 12846.98534375
transcript.pyannote[2820].end 12850.69784375
transcript.pyannote[2821].speaker SPEAKER_19
transcript.pyannote[2821].start 12847.86284375
transcript.pyannote[2821].end 12848.62221875
transcript.pyannote[2822].speaker SPEAKER_19
transcript.pyannote[2822].start 12850.25909375
transcript.pyannote[2822].end 12851.01846875
transcript.pyannote[2823].speaker SPEAKER_04
transcript.pyannote[2823].start 12851.01846875
transcript.pyannote[2823].end 12851.08596875
transcript.pyannote[2824].speaker SPEAKER_19
transcript.pyannote[2824].start 12851.08596875
transcript.pyannote[2824].end 12851.10284375
transcript.pyannote[2825].speaker SPEAKER_04
transcript.pyannote[2825].start 12851.10284375
transcript.pyannote[2825].end 12851.11971875
transcript.pyannote[2826].speaker SPEAKER_19
transcript.pyannote[2826].start 12851.11971875
transcript.pyannote[2826].end 12855.57471875
transcript.pyannote[2827].speaker SPEAKER_04
transcript.pyannote[2827].start 12851.27159375
transcript.pyannote[2827].end 12851.50784375
transcript.pyannote[2828].speaker SPEAKER_04
transcript.pyannote[2828].start 12851.82846875
transcript.pyannote[2828].end 12852.41909375
transcript.pyannote[2829].speaker SPEAKER_19
transcript.pyannote[2829].start 12855.69284375
transcript.pyannote[2829].end 12856.99221875
transcript.pyannote[2830].speaker SPEAKER_19
transcript.pyannote[2830].start 12857.27909375
transcript.pyannote[2830].end 12858.40971875
transcript.pyannote[2831].speaker SPEAKER_19
transcript.pyannote[2831].start 12858.54471875
transcript.pyannote[2831].end 12859.75971875
transcript.pyannote[2832].speaker SPEAKER_19
transcript.pyannote[2832].start 12860.13096875
transcript.pyannote[2832].end 12860.90721875
transcript.pyannote[2833].speaker SPEAKER_19
transcript.pyannote[2833].start 12861.31221875
transcript.pyannote[2833].end 12862.08846875
transcript.pyannote[2834].speaker SPEAKER_19
transcript.pyannote[2834].start 12862.20659375
transcript.pyannote[2834].end 12865.90221875
transcript.pyannote[2835].speaker SPEAKER_19
transcript.pyannote[2835].start 12866.00346875
transcript.pyannote[2835].end 12867.06659375
transcript.pyannote[2836].speaker SPEAKER_07
transcript.pyannote[2836].start 12867.30284375
transcript.pyannote[2836].end 12867.58971875
transcript.pyannote[2837].speaker SPEAKER_19
transcript.pyannote[2837].start 12867.67409375
transcript.pyannote[2837].end 12868.75409375
transcript.pyannote[2838].speaker SPEAKER_19
transcript.pyannote[2838].start 12869.09159375
transcript.pyannote[2838].end 12870.34034375
transcript.pyannote[2839].speaker SPEAKER_19
transcript.pyannote[2839].start 12870.67784375
transcript.pyannote[2839].end 12871.79159375
transcript.pyannote[2840].speaker SPEAKER_19
transcript.pyannote[2840].start 12872.46659375
transcript.pyannote[2840].end 12873.81659375
transcript.pyannote[2841].speaker SPEAKER_19
transcript.pyannote[2841].start 12874.05284375
transcript.pyannote[2841].end 12876.88784375
transcript.pyannote[2842].speaker SPEAKER_19
transcript.pyannote[2842].start 12877.42784375
transcript.pyannote[2842].end 12879.92534375
transcript.pyannote[2843].speaker SPEAKER_19
transcript.pyannote[2843].start 12880.04346875
transcript.pyannote[2843].end 12880.73534375
transcript.pyannote[2844].speaker SPEAKER_19
transcript.pyannote[2844].start 12881.15721875
transcript.pyannote[2844].end 12884.71784375
transcript.pyannote[2845].speaker SPEAKER_19
transcript.pyannote[2845].start 12885.07221875
transcript.pyannote[2845].end 12887.48534375
transcript.pyannote[2846].speaker SPEAKER_04
transcript.pyannote[2846].start 12887.68784375
transcript.pyannote[2846].end 12893.35784375
transcript.pyannote[2847].speaker SPEAKER_19
transcript.pyannote[2847].start 12892.96971875
transcript.pyannote[2847].end 12898.69034375
transcript.pyannote[2848].speaker SPEAKER_19
transcript.pyannote[2848].start 12898.82534375
transcript.pyannote[2848].end 12899.75346875
transcript.pyannote[2849].speaker SPEAKER_19
transcript.pyannote[2849].start 12900.14159375
transcript.pyannote[2849].end 12902.48721875
transcript.pyannote[2850].speaker SPEAKER_19
transcript.pyannote[2850].start 12902.52096875
transcript.pyannote[2850].end 12906.25034375
transcript.pyannote[2851].speaker SPEAKER_19
transcript.pyannote[2851].start 12906.60471875
transcript.pyannote[2851].end 12909.11909375
transcript.pyannote[2852].speaker SPEAKER_04
transcript.pyannote[2852].start 12909.11909375
transcript.pyannote[2852].end 12909.23721875
transcript.pyannote[2853].speaker SPEAKER_19
transcript.pyannote[2853].start 12909.23721875
transcript.pyannote[2853].end 12910.03034375
transcript.pyannote[2854].speaker SPEAKER_04
transcript.pyannote[2854].start 12910.03034375
transcript.pyannote[2854].end 12916.18971875
transcript.pyannote[2855].speaker SPEAKER_04
transcript.pyannote[2855].start 12916.66221875
transcript.pyannote[2855].end 12934.29659375
transcript.pyannote[2856].speaker SPEAKER_39
transcript.pyannote[2856].start 12922.38284375
transcript.pyannote[2856].end 12922.83846875
transcript.pyannote[2857].speaker SPEAKER_00
transcript.pyannote[2857].start 12925.43721875
transcript.pyannote[2857].end 12925.77471875
transcript.pyannote[2858].speaker SPEAKER_19
transcript.pyannote[2858].start 12933.70596875
transcript.pyannote[2858].end 12943.15596875
transcript.pyannote[2859].speaker SPEAKER_04
transcript.pyannote[2859].start 12935.49471875
transcript.pyannote[2859].end 12935.91659375
transcript.pyannote[2860].speaker SPEAKER_19
transcript.pyannote[2860].start 12943.44284375
transcript.pyannote[2860].end 12947.35784375
transcript.pyannote[2861].speaker SPEAKER_07
transcript.pyannote[2861].start 12944.50596875
transcript.pyannote[2861].end 12944.97846875
transcript.pyannote[2862].speaker SPEAKER_00
transcript.pyannote[2862].start 12944.97846875
transcript.pyannote[2862].end 12945.01221875
transcript.pyannote[2863].speaker SPEAKER_19
transcript.pyannote[2863].start 12947.40846875
transcript.pyannote[2863].end 12949.51784375
transcript.pyannote[2864].speaker SPEAKER_19
transcript.pyannote[2864].start 12949.80471875
transcript.pyannote[2864].end 12951.37409375
transcript.pyannote[2865].speaker SPEAKER_19
transcript.pyannote[2865].start 12951.72846875
transcript.pyannote[2865].end 12952.90971875
transcript.pyannote[2866].speaker SPEAKER_19
transcript.pyannote[2866].start 12953.29784375
transcript.pyannote[2866].end 12955.17096875
transcript.pyannote[2867].speaker SPEAKER_19
transcript.pyannote[2867].start 12955.18784375
transcript.pyannote[2867].end 12960.52034375
transcript.pyannote[2868].speaker SPEAKER_04
transcript.pyannote[2868].start 12961.26284375
transcript.pyannote[2868].end 12961.27971875
transcript.pyannote[2869].speaker SPEAKER_19
transcript.pyannote[2869].start 12961.27971875
transcript.pyannote[2869].end 12961.29659375
transcript.pyannote[2870].speaker SPEAKER_04
transcript.pyannote[2870].start 12961.29659375
transcript.pyannote[2870].end 12964.77284375
transcript.pyannote[2871].speaker SPEAKER_19
transcript.pyannote[2871].start 12963.05159375
transcript.pyannote[2871].end 12963.91221875
transcript.pyannote[2872].speaker SPEAKER_19
transcript.pyannote[2872].start 12964.73909375
transcript.pyannote[2872].end 12971.89409375
transcript.pyannote[2873].speaker SPEAKER_19
transcript.pyannote[2873].start 12972.46784375
transcript.pyannote[2873].end 12973.22721875
transcript.pyannote[2874].speaker SPEAKER_19
transcript.pyannote[2874].start 12973.80096875
transcript.pyannote[2874].end 12976.01159375
transcript.pyannote[2875].speaker SPEAKER_19
transcript.pyannote[2875].start 12976.36596875
transcript.pyannote[2875].end 12977.47971875
transcript.pyannote[2876].speaker SPEAKER_19
transcript.pyannote[2876].start 12977.85096875
transcript.pyannote[2876].end 12980.24721875
transcript.pyannote[2877].speaker SPEAKER_19
transcript.pyannote[2877].start 12980.60159375
transcript.pyannote[2877].end 12982.08659375
transcript.pyannote[2878].speaker SPEAKER_19
transcript.pyannote[2878].start 12982.89659375
transcript.pyannote[2878].end 12985.42784375
transcript.pyannote[2879].speaker SPEAKER_19
transcript.pyannote[2879].start 12985.96784375
transcript.pyannote[2879].end 12986.32221875
transcript.pyannote[2880].speaker SPEAKER_19
transcript.pyannote[2880].start 12986.54159375
transcript.pyannote[2880].end 12989.96721875
transcript.pyannote[2881].speaker SPEAKER_07
transcript.pyannote[2881].start 12990.06846875
transcript.pyannote[2881].end 12990.38909375
transcript.pyannote[2882].speaker SPEAKER_19
transcript.pyannote[2882].start 12990.57471875
transcript.pyannote[2882].end 12995.33346875
transcript.pyannote[2883].speaker SPEAKER_19
transcript.pyannote[2883].start 12996.93659375
transcript.pyannote[2883].end 12998.28659375
transcript.pyannote[2884].speaker SPEAKER_19
transcript.pyannote[2884].start 12998.53971875
transcript.pyannote[2884].end 12999.16409375
transcript.pyannote[2885].speaker SPEAKER_19
transcript.pyannote[2885].start 12999.50159375
transcript.pyannote[2885].end 13008.54659375
transcript.pyannote[2886].speaker SPEAKER_04
transcript.pyannote[2886].start 13010.16659375
transcript.pyannote[2886].end 13024.20659375
transcript.pyannote[2887].speaker SPEAKER_04
transcript.pyannote[2887].start 13024.61159375
transcript.pyannote[2887].end 13033.85909375
transcript.pyannote[2888].speaker SPEAKER_19
transcript.pyannote[2888].start 13032.54284375
transcript.pyannote[2888].end 13052.69159375
transcript.pyannote[2889].speaker SPEAKER_04
transcript.pyannote[2889].start 13034.28096875
transcript.pyannote[2889].end 13034.58471875
transcript.pyannote[2890].speaker SPEAKER_04
transcript.pyannote[2890].start 13040.76096875
transcript.pyannote[2890].end 13041.21659375
transcript.pyannote[2891].speaker SPEAKER_04
transcript.pyannote[2891].start 13042.80284375
transcript.pyannote[2891].end 13044.05159375
transcript.pyannote[2892].speaker SPEAKER_04
transcript.pyannote[2892].start 13049.04659375
transcript.pyannote[2892].end 13049.46846875
transcript.pyannote[2893].speaker SPEAKER_19
transcript.pyannote[2893].start 13052.84346875
transcript.pyannote[2893].end 13054.04159375
transcript.pyannote[2894].speaker SPEAKER_29
transcript.pyannote[2894].start 13060.90971875
transcript.pyannote[2894].end 13062.52971875
transcript.pyannote[2895].speaker SPEAKER_13
transcript.pyannote[2895].start 13071.10221875
transcript.pyannote[2895].end 13071.77721875
transcript.pyannote[2896].speaker SPEAKER_13
transcript.pyannote[2896].start 13072.01346875
transcript.pyannote[2896].end 13073.07659375
transcript.pyannote[2897].speaker SPEAKER_28
transcript.pyannote[2897].start 13073.24534375
transcript.pyannote[2897].end 13073.93721875
transcript.pyannote[2898].speaker SPEAKER_13
transcript.pyannote[2898].start 13081.27784375
transcript.pyannote[2898].end 13108.00784375
transcript.pyannote[2899].speaker SPEAKER_04
transcript.pyannote[2899].start 13092.44909375
transcript.pyannote[2899].end 13093.36034375
transcript.pyannote[2900].speaker SPEAKER_07
transcript.pyannote[2900].start 13096.34721875
transcript.pyannote[2900].end 13096.51596875
transcript.pyannote[2901].speaker SPEAKER_40
transcript.pyannote[2901].start 13106.42159375
transcript.pyannote[2901].end 13106.80971875
transcript.pyannote[2902].speaker SPEAKER_40
transcript.pyannote[2902].start 13107.55221875
transcript.pyannote[2902].end 13107.94034375
transcript.pyannote[2903].speaker SPEAKER_13
transcript.pyannote[2903].start 13108.34534375
transcript.pyannote[2903].end 13112.58096875
transcript.pyannote[2904].speaker SPEAKER_13
transcript.pyannote[2904].start 13113.15471875
transcript.pyannote[2904].end 13113.52596875
transcript.pyannote[2905].speaker SPEAKER_13
transcript.pyannote[2905].start 13113.69471875
transcript.pyannote[2905].end 13116.00659375
transcript.pyannote[2906].speaker SPEAKER_13
transcript.pyannote[2906].start 13116.25971875
transcript.pyannote[2906].end 13120.76534375
transcript.pyannote[2907].speaker SPEAKER_13
transcript.pyannote[2907].start 13121.76096875
transcript.pyannote[2907].end 13123.29659375
transcript.pyannote[2908].speaker SPEAKER_13
transcript.pyannote[2908].start 13123.39784375
transcript.pyannote[2908].end 13128.35909375
transcript.pyannote[2909].speaker SPEAKER_07
transcript.pyannote[2909].start 13128.07221875
transcript.pyannote[2909].end 13128.17346875
transcript.pyannote[2910].speaker SPEAKER_13
transcript.pyannote[2910].start 13129.00034375
transcript.pyannote[2910].end 13129.52346875
transcript.pyannote[2911].speaker SPEAKER_13
transcript.pyannote[2911].start 13129.74284375
transcript.pyannote[2911].end 13130.68784375
transcript.pyannote[2912].speaker SPEAKER_13
transcript.pyannote[2912].start 13131.17721875
transcript.pyannote[2912].end 13135.98659375
transcript.pyannote[2913].speaker SPEAKER_13
transcript.pyannote[2913].start 13136.77971875
transcript.pyannote[2913].end 13137.35346875
transcript.pyannote[2914].speaker SPEAKER_13
transcript.pyannote[2914].start 13137.87659375
transcript.pyannote[2914].end 13141.45409375
transcript.pyannote[2915].speaker SPEAKER_13
transcript.pyannote[2915].start 13141.94346875
transcript.pyannote[2915].end 13145.58846875
transcript.pyannote[2916].speaker SPEAKER_13
transcript.pyannote[2916].start 13145.74034375
transcript.pyannote[2916].end 13146.29721875
transcript.pyannote[2917].speaker SPEAKER_08
transcript.pyannote[2917].start 13146.29721875
transcript.pyannote[2917].end 13146.31409375
transcript.pyannote[2918].speaker SPEAKER_13
transcript.pyannote[2918].start 13146.31409375
transcript.pyannote[2918].end 13146.33096875
transcript.pyannote[2919].speaker SPEAKER_08
transcript.pyannote[2919].start 13146.33096875
transcript.pyannote[2919].end 13146.39846875
transcript.pyannote[2920].speaker SPEAKER_13
transcript.pyannote[2920].start 13146.39846875
transcript.pyannote[2920].end 13146.44909375
transcript.pyannote[2921].speaker SPEAKER_08
transcript.pyannote[2921].start 13146.44909375
transcript.pyannote[2921].end 13146.53346875
transcript.pyannote[2922].speaker SPEAKER_13
transcript.pyannote[2922].start 13146.53346875
transcript.pyannote[2922].end 13148.52471875
transcript.pyannote[2923].speaker SPEAKER_13
transcript.pyannote[2923].start 13149.45284375
transcript.pyannote[2923].end 13153.09784375
transcript.pyannote[2924].speaker SPEAKER_04
transcript.pyannote[2924].start 13153.09784375
transcript.pyannote[2924].end 13153.18221875
transcript.pyannote[2925].speaker SPEAKER_13
transcript.pyannote[2925].start 13153.18221875
transcript.pyannote[2925].end 13153.30034375
transcript.pyannote[2926].speaker SPEAKER_04
transcript.pyannote[2926].start 13153.30034375
transcript.pyannote[2926].end 13154.14409375
transcript.pyannote[2927].speaker SPEAKER_04
transcript.pyannote[2927].start 13155.51096875
transcript.pyannote[2927].end 13159.86471875
transcript.pyannote[2928].speaker SPEAKER_04
transcript.pyannote[2928].start 13159.91534375
transcript.pyannote[2928].end 13165.97346875
transcript.pyannote[2929].speaker SPEAKER_13
transcript.pyannote[2929].start 13165.46721875
transcript.pyannote[2929].end 13167.96471875
transcript.pyannote[2930].speaker SPEAKER_04
transcript.pyannote[2930].start 13167.77909375
transcript.pyannote[2930].end 13183.03409375
transcript.pyannote[2931].speaker SPEAKER_13
transcript.pyannote[2931].start 13168.70721875
transcript.pyannote[2931].end 13170.36096875
transcript.pyannote[2932].speaker SPEAKER_04
transcript.pyannote[2932].start 13183.86096875
transcript.pyannote[2932].end 13185.19409375
transcript.pyannote[2933].speaker SPEAKER_13
transcript.pyannote[2933].start 13183.94534375
transcript.pyannote[2933].end 13186.27409375
transcript.pyannote[2934].speaker SPEAKER_04
transcript.pyannote[2934].start 13187.80971875
transcript.pyannote[2934].end 13188.83909375
transcript.pyannote[2935].speaker SPEAKER_13
transcript.pyannote[2935].start 13189.66596875
transcript.pyannote[2935].end 13189.71659375
transcript.pyannote[2936].speaker SPEAKER_04
transcript.pyannote[2936].start 13189.93596875
transcript.pyannote[2936].end 13190.98221875
transcript.pyannote[2937].speaker SPEAKER_13
transcript.pyannote[2937].start 13191.28596875
transcript.pyannote[2937].end 13192.11284375
transcript.pyannote[2938].speaker SPEAKER_04
transcript.pyannote[2938].start 13192.11284375
transcript.pyannote[2938].end 13192.60221875
transcript.pyannote[2939].speaker SPEAKER_04
transcript.pyannote[2939].start 13192.72034375
transcript.pyannote[2939].end 13193.76659375
transcript.pyannote[2940].speaker SPEAKER_13
transcript.pyannote[2940].start 13192.77096875
transcript.pyannote[2940].end 13197.27659375
transcript.pyannote[2941].speaker SPEAKER_07
transcript.pyannote[2941].start 13197.54659375
transcript.pyannote[2941].end 13198.01909375
transcript.pyannote[2942].speaker SPEAKER_04
transcript.pyannote[2942].start 13198.01909375
transcript.pyannote[2942].end 13198.03596875
transcript.pyannote[2943].speaker SPEAKER_13
transcript.pyannote[2943].start 13198.12034375
transcript.pyannote[2943].end 13201.78221875
transcript.pyannote[2944].speaker SPEAKER_04
transcript.pyannote[2944].start 13198.59284375
transcript.pyannote[2944].end 13198.60971875
transcript.pyannote[2945].speaker SPEAKER_07
transcript.pyannote[2945].start 13198.60971875
transcript.pyannote[2945].end 13198.89659375
transcript.pyannote[2946].speaker SPEAKER_04
transcript.pyannote[2946].start 13201.78221875
transcript.pyannote[2946].end 13201.81596875
transcript.pyannote[2947].speaker SPEAKER_13
transcript.pyannote[2947].start 13202.54159375
transcript.pyannote[2947].end 13202.55846875
transcript.pyannote[2948].speaker SPEAKER_04
transcript.pyannote[2948].start 13202.55846875
transcript.pyannote[2948].end 13203.68909375
transcript.pyannote[2949].speaker SPEAKER_04
transcript.pyannote[2949].start 13204.02659375
transcript.pyannote[2949].end 13207.57034375
transcript.pyannote[2950].speaker SPEAKER_04
transcript.pyannote[2950].start 13207.82346875
transcript.pyannote[2950].end 13210.65846875
transcript.pyannote[2951].speaker SPEAKER_13
transcript.pyannote[2951].start 13210.52346875
transcript.pyannote[2951].end 13212.85221875
transcript.pyannote[2952].speaker SPEAKER_04
transcript.pyannote[2952].start 13210.94534375
transcript.pyannote[2952].end 13211.92409375
transcript.pyannote[2953].speaker SPEAKER_13
transcript.pyannote[2953].start 13213.02096875
transcript.pyannote[2953].end 13216.05846875
transcript.pyannote[2954].speaker SPEAKER_04
transcript.pyannote[2954].start 13213.84784375
transcript.pyannote[2954].end 13214.25284375
transcript.pyannote[2955].speaker SPEAKER_13
transcript.pyannote[2955].start 13216.76721875
transcript.pyannote[2955].end 13221.81284375
transcript.pyannote[2956].speaker SPEAKER_04
transcript.pyannote[2956].start 13220.22659375
transcript.pyannote[2956].end 13221.22221875
transcript.pyannote[2957].speaker SPEAKER_13
transcript.pyannote[2957].start 13222.33596875
transcript.pyannote[2957].end 13227.29721875
transcript.pyannote[2958].speaker SPEAKER_13
transcript.pyannote[2958].start 13227.92159375
transcript.pyannote[2958].end 13228.86659375
transcript.pyannote[2959].speaker SPEAKER_13
transcript.pyannote[2959].start 13229.57534375
transcript.pyannote[2959].end 13233.03471875
transcript.pyannote[2960].speaker SPEAKER_04
transcript.pyannote[2960].start 13233.03471875
transcript.pyannote[2960].end 13241.53971875
transcript.pyannote[2961].speaker SPEAKER_04
transcript.pyannote[2961].start 13242.09659375
transcript.pyannote[2961].end 13256.82846875
transcript.pyannote[2962].speaker SPEAKER_13
transcript.pyannote[2962].start 13250.14596875
transcript.pyannote[2962].end 13264.16909375
transcript.pyannote[2963].speaker SPEAKER_04
transcript.pyannote[2963].start 13257.09846875
transcript.pyannote[2963].end 13258.65096875
transcript.pyannote[2964].speaker SPEAKER_04
transcript.pyannote[2964].start 13260.15284375
transcript.pyannote[2964].end 13260.64221875
transcript.pyannote[2965].speaker SPEAKER_13
transcript.pyannote[2965].start 13264.82721875
transcript.pyannote[2965].end 13267.96596875
transcript.pyannote[2966].speaker SPEAKER_13
transcript.pyannote[2966].start 13268.10096875
transcript.pyannote[2966].end 13269.53534375
transcript.pyannote[2967].speaker SPEAKER_13
transcript.pyannote[2967].start 13269.94034375
transcript.pyannote[2967].end 13271.18909375
transcript.pyannote[2968].speaker SPEAKER_13
transcript.pyannote[2968].start 13271.61096875
transcript.pyannote[2968].end 13272.64034375
transcript.pyannote[2969].speaker SPEAKER_04
transcript.pyannote[2969].start 13271.67846875
transcript.pyannote[2969].end 13271.96534375
transcript.pyannote[2970].speaker SPEAKER_04
transcript.pyannote[2970].start 13272.64034375
transcript.pyannote[2970].end 13272.67409375
transcript.pyannote[2971].speaker SPEAKER_13
transcript.pyannote[2971].start 13273.11284375
transcript.pyannote[2971].end 13273.12971875
transcript.pyannote[2972].speaker SPEAKER_04
transcript.pyannote[2972].start 13273.12971875
transcript.pyannote[2972].end 13275.12096875
transcript.pyannote[2973].speaker SPEAKER_04
transcript.pyannote[2973].start 13275.94784375
transcript.pyannote[2973].end 13279.40721875
transcript.pyannote[2974].speaker SPEAKER_04
transcript.pyannote[2974].start 13280.30159375
transcript.pyannote[2974].end 13301.05784375
transcript.pyannote[2975].speaker SPEAKER_04
transcript.pyannote[2975].start 13301.69909375
transcript.pyannote[2975].end 13326.85971875
transcript.pyannote[2976].speaker SPEAKER_42
transcript.pyannote[2976].start 13302.13784375
transcript.pyannote[2976].end 13302.15471875
transcript.pyannote[2977].speaker SPEAKER_13
transcript.pyannote[2977].start 13302.15471875
transcript.pyannote[2977].end 13303.96034375
transcript.pyannote[2978].speaker SPEAKER_13
transcript.pyannote[2978].start 13315.16534375
transcript.pyannote[2978].end 13316.21159375
transcript.pyannote[2979].speaker SPEAKER_13
transcript.pyannote[2979].start 13325.57721875
transcript.pyannote[2979].end 13332.02346875
transcript.pyannote[2980].speaker SPEAKER_04
transcript.pyannote[2980].start 13332.02346875
transcript.pyannote[2980].end 13336.69784375
transcript.pyannote[2981].speaker SPEAKER_04
transcript.pyannote[2981].start 13337.23784375
transcript.pyannote[2981].end 13340.66346875
transcript.pyannote[2982].speaker SPEAKER_04
transcript.pyannote[2982].start 13340.96721875
transcript.pyannote[2982].end 13344.96659375
transcript.pyannote[2983].speaker SPEAKER_13
transcript.pyannote[2983].start 13342.31721875
transcript.pyannote[2983].end 13342.45221875
transcript.pyannote[2984].speaker SPEAKER_13
transcript.pyannote[2984].start 13342.51971875
transcript.pyannote[2984].end 13342.62096875
transcript.pyannote[2985].speaker SPEAKER_13
transcript.pyannote[2985].start 13342.70534375
transcript.pyannote[2985].end 13342.72221875
transcript.pyannote[2986].speaker SPEAKER_13
transcript.pyannote[2986].start 13344.96659375
transcript.pyannote[2986].end 13350.02909375
transcript.pyannote[2987].speaker SPEAKER_04
transcript.pyannote[2987].start 13350.02909375
transcript.pyannote[2987].end 13362.73596875
transcript.pyannote[2988].speaker SPEAKER_13
transcript.pyannote[2988].start 13352.03721875
transcript.pyannote[2988].end 13352.25659375
transcript.pyannote[2989].speaker SPEAKER_13
transcript.pyannote[2989].start 13353.37034375
transcript.pyannote[2989].end 13353.72471875
transcript.pyannote[2990].speaker SPEAKER_13
transcript.pyannote[2990].start 13354.29846875
transcript.pyannote[2990].end 13356.27284375
transcript.pyannote[2991].speaker SPEAKER_04
transcript.pyannote[2991].start 13362.95534375
transcript.pyannote[2991].end 13365.84096875
transcript.pyannote[2992].speaker SPEAKER_04
transcript.pyannote[2992].start 13366.11096875
transcript.pyannote[2992].end 13368.57471875
transcript.pyannote[2993].speaker SPEAKER_04
transcript.pyannote[2993].start 13368.92909375
transcript.pyannote[2993].end 13371.15659375
transcript.pyannote[2994].speaker SPEAKER_13
transcript.pyannote[2994].start 13370.63346875
transcript.pyannote[2994].end 13376.89409375
transcript.pyannote[2995].speaker SPEAKER_13
transcript.pyannote[2995].start 13377.72096875
transcript.pyannote[2995].end 13380.25221875
transcript.pyannote[2996].speaker SPEAKER_13
transcript.pyannote[2996].start 13380.64034375
transcript.pyannote[2996].end 13385.23034375
transcript.pyannote[2997].speaker SPEAKER_13
transcript.pyannote[2997].start 13385.50034375
transcript.pyannote[2997].end 13386.10784375
transcript.pyannote[2998].speaker SPEAKER_13
transcript.pyannote[2998].start 13386.32721875
transcript.pyannote[2998].end 13387.17096875
transcript.pyannote[2999].speaker SPEAKER_13
transcript.pyannote[2999].start 13387.54221875
transcript.pyannote[2999].end 13389.21284375
transcript.pyannote[3000].speaker SPEAKER_04
transcript.pyannote[3000].start 13389.21284375
transcript.pyannote[3000].end 13389.24659375
transcript.pyannote[3001].speaker SPEAKER_13
transcript.pyannote[3001].start 13389.24659375
transcript.pyannote[3001].end 13389.28034375
transcript.pyannote[3002].speaker SPEAKER_04
transcript.pyannote[3002].start 13389.28034375
transcript.pyannote[3002].end 13389.85409375
transcript.pyannote[3003].speaker SPEAKER_13
transcript.pyannote[3003].start 13389.85409375
transcript.pyannote[3003].end 13390.02284375
transcript.pyannote[3004].speaker SPEAKER_04
transcript.pyannote[3004].start 13390.02284375
transcript.pyannote[3004].end 13410.28971875
transcript.pyannote[3005].speaker SPEAKER_04
transcript.pyannote[3005].start 13410.81284375
transcript.pyannote[3005].end 13413.98534375
transcript.pyannote[3006].speaker SPEAKER_13
transcript.pyannote[3006].start 13413.56346875
transcript.pyannote[3006].end 13413.95159375
transcript.pyannote[3007].speaker SPEAKER_13
transcript.pyannote[3007].start 13413.98534375
transcript.pyannote[3007].end 13414.81221875
transcript.pyannote[3008].speaker SPEAKER_04
transcript.pyannote[3008].start 13414.33971875
transcript.pyannote[3008].end 13418.47409375
transcript.pyannote[3009].speaker SPEAKER_13
transcript.pyannote[3009].start 13419.03096875
transcript.pyannote[3009].end 13420.93784375
transcript.pyannote[3010].speaker SPEAKER_04
transcript.pyannote[3010].start 13420.21221875
transcript.pyannote[3010].end 13421.49471875
transcript.pyannote[3011].speaker SPEAKER_13
transcript.pyannote[3011].start 13421.49471875
transcript.pyannote[3011].end 13423.11471875
transcript.pyannote[3012].speaker SPEAKER_04
transcript.pyannote[3012].start 13422.08534375
transcript.pyannote[3012].end 13422.74346875
transcript.pyannote[3013].speaker SPEAKER_04
transcript.pyannote[3013].start 13423.50284375
transcript.pyannote[3013].end 13424.97096875
transcript.pyannote[3014].speaker SPEAKER_13
transcript.pyannote[3014].start 13424.97096875
transcript.pyannote[3014].end 13425.51096875
transcript.pyannote[3015].speaker SPEAKER_04
transcript.pyannote[3015].start 13425.51096875
transcript.pyannote[3015].end 13427.58659375
transcript.pyannote[3016].speaker SPEAKER_04
transcript.pyannote[3016].start 13428.66659375
transcript.pyannote[3016].end 13429.47659375
transcript.pyannote[3017].speaker SPEAKER_04
transcript.pyannote[3017].start 13429.66221875
transcript.pyannote[3017].end 13431.60284375
transcript.pyannote[3018].speaker SPEAKER_04
transcript.pyannote[3018].start 13432.88534375
transcript.pyannote[3018].end 13437.35721875
transcript.pyannote[3019].speaker SPEAKER_04
transcript.pyannote[3019].start 13437.50909375
transcript.pyannote[3019].end 13438.21784375
transcript.pyannote[3020].speaker SPEAKER_13
transcript.pyannote[3020].start 13437.59346875
transcript.pyannote[3020].end 13453.03409375
transcript.pyannote[3021].speaker SPEAKER_04
transcript.pyannote[3021].start 13444.66409375
transcript.pyannote[3021].end 13444.96784375
transcript.pyannote[3022].speaker SPEAKER_04
transcript.pyannote[3022].start 13453.03409375
transcript.pyannote[3022].end 13453.59096875
transcript.pyannote[3023].speaker SPEAKER_13
transcript.pyannote[3023].start 13453.59096875
transcript.pyannote[3023].end 13453.60784375
transcript.pyannote[3024].speaker SPEAKER_13
transcript.pyannote[3024].start 13454.09721875
transcript.pyannote[3024].end 13454.13096875
transcript.pyannote[3025].speaker SPEAKER_04
transcript.pyannote[3025].start 13454.13096875
transcript.pyannote[3025].end 13457.06721875
transcript.pyannote[3026].speaker SPEAKER_04
transcript.pyannote[3026].start 13457.21909375
transcript.pyannote[3026].end 13477.63784375
transcript.pyannote[3027].speaker SPEAKER_13
transcript.pyannote[3027].start 13477.33409375
transcript.pyannote[3027].end 13477.51971875
transcript.pyannote[3028].speaker SPEAKER_13
transcript.pyannote[3028].start 13477.63784375
transcript.pyannote[3028].end 13478.02596875
transcript.pyannote[3029].speaker SPEAKER_04
transcript.pyannote[3029].start 13478.02596875
transcript.pyannote[3029].end 13481.58659375
transcript.pyannote[3030].speaker SPEAKER_13
transcript.pyannote[3030].start 13480.86096875
transcript.pyannote[3030].end 13484.35409375
transcript.pyannote[3031].speaker SPEAKER_13
transcript.pyannote[3031].start 13484.97846875
transcript.pyannote[3031].end 13486.80096875
transcript.pyannote[3032].speaker SPEAKER_04
transcript.pyannote[3032].start 13486.32846875
transcript.pyannote[3032].end 13494.34409375
transcript.pyannote[3033].speaker SPEAKER_04
transcript.pyannote[3033].start 13494.73221875
transcript.pyannote[3033].end 13495.22159375
transcript.pyannote[3034].speaker SPEAKER_04
transcript.pyannote[3034].start 13495.50846875
transcript.pyannote[3034].end 13497.87096875
transcript.pyannote[3035].speaker SPEAKER_04
transcript.pyannote[3035].start 13497.97221875
transcript.pyannote[3035].end 13500.21659375
transcript.pyannote[3036].speaker SPEAKER_13
transcript.pyannote[3036].start 13500.21659375
transcript.pyannote[3036].end 13504.55346875
transcript.pyannote[3037].speaker SPEAKER_04
transcript.pyannote[3037].start 13500.55409375
transcript.pyannote[3037].end 13500.92534375
transcript.pyannote[3038].speaker SPEAKER_04
transcript.pyannote[3038].start 13503.25409375
transcript.pyannote[3038].end 13503.72659375
transcript.pyannote[3039].speaker SPEAKER_04
transcript.pyannote[3039].start 13503.97971875
transcript.pyannote[3039].end 13504.46909375
transcript.pyannote[3040].speaker SPEAKER_13
transcript.pyannote[3040].start 13505.48159375
transcript.pyannote[3040].end 13514.03721875
transcript.pyannote[3041].speaker SPEAKER_40
transcript.pyannote[3041].start 13508.19846875
transcript.pyannote[3041].end 13508.62034375
transcript.pyannote[3042].speaker SPEAKER_13
transcript.pyannote[3042].start 13514.52659375
transcript.pyannote[3042].end 13519.30221875
transcript.pyannote[3043].speaker SPEAKER_13
transcript.pyannote[3043].start 13519.52159375
transcript.pyannote[3043].end 13525.79909375
transcript.pyannote[3044].speaker SPEAKER_40
transcript.pyannote[3044].start 13522.81221875
transcript.pyannote[3044].end 13522.82909375
transcript.pyannote[3045].speaker SPEAKER_40
transcript.pyannote[3045].start 13525.79909375
transcript.pyannote[3045].end 13525.96784375
transcript.pyannote[3046].speaker SPEAKER_08
transcript.pyannote[3046].start 13525.96784375
transcript.pyannote[3046].end 13526.22096875
transcript.pyannote[3047].speaker SPEAKER_40
transcript.pyannote[3047].start 13526.22096875
transcript.pyannote[3047].end 13526.27159375
transcript.pyannote[3048].speaker SPEAKER_13
transcript.pyannote[3048].start 13526.98034375
transcript.pyannote[3048].end 13531.87409375
transcript.pyannote[3049].speaker SPEAKER_08
transcript.pyannote[3049].start 13531.72221875
transcript.pyannote[3049].end 13532.00909375
transcript.pyannote[3050].speaker SPEAKER_13
transcript.pyannote[3050].start 13532.21159375
transcript.pyannote[3050].end 13533.56159375
transcript.pyannote[3051].speaker SPEAKER_13
transcript.pyannote[3051].start 13534.16909375
transcript.pyannote[3051].end 13534.89471875
transcript.pyannote[3052].speaker SPEAKER_13
transcript.pyannote[3052].start 13536.04221875
transcript.pyannote[3052].end 13540.31159375
transcript.pyannote[3053].speaker SPEAKER_13
transcript.pyannote[3053].start 13540.76721875
transcript.pyannote[3053].end 13542.03284375
transcript.pyannote[3054].speaker SPEAKER_13
transcript.pyannote[3054].start 13542.80909375
transcript.pyannote[3054].end 13547.98971875
transcript.pyannote[3055].speaker SPEAKER_13
transcript.pyannote[3055].start 13548.54659375
transcript.pyannote[3055].end 13550.03159375
transcript.pyannote[3056].speaker SPEAKER_04
transcript.pyannote[3056].start 13550.03159375
transcript.pyannote[3056].end 13561.82721875
transcript.pyannote[3057].speaker SPEAKER_04
transcript.pyannote[3057].start 13562.99159375
transcript.pyannote[3057].end 13571.54721875
transcript.pyannote[3058].speaker SPEAKER_13
transcript.pyannote[3058].start 13569.37034375
transcript.pyannote[3058].end 13575.07409375
transcript.pyannote[3059].speaker SPEAKER_04
transcript.pyannote[3059].start 13573.48784375
transcript.pyannote[3059].end 13573.82534375
transcript.pyannote[3060].speaker SPEAKER_04
transcript.pyannote[3060].start 13574.33159375
transcript.pyannote[3060].end 13575.95159375
transcript.pyannote[3061].speaker SPEAKER_29
transcript.pyannote[3061].start 13582.22909375
transcript.pyannote[3061].end 13583.68034375
transcript.pyannote[3062].speaker SPEAKER_18
transcript.pyannote[3062].start 13590.26159375
transcript.pyannote[3062].end 13591.47659375
transcript.pyannote[3063].speaker SPEAKER_28
transcript.pyannote[3063].start 13591.66221875
transcript.pyannote[3063].end 13592.37096875
transcript.pyannote[3064].speaker SPEAKER_18
transcript.pyannote[3064].start 13600.80846875
transcript.pyannote[3064].end 13601.21346875
transcript.pyannote[3065].speaker SPEAKER_18
transcript.pyannote[3065].start 13602.66471875
transcript.pyannote[3065].end 13608.14909375
transcript.pyannote[3066].speaker SPEAKER_18
transcript.pyannote[3066].start 13608.36846875
transcript.pyannote[3066].end 13609.19534375
transcript.pyannote[3067].speaker SPEAKER_18
transcript.pyannote[3067].start 13609.63409375
transcript.pyannote[3067].end 13612.26659375
transcript.pyannote[3068].speaker SPEAKER_04
transcript.pyannote[3068].start 13613.97096875
transcript.pyannote[3068].end 13617.81846875
transcript.pyannote[3069].speaker SPEAKER_18
transcript.pyannote[3069].start 13614.12284375
transcript.pyannote[3069].end 13614.30846875
transcript.pyannote[3070].speaker SPEAKER_18
transcript.pyannote[3070].start 13615.37159375
transcript.pyannote[3070].end 13618.17284375
transcript.pyannote[3071].speaker SPEAKER_18
transcript.pyannote[3071].start 13618.52721875
transcript.pyannote[3071].end 13620.34971875
transcript.pyannote[3072].speaker SPEAKER_18
transcript.pyannote[3072].start 13621.26096875
transcript.pyannote[3072].end 13626.01971875
transcript.pyannote[3073].speaker SPEAKER_18
transcript.pyannote[3073].start 13626.55971875
transcript.pyannote[3073].end 13632.98909375
transcript.pyannote[3074].speaker SPEAKER_18
transcript.pyannote[3074].start 13633.42784375
transcript.pyannote[3074].end 13635.82409375
transcript.pyannote[3075].speaker SPEAKER_18
transcript.pyannote[3075].start 13637.98409375
transcript.pyannote[3075].end 13640.21159375
transcript.pyannote[3076].speaker SPEAKER_18
transcript.pyannote[3076].start 13640.71784375
transcript.pyannote[3076].end 13642.57409375
transcript.pyannote[3077].speaker SPEAKER_07
transcript.pyannote[3077].start 13642.57409375
transcript.pyannote[3077].end 13642.91159375
transcript.pyannote[3078].speaker SPEAKER_18
transcript.pyannote[3078].start 13642.91159375
transcript.pyannote[3078].end 13642.96221875
transcript.pyannote[3079].speaker SPEAKER_18
transcript.pyannote[3079].start 13642.97909375
transcript.pyannote[3079].end 13644.59909375
transcript.pyannote[3080].speaker SPEAKER_18
transcript.pyannote[3080].start 13646.15159375
transcript.pyannote[3080].end 13646.74221875
transcript.pyannote[3081].speaker SPEAKER_18
transcript.pyannote[3081].start 13647.31596875
transcript.pyannote[3081].end 13648.22721875
transcript.pyannote[3082].speaker SPEAKER_18
transcript.pyannote[3082].start 13650.23534375
transcript.pyannote[3082].end 13654.65659375
transcript.pyannote[3083].speaker SPEAKER_18
transcript.pyannote[3083].start 13655.95596875
transcript.pyannote[3083].end 13657.67721875
transcript.pyannote[3084].speaker SPEAKER_18
transcript.pyannote[3084].start 13657.82909375
transcript.pyannote[3084].end 13662.09846875
transcript.pyannote[3085].speaker SPEAKER_18
transcript.pyannote[3085].start 13662.41909375
transcript.pyannote[3085].end 13666.19909375
transcript.pyannote[3086].speaker SPEAKER_18
transcript.pyannote[3086].start 13667.31284375
transcript.pyannote[3086].end 13671.26159375
transcript.pyannote[3087].speaker SPEAKER_04
transcript.pyannote[3087].start 13667.90346875
transcript.pyannote[3087].end 13668.57846875
transcript.pyannote[3088].speaker SPEAKER_00
transcript.pyannote[3088].start 13668.57846875
transcript.pyannote[3088].end 13668.61221875
transcript.pyannote[3089].speaker SPEAKER_04
transcript.pyannote[3089].start 13670.73846875
transcript.pyannote[3089].end 13671.21096875
transcript.pyannote[3090].speaker SPEAKER_04
transcript.pyannote[3090].start 13671.26159375
transcript.pyannote[3090].end 13677.82596875
transcript.pyannote[3091].speaker SPEAKER_18
transcript.pyannote[3091].start 13677.15096875
transcript.pyannote[3091].end 13680.32346875
transcript.pyannote[3092].speaker SPEAKER_18
transcript.pyannote[3092].start 13681.04909375
transcript.pyannote[3092].end 13683.69846875
transcript.pyannote[3093].speaker SPEAKER_18
transcript.pyannote[3093].start 13685.90909375
transcript.pyannote[3093].end 13687.17471875
transcript.pyannote[3094].speaker SPEAKER_18
transcript.pyannote[3094].start 13687.96784375
transcript.pyannote[3094].end 13691.29221875
transcript.pyannote[3095].speaker SPEAKER_18
transcript.pyannote[3095].start 13692.76034375
transcript.pyannote[3095].end 13694.49846875
transcript.pyannote[3096].speaker SPEAKER_04
transcript.pyannote[3096].start 13692.79409375
transcript.pyannote[3096].end 13695.39284375
transcript.pyannote[3097].speaker SPEAKER_04
transcript.pyannote[3097].start 13695.66284375
transcript.pyannote[3097].end 13696.69221875
transcript.pyannote[3098].speaker SPEAKER_18
transcript.pyannote[3098].start 13695.73034375
transcript.pyannote[3098].end 13696.77659375
transcript.pyannote[3099].speaker SPEAKER_18
transcript.pyannote[3099].start 13697.83971875
transcript.pyannote[3099].end 13697.85659375
transcript.pyannote[3100].speaker SPEAKER_04
transcript.pyannote[3100].start 13697.85659375
transcript.pyannote[3100].end 13697.87346875
transcript.pyannote[3101].speaker SPEAKER_18
transcript.pyannote[3101].start 13697.87346875
transcript.pyannote[3101].end 13698.02534375
transcript.pyannote[3102].speaker SPEAKER_04
transcript.pyannote[3102].start 13698.02534375
transcript.pyannote[3102].end 13698.70034375
transcript.pyannote[3103].speaker SPEAKER_18
transcript.pyannote[3103].start 13698.70034375
transcript.pyannote[3103].end 13699.03784375
transcript.pyannote[3104].speaker SPEAKER_04
transcript.pyannote[3104].start 13699.03784375
transcript.pyannote[3104].end 13706.78346875
transcript.pyannote[3105].speaker SPEAKER_18
transcript.pyannote[3105].start 13705.93971875
transcript.pyannote[3105].end 13707.18846875
transcript.pyannote[3106].speaker SPEAKER_04
transcript.pyannote[3106].start 13707.54284375
transcript.pyannote[3106].end 13708.69034375
transcript.pyannote[3107].speaker SPEAKER_18
transcript.pyannote[3107].start 13708.69034375
transcript.pyannote[3107].end 13708.70721875
transcript.pyannote[3108].speaker SPEAKER_18
transcript.pyannote[3108].start 13709.14596875
transcript.pyannote[3108].end 13709.73659375
transcript.pyannote[3109].speaker SPEAKER_04
transcript.pyannote[3109].start 13709.73659375
transcript.pyannote[3109].end 13709.97284375
transcript.pyannote[3110].speaker SPEAKER_18
transcript.pyannote[3110].start 13709.97284375
transcript.pyannote[3110].end 13712.52096875
transcript.pyannote[3111].speaker SPEAKER_04
transcript.pyannote[3111].start 13710.19221875
transcript.pyannote[3111].end 13710.95159375
transcript.pyannote[3112].speaker SPEAKER_04
transcript.pyannote[3112].start 13711.15409375
transcript.pyannote[3112].end 13712.26784375
transcript.pyannote[3113].speaker SPEAKER_18
transcript.pyannote[3113].start 13712.99346875
transcript.pyannote[3113].end 13714.19159375
transcript.pyannote[3114].speaker SPEAKER_18
transcript.pyannote[3114].start 13715.54159375
transcript.pyannote[3114].end 13716.84096875
transcript.pyannote[3115].speaker SPEAKER_18
transcript.pyannote[3115].start 13718.17409375
transcript.pyannote[3115].end 13719.30471875
transcript.pyannote[3116].speaker SPEAKER_18
transcript.pyannote[3116].start 13720.04721875
transcript.pyannote[3116].end 13723.64159375
transcript.pyannote[3117].speaker SPEAKER_18
transcript.pyannote[3117].start 13724.21534375
transcript.pyannote[3117].end 13726.96596875
transcript.pyannote[3118].speaker SPEAKER_18
transcript.pyannote[3118].start 13727.33721875
transcript.pyannote[3118].end 13731.53909375
transcript.pyannote[3119].speaker SPEAKER_18
transcript.pyannote[3119].start 13732.04534375
transcript.pyannote[3119].end 13733.49659375
transcript.pyannote[3120].speaker SPEAKER_04
transcript.pyannote[3120].start 13734.35721875
transcript.pyannote[3120].end 13738.37346875
transcript.pyannote[3121].speaker SPEAKER_18
transcript.pyannote[3121].start 13737.19221875
transcript.pyannote[3121].end 13743.89159375
transcript.pyannote[3122].speaker SPEAKER_04
transcript.pyannote[3122].start 13740.88784375
transcript.pyannote[3122].end 13741.34346875
transcript.pyannote[3123].speaker SPEAKER_18
transcript.pyannote[3123].start 13744.75221875
transcript.pyannote[3123].end 13747.51971875
transcript.pyannote[3124].speaker SPEAKER_18
transcript.pyannote[3124].start 13748.04284375
transcript.pyannote[3124].end 13751.90721875
transcript.pyannote[3125].speaker SPEAKER_18
transcript.pyannote[3125].start 13751.92409375
transcript.pyannote[3125].end 13751.94096875
transcript.pyannote[3126].speaker SPEAKER_04
transcript.pyannote[3126].start 13751.94096875
transcript.pyannote[3126].end 13758.64034375
transcript.pyannote[3127].speaker SPEAKER_18
transcript.pyannote[3127].start 13757.02034375
transcript.pyannote[3127].end 13759.24784375
transcript.pyannote[3128].speaker SPEAKER_18
transcript.pyannote[3128].start 13760.49659375
transcript.pyannote[3128].end 13762.04909375
transcript.pyannote[3129].speaker SPEAKER_18
transcript.pyannote[3129].start 13762.87596875
transcript.pyannote[3129].end 13766.28471875
transcript.pyannote[3130].speaker SPEAKER_18
transcript.pyannote[3130].start 13766.82471875
transcript.pyannote[3130].end 13772.83221875
transcript.pyannote[3131].speaker SPEAKER_18
transcript.pyannote[3131].start 13773.13596875
transcript.pyannote[3131].end 13776.74721875
transcript.pyannote[3132].speaker SPEAKER_18
transcript.pyannote[3132].start 13777.64159375
transcript.pyannote[3132].end 13779.12659375
transcript.pyannote[3133].speaker SPEAKER_18
transcript.pyannote[3133].start 13780.02096875
transcript.pyannote[3133].end 13781.45534375
transcript.pyannote[3134].speaker SPEAKER_18
transcript.pyannote[3134].start 13782.29909375
transcript.pyannote[3134].end 13785.42096875
transcript.pyannote[3135].speaker SPEAKER_18
transcript.pyannote[3135].start 13785.67409375
transcript.pyannote[3135].end 13788.03659375
transcript.pyannote[3136].speaker SPEAKER_18
transcript.pyannote[3136].start 13789.45409375
transcript.pyannote[3136].end 13790.53409375
transcript.pyannote[3137].speaker SPEAKER_18
transcript.pyannote[3137].start 13791.59721875
transcript.pyannote[3137].end 13794.80346875
transcript.pyannote[3138].speaker SPEAKER_18
transcript.pyannote[3138].start 13795.39409375
transcript.pyannote[3138].end 13797.73971875
transcript.pyannote[3139].speaker SPEAKER_18
transcript.pyannote[3139].start 13798.14471875
transcript.pyannote[3139].end 13802.12721875
transcript.pyannote[3140].speaker SPEAKER_04
transcript.pyannote[3140].start 13803.67971875
transcript.pyannote[3140].end 13813.26471875
transcript.pyannote[3141].speaker SPEAKER_18
transcript.pyannote[3141].start 13808.40471875
transcript.pyannote[3141].end 13809.34971875
transcript.pyannote[3142].speaker SPEAKER_18
transcript.pyannote[3142].start 13811.34096875
transcript.pyannote[3142].end 13821.09471875
transcript.pyannote[3143].speaker SPEAKER_18
transcript.pyannote[3143].start 13821.75284375
transcript.pyannote[3143].end 13823.94659375
transcript.pyannote[3144].speaker SPEAKER_04
transcript.pyannote[3144].start 13821.78659375
transcript.pyannote[3144].end 13827.40596875
transcript.pyannote[3145].speaker SPEAKER_18
transcript.pyannote[3145].start 13826.02221875
transcript.pyannote[3145].end 13831.13534375
transcript.pyannote[3146].speaker SPEAKER_18
transcript.pyannote[3146].start 13831.69221875
transcript.pyannote[3146].end 13841.46284375
transcript.pyannote[3147].speaker SPEAKER_04
transcript.pyannote[3147].start 13831.72596875
transcript.pyannote[3147].end 13833.70034375
transcript.pyannote[3148].speaker SPEAKER_04
transcript.pyannote[3148].start 13837.71659375
transcript.pyannote[3148].end 13838.30721875
transcript.pyannote[3149].speaker SPEAKER_04
transcript.pyannote[3149].start 13840.68659375
transcript.pyannote[3149].end 13851.68909375
transcript.pyannote[3150].speaker SPEAKER_18
transcript.pyannote[3150].start 13850.38971875
transcript.pyannote[3150].end 13857.00471875
transcript.pyannote[3151].speaker SPEAKER_18
transcript.pyannote[3151].start 13857.39284375
transcript.pyannote[3151].end 13860.14346875
transcript.pyannote[3152].speaker SPEAKER_04
transcript.pyannote[3152].start 13857.64596875
transcript.pyannote[3152].end 13858.03409375
transcript.pyannote[3153].speaker SPEAKER_04
transcript.pyannote[3153].start 13858.84409375
transcript.pyannote[3153].end 13868.96909375
transcript.pyannote[3154].speaker SPEAKER_18
transcript.pyannote[3154].start 13868.96909375
transcript.pyannote[3154].end 13870.26846875
transcript.pyannote[3155].speaker SPEAKER_18
transcript.pyannote[3155].start 13870.89284375
transcript.pyannote[3155].end 13874.36909375
transcript.pyannote[3156].speaker SPEAKER_18
transcript.pyannote[3156].start 13874.95971875
transcript.pyannote[3156].end 13879.48221875
transcript.pyannote[3157].speaker SPEAKER_18
transcript.pyannote[3157].start 13879.66784375
transcript.pyannote[3157].end 13884.52784375
transcript.pyannote[3158].speaker SPEAKER_18
transcript.pyannote[3158].start 13884.81471875
transcript.pyannote[3158].end 13892.57721875
transcript.pyannote[3159].speaker SPEAKER_05
transcript.pyannote[3159].start 13884.84846875
transcript.pyannote[3159].end 13886.83971875
transcript.pyannote[3160].speaker SPEAKER_18
transcript.pyannote[3160].start 13892.67846875
transcript.pyannote[3160].end 13901.21721875
transcript.pyannote[3161].speaker SPEAKER_18
transcript.pyannote[3161].start 13901.80784375
transcript.pyannote[3161].end 13902.71909375
transcript.pyannote[3162].speaker SPEAKER_04
transcript.pyannote[3162].start 13901.82471875
transcript.pyannote[3162].end 13905.92534375
transcript.pyannote[3163].speaker SPEAKER_04
transcript.pyannote[3163].start 13906.27971875
transcript.pyannote[3163].end 13917.97409375
transcript.pyannote[3164].speaker SPEAKER_18
transcript.pyannote[3164].start 13906.36409375
transcript.pyannote[3164].end 13907.98409375
transcript.pyannote[3165].speaker SPEAKER_18
transcript.pyannote[3165].start 13911.66284375
transcript.pyannote[3165].end 13913.60346875
transcript.pyannote[3166].speaker SPEAKER_18
transcript.pyannote[3166].start 13917.97409375
transcript.pyannote[3166].end 13919.23971875
transcript.pyannote[3167].speaker SPEAKER_04
transcript.pyannote[3167].start 13917.99096875
transcript.pyannote[3167].end 13919.18909375
transcript.pyannote[3168].speaker SPEAKER_18
transcript.pyannote[3168].start 13920.11721875
transcript.pyannote[3168].end 13928.03159375
transcript.pyannote[3169].speaker SPEAKER_04
transcript.pyannote[3169].start 13920.13409375
transcript.pyannote[3169].end 13922.80034375
transcript.pyannote[3170].speaker SPEAKER_04
transcript.pyannote[3170].start 13927.03596875
transcript.pyannote[3170].end 13927.77846875
transcript.pyannote[3171].speaker SPEAKER_04
transcript.pyannote[3171].start 13928.03159375
transcript.pyannote[3171].end 13928.11596875
transcript.pyannote[3172].speaker SPEAKER_18
transcript.pyannote[3172].start 13928.11596875
transcript.pyannote[3172].end 13928.14971875
transcript.pyannote[3173].speaker SPEAKER_04
transcript.pyannote[3173].start 13928.14971875
transcript.pyannote[3173].end 13933.39784375
transcript.pyannote[3174].speaker SPEAKER_18
transcript.pyannote[3174].start 13930.54596875
transcript.pyannote[3174].end 13932.84096875
transcript.pyannote[3175].speaker SPEAKER_18
transcript.pyannote[3175].start 13933.70159375
transcript.pyannote[3175].end 13935.76034375
transcript.pyannote[3176].speaker SPEAKER_18
transcript.pyannote[3176].start 13936.53659375
transcript.pyannote[3176].end 13937.86971875
transcript.pyannote[3177].speaker SPEAKER_18
transcript.pyannote[3177].start 13938.88221875
transcript.pyannote[3177].end 13940.73846875
transcript.pyannote[3178].speaker SPEAKER_18
transcript.pyannote[3178].start 13941.32909375
transcript.pyannote[3178].end 13945.26096875
transcript.pyannote[3179].speaker SPEAKER_18
transcript.pyannote[3179].start 13945.49721875
transcript.pyannote[3179].end 13947.21846875
transcript.pyannote[3180].speaker SPEAKER_29
transcript.pyannote[3180].start 13954.45784375
transcript.pyannote[3180].end 13956.09471875
transcript.pyannote[3181].speaker SPEAKER_02
transcript.pyannote[3181].start 13967.18159375
transcript.pyannote[3181].end 13968.41346875
transcript.pyannote[3182].speaker SPEAKER_28
transcript.pyannote[3182].start 13968.41346875
transcript.pyannote[3182].end 13968.43034375
transcript.pyannote[3183].speaker SPEAKER_02
transcript.pyannote[3183].start 13968.98721875
transcript.pyannote[3183].end 13969.00409375
transcript.pyannote[3184].speaker SPEAKER_28
transcript.pyannote[3184].start 13969.00409375
transcript.pyannote[3184].end 13970.92784375
transcript.pyannote[3185].speaker SPEAKER_28
transcript.pyannote[3185].start 13971.24846875
transcript.pyannote[3185].end 13971.90659375
transcript.pyannote[3186].speaker SPEAKER_02
transcript.pyannote[3186].start 13978.40346875
transcript.pyannote[3186].end 13978.94346875
transcript.pyannote[3187].speaker SPEAKER_02
transcript.pyannote[3187].start 13979.53409375
transcript.pyannote[3187].end 13980.31034375
transcript.pyannote[3188].speaker SPEAKER_02
transcript.pyannote[3188].start 13981.60971875
transcript.pyannote[3188].end 13985.84534375
transcript.pyannote[3189].speaker SPEAKER_02
transcript.pyannote[3189].start 13986.41909375
transcript.pyannote[3189].end 13991.49846875
transcript.pyannote[3190].speaker SPEAKER_02
transcript.pyannote[3190].start 13992.17346875
transcript.pyannote[3190].end 13994.95784375
transcript.pyannote[3191].speaker SPEAKER_02
transcript.pyannote[3191].start 13995.27846875
transcript.pyannote[3191].end 13997.89409375
transcript.pyannote[3192].speaker SPEAKER_02
transcript.pyannote[3192].start 13998.23159375
transcript.pyannote[3192].end 13999.78409375
transcript.pyannote[3193].speaker SPEAKER_02
transcript.pyannote[3193].start 14000.77971875
transcript.pyannote[3193].end 14001.60659375
transcript.pyannote[3194].speaker SPEAKER_02
transcript.pyannote[3194].start 14001.91034375
transcript.pyannote[3194].end 14004.15471875
transcript.pyannote[3195].speaker SPEAKER_02
transcript.pyannote[3195].start 14004.27284375
transcript.pyannote[3195].end 14006.56784375
transcript.pyannote[3196].speaker SPEAKER_02
transcript.pyannote[3196].start 14006.66909375
transcript.pyannote[3196].end 14008.42409375
transcript.pyannote[3197].speaker SPEAKER_04
transcript.pyannote[3197].start 14009.47034375
transcript.pyannote[3197].end 14010.92159375
transcript.pyannote[3198].speaker SPEAKER_02
transcript.pyannote[3198].start 14010.28034375
transcript.pyannote[3198].end 14010.80346875
transcript.pyannote[3199].speaker SPEAKER_04
transcript.pyannote[3199].start 14011.47846875
transcript.pyannote[3199].end 14018.54909375
transcript.pyannote[3200].speaker SPEAKER_02
transcript.pyannote[3200].start 14016.05159375
transcript.pyannote[3200].end 14018.51534375
transcript.pyannote[3201].speaker SPEAKER_02
transcript.pyannote[3201].start 14018.54909375
transcript.pyannote[3201].end 14018.80221875
transcript.pyannote[3202].speaker SPEAKER_04
transcript.pyannote[3202].start 14019.24096875
transcript.pyannote[3202].end 14019.96659375
transcript.pyannote[3203].speaker SPEAKER_02
transcript.pyannote[3203].start 14019.96659375
transcript.pyannote[3203].end 14020.03409375
transcript.pyannote[3204].speaker SPEAKER_04
transcript.pyannote[3204].start 14020.03409375
transcript.pyannote[3204].end 14020.05096875
transcript.pyannote[3205].speaker SPEAKER_02
transcript.pyannote[3205].start 14020.05096875
transcript.pyannote[3205].end 14020.08471875
transcript.pyannote[3206].speaker SPEAKER_04
transcript.pyannote[3206].start 14020.08471875
transcript.pyannote[3206].end 14030.74971875
transcript.pyannote[3207].speaker SPEAKER_02
transcript.pyannote[3207].start 14020.21971875
transcript.pyannote[3207].end 14020.38846875
transcript.pyannote[3208].speaker SPEAKER_02
transcript.pyannote[3208].start 14025.65346875
transcript.pyannote[3208].end 14027.50971875
transcript.pyannote[3209].speaker SPEAKER_02
transcript.pyannote[3209].start 14029.26471875
transcript.pyannote[3209].end 14034.04034375
transcript.pyannote[3210].speaker SPEAKER_04
transcript.pyannote[3210].start 14030.93534375
transcript.pyannote[3210].end 14031.32346875
transcript.pyannote[3211].speaker SPEAKER_04
transcript.pyannote[3211].start 14033.21346875
transcript.pyannote[3211].end 14039.72721875
transcript.pyannote[3212].speaker SPEAKER_02
transcript.pyannote[3212].start 14038.54596875
transcript.pyannote[3212].end 14041.92096875
transcript.pyannote[3213].speaker SPEAKER_04
transcript.pyannote[3213].start 14040.77346875
transcript.pyannote[3213].end 14040.84096875
transcript.pyannote[3214].speaker SPEAKER_02
transcript.pyannote[3214].start 14042.59596875
transcript.pyannote[3214].end 14045.75159375
transcript.pyannote[3215].speaker SPEAKER_02
transcript.pyannote[3215].start 14046.32534375
transcript.pyannote[3215].end 14046.81471875
transcript.pyannote[3216].speaker SPEAKER_02
transcript.pyannote[3216].start 14047.00034375
transcript.pyannote[3216].end 14049.02534375
transcript.pyannote[3217].speaker SPEAKER_04
transcript.pyannote[3217].start 14049.02534375
transcript.pyannote[3217].end 14049.43034375
transcript.pyannote[3218].speaker SPEAKER_02
transcript.pyannote[3218].start 14049.95346875
transcript.pyannote[3218].end 14049.97034375
transcript.pyannote[3219].speaker SPEAKER_04
transcript.pyannote[3219].start 14049.97034375
transcript.pyannote[3219].end 14052.72096875
transcript.pyannote[3220].speaker SPEAKER_04
transcript.pyannote[3220].start 14053.09221875
transcript.pyannote[3220].end 14053.10909375
transcript.pyannote[3221].speaker SPEAKER_02
transcript.pyannote[3221].start 14053.10909375
transcript.pyannote[3221].end 14054.17221875
transcript.pyannote[3222].speaker SPEAKER_04
transcript.pyannote[3222].start 14053.12596875
transcript.pyannote[3222].end 14056.07909375
transcript.pyannote[3223].speaker SPEAKER_04
transcript.pyannote[3223].start 14056.12971875
transcript.pyannote[3223].end 14056.14659375
transcript.pyannote[3224].speaker SPEAKER_02
transcript.pyannote[3224].start 14056.14659375
transcript.pyannote[3224].end 14056.93971875
transcript.pyannote[3225].speaker SPEAKER_04
transcript.pyannote[3225].start 14056.93971875
transcript.pyannote[3225].end 14056.95659375
transcript.pyannote[3226].speaker SPEAKER_04
transcript.pyannote[3226].start 14057.26034375
transcript.pyannote[3226].end 14061.10784375
transcript.pyannote[3227].speaker SPEAKER_04
transcript.pyannote[3227].start 14061.49596875
transcript.pyannote[3227].end 14063.08221875
transcript.pyannote[3228].speaker SPEAKER_02
transcript.pyannote[3228].start 14061.68159375
transcript.pyannote[3228].end 14061.91784375
transcript.pyannote[3229].speaker SPEAKER_02
transcript.pyannote[3229].start 14063.08221875
transcript.pyannote[3229].end 14063.11596875
transcript.pyannote[3230].speaker SPEAKER_04
transcript.pyannote[3230].start 14063.11596875
transcript.pyannote[3230].end 14063.97659375
transcript.pyannote[3231].speaker SPEAKER_02
transcript.pyannote[3231].start 14063.97659375
transcript.pyannote[3231].end 14071.23284375
transcript.pyannote[3232].speaker SPEAKER_04
transcript.pyannote[3232].start 14068.80284375
transcript.pyannote[3232].end 14068.92096875
transcript.pyannote[3233].speaker SPEAKER_04
transcript.pyannote[3233].start 14069.24159375
transcript.pyannote[3233].end 14071.89096875
transcript.pyannote[3234].speaker SPEAKER_02
transcript.pyannote[3234].start 14071.43534375
transcript.pyannote[3234].end 14075.75534375
transcript.pyannote[3235].speaker SPEAKER_02
transcript.pyannote[3235].start 14076.54846875
transcript.pyannote[3235].end 14077.78034375
transcript.pyannote[3236].speaker SPEAKER_04
transcript.pyannote[3236].start 14077.78034375
transcript.pyannote[3236].end 14077.79721875
transcript.pyannote[3237].speaker SPEAKER_02
transcript.pyannote[3237].start 14078.59034375
transcript.pyannote[3237].end 14078.60721875
transcript.pyannote[3238].speaker SPEAKER_04
transcript.pyannote[3238].start 14078.60721875
transcript.pyannote[3238].end 14084.05784375
transcript.pyannote[3239].speaker SPEAKER_04
transcript.pyannote[3239].start 14084.58096875
transcript.pyannote[3239].end 14094.82409375
transcript.pyannote[3240].speaker SPEAKER_04
transcript.pyannote[3240].start 14094.90846875
transcript.pyannote[3240].end 14094.94221875
transcript.pyannote[3241].speaker SPEAKER_02
transcript.pyannote[3241].start 14094.94221875
transcript.pyannote[3241].end 14100.78096875
transcript.pyannote[3242].speaker SPEAKER_04
transcript.pyannote[3242].start 14095.39784375
transcript.pyannote[3242].end 14095.83659375
transcript.pyannote[3243].speaker SPEAKER_02
transcript.pyannote[3243].start 14101.45596875
transcript.pyannote[3243].end 14103.95346875
transcript.pyannote[3244].speaker SPEAKER_02
transcript.pyannote[3244].start 14104.62846875
transcript.pyannote[3244].end 14107.66596875
transcript.pyannote[3245].speaker SPEAKER_02
transcript.pyannote[3245].start 14107.95284375
transcript.pyannote[3245].end 14108.91471875
transcript.pyannote[3246].speaker SPEAKER_02
transcript.pyannote[3246].start 14109.31971875
transcript.pyannote[3246].end 14110.39971875
transcript.pyannote[3247].speaker SPEAKER_02
transcript.pyannote[3247].start 14110.55159375
transcript.pyannote[3247].end 14110.99034375
transcript.pyannote[3248].speaker SPEAKER_02
transcript.pyannote[3248].start 14111.14221875
transcript.pyannote[3248].end 14112.57659375
transcript.pyannote[3249].speaker SPEAKER_02
transcript.pyannote[3249].start 14113.01534375
transcript.pyannote[3249].end 14116.35659375
transcript.pyannote[3250].speaker SPEAKER_02
transcript.pyannote[3250].start 14116.79534375
transcript.pyannote[3250].end 14118.07784375
transcript.pyannote[3251].speaker SPEAKER_02
transcript.pyannote[3251].start 14118.29721875
transcript.pyannote[3251].end 14126.32971875
transcript.pyannote[3252].speaker SPEAKER_02
transcript.pyannote[3252].start 14127.83159375
transcript.pyannote[3252].end 14129.02971875
transcript.pyannote[3253].speaker SPEAKER_02
transcript.pyannote[3253].start 14130.85221875
transcript.pyannote[3253].end 14132.11784375
transcript.pyannote[3254].speaker SPEAKER_02
transcript.pyannote[3254].start 14132.67471875
transcript.pyannote[3254].end 14133.34971875
transcript.pyannote[3255].speaker SPEAKER_02
transcript.pyannote[3255].start 14133.65346875
transcript.pyannote[3255].end 14134.64909375
transcript.pyannote[3256].speaker SPEAKER_02
transcript.pyannote[3256].start 14135.84721875
transcript.pyannote[3256].end 14138.42909375
transcript.pyannote[3257].speaker SPEAKER_02
transcript.pyannote[3257].start 14139.12096875
transcript.pyannote[3257].end 14141.34846875
transcript.pyannote[3258].speaker SPEAKER_02
transcript.pyannote[3258].start 14142.29346875
transcript.pyannote[3258].end 14143.28909375
transcript.pyannote[3259].speaker SPEAKER_02
transcript.pyannote[3259].start 14143.96409375
transcript.pyannote[3259].end 14144.75721875
transcript.pyannote[3260].speaker SPEAKER_02
transcript.pyannote[3260].start 14145.65159375
transcript.pyannote[3260].end 14146.42784375
transcript.pyannote[3261].speaker SPEAKER_02
transcript.pyannote[3261].start 14146.68096875
transcript.pyannote[3261].end 14147.22096875
transcript.pyannote[3262].speaker SPEAKER_02
transcript.pyannote[3262].start 14147.82846875
transcript.pyannote[3262].end 14149.02659375
transcript.pyannote[3263].speaker SPEAKER_02
transcript.pyannote[3263].start 14150.08971875
transcript.pyannote[3263].end 14151.72659375
transcript.pyannote[3264].speaker SPEAKER_02
transcript.pyannote[3264].start 14151.82784375
transcript.pyannote[3264].end 14152.31721875
transcript.pyannote[3265].speaker SPEAKER_02
transcript.pyannote[3265].start 14152.51971875
transcript.pyannote[3265].end 14153.38034375
transcript.pyannote[3266].speaker SPEAKER_02
transcript.pyannote[3266].start 14154.35909375
transcript.pyannote[3266].end 14155.50659375
transcript.pyannote[3267].speaker SPEAKER_02
transcript.pyannote[3267].start 14155.81034375
transcript.pyannote[3267].end 14158.24034375
transcript.pyannote[3268].speaker SPEAKER_02
transcript.pyannote[3268].start 14158.49346875
transcript.pyannote[3268].end 14162.40846875
transcript.pyannote[3269].speaker SPEAKER_02
transcript.pyannote[3269].start 14162.96534375
transcript.pyannote[3269].end 14166.03659375
transcript.pyannote[3270].speaker SPEAKER_02
transcript.pyannote[3270].start 14166.45846875
transcript.pyannote[3270].end 14167.60596875
transcript.pyannote[3271].speaker SPEAKER_02
transcript.pyannote[3271].start 14167.89284375
transcript.pyannote[3271].end 14169.73221875
transcript.pyannote[3272].speaker SPEAKER_02
transcript.pyannote[3272].start 14170.42409375
transcript.pyannote[3272].end 14171.65596875
transcript.pyannote[3273].speaker SPEAKER_02
transcript.pyannote[3273].start 14172.21284375
transcript.pyannote[3273].end 14174.10284375
transcript.pyannote[3274].speaker SPEAKER_02
transcript.pyannote[3274].start 14174.57534375
transcript.pyannote[3274].end 14176.51596875
transcript.pyannote[3275].speaker SPEAKER_02
transcript.pyannote[3275].start 14177.17409375
transcript.pyannote[3275].end 14178.38909375
transcript.pyannote[3276].speaker SPEAKER_02
transcript.pyannote[3276].start 14178.59159375
transcript.pyannote[3276].end 14179.55346875
transcript.pyannote[3277].speaker SPEAKER_02
transcript.pyannote[3277].start 14180.41409375
transcript.pyannote[3277].end 14180.92034375
transcript.pyannote[3278].speaker SPEAKER_02
transcript.pyannote[3278].start 14181.24096875
transcript.pyannote[3278].end 14182.06784375
transcript.pyannote[3279].speaker SPEAKER_02
transcript.pyannote[3279].start 14182.30409375
transcript.pyannote[3279].end 14183.33346875
transcript.pyannote[3280].speaker SPEAKER_02
transcript.pyannote[3280].start 14184.80159375
transcript.pyannote[3280].end 14185.62846875
transcript.pyannote[3281].speaker SPEAKER_02
transcript.pyannote[3281].start 14186.23596875
transcript.pyannote[3281].end 14186.82659375
transcript.pyannote[3282].speaker SPEAKER_02
transcript.pyannote[3282].start 14187.56909375
transcript.pyannote[3282].end 14188.42971875
transcript.pyannote[3283].speaker SPEAKER_02
transcript.pyannote[3283].start 14188.86846875
transcript.pyannote[3283].end 14190.25221875
transcript.pyannote[3284].speaker SPEAKER_02
transcript.pyannote[3284].start 14190.53909375
transcript.pyannote[3284].end 14191.53471875
transcript.pyannote[3285].speaker SPEAKER_02
transcript.pyannote[3285].start 14191.92284375
transcript.pyannote[3285].end 14192.59784375
transcript.pyannote[3286].speaker SPEAKER_02
transcript.pyannote[3286].start 14193.01971875
transcript.pyannote[3286].end 14193.67784375
transcript.pyannote[3287].speaker SPEAKER_02
transcript.pyannote[3287].start 14194.26846875
transcript.pyannote[3287].end 14195.77034375
transcript.pyannote[3288].speaker SPEAKER_02
transcript.pyannote[3288].start 14195.98971875
transcript.pyannote[3288].end 14196.39471875
transcript.pyannote[3289].speaker SPEAKER_04
transcript.pyannote[3289].start 14196.39471875
transcript.pyannote[3289].end 14196.41159375
transcript.pyannote[3290].speaker SPEAKER_02
transcript.pyannote[3290].start 14196.58034375
transcript.pyannote[3290].end 14197.03596875
transcript.pyannote[3291].speaker SPEAKER_04
transcript.pyannote[3291].start 14197.03596875
transcript.pyannote[3291].end 14197.20471875
transcript.pyannote[3292].speaker SPEAKER_04
transcript.pyannote[3292].start 14197.47471875
transcript.pyannote[3292].end 14198.50409375
transcript.pyannote[3293].speaker SPEAKER_04
transcript.pyannote[3293].start 14199.21284375
transcript.pyannote[3293].end 14228.03534375
transcript.pyannote[3294].speaker SPEAKER_02
transcript.pyannote[3294].start 14215.48034375
transcript.pyannote[3294].end 14216.23971875
transcript.pyannote[3295].speaker SPEAKER_02
transcript.pyannote[3295].start 14222.60159375
transcript.pyannote[3295].end 14224.54221875
transcript.pyannote[3296].speaker SPEAKER_04
transcript.pyannote[3296].start 14228.08596875
transcript.pyannote[3296].end 14262.61221875
transcript.pyannote[3297].speaker SPEAKER_02
transcript.pyannote[3297].start 14231.19096875
transcript.pyannote[3297].end 14231.69721875
transcript.pyannote[3298].speaker SPEAKER_02
transcript.pyannote[3298].start 14233.08096875
transcript.pyannote[3298].end 14234.49846875
transcript.pyannote[3299].speaker SPEAKER_02
transcript.pyannote[3299].start 14261.59971875
transcript.pyannote[3299].end 14262.89909375
transcript.pyannote[3300].speaker SPEAKER_04
transcript.pyannote[3300].start 14262.89909375
transcript.pyannote[3300].end 14262.98346875
transcript.pyannote[3301].speaker SPEAKER_04
transcript.pyannote[3301].start 14263.28721875
transcript.pyannote[3301].end 14272.72034375
transcript.pyannote[3302].speaker SPEAKER_02
transcript.pyannote[3302].start 14264.50221875
transcript.pyannote[3302].end 14266.27409375
transcript.pyannote[3303].speaker SPEAKER_04
transcript.pyannote[3303].start 14273.12534375
transcript.pyannote[3303].end 14274.35721875
transcript.pyannote[3304].speaker SPEAKER_02
transcript.pyannote[3304].start 14274.35721875
transcript.pyannote[3304].end 14275.23471875
transcript.pyannote[3305].speaker SPEAKER_04
transcript.pyannote[3305].start 14275.23471875
transcript.pyannote[3305].end 14281.19159375
transcript.pyannote[3306].speaker SPEAKER_02
transcript.pyannote[3306].start 14276.66909375
transcript.pyannote[3306].end 14278.33971875
transcript.pyannote[3307].speaker SPEAKER_02
transcript.pyannote[3307].start 14281.19159375
transcript.pyannote[3307].end 14288.02596875
transcript.pyannote[3308].speaker SPEAKER_04
transcript.pyannote[3308].start 14281.90034375
transcript.pyannote[3308].end 14282.52471875
transcript.pyannote[3309].speaker SPEAKER_04
transcript.pyannote[3309].start 14288.02596875
transcript.pyannote[3309].end 14290.20284375
transcript.pyannote[3310].speaker SPEAKER_04
transcript.pyannote[3310].start 14290.37159375
transcript.pyannote[3310].end 14302.31909375
transcript.pyannote[3311].speaker SPEAKER_39
transcript.pyannote[3311].start 14294.87721875
transcript.pyannote[3311].end 14294.91096875
transcript.pyannote[3312].speaker SPEAKER_02
transcript.pyannote[3312].start 14294.91096875
transcript.pyannote[3312].end 14298.25221875
transcript.pyannote[3313].speaker SPEAKER_04
transcript.pyannote[3313].start 14302.79159375
transcript.pyannote[3313].end 14311.26284375
transcript.pyannote[3314].speaker SPEAKER_04
transcript.pyannote[3314].start 14311.58346875
transcript.pyannote[3314].end 14312.93346875
transcript.pyannote[3315].speaker SPEAKER_04
transcript.pyannote[3315].start 14313.91221875
transcript.pyannote[3315].end 14314.58721875
transcript.pyannote[3316].speaker SPEAKER_04
transcript.pyannote[3316].start 14315.56596875
transcript.pyannote[3316].end 14316.12284375
transcript.pyannote[3317].speaker SPEAKER_04
transcript.pyannote[3317].start 14316.25784375
transcript.pyannote[3317].end 14319.66659375
transcript.pyannote[3318].speaker SPEAKER_39
transcript.pyannote[3318].start 14317.96221875
transcript.pyannote[3318].end 14318.60346875
transcript.pyannote[3319].speaker SPEAKER_39
transcript.pyannote[3319].start 14318.80596875
transcript.pyannote[3319].end 14322.97409375
transcript.pyannote[3320].speaker SPEAKER_04
transcript.pyannote[3320].start 14320.35846875
transcript.pyannote[3320].end 14323.05846875
transcript.pyannote[3321].speaker SPEAKER_02
transcript.pyannote[3321].start 14322.97409375
transcript.pyannote[3321].end 14323.02471875
transcript.pyannote[3322].speaker SPEAKER_02
transcript.pyannote[3322].start 14323.05846875
transcript.pyannote[3322].end 14323.14284375
transcript.pyannote[3323].speaker SPEAKER_02
transcript.pyannote[3323].start 14323.17659375
transcript.pyannote[3323].end 14323.32846875
transcript.pyannote[3324].speaker SPEAKER_04
transcript.pyannote[3324].start 14323.32846875
transcript.pyannote[3324].end 14323.37909375
transcript.pyannote[3325].speaker SPEAKER_02
transcript.pyannote[3325].start 14323.37909375
transcript.pyannote[3325].end 14328.05346875
transcript.pyannote[3326].speaker SPEAKER_02
transcript.pyannote[3326].start 14328.35721875
transcript.pyannote[3326].end 14330.88846875
transcript.pyannote[3327].speaker SPEAKER_02
transcript.pyannote[3327].start 14330.93909375
transcript.pyannote[3327].end 14332.23846875
transcript.pyannote[3328].speaker SPEAKER_02
transcript.pyannote[3328].start 14332.87971875
transcript.pyannote[3328].end 14334.07784375
transcript.pyannote[3329].speaker SPEAKER_02
transcript.pyannote[3329].start 14334.43221875
transcript.pyannote[3329].end 14335.22534375
transcript.pyannote[3330].speaker SPEAKER_02
transcript.pyannote[3330].start 14335.47846875
transcript.pyannote[3330].end 14335.51221875
transcript.pyannote[3331].speaker SPEAKER_04
transcript.pyannote[3331].start 14335.51221875
transcript.pyannote[3331].end 14336.74409375
transcript.pyannote[3332].speaker SPEAKER_04
transcript.pyannote[3332].start 14336.86221875
transcript.pyannote[3332].end 14360.87534375
transcript.pyannote[3333].speaker SPEAKER_02
transcript.pyannote[3333].start 14360.03159375
transcript.pyannote[3333].end 14360.92596875
transcript.pyannote[3334].speaker SPEAKER_04
transcript.pyannote[3334].start 14360.92596875
transcript.pyannote[3334].end 14360.97659375
transcript.pyannote[3335].speaker SPEAKER_02
transcript.pyannote[3335].start 14360.97659375
transcript.pyannote[3335].end 14361.01034375
transcript.pyannote[3336].speaker SPEAKER_02
transcript.pyannote[3336].start 14361.22971875
transcript.pyannote[3336].end 14361.39846875
transcript.pyannote[3337].speaker SPEAKER_04
transcript.pyannote[3337].start 14361.39846875
transcript.pyannote[3337].end 14361.97221875
transcript.pyannote[3338].speaker SPEAKER_02
transcript.pyannote[3338].start 14361.97221875
transcript.pyannote[3338].end 14362.02284375
transcript.pyannote[3339].speaker SPEAKER_04
transcript.pyannote[3339].start 14362.02284375
transcript.pyannote[3339].end 14362.03971875
transcript.pyannote[3340].speaker SPEAKER_02
transcript.pyannote[3340].start 14362.03971875
transcript.pyannote[3340].end 14362.69784375
transcript.pyannote[3341].speaker SPEAKER_04
transcript.pyannote[3341].start 14362.69784375
transcript.pyannote[3341].end 14362.95096875
transcript.pyannote[3342].speaker SPEAKER_02
transcript.pyannote[3342].start 14363.10284375
transcript.pyannote[3342].end 14364.25034375
transcript.pyannote[3343].speaker SPEAKER_02
transcript.pyannote[3343].start 14364.36846875
transcript.pyannote[3343].end 14364.85784375
transcript.pyannote[3344].speaker SPEAKER_02
transcript.pyannote[3344].start 14365.43159375
transcript.pyannote[3344].end 14366.47784375
transcript.pyannote[3345].speaker SPEAKER_04
transcript.pyannote[3345].start 14366.47784375
transcript.pyannote[3345].end 14366.62971875
transcript.pyannote[3346].speaker SPEAKER_02
transcript.pyannote[3346].start 14366.62971875
transcript.pyannote[3346].end 14366.66346875
transcript.pyannote[3347].speaker SPEAKER_04
transcript.pyannote[3347].start 14366.96721875
transcript.pyannote[3347].end 14380.48409375
transcript.pyannote[3348].speaker SPEAKER_02
transcript.pyannote[3348].start 14367.27096875
transcript.pyannote[3348].end 14367.89534375
transcript.pyannote[3349].speaker SPEAKER_02
transcript.pyannote[3349].start 14379.52221875
transcript.pyannote[3349].end 14380.68659375
transcript.pyannote[3350].speaker SPEAKER_02
transcript.pyannote[3350].start 14381.20971875
transcript.pyannote[3350].end 14383.06596875
transcript.pyannote[3351].speaker SPEAKER_02
transcript.pyannote[3351].start 14383.43721875
transcript.pyannote[3351].end 14386.22159375
transcript.pyannote[3352].speaker SPEAKER_02
transcript.pyannote[3352].start 14386.35659375
transcript.pyannote[3352].end 14388.12846875
transcript.pyannote[3353].speaker SPEAKER_02
transcript.pyannote[3353].start 14389.32659375
transcript.pyannote[3353].end 14389.95096875
transcript.pyannote[3354].speaker SPEAKER_04
transcript.pyannote[3354].start 14389.95096875
transcript.pyannote[3354].end 14394.65909375
transcript.pyannote[3355].speaker SPEAKER_02
transcript.pyannote[3355].start 14392.02659375
transcript.pyannote[3355].end 14392.14471875
transcript.pyannote[3356].speaker SPEAKER_02
transcript.pyannote[3356].start 14394.65909375
transcript.pyannote[3356].end 14395.11471875
transcript.pyannote[3357].speaker SPEAKER_02
transcript.pyannote[3357].start 14395.60409375
transcript.pyannote[3357].end 14395.95846875
transcript.pyannote[3358].speaker SPEAKER_04
transcript.pyannote[3358].start 14395.95846875
transcript.pyannote[3358].end 14395.97534375
transcript.pyannote[3359].speaker SPEAKER_02
transcript.pyannote[3359].start 14395.97534375
transcript.pyannote[3359].end 14398.59096875
transcript.pyannote[3360].speaker SPEAKER_02
transcript.pyannote[3360].start 14398.92846875
transcript.pyannote[3360].end 14400.43034375
transcript.pyannote[3361].speaker SPEAKER_02
transcript.pyannote[3361].start 14400.90284375
transcript.pyannote[3361].end 14401.20659375
transcript.pyannote[3362].speaker SPEAKER_02
transcript.pyannote[3362].start 14401.49346875
transcript.pyannote[3362].end 14404.78409375
transcript.pyannote[3363].speaker SPEAKER_02
transcript.pyannote[3363].start 14405.07096875
transcript.pyannote[3363].end 14406.45471875
transcript.pyannote[3364].speaker SPEAKER_04
transcript.pyannote[3364].start 14408.24346875
transcript.pyannote[3364].end 14409.10409375
transcript.pyannote[3365].speaker SPEAKER_02
transcript.pyannote[3365].start 14409.10409375
transcript.pyannote[3365].end 14411.02784375
transcript.pyannote[3366].speaker SPEAKER_04
transcript.pyannote[3366].start 14411.02784375
transcript.pyannote[3366].end 14411.46659375
transcript.pyannote[3367].speaker SPEAKER_04
transcript.pyannote[3367].start 14412.96846875
transcript.pyannote[3367].end 14416.02284375
transcript.pyannote[3368].speaker SPEAKER_02
transcript.pyannote[3368].start 14415.41534375
transcript.pyannote[3368].end 14415.60096875
transcript.pyannote[3369].speaker SPEAKER_02
transcript.pyannote[3369].start 14416.02284375
transcript.pyannote[3369].end 14416.15784375
transcript.pyannote[3370].speaker SPEAKER_04
transcript.pyannote[3370].start 14416.15784375
transcript.pyannote[3370].end 14416.19159375
transcript.pyannote[3371].speaker SPEAKER_02
transcript.pyannote[3371].start 14416.19159375
transcript.pyannote[3371].end 14416.22534375
transcript.pyannote[3372].speaker SPEAKER_02
transcript.pyannote[3372].start 14416.73159375
transcript.pyannote[3372].end 14420.76471875
transcript.pyannote[3373].speaker SPEAKER_02
transcript.pyannote[3373].start 14421.35534375
transcript.pyannote[3373].end 14425.03409375
transcript.pyannote[3374].speaker SPEAKER_02
transcript.pyannote[3374].start 14425.35471875
transcript.pyannote[3374].end 14428.05471875
transcript.pyannote[3375].speaker SPEAKER_02
transcript.pyannote[3375].start 14428.61159375
transcript.pyannote[3375].end 14429.69159375
transcript.pyannote[3376].speaker SPEAKER_04
transcript.pyannote[3376].start 14430.82221875
transcript.pyannote[3376].end 14438.97284375
transcript.pyannote[3377].speaker SPEAKER_02
transcript.pyannote[3377].start 14436.25596875
transcript.pyannote[3377].end 14436.28971875
transcript.pyannote[3378].speaker SPEAKER_02
transcript.pyannote[3378].start 14438.97284375
transcript.pyannote[3378].end 14440.57596875
transcript.pyannote[3379].speaker SPEAKER_29
transcript.pyannote[3379].start 14448.99659375
transcript.pyannote[3379].end 14450.63346875
transcript.pyannote[3380].speaker SPEAKER_15
transcript.pyannote[3380].start 14461.90596875
transcript.pyannote[3380].end 14464.06596875
transcript.pyannote[3381].speaker SPEAKER_28
transcript.pyannote[3381].start 14464.28534375
transcript.pyannote[3381].end 14464.97721875
transcript.pyannote[3382].speaker SPEAKER_15
transcript.pyannote[3382].start 14464.97721875
transcript.pyannote[3382].end 14464.99409375
transcript.pyannote[3383].speaker SPEAKER_21
transcript.pyannote[3383].start 14472.35159375
transcript.pyannote[3383].end 14472.72284375
transcript.pyannote[3384].speaker SPEAKER_15
transcript.pyannote[3384].start 14472.72284375
transcript.pyannote[3384].end 14472.73971875
transcript.pyannote[3385].speaker SPEAKER_21
transcript.pyannote[3385].start 14472.73971875
transcript.pyannote[3385].end 14472.75659375
transcript.pyannote[3386].speaker SPEAKER_15
transcript.pyannote[3386].start 14473.36409375
transcript.pyannote[3386].end 14474.49471875
transcript.pyannote[3387].speaker SPEAKER_15
transcript.pyannote[3387].start 14474.71409375
transcript.pyannote[3387].end 14485.02471875
transcript.pyannote[3388].speaker SPEAKER_15
transcript.pyannote[3388].start 14486.18909375
transcript.pyannote[3388].end 14487.28596875
transcript.pyannote[3389].speaker SPEAKER_15
transcript.pyannote[3389].start 14487.65721875
transcript.pyannote[3389].end 14508.09284375
transcript.pyannote[3390].speaker SPEAKER_15
transcript.pyannote[3390].start 14508.32909375
transcript.pyannote[3390].end 14509.03784375
transcript.pyannote[3391].speaker SPEAKER_04
transcript.pyannote[3391].start 14509.03784375
transcript.pyannote[3391].end 14509.20659375
transcript.pyannote[3392].speaker SPEAKER_15
transcript.pyannote[3392].start 14509.20659375
transcript.pyannote[3392].end 14509.29096875
transcript.pyannote[3393].speaker SPEAKER_04
transcript.pyannote[3393].start 14509.29096875
transcript.pyannote[3393].end 14509.37534375
transcript.pyannote[3394].speaker SPEAKER_15
transcript.pyannote[3394].start 14509.37534375
transcript.pyannote[3394].end 14509.54409375
transcript.pyannote[3395].speaker SPEAKER_04
transcript.pyannote[3395].start 14509.66221875
transcript.pyannote[3395].end 14533.94534375
transcript.pyannote[3396].speaker SPEAKER_04
transcript.pyannote[3396].start 14534.36721875
transcript.pyannote[3396].end 14540.54346875
transcript.pyannote[3397].speaker SPEAKER_15
transcript.pyannote[3397].start 14541.40409375
transcript.pyannote[3397].end 14542.50096875
transcript.pyannote[3398].speaker SPEAKER_15
transcript.pyannote[3398].start 14542.88909375
transcript.pyannote[3398].end 14567.03721875
transcript.pyannote[3399].speaker SPEAKER_04
transcript.pyannote[3399].start 14567.03721875
transcript.pyannote[3399].end 14567.81346875
transcript.pyannote[3400].speaker SPEAKER_15
transcript.pyannote[3400].start 14567.81346875
transcript.pyannote[3400].end 14567.89784375
transcript.pyannote[3401].speaker SPEAKER_04
transcript.pyannote[3401].start 14567.89784375
transcript.pyannote[3401].end 14567.99909375
transcript.pyannote[3402].speaker SPEAKER_04
transcript.pyannote[3402].start 14568.13409375
transcript.pyannote[3402].end 14579.69346875
transcript.pyannote[3403].speaker SPEAKER_04
transcript.pyannote[3403].start 14579.92971875
transcript.pyannote[3403].end 14580.50346875
transcript.pyannote[3404].speaker SPEAKER_04
transcript.pyannote[3404].start 14581.04346875
transcript.pyannote[3404].end 14581.95471875
transcript.pyannote[3405].speaker SPEAKER_04
transcript.pyannote[3405].start 14582.35971875
transcript.pyannote[3405].end 14597.29409375
transcript.pyannote[3406].speaker SPEAKER_04
transcript.pyannote[3406].start 14597.34471875
transcript.pyannote[3406].end 14602.82909375
transcript.pyannote[3407].speaker SPEAKER_15
transcript.pyannote[3407].start 14602.82909375
transcript.pyannote[3407].end 14602.94721875
transcript.pyannote[3408].speaker SPEAKER_04
transcript.pyannote[3408].start 14602.94721875
transcript.pyannote[3408].end 14602.96409375
transcript.pyannote[3409].speaker SPEAKER_15
transcript.pyannote[3409].start 14602.96409375
transcript.pyannote[3409].end 14604.16221875
transcript.pyannote[3410].speaker SPEAKER_15
transcript.pyannote[3410].start 14604.33096875
transcript.pyannote[3410].end 14629.55909375
transcript.pyannote[3411].speaker SPEAKER_04
transcript.pyannote[3411].start 14630.40284375
transcript.pyannote[3411].end 14639.19471875
transcript.pyannote[3412].speaker SPEAKER_04
transcript.pyannote[3412].start 14639.51534375
transcript.pyannote[3412].end 14652.54284375
transcript.pyannote[3413].speaker SPEAKER_04
transcript.pyannote[3413].start 14653.04909375
transcript.pyannote[3413].end 14653.97721875
transcript.pyannote[3414].speaker SPEAKER_15
transcript.pyannote[3414].start 14653.97721875
transcript.pyannote[3414].end 14662.22909375
transcript.pyannote[3415].speaker SPEAKER_15
transcript.pyannote[3415].start 14662.58346875
transcript.pyannote[3415].end 14663.44409375
transcript.pyannote[3416].speaker SPEAKER_15
transcript.pyannote[3416].start 14663.83221875
transcript.pyannote[3416].end 14665.51971875
transcript.pyannote[3417].speaker SPEAKER_15
transcript.pyannote[3417].start 14665.65471875
transcript.pyannote[3417].end 14677.53471875
transcript.pyannote[3418].speaker SPEAKER_15
transcript.pyannote[3418].start 14678.29409375
transcript.pyannote[3418].end 14681.29784375
transcript.pyannote[3419].speaker SPEAKER_15
transcript.pyannote[3419].start 14681.85471875
transcript.pyannote[3419].end 14692.18221875
transcript.pyannote[3420].speaker SPEAKER_04
transcript.pyannote[3420].start 14692.18221875
transcript.pyannote[3420].end 14692.23284375
transcript.pyannote[3421].speaker SPEAKER_15
transcript.pyannote[3421].start 14692.23284375
transcript.pyannote[3421].end 14692.28346875
transcript.pyannote[3422].speaker SPEAKER_15
transcript.pyannote[3422].start 14692.94159375
transcript.pyannote[3422].end 14692.97534375
transcript.pyannote[3423].speaker SPEAKER_04
transcript.pyannote[3423].start 14692.97534375
transcript.pyannote[3423].end 14693.48159375
transcript.pyannote[3424].speaker SPEAKER_04
transcript.pyannote[3424].start 14694.61221875
transcript.pyannote[3424].end 14711.25096875
transcript.pyannote[3425].speaker SPEAKER_03
transcript.pyannote[3425].start 14701.98659375
transcript.pyannote[3425].end 14703.62346875
transcript.pyannote[3426].speaker SPEAKER_04
transcript.pyannote[3426].start 14711.60534375
transcript.pyannote[3426].end 14712.93846875
transcript.pyannote[3427].speaker SPEAKER_04
transcript.pyannote[3427].start 14713.00596875
transcript.pyannote[3427].end 14714.15346875
transcript.pyannote[3428].speaker SPEAKER_04
transcript.pyannote[3428].start 14714.37284375
transcript.pyannote[3428].end 14717.32596875
transcript.pyannote[3429].speaker SPEAKER_04
transcript.pyannote[3429].start 14717.68034375
transcript.pyannote[3429].end 14721.20721875
transcript.pyannote[3430].speaker SPEAKER_04
transcript.pyannote[3430].start 14721.39284375
transcript.pyannote[3430].end 14724.24471875
transcript.pyannote[3431].speaker SPEAKER_04
transcript.pyannote[3431].start 14724.43034375
transcript.pyannote[3431].end 14729.10471875
transcript.pyannote[3432].speaker SPEAKER_04
transcript.pyannote[3432].start 14729.13846875
transcript.pyannote[3432].end 14729.98221875
transcript.pyannote[3433].speaker SPEAKER_04
transcript.pyannote[3433].start 14730.03284375
transcript.pyannote[3433].end 14733.03659375
transcript.pyannote[3434].speaker SPEAKER_15
transcript.pyannote[3434].start 14733.03659375
transcript.pyannote[3434].end 14733.18846875
transcript.pyannote[3435].speaker SPEAKER_04
transcript.pyannote[3435].start 14733.18846875
transcript.pyannote[3435].end 14733.96471875
transcript.pyannote[3436].speaker SPEAKER_15
transcript.pyannote[3436].start 14733.96471875
transcript.pyannote[3436].end 14743.02659375
transcript.pyannote[3437].speaker SPEAKER_04
transcript.pyannote[3437].start 14738.72346875
transcript.pyannote[3437].end 14739.09471875
transcript.pyannote[3438].speaker SPEAKER_00
transcript.pyannote[3438].start 14741.05221875
transcript.pyannote[3438].end 14741.06909375
transcript.pyannote[3439].speaker SPEAKER_04
transcript.pyannote[3439].start 14741.06909375
transcript.pyannote[3439].end 14741.42346875
transcript.pyannote[3440].speaker SPEAKER_00
transcript.pyannote[3440].start 14741.42346875
transcript.pyannote[3440].end 14741.47409375
transcript.pyannote[3441].speaker SPEAKER_15
transcript.pyannote[3441].start 14743.26284375
transcript.pyannote[3441].end 14745.42284375
transcript.pyannote[3442].speaker SPEAKER_15
transcript.pyannote[3442].start 14745.86159375
transcript.pyannote[3442].end 14750.36721875
transcript.pyannote[3443].speaker SPEAKER_15
transcript.pyannote[3443].start 14750.45159375
transcript.pyannote[3443].end 14784.38721875
transcript.pyannote[3444].speaker SPEAKER_04
transcript.pyannote[3444].start 14783.54346875
transcript.pyannote[3444].end 14787.25596875
transcript.pyannote[3445].speaker SPEAKER_04
transcript.pyannote[3445].start 14787.94784375
transcript.pyannote[3445].end 14793.28034375
transcript.pyannote[3446].speaker SPEAKER_04
transcript.pyannote[3446].start 14793.48284375
transcript.pyannote[3446].end 14797.02659375
transcript.pyannote[3447].speaker SPEAKER_04
transcript.pyannote[3447].start 14797.22909375
transcript.pyannote[3447].end 14800.53659375
transcript.pyannote[3448].speaker SPEAKER_04
transcript.pyannote[3448].start 14801.02596875
transcript.pyannote[3448].end 14802.78096875
transcript.pyannote[3449].speaker SPEAKER_04
transcript.pyannote[3449].start 14802.96659375
transcript.pyannote[3449].end 14806.88159375
transcript.pyannote[3450].speaker SPEAKER_04
transcript.pyannote[3450].start 14806.93221875
transcript.pyannote[3450].end 14809.29471875
transcript.pyannote[3451].speaker SPEAKER_04
transcript.pyannote[3451].start 14809.76721875
transcript.pyannote[3451].end 14812.29846875
transcript.pyannote[3452].speaker SPEAKER_04
transcript.pyannote[3452].start 14812.53471875
transcript.pyannote[3452].end 14815.63971875
transcript.pyannote[3453].speaker SPEAKER_04
transcript.pyannote[3453].start 14816.01096875
transcript.pyannote[3453].end 14823.53721875
transcript.pyannote[3454].speaker SPEAKER_04
transcript.pyannote[3454].start 14823.90846875
transcript.pyannote[3454].end 14824.76909375
transcript.pyannote[3455].speaker SPEAKER_15
transcript.pyannote[3455].start 14824.76909375
transcript.pyannote[3455].end 14824.78596875
transcript.pyannote[3456].speaker SPEAKER_04
transcript.pyannote[3456].start 14824.78596875
transcript.pyannote[3456].end 14824.92096875
transcript.pyannote[3457].speaker SPEAKER_04
transcript.pyannote[3457].start 14825.00534375
transcript.pyannote[3457].end 14825.05596875
transcript.pyannote[3458].speaker SPEAKER_15
transcript.pyannote[3458].start 14825.05596875
transcript.pyannote[3458].end 14856.61221875
transcript.pyannote[3459].speaker SPEAKER_00
transcript.pyannote[3459].start 14829.54471875
transcript.pyannote[3459].end 14829.57846875
transcript.pyannote[3460].speaker SPEAKER_08
transcript.pyannote[3460].start 14829.57846875
transcript.pyannote[3460].end 14829.93284375
transcript.pyannote[3461].speaker SPEAKER_00
transcript.pyannote[3461].start 14829.93284375
transcript.pyannote[3461].end 14829.96659375
transcript.pyannote[3462].speaker SPEAKER_00
transcript.pyannote[3462].start 14833.74659375
transcript.pyannote[3462].end 14834.18534375
transcript.pyannote[3463].speaker SPEAKER_00
transcript.pyannote[3463].start 14837.91471875
transcript.pyannote[3463].end 14837.99909375
transcript.pyannote[3464].speaker SPEAKER_41
transcript.pyannote[3464].start 14837.99909375
transcript.pyannote[3464].end 14838.03284375
transcript.pyannote[3465].speaker SPEAKER_39
transcript.pyannote[3465].start 14838.03284375
transcript.pyannote[3465].end 14838.33659375
transcript.pyannote[3466].speaker SPEAKER_41
transcript.pyannote[3466].start 14838.33659375
transcript.pyannote[3466].end 14838.38721875
transcript.pyannote[3467].speaker SPEAKER_00
transcript.pyannote[3467].start 14838.38721875
transcript.pyannote[3467].end 14838.70784375
transcript.pyannote[3468].speaker SPEAKER_15
transcript.pyannote[3468].start 14857.52346875
transcript.pyannote[3468].end 14857.54034375
transcript.pyannote[3469].speaker SPEAKER_04
transcript.pyannote[3469].start 14857.54034375
transcript.pyannote[3469].end 14858.72159375
transcript.pyannote[3470].speaker SPEAKER_15
transcript.pyannote[3470].start 14858.72159375
transcript.pyannote[3470].end 14858.78909375
transcript.pyannote[3471].speaker SPEAKER_04
transcript.pyannote[3471].start 14858.78909375
transcript.pyannote[3471].end 14864.76284375
transcript.pyannote[3472].speaker SPEAKER_04
transcript.pyannote[3472].start 14864.96534375
transcript.pyannote[3472].end 14870.11221875
transcript.pyannote[3473].speaker SPEAKER_04
transcript.pyannote[3473].start 14870.26409375
transcript.pyannote[3473].end 14874.31409375
transcript.pyannote[3474].speaker SPEAKER_04
transcript.pyannote[3474].start 14874.55034375
transcript.pyannote[3474].end 14880.43971875
transcript.pyannote[3475].speaker SPEAKER_04
transcript.pyannote[3475].start 14880.49034375
transcript.pyannote[3475].end 14882.53221875
transcript.pyannote[3476].speaker SPEAKER_04
transcript.pyannote[3476].start 14882.71784375
transcript.pyannote[3476].end 14889.97409375
transcript.pyannote[3477].speaker SPEAKER_15
transcript.pyannote[3477].start 14889.97409375
transcript.pyannote[3477].end 14922.08721875
transcript.pyannote[3478].speaker SPEAKER_37
transcript.pyannote[3478].start 14923.11659375
transcript.pyannote[3478].end 14923.28534375
transcript.pyannote[3479].speaker SPEAKER_29
transcript.pyannote[3479].start 14926.87971875
transcript.pyannote[3479].end 14927.26784375
transcript.pyannote[3480].speaker SPEAKER_29
transcript.pyannote[3480].start 14928.06096875
transcript.pyannote[3480].end 14929.73159375
transcript.pyannote[3481].speaker SPEAKER_37
transcript.pyannote[3481].start 14937.32534375
transcript.pyannote[3481].end 14938.25346875
transcript.pyannote[3482].speaker SPEAKER_37
transcript.pyannote[3482].start 14938.81034375
transcript.pyannote[3482].end 14940.39659375
transcript.pyannote[3483].speaker SPEAKER_28
transcript.pyannote[3483].start 14940.05909375
transcript.pyannote[3483].end 14940.73409375
transcript.pyannote[3484].speaker SPEAKER_37
transcript.pyannote[3484].start 14947.26471875
transcript.pyannote[3484].end 14948.86784375
transcript.pyannote[3485].speaker SPEAKER_37
transcript.pyannote[3485].start 14948.98596875
transcript.pyannote[3485].end 14952.93471875
transcript.pyannote[3486].speaker SPEAKER_37
transcript.pyannote[3486].start 14953.15409375
transcript.pyannote[3486].end 14954.03159375
transcript.pyannote[3487].speaker SPEAKER_10
transcript.pyannote[3487].start 14954.03159375
transcript.pyannote[3487].end 14955.61784375
transcript.pyannote[3488].speaker SPEAKER_37
transcript.pyannote[3488].start 14955.61784375
transcript.pyannote[3488].end 14955.65159375
transcript.pyannote[3489].speaker SPEAKER_07
transcript.pyannote[3489].start 14955.65159375
transcript.pyannote[3489].end 14956.14096875
transcript.pyannote[3490].speaker SPEAKER_10
transcript.pyannote[3490].start 14956.27596875
transcript.pyannote[3490].end 14956.71471875
transcript.pyannote[3491].speaker SPEAKER_10
transcript.pyannote[3491].start 14957.10284375
transcript.pyannote[3491].end 14964.32534375
transcript.pyannote[3492].speaker SPEAKER_10
transcript.pyannote[3492].start 14964.78096875
transcript.pyannote[3492].end 14969.35409375
transcript.pyannote[3493].speaker SPEAKER_10
transcript.pyannote[3493].start 14969.80971875
transcript.pyannote[3493].end 14974.16346875
transcript.pyannote[3494].speaker SPEAKER_37
transcript.pyannote[3494].start 14973.64034375
transcript.pyannote[3494].end 14973.91034375
transcript.pyannote[3495].speaker SPEAKER_10
transcript.pyannote[3495].start 14974.78784375
transcript.pyannote[3495].end 14981.21721875
transcript.pyannote[3496].speaker SPEAKER_10
transcript.pyannote[3496].start 14981.84159375
transcript.pyannote[3496].end 14988.42284375
transcript.pyannote[3497].speaker SPEAKER_04
transcript.pyannote[3497].start 14988.42284375
transcript.pyannote[3497].end 14988.45659375
transcript.pyannote[3498].speaker SPEAKER_10
transcript.pyannote[3498].start 14988.77721875
transcript.pyannote[3498].end 14989.03034375
transcript.pyannote[3499].speaker SPEAKER_04
transcript.pyannote[3499].start 14989.03034375
transcript.pyannote[3499].end 15006.85034375
transcript.pyannote[3500].speaker SPEAKER_10
transcript.pyannote[3500].start 15006.85034375
transcript.pyannote[3500].end 15021.27846875
transcript.pyannote[3501].speaker SPEAKER_04
transcript.pyannote[3501].start 15006.86721875
transcript.pyannote[3501].end 15007.25534375
transcript.pyannote[3502].speaker SPEAKER_04
transcript.pyannote[3502].start 15009.76971875
transcript.pyannote[3502].end 15010.91721875
transcript.pyannote[3503].speaker SPEAKER_00
transcript.pyannote[3503].start 15012.06471875
transcript.pyannote[3503].end 15012.08159375
transcript.pyannote[3504].speaker SPEAKER_04
transcript.pyannote[3504].start 15012.08159375
transcript.pyannote[3504].end 15012.55409375
transcript.pyannote[3505].speaker SPEAKER_07
transcript.pyannote[3505].start 15015.23721875
transcript.pyannote[3505].end 15015.77721875
transcript.pyannote[3506].speaker SPEAKER_00
transcript.pyannote[3506].start 15015.77721875
transcript.pyannote[3506].end 15015.79409375
transcript.pyannote[3507].speaker SPEAKER_10
transcript.pyannote[3507].start 15021.86909375
transcript.pyannote[3507].end 15022.56096875
transcript.pyannote[3508].speaker SPEAKER_10
transcript.pyannote[3508].start 15022.94909375
transcript.pyannote[3508].end 15028.85534375
transcript.pyannote[3509].speaker SPEAKER_10
transcript.pyannote[3509].start 15029.10846875
transcript.pyannote[3509].end 15029.46284375
transcript.pyannote[3510].speaker SPEAKER_10
transcript.pyannote[3510].start 15029.73284375
transcript.pyannote[3510].end 15030.84659375
transcript.pyannote[3511].speaker SPEAKER_10
transcript.pyannote[3511].start 15031.38659375
transcript.pyannote[3511].end 15033.39471875
transcript.pyannote[3512].speaker SPEAKER_10
transcript.pyannote[3512].start 15033.78284375
transcript.pyannote[3512].end 15034.42409375
transcript.pyannote[3513].speaker SPEAKER_10
transcript.pyannote[3513].start 15035.06534375
transcript.pyannote[3513].end 15035.90909375
transcript.pyannote[3514].speaker SPEAKER_10
transcript.pyannote[3514].start 15036.31409375
transcript.pyannote[3514].end 15038.10284375
transcript.pyannote[3515].speaker SPEAKER_10
transcript.pyannote[3515].start 15038.59221875
transcript.pyannote[3515].end 15042.03471875
transcript.pyannote[3516].speaker SPEAKER_04
transcript.pyannote[3516].start 15040.81971875
transcript.pyannote[3516].end 15041.51159375
transcript.pyannote[3517].speaker SPEAKER_04
transcript.pyannote[3517].start 15042.03471875
transcript.pyannote[3517].end 15059.38221875
transcript.pyannote[3518].speaker SPEAKER_10
transcript.pyannote[3518].start 15043.41846875
transcript.pyannote[3518].end 15044.32971875
transcript.pyannote[3519].speaker SPEAKER_00
transcript.pyannote[3519].start 15057.76221875
transcript.pyannote[3519].end 15057.77909375
transcript.pyannote[3520].speaker SPEAKER_10
transcript.pyannote[3520].start 15057.77909375
transcript.pyannote[3520].end 15058.35284375
transcript.pyannote[3521].speaker SPEAKER_00
transcript.pyannote[3521].start 15058.35284375
transcript.pyannote[3521].end 15058.42034375
transcript.pyannote[3522].speaker SPEAKER_00
transcript.pyannote[3522].start 15058.72409375
transcript.pyannote[3522].end 15058.85909375
transcript.pyannote[3523].speaker SPEAKER_10
transcript.pyannote[3523].start 15058.85909375
transcript.pyannote[3523].end 15059.12909375
transcript.pyannote[3524].speaker SPEAKER_00
transcript.pyannote[3524].start 15059.12909375
transcript.pyannote[3524].end 15059.24721875
transcript.pyannote[3525].speaker SPEAKER_04
transcript.pyannote[3525].start 15059.77034375
transcript.pyannote[3525].end 15082.97346875
transcript.pyannote[3526].speaker SPEAKER_10
transcript.pyannote[3526].start 15082.97346875
transcript.pyannote[3526].end 15105.65346875
transcript.pyannote[3527].speaker SPEAKER_04
transcript.pyannote[3527].start 15099.32534375
transcript.pyannote[3527].end 15099.76409375
transcript.pyannote[3528].speaker SPEAKER_04
transcript.pyannote[3528].start 15100.96221875
transcript.pyannote[3528].end 15103.54409375
transcript.pyannote[3529].speaker SPEAKER_07
transcript.pyannote[3529].start 15103.54409375
transcript.pyannote[3529].end 15103.59471875
transcript.pyannote[3530].speaker SPEAKER_10
transcript.pyannote[3530].start 15105.83909375
transcript.pyannote[3530].end 15115.27221875
transcript.pyannote[3531].speaker SPEAKER_10
transcript.pyannote[3531].start 15115.33971875
transcript.pyannote[3531].end 15124.58721875
transcript.pyannote[3532].speaker SPEAKER_08
transcript.pyannote[3532].start 15124.58721875
transcript.pyannote[3532].end 15124.82346875
transcript.pyannote[3533].speaker SPEAKER_10
transcript.pyannote[3533].start 15124.82346875
transcript.pyannote[3533].end 15136.39971875
transcript.pyannote[3534].speaker SPEAKER_10
transcript.pyannote[3534].start 15136.65284375
transcript.pyannote[3534].end 15159.63659375
transcript.pyannote[3535].speaker SPEAKER_00
transcript.pyannote[3535].start 15147.63846875
transcript.pyannote[3535].end 15147.84096875
transcript.pyannote[3536].speaker SPEAKER_10
transcript.pyannote[3536].start 15159.83909375
transcript.pyannote[3536].end 15160.98659375
transcript.pyannote[3537].speaker SPEAKER_10
transcript.pyannote[3537].start 15161.39159375
transcript.pyannote[3537].end 15163.02846875
transcript.pyannote[3538].speaker SPEAKER_04
transcript.pyannote[3538].start 15163.02846875
transcript.pyannote[3538].end 15163.75409375
transcript.pyannote[3539].speaker SPEAKER_04
transcript.pyannote[3539].start 15164.34471875
transcript.pyannote[3539].end 15189.97784375
transcript.pyannote[3540].speaker SPEAKER_41
transcript.pyannote[3540].start 15168.56346875
transcript.pyannote[3540].end 15168.64784375
transcript.pyannote[3541].speaker SPEAKER_40
transcript.pyannote[3541].start 15168.64784375
transcript.pyannote[3541].end 15168.81659375
transcript.pyannote[3542].speaker SPEAKER_41
transcript.pyannote[3542].start 15168.81659375
transcript.pyannote[3542].end 15168.90096875
transcript.pyannote[3543].speaker SPEAKER_40
transcript.pyannote[3543].start 15175.66784375
transcript.pyannote[3543].end 15176.27534375
transcript.pyannote[3544].speaker SPEAKER_40
transcript.pyannote[3544].start 15179.09346875
transcript.pyannote[3544].end 15180.44346875
transcript.pyannote[3545].speaker SPEAKER_03
transcript.pyannote[3545].start 15180.44346875
transcript.pyannote[3545].end 15181.30409375
transcript.pyannote[3546].speaker SPEAKER_10
transcript.pyannote[3546].start 15181.30409375
transcript.pyannote[3546].end 15181.32096875
transcript.pyannote[3547].speaker SPEAKER_10
transcript.pyannote[3547].start 15189.50534375
transcript.pyannote[3547].end 15204.42284375
transcript.pyannote[3548].speaker SPEAKER_04
transcript.pyannote[3548].start 15190.93971875
transcript.pyannote[3548].end 15191.31096875
transcript.pyannote[3549].speaker SPEAKER_04
transcript.pyannote[3549].start 15192.22221875
transcript.pyannote[3549].end 15193.55534375
transcript.pyannote[3550].speaker SPEAKER_04
transcript.pyannote[3550].start 15202.78596875
transcript.pyannote[3550].end 15206.70096875
transcript.pyannote[3551].speaker SPEAKER_10
transcript.pyannote[3551].start 15205.41846875
transcript.pyannote[3551].end 15207.29159375
transcript.pyannote[3552].speaker SPEAKER_04
transcript.pyannote[3552].start 15207.29159375
transcript.pyannote[3552].end 15207.96659375
transcript.pyannote[3553].speaker SPEAKER_10
transcript.pyannote[3553].start 15207.35909375
transcript.pyannote[3553].end 15222.69846875
transcript.pyannote[3554].speaker SPEAKER_04
transcript.pyannote[3554].start 15208.74284375
transcript.pyannote[3554].end 15209.75534375
transcript.pyannote[3555].speaker SPEAKER_04
transcript.pyannote[3555].start 15212.60721875
transcript.pyannote[3555].end 15213.60284375
transcript.pyannote[3556].speaker SPEAKER_04
transcript.pyannote[3556].start 15215.47596875
transcript.pyannote[3556].end 15216.97784375
transcript.pyannote[3557].speaker SPEAKER_00
transcript.pyannote[3557].start 15216.97784375
transcript.pyannote[3557].end 15217.02846875
transcript.pyannote[3558].speaker SPEAKER_04
transcript.pyannote[3558].start 15217.02846875
transcript.pyannote[3558].end 15220.77471875
transcript.pyannote[3559].speaker SPEAKER_40
transcript.pyannote[3559].start 15220.77471875
transcript.pyannote[3559].end 15220.97721875
transcript.pyannote[3560].speaker SPEAKER_04
transcript.pyannote[3560].start 15220.97721875
transcript.pyannote[3560].end 15221.55096875
transcript.pyannote[3561].speaker SPEAKER_00
transcript.pyannote[3561].start 15221.55096875
transcript.pyannote[3561].end 15221.70284375
transcript.pyannote[3562].speaker SPEAKER_04
transcript.pyannote[3562].start 15221.70284375
transcript.pyannote[3562].end 15222.51284375
transcript.pyannote[3563].speaker SPEAKER_10
transcript.pyannote[3563].start 15222.81659375
transcript.pyannote[3563].end 15225.38159375
transcript.pyannote[3564].speaker SPEAKER_10
transcript.pyannote[3564].start 15225.41534375
transcript.pyannote[3564].end 15231.57471875
transcript.pyannote[3565].speaker SPEAKER_10
transcript.pyannote[3565].start 15231.91221875
transcript.pyannote[3565].end 15232.58721875
transcript.pyannote[3566].speaker SPEAKER_10
transcript.pyannote[3566].start 15233.04284375
transcript.pyannote[3566].end 15237.26159375
transcript.pyannote[3567].speaker SPEAKER_10
transcript.pyannote[3567].start 15237.80159375
transcript.pyannote[3567].end 15246.84659375
transcript.pyannote[3568].speaker SPEAKER_10
transcript.pyannote[3568].start 15247.01534375
transcript.pyannote[3568].end 15247.94346875
transcript.pyannote[3569].speaker SPEAKER_10
transcript.pyannote[3569].start 15248.17971875
transcript.pyannote[3569].end 15250.72784375
transcript.pyannote[3570].speaker SPEAKER_10
transcript.pyannote[3570].start 15251.06534375
transcript.pyannote[3570].end 15262.40534375
transcript.pyannote[3571].speaker SPEAKER_10
transcript.pyannote[3571].start 15262.67534375
transcript.pyannote[3571].end 15275.41596875
transcript.pyannote[3572].speaker SPEAKER_10
transcript.pyannote[3572].start 15275.92221875
transcript.pyannote[3572].end 15276.73221875
transcript.pyannote[3573].speaker SPEAKER_10
transcript.pyannote[3573].start 15277.37346875
transcript.pyannote[3573].end 15278.23409375
transcript.pyannote[3574].speaker SPEAKER_04
transcript.pyannote[3574].start 15278.23409375
transcript.pyannote[3574].end 15300.64409375
transcript.pyannote[3575].speaker SPEAKER_10
transcript.pyannote[3575].start 15278.25096875
transcript.pyannote[3575].end 15279.41534375
transcript.pyannote[3576].speaker SPEAKER_04
transcript.pyannote[3576].start 15301.21784375
transcript.pyannote[3576].end 15303.76596875
transcript.pyannote[3577].speaker SPEAKER_04
transcript.pyannote[3577].start 15304.00221875
transcript.pyannote[3577].end 15310.56659375
transcript.pyannote[3578].speaker SPEAKER_10
transcript.pyannote[3578].start 15309.80721875
transcript.pyannote[3578].end 15311.81534375
transcript.pyannote[3579].speaker SPEAKER_04
transcript.pyannote[3579].start 15311.81534375
transcript.pyannote[3579].end 15312.00096875
transcript.pyannote[3580].speaker SPEAKER_10
transcript.pyannote[3580].start 15311.84909375
transcript.pyannote[3580].end 15322.09221875
transcript.pyannote[3581].speaker SPEAKER_04
transcript.pyannote[3581].start 15321.65346875
transcript.pyannote[3581].end 15326.20971875
transcript.pyannote[3582].speaker SPEAKER_10
transcript.pyannote[3582].start 15322.81784375
transcript.pyannote[3582].end 15323.34096875
transcript.pyannote[3583].speaker SPEAKER_10
transcript.pyannote[3583].start 15324.50534375
transcript.pyannote[3583].end 15331.35659375
transcript.pyannote[3584].speaker SPEAKER_04
transcript.pyannote[3584].start 15327.03659375
transcript.pyannote[3584].end 15327.69471875
transcript.pyannote[3585].speaker SPEAKER_04
transcript.pyannote[3585].start 15328.74096875
transcript.pyannote[3585].end 15329.75346875
transcript.pyannote[3586].speaker SPEAKER_41
transcript.pyannote[3586].start 15329.75346875
transcript.pyannote[3586].end 15329.78721875
transcript.pyannote[3587].speaker SPEAKER_10
transcript.pyannote[3587].start 15331.91346875
transcript.pyannote[3587].end 15337.83659375
transcript.pyannote[3588].speaker SPEAKER_40
transcript.pyannote[3588].start 15332.45346875
transcript.pyannote[3588].end 15332.47034375
transcript.pyannote[3589].speaker SPEAKER_04
transcript.pyannote[3589].start 15332.47034375
transcript.pyannote[3589].end 15337.85346875
transcript.pyannote[3590].speaker SPEAKER_10
transcript.pyannote[3590].start 15337.85346875
transcript.pyannote[3590].end 15337.87034375
transcript.pyannote[3591].speaker SPEAKER_29
transcript.pyannote[3591].start 15344.58659375
transcript.pyannote[3591].end 15346.24034375
transcript.pyannote[3592].speaker SPEAKER_39
transcript.pyannote[3592].start 15346.32471875
transcript.pyannote[3592].end 15346.56096875
transcript.pyannote[3593].speaker SPEAKER_29
transcript.pyannote[3593].start 15353.73284375
transcript.pyannote[3593].end 15353.74971875
transcript.pyannote[3594].speaker SPEAKER_28
transcript.pyannote[3594].start 15353.74971875
transcript.pyannote[3594].end 15355.52159375
transcript.pyannote[3595].speaker SPEAKER_29
transcript.pyannote[3595].start 15355.52159375
transcript.pyannote[3595].end 15355.58909375
transcript.pyannote[3596].speaker SPEAKER_28
transcript.pyannote[3596].start 15355.58909375
transcript.pyannote[3596].end 15356.53409375
transcript.pyannote[3597].speaker SPEAKER_08
transcript.pyannote[3597].start 15363.72284375
transcript.pyannote[3597].end 15364.16159375
transcript.pyannote[3598].speaker SPEAKER_26
transcript.pyannote[3598].start 15364.29659375
transcript.pyannote[3598].end 15364.85346875
transcript.pyannote[3599].speaker SPEAKER_26
transcript.pyannote[3599].start 15365.25846875
transcript.pyannote[3599].end 15372.95346875
transcript.pyannote[3600].speaker SPEAKER_26
transcript.pyannote[3600].start 15373.45971875
transcript.pyannote[3600].end 15376.78409375
transcript.pyannote[3601].speaker SPEAKER_26
transcript.pyannote[3601].start 15377.29034375
transcript.pyannote[3601].end 15382.85909375
transcript.pyannote[3602].speaker SPEAKER_26
transcript.pyannote[3602].start 15383.16284375
transcript.pyannote[3602].end 15383.46659375
transcript.pyannote[3603].speaker SPEAKER_26
transcript.pyannote[3603].start 15384.12471875
transcript.pyannote[3603].end 15387.09471875
transcript.pyannote[3604].speaker SPEAKER_26
transcript.pyannote[3604].start 15387.55034375
transcript.pyannote[3604].end 15391.07721875
transcript.pyannote[3605].speaker SPEAKER_08
transcript.pyannote[3605].start 15391.07721875
transcript.pyannote[3605].end 15391.34721875
transcript.pyannote[3606].speaker SPEAKER_26
transcript.pyannote[3606].start 15391.34721875
transcript.pyannote[3606].end 15391.92096875
transcript.pyannote[3607].speaker SPEAKER_08
transcript.pyannote[3607].start 15391.85346875
transcript.pyannote[3607].end 15392.22471875
transcript.pyannote[3608].speaker SPEAKER_26
transcript.pyannote[3608].start 15392.42721875
transcript.pyannote[3608].end 15400.25721875
transcript.pyannote[3609].speaker SPEAKER_26
transcript.pyannote[3609].start 15400.44284375
transcript.pyannote[3609].end 15409.58909375
transcript.pyannote[3610].speaker SPEAKER_26
transcript.pyannote[3610].start 15409.97721875
transcript.pyannote[3610].end 15411.31034375
transcript.pyannote[3611].speaker SPEAKER_26
transcript.pyannote[3611].start 15411.63096875
transcript.pyannote[3611].end 15420.59159375
transcript.pyannote[3612].speaker SPEAKER_26
transcript.pyannote[3612].start 15420.87846875
transcript.pyannote[3612].end 15434.81721875
transcript.pyannote[3613].speaker SPEAKER_26
transcript.pyannote[3613].start 15434.83409375
transcript.pyannote[3613].end 15467.43659375
transcript.pyannote[3614].speaker SPEAKER_26
transcript.pyannote[3614].start 15468.29721875
transcript.pyannote[3614].end 15471.68909375
transcript.pyannote[3615].speaker SPEAKER_04
transcript.pyannote[3615].start 15471.68909375
transcript.pyannote[3615].end 15471.70596875
transcript.pyannote[3616].speaker SPEAKER_04
transcript.pyannote[3616].start 15472.12784375
transcript.pyannote[3616].end 15480.76784375
transcript.pyannote[3617].speaker SPEAKER_26
transcript.pyannote[3617].start 15473.37659375
transcript.pyannote[3617].end 15474.10221875
transcript.pyannote[3618].speaker SPEAKER_26
transcript.pyannote[3618].start 15480.71721875
transcript.pyannote[3618].end 15482.03346875
transcript.pyannote[3619].speaker SPEAKER_26
transcript.pyannote[3619].start 15482.45534375
transcript.pyannote[3619].end 15489.22221875
transcript.pyannote[3620].speaker SPEAKER_26
transcript.pyannote[3620].start 15489.54284375
transcript.pyannote[3620].end 15503.66721875
transcript.pyannote[3621].speaker SPEAKER_04
transcript.pyannote[3621].start 15503.86971875
transcript.pyannote[3621].end 15515.34471875
transcript.pyannote[3622].speaker SPEAKER_26
transcript.pyannote[3622].start 15511.56471875
transcript.pyannote[3622].end 15518.21346875
transcript.pyannote[3623].speaker SPEAKER_04
transcript.pyannote[3623].start 15518.21346875
transcript.pyannote[3623].end 15519.49596875
transcript.pyannote[3624].speaker SPEAKER_26
transcript.pyannote[3624].start 15519.09096875
transcript.pyannote[3624].end 15519.71534375
transcript.pyannote[3625].speaker SPEAKER_04
transcript.pyannote[3625].start 15519.71534375
transcript.pyannote[3625].end 15519.83346875
transcript.pyannote[3626].speaker SPEAKER_26
transcript.pyannote[3626].start 15519.83346875
transcript.pyannote[3626].end 15521.03159375
transcript.pyannote[3627].speaker SPEAKER_04
transcript.pyannote[3627].start 15521.03159375
transcript.pyannote[3627].end 15525.65534375
transcript.pyannote[3628].speaker SPEAKER_26
transcript.pyannote[3628].start 15523.39409375
transcript.pyannote[3628].end 15524.50784375
transcript.pyannote[3629].speaker SPEAKER_26
transcript.pyannote[3629].start 15524.69346875
transcript.pyannote[3629].end 15535.30784375
transcript.pyannote[3630].speaker SPEAKER_04
transcript.pyannote[3630].start 15526.70159375
transcript.pyannote[3630].end 15529.03034375
transcript.pyannote[3631].speaker SPEAKER_05
transcript.pyannote[3631].start 15529.03034375
transcript.pyannote[3631].end 15532.81034375
transcript.pyannote[3632].speaker SPEAKER_26
transcript.pyannote[3632].start 15536.05034375
transcript.pyannote[3632].end 15538.66596875
transcript.pyannote[3633].speaker SPEAKER_04
transcript.pyannote[3633].start 15538.90221875
transcript.pyannote[3633].end 15540.38721875
transcript.pyannote[3634].speaker SPEAKER_04
transcript.pyannote[3634].start 15541.21409375
transcript.pyannote[3634].end 15546.66471875
transcript.pyannote[3635].speaker SPEAKER_26
transcript.pyannote[3635].start 15543.17159375
transcript.pyannote[3635].end 15546.78284375
transcript.pyannote[3636].speaker SPEAKER_26
transcript.pyannote[3636].start 15547.32284375
transcript.pyannote[3636].end 15548.43659375
transcript.pyannote[3637].speaker SPEAKER_04
transcript.pyannote[3637].start 15549.19596875
transcript.pyannote[3637].end 15557.36346875
transcript.pyannote[3638].speaker SPEAKER_26
transcript.pyannote[3638].start 15553.98846875
transcript.pyannote[3638].end 15554.12346875
transcript.pyannote[3639].speaker SPEAKER_26
transcript.pyannote[3639].start 15556.35096875
transcript.pyannote[3639].end 15573.95159375
transcript.pyannote[3640].speaker SPEAKER_26
transcript.pyannote[3640].start 15574.37346875
transcript.pyannote[3640].end 15578.27159375
transcript.pyannote[3641].speaker SPEAKER_04
transcript.pyannote[3641].start 15578.49096875
transcript.pyannote[3641].end 15588.90284375
transcript.pyannote[3642].speaker SPEAKER_26
transcript.pyannote[3642].start 15580.09409375
transcript.pyannote[3642].end 15581.22471875
transcript.pyannote[3643].speaker SPEAKER_26
transcript.pyannote[3643].start 15582.11909375
transcript.pyannote[3643].end 15582.87846875
transcript.pyannote[3644].speaker SPEAKER_26
transcript.pyannote[3644].start 15583.73909375
transcript.pyannote[3644].end 15583.87409375
transcript.pyannote[3645].speaker SPEAKER_39
transcript.pyannote[3645].start 15583.87409375
transcript.pyannote[3645].end 15584.11034375
transcript.pyannote[3646].speaker SPEAKER_26
transcript.pyannote[3646].start 15584.11034375
transcript.pyannote[3646].end 15584.16096875
transcript.pyannote[3647].speaker SPEAKER_39
transcript.pyannote[3647].start 15584.16096875
transcript.pyannote[3647].end 15584.21159375
transcript.pyannote[3648].speaker SPEAKER_26
transcript.pyannote[3648].start 15584.21159375
transcript.pyannote[3648].end 15584.22846875
transcript.pyannote[3649].speaker SPEAKER_39
transcript.pyannote[3649].start 15584.22846875
transcript.pyannote[3649].end 15584.24534375
transcript.pyannote[3650].speaker SPEAKER_26
transcript.pyannote[3650].start 15584.24534375
transcript.pyannote[3650].end 15584.31284375
transcript.pyannote[3651].speaker SPEAKER_39
transcript.pyannote[3651].start 15584.31284375
transcript.pyannote[3651].end 15584.32971875
transcript.pyannote[3652].speaker SPEAKER_26
transcript.pyannote[3652].start 15584.32971875
transcript.pyannote[3652].end 15584.75159375
transcript.pyannote[3653].speaker SPEAKER_39
transcript.pyannote[3653].start 15584.75159375
transcript.pyannote[3653].end 15584.85284375
transcript.pyannote[3654].speaker SPEAKER_26
transcript.pyannote[3654].start 15584.85284375
transcript.pyannote[3654].end 15584.86971875
transcript.pyannote[3655].speaker SPEAKER_26
transcript.pyannote[3655].start 15587.33346875
transcript.pyannote[3655].end 15587.36721875
transcript.pyannote[3656].speaker SPEAKER_26
transcript.pyannote[3656].start 15588.10971875
transcript.pyannote[3656].end 15588.86909375
transcript.pyannote[3657].speaker SPEAKER_26
transcript.pyannote[3657].start 15589.51034375
transcript.pyannote[3657].end 15592.26096875
transcript.pyannote[3658].speaker SPEAKER_26
transcript.pyannote[3658].start 15592.44659375
transcript.pyannote[3658].end 15594.53909375
transcript.pyannote[3659].speaker SPEAKER_08
transcript.pyannote[3659].start 15592.48034375
transcript.pyannote[3659].end 15594.62346875
transcript.pyannote[3660].speaker SPEAKER_26
transcript.pyannote[3660].start 15594.85971875
transcript.pyannote[3660].end 15620.15534375
transcript.pyannote[3661].speaker SPEAKER_04
transcript.pyannote[3661].start 15616.07159375
transcript.pyannote[3661].end 15622.92284375
transcript.pyannote[3662].speaker SPEAKER_26
transcript.pyannote[3662].start 15621.25221875
transcript.pyannote[3662].end 15621.79221875
transcript.pyannote[3663].speaker SPEAKER_26
transcript.pyannote[3663].start 15621.97784375
transcript.pyannote[3663].end 15624.76221875
transcript.pyannote[3664].speaker SPEAKER_26
transcript.pyannote[3664].start 15625.38659375
transcript.pyannote[3664].end 15628.28909375
transcript.pyannote[3665].speaker SPEAKER_04
transcript.pyannote[3665].start 15625.84221875
transcript.pyannote[3665].end 15628.13721875
transcript.pyannote[3666].speaker SPEAKER_26
transcript.pyannote[3666].start 15628.66034375
transcript.pyannote[3666].end 15631.27596875
transcript.pyannote[3667].speaker SPEAKER_04
transcript.pyannote[3667].start 15628.76159375
transcript.pyannote[3667].end 15631.54596875
transcript.pyannote[3668].speaker SPEAKER_26
transcript.pyannote[3668].start 15631.81596875
transcript.pyannote[3668].end 15633.70596875
transcript.pyannote[3669].speaker SPEAKER_26
transcript.pyannote[3669].start 15634.22909375
transcript.pyannote[3669].end 15635.54534375
transcript.pyannote[3670].speaker SPEAKER_04
transcript.pyannote[3670].start 15634.24596875
transcript.pyannote[3670].end 15639.78096875
transcript.pyannote[3671].speaker SPEAKER_26
transcript.pyannote[3671].start 15636.87846875
transcript.pyannote[3671].end 15637.46909375
transcript.pyannote[3672].speaker SPEAKER_26
transcript.pyannote[3672].start 15638.38034375
transcript.pyannote[3672].end 15643.49346875
transcript.pyannote[3673].speaker SPEAKER_26
transcript.pyannote[3673].start 15643.84784375
transcript.pyannote[3673].end 15650.73284375
transcript.pyannote[3674].speaker SPEAKER_26
transcript.pyannote[3674].start 15651.30659375
transcript.pyannote[3674].end 15651.72846875
transcript.pyannote[3675].speaker SPEAKER_04
transcript.pyannote[3675].start 15651.72846875
transcript.pyannote[3675].end 15660.03096875
transcript.pyannote[3676].speaker SPEAKER_26
transcript.pyannote[3676].start 15651.74534375
transcript.pyannote[3676].end 15653.80409375
transcript.pyannote[3677].speaker SPEAKER_26
transcript.pyannote[3677].start 15654.83346875
transcript.pyannote[3677].end 15655.99784375
transcript.pyannote[3678].speaker SPEAKER_26
transcript.pyannote[3678].start 15656.70659375
transcript.pyannote[3678].end 15662.52846875
transcript.pyannote[3679].speaker SPEAKER_26
transcript.pyannote[3679].start 15662.74784375
transcript.pyannote[3679].end 15670.52721875
transcript.pyannote[3680].speaker SPEAKER_41
transcript.pyannote[3680].start 15667.97909375
transcript.pyannote[3680].end 15670.03784375
transcript.pyannote[3681].speaker SPEAKER_26
transcript.pyannote[3681].start 15670.98284375
transcript.pyannote[3681].end 15671.69159375
transcript.pyannote[3682].speaker SPEAKER_26
transcript.pyannote[3682].start 15672.14721875
transcript.pyannote[3682].end 15673.41284375
transcript.pyannote[3683].speaker SPEAKER_26
transcript.pyannote[3683].start 15674.67846875
transcript.pyannote[3683].end 15675.30284375
transcript.pyannote[3684].speaker SPEAKER_26
transcript.pyannote[3684].start 15675.87659375
transcript.pyannote[3684].end 15677.69909375
transcript.pyannote[3685].speaker SPEAKER_26
transcript.pyannote[3685].start 15678.42471875
transcript.pyannote[3685].end 15680.58471875
transcript.pyannote[3686].speaker SPEAKER_04
transcript.pyannote[3686].start 15679.26846875
transcript.pyannote[3686].end 15679.99409375
transcript.pyannote[3687].speaker SPEAKER_04
transcript.pyannote[3687].start 15680.58471875
transcript.pyannote[3687].end 15680.88846875
transcript.pyannote[3688].speaker SPEAKER_26
transcript.pyannote[3688].start 15680.88846875
transcript.pyannote[3688].end 15680.97284375
transcript.pyannote[3689].speaker SPEAKER_04
transcript.pyannote[3689].start 15680.97284375
transcript.pyannote[3689].end 15681.00659375
transcript.pyannote[3690].speaker SPEAKER_26
transcript.pyannote[3690].start 15681.00659375
transcript.pyannote[3690].end 15683.11596875
transcript.pyannote[3691].speaker SPEAKER_04
transcript.pyannote[3691].start 15681.02346875
transcript.pyannote[3691].end 15683.06534375
transcript.pyannote[3692].speaker SPEAKER_26
transcript.pyannote[3692].start 15683.70659375
transcript.pyannote[3692].end 15685.90034375
transcript.pyannote[3693].speaker SPEAKER_26
transcript.pyannote[3693].start 15686.79471875
transcript.pyannote[3693].end 15693.66284375
transcript.pyannote[3694].speaker SPEAKER_26
transcript.pyannote[3694].start 15694.11846875
transcript.pyannote[3694].end 15711.16221875
transcript.pyannote[3695].speaker SPEAKER_39
transcript.pyannote[3695].start 15706.87596875
transcript.pyannote[3695].end 15708.85034375
transcript.pyannote[3696].speaker SPEAKER_26
transcript.pyannote[3696].start 15711.36471875
transcript.pyannote[3696].end 15713.42346875
transcript.pyannote[3697].speaker SPEAKER_26
transcript.pyannote[3697].start 15713.59221875
transcript.pyannote[3697].end 15720.52784375
transcript.pyannote[3698].speaker SPEAKER_26
transcript.pyannote[3698].start 15721.05096875
transcript.pyannote[3698].end 15725.87721875
transcript.pyannote[3699].speaker SPEAKER_26
transcript.pyannote[3699].start 15726.21471875
transcript.pyannote[3699].end 15726.70409375
transcript.pyannote[3700].speaker SPEAKER_26
transcript.pyannote[3700].start 15727.12596875
transcript.pyannote[3700].end 15730.24784375
transcript.pyannote[3701].speaker SPEAKER_26
transcript.pyannote[3701].start 15731.12534375
transcript.pyannote[3701].end 15733.87596875
transcript.pyannote[3702].speaker SPEAKER_26
transcript.pyannote[3702].start 15734.04471875
transcript.pyannote[3702].end 15736.47471875
transcript.pyannote[3703].speaker SPEAKER_26
transcript.pyannote[3703].start 15736.93034375
transcript.pyannote[3703].end 15740.87909375
transcript.pyannote[3704].speaker SPEAKER_26
transcript.pyannote[3704].start 15741.16596875
transcript.pyannote[3704].end 15744.92909375
transcript.pyannote[3705].speaker SPEAKER_26
transcript.pyannote[3705].start 15745.41846875
transcript.pyannote[3705].end 15746.48159375
transcript.pyannote[3706].speaker SPEAKER_26
transcript.pyannote[3706].start 15746.81909375
transcript.pyannote[3706].end 15757.80471875
transcript.pyannote[3707].speaker SPEAKER_26
transcript.pyannote[3707].start 15758.19284375
transcript.pyannote[3707].end 15765.76971875
transcript.pyannote[3708].speaker SPEAKER_26
transcript.pyannote[3708].start 15766.30971875
transcript.pyannote[3708].end 15767.50784375
transcript.pyannote[3709].speaker SPEAKER_26
transcript.pyannote[3709].start 15767.67659375
transcript.pyannote[3709].end 15772.94159375
transcript.pyannote[3710].speaker SPEAKER_26
transcript.pyannote[3710].start 15773.43096875
transcript.pyannote[3710].end 15777.31221875
transcript.pyannote[3711].speaker SPEAKER_26
transcript.pyannote[3711].start 15777.32909375
transcript.pyannote[3711].end 15787.16721875
transcript.pyannote[3712].speaker SPEAKER_26
transcript.pyannote[3712].start 15787.80846875
transcript.pyannote[3712].end 15789.46221875
transcript.pyannote[3713].speaker SPEAKER_26
transcript.pyannote[3713].start 15789.83346875
transcript.pyannote[3713].end 15793.42784375
transcript.pyannote[3714].speaker SPEAKER_26
transcript.pyannote[3714].start 15793.76534375
transcript.pyannote[3714].end 15799.94159375
transcript.pyannote[3715].speaker SPEAKER_26
transcript.pyannote[3715].start 15800.71784375
transcript.pyannote[3715].end 15801.96659375
transcript.pyannote[3716].speaker SPEAKER_26
transcript.pyannote[3716].start 15802.35471875
transcript.pyannote[3716].end 15807.02909375
transcript.pyannote[3717].speaker SPEAKER_04
transcript.pyannote[3717].start 15804.41346875
transcript.pyannote[3717].end 15804.61596875
transcript.pyannote[3718].speaker SPEAKER_04
transcript.pyannote[3718].start 15807.02909375
transcript.pyannote[3718].end 15815.82096875
transcript.pyannote[3719].speaker SPEAKER_26
transcript.pyannote[3719].start 15807.65346875
transcript.pyannote[3719].end 15808.41284375
transcript.pyannote[3720].speaker SPEAKER_26
transcript.pyannote[3720].start 15814.74096875
transcript.pyannote[3720].end 15823.44846875
transcript.pyannote[3721].speaker SPEAKER_40
transcript.pyannote[3721].start 15816.17534375
transcript.pyannote[3721].end 15816.27659375
transcript.pyannote[3722].speaker SPEAKER_04
transcript.pyannote[3722].start 15816.27659375
transcript.pyannote[3722].end 15816.69846875
transcript.pyannote[3723].speaker SPEAKER_04
transcript.pyannote[3723].start 15819.14534375
transcript.pyannote[3723].end 15819.68534375
transcript.pyannote[3724].speaker SPEAKER_04
transcript.pyannote[3724].start 15821.01846875
transcript.pyannote[3724].end 15825.92909375
transcript.pyannote[3725].speaker SPEAKER_26
transcript.pyannote[3725].start 15824.44409375
transcript.pyannote[3725].end 15829.82721875
transcript.pyannote[3726].speaker SPEAKER_04
transcript.pyannote[3726].start 15827.38034375
transcript.pyannote[3726].end 15827.81909375
transcript.pyannote[3727].speaker SPEAKER_04
transcript.pyannote[3727].start 15828.03846875
transcript.pyannote[3727].end 15833.99534375
transcript.pyannote[3728].speaker SPEAKER_26
transcript.pyannote[3728].start 15833.99534375
transcript.pyannote[3728].end 15835.88534375
transcript.pyannote[3729].speaker SPEAKER_04
transcript.pyannote[3729].start 15834.48471875
transcript.pyannote[3729].end 15836.34096875
transcript.pyannote[3730].speaker SPEAKER_26
transcript.pyannote[3730].start 15836.34096875
transcript.pyannote[3730].end 15837.25221875
transcript.pyannote[3731].speaker SPEAKER_04
transcript.pyannote[3731].start 15837.25221875
transcript.pyannote[3731].end 15840.61034375
transcript.pyannote[3732].speaker SPEAKER_26
transcript.pyannote[3732].start 15837.26909375
transcript.pyannote[3732].end 15840.47534375
transcript.pyannote[3733].speaker SPEAKER_04
transcript.pyannote[3733].start 15841.11659375
transcript.pyannote[3733].end 15842.97284375
transcript.pyannote[3734].speaker SPEAKER_26
transcript.pyannote[3734].start 15841.84221875
transcript.pyannote[3734].end 15845.50409375
transcript.pyannote[3735].speaker SPEAKER_05
transcript.pyannote[3735].start 15845.04846875
transcript.pyannote[3735].end 15845.47034375
transcript.pyannote[3736].speaker SPEAKER_26
transcript.pyannote[3736].start 15845.72346875
transcript.pyannote[3736].end 15847.73159375
transcript.pyannote[3737].speaker SPEAKER_26
transcript.pyannote[3737].start 15848.38971875
transcript.pyannote[3737].end 15849.35159375
transcript.pyannote[3738].speaker SPEAKER_26
transcript.pyannote[3738].start 15849.84096875
transcript.pyannote[3738].end 15850.66784375
transcript.pyannote[3739].speaker SPEAKER_26
transcript.pyannote[3739].start 15850.87034375
transcript.pyannote[3739].end 15852.54096875
transcript.pyannote[3740].speaker SPEAKER_26
transcript.pyannote[3740].start 15852.84471875
transcript.pyannote[3740].end 15853.95846875
transcript.pyannote[3741].speaker SPEAKER_26
transcript.pyannote[3741].start 15855.76409375
transcript.pyannote[3741].end 15857.13096875
transcript.pyannote[3742].speaker SPEAKER_26
transcript.pyannote[3742].start 15858.02534375
transcript.pyannote[3742].end 15859.22346875
transcript.pyannote[3743].speaker SPEAKER_26
transcript.pyannote[3743].start 15859.79721875
transcript.pyannote[3743].end 15861.61971875
transcript.pyannote[3744].speaker SPEAKER_26
transcript.pyannote[3744].start 15862.09221875
transcript.pyannote[3744].end 15862.59846875
transcript.pyannote[3745].speaker SPEAKER_26
transcript.pyannote[3745].start 15862.85159375
transcript.pyannote[3745].end 15863.93159375
transcript.pyannote[3746].speaker SPEAKER_26
transcript.pyannote[3746].start 15863.96534375
transcript.pyannote[3746].end 15865.29846875
transcript.pyannote[3747].speaker SPEAKER_26
transcript.pyannote[3747].start 15866.10846875
transcript.pyannote[3747].end 15870.76596875
transcript.pyannote[3748].speaker SPEAKER_04
transcript.pyannote[3748].start 15870.76596875
transcript.pyannote[3748].end 15876.58784375
transcript.pyannote[3749].speaker SPEAKER_04
transcript.pyannote[3749].start 15876.99284375
transcript.pyannote[3749].end 15882.15659375
transcript.pyannote[3750].speaker SPEAKER_26
transcript.pyannote[3750].start 15881.38034375
transcript.pyannote[3750].end 15884.51909375
transcript.pyannote[3751].speaker SPEAKER_04
transcript.pyannote[3751].start 15883.13534375
transcript.pyannote[3751].end 15883.57409375
transcript.pyannote[3752].speaker SPEAKER_04
transcript.pyannote[3752].start 15884.51909375
transcript.pyannote[3752].end 15887.40471875
transcript.pyannote[3753].speaker SPEAKER_26
transcript.pyannote[3753].start 15884.70471875
transcript.pyannote[3753].end 15885.39659375
transcript.pyannote[3754].speaker SPEAKER_26
transcript.pyannote[3754].start 15886.81409375
transcript.pyannote[3754].end 15889.15971875
transcript.pyannote[3755].speaker SPEAKER_26
transcript.pyannote[3755].start 15889.54784375
transcript.pyannote[3755].end 15892.28159375
transcript.pyannote[3756].speaker SPEAKER_04
transcript.pyannote[3756].start 15892.90596875
transcript.pyannote[3756].end 15893.47971875
transcript.pyannote[3757].speaker SPEAKER_26
transcript.pyannote[3757].start 15893.00721875
transcript.pyannote[3757].end 15893.64846875
transcript.pyannote[3758].speaker SPEAKER_04
transcript.pyannote[3758].start 15893.54721875
transcript.pyannote[3758].end 15893.59784375
transcript.pyannote[3759].speaker SPEAKER_04
transcript.pyannote[3759].start 15893.64846875
transcript.pyannote[3759].end 15899.63909375
transcript.pyannote[3760].speaker SPEAKER_26
transcript.pyannote[3760].start 15899.63909375
transcript.pyannote[3760].end 15899.65596875
transcript.pyannote[3761].speaker SPEAKER_26
transcript.pyannote[3761].start 15899.84159375
transcript.pyannote[3761].end 15901.74846875
transcript.pyannote[3762].speaker SPEAKER_26
transcript.pyannote[3762].start 15901.95096875
transcript.pyannote[3762].end 15903.89159375
transcript.pyannote[3763].speaker SPEAKER_26
transcript.pyannote[3763].start 15904.24596875
transcript.pyannote[3763].end 15905.52846875
transcript.pyannote[3764].speaker SPEAKER_26
transcript.pyannote[3764].start 15906.49034375
transcript.pyannote[3764].end 15908.93721875
transcript.pyannote[3765].speaker SPEAKER_26
transcript.pyannote[3765].start 15909.94971875
transcript.pyannote[3765].end 15912.76784375
transcript.pyannote[3766].speaker SPEAKER_26
transcript.pyannote[3766].start 15913.99971875
transcript.pyannote[3766].end 15916.42971875
transcript.pyannote[3767].speaker SPEAKER_26
transcript.pyannote[3767].start 15917.17221875
transcript.pyannote[3767].end 15918.65721875
transcript.pyannote[3768].speaker SPEAKER_26
transcript.pyannote[3768].start 15920.49659375
transcript.pyannote[3768].end 15921.45846875
transcript.pyannote[3769].speaker SPEAKER_26
transcript.pyannote[3769].start 15921.79596875
transcript.pyannote[3769].end 15923.12909375
transcript.pyannote[3770].speaker SPEAKER_26
transcript.pyannote[3770].start 15923.83784375
transcript.pyannote[3770].end 15924.68159375
transcript.pyannote[3771].speaker SPEAKER_26
transcript.pyannote[3771].start 15925.35659375
transcript.pyannote[3771].end 15926.43659375
transcript.pyannote[3772].speaker SPEAKER_26
transcript.pyannote[3772].start 15926.53784375
transcript.pyannote[3772].end 15929.00159375
transcript.pyannote[3773].speaker SPEAKER_26
transcript.pyannote[3773].start 15929.55846875
transcript.pyannote[3773].end 15931.85346875
transcript.pyannote[3774].speaker SPEAKER_26
transcript.pyannote[3774].start 15932.19096875
transcript.pyannote[3774].end 15934.75596875
transcript.pyannote[3775].speaker SPEAKER_26
transcript.pyannote[3775].start 15936.00471875
transcript.pyannote[3775].end 15938.68784375
transcript.pyannote[3776].speaker SPEAKER_26
transcript.pyannote[3776].start 15939.26159375
transcript.pyannote[3776].end 15948.71159375
transcript.pyannote[3777].speaker SPEAKER_26
transcript.pyannote[3777].start 15948.84659375
transcript.pyannote[3777].end 15949.03221875
transcript.pyannote[3778].speaker SPEAKER_04
transcript.pyannote[3778].start 15949.03221875
transcript.pyannote[3778].end 15953.52096875
transcript.pyannote[3779].speaker SPEAKER_26
transcript.pyannote[3779].start 15951.42846875
transcript.pyannote[3779].end 15953.36909375
transcript.pyannote[3780].speaker SPEAKER_04
transcript.pyannote[3780].start 15953.72346875
transcript.pyannote[3780].end 15959.96721875
transcript.pyannote[3781].speaker SPEAKER_26
transcript.pyannote[3781].start 15954.07784375
transcript.pyannote[3781].end 15954.12846875
transcript.pyannote[3782].speaker SPEAKER_26
transcript.pyannote[3782].start 15954.17909375
transcript.pyannote[3782].end 15955.96784375
transcript.pyannote[3783].speaker SPEAKER_26
transcript.pyannote[3783].start 15956.27159375
transcript.pyannote[3783].end 15956.59221875
transcript.pyannote[3784].speaker SPEAKER_26
transcript.pyannote[3784].start 15958.66784375
transcript.pyannote[3784].end 15964.28721875
transcript.pyannote[3785].speaker SPEAKER_04
transcript.pyannote[3785].start 15964.60784375
transcript.pyannote[3785].end 15964.97909375
transcript.pyannote[3786].speaker SPEAKER_26
transcript.pyannote[3786].start 15964.91159375
transcript.pyannote[3786].end 15967.10534375
transcript.pyannote[3787].speaker SPEAKER_04
transcript.pyannote[3787].start 15967.10534375
transcript.pyannote[3787].end 15967.13909375
transcript.pyannote[3788].speaker SPEAKER_04
transcript.pyannote[3788].start 15967.30784375
transcript.pyannote[3788].end 15971.03721875
transcript.pyannote[3789].speaker SPEAKER_26
transcript.pyannote[3789].start 15968.72534375
transcript.pyannote[3789].end 15969.45096875
transcript.pyannote[3790].speaker SPEAKER_26
transcript.pyannote[3790].start 15970.27784375
transcript.pyannote[3790].end 15970.73346875
transcript.pyannote[3791].speaker SPEAKER_04
transcript.pyannote[3791].start 15971.27346875
transcript.pyannote[3791].end 15980.75721875
transcript.pyannote[3792].speaker SPEAKER_26
transcript.pyannote[3792].start 15980.41971875
transcript.pyannote[3792].end 15981.36471875
transcript.pyannote[3793].speaker SPEAKER_04
transcript.pyannote[3793].start 15981.31409375
transcript.pyannote[3793].end 15982.14096875
transcript.pyannote[3794].speaker SPEAKER_26
transcript.pyannote[3794].start 15981.51659375
transcript.pyannote[3794].end 15983.15346875
transcript.pyannote[3795].speaker SPEAKER_04
transcript.pyannote[3795].start 15983.42346875
transcript.pyannote[3795].end 15985.51596875
transcript.pyannote[3796].speaker SPEAKER_04
transcript.pyannote[3796].start 15985.97159375
transcript.pyannote[3796].end 15991.86096875
transcript.pyannote[3797].speaker SPEAKER_02
transcript.pyannote[3797].start 15991.28721875
transcript.pyannote[3797].end 15991.30409375
transcript.pyannote[3798].speaker SPEAKER_04
transcript.pyannote[3798].start 15991.94534375
transcript.pyannote[3798].end 15994.05471875
transcript.pyannote[3799].speaker SPEAKER_04
transcript.pyannote[3799].start 15994.45971875
transcript.pyannote[3799].end 15995.21909375
transcript.pyannote[3800].speaker SPEAKER_04
transcript.pyannote[3800].start 15995.25284375
transcript.pyannote[3800].end 15998.96534375
transcript.pyannote[3801].speaker SPEAKER_26
transcript.pyannote[3801].start 15998.20596875
transcript.pyannote[3801].end 15998.42534375
transcript.pyannote[3802].speaker SPEAKER_26
transcript.pyannote[3802].start 15998.96534375
transcript.pyannote[3802].end 15999.55596875
transcript.pyannote[3803].speaker SPEAKER_26
transcript.pyannote[3803].start 15999.75846875
transcript.pyannote[3803].end 15999.77534375
transcript.pyannote[3804].speaker SPEAKER_04
transcript.pyannote[3804].start 15999.77534375
transcript.pyannote[3804].end 15999.79221875
transcript.pyannote[3805].speaker SPEAKER_26
transcript.pyannote[3805].start 15999.79221875
transcript.pyannote[3805].end 16006.50846875
transcript.pyannote[3806].speaker SPEAKER_26
transcript.pyannote[3806].start 16006.99784375
transcript.pyannote[3806].end 16009.24221875
transcript.pyannote[3807].speaker SPEAKER_04
transcript.pyannote[3807].start 16009.47846875
transcript.pyannote[3807].end 16014.30471875
transcript.pyannote[3808].speaker SPEAKER_04
transcript.pyannote[3808].start 16014.52409375
transcript.pyannote[3808].end 16017.74721875
transcript.pyannote[3809].speaker SPEAKER_26
transcript.pyannote[3809].start 16016.97096875
transcript.pyannote[3809].end 16018.67534375
transcript.pyannote[3810].speaker SPEAKER_04
transcript.pyannote[3810].start 16019.08034375
transcript.pyannote[3810].end 16019.53596875
transcript.pyannote[3811].speaker SPEAKER_26
transcript.pyannote[3811].start 16019.16471875
transcript.pyannote[3811].end 16019.72159375
transcript.pyannote[3812].speaker SPEAKER_04
transcript.pyannote[3812].start 16019.72159375
transcript.pyannote[3812].end 16019.95784375
transcript.pyannote[3813].speaker SPEAKER_04
transcript.pyannote[3813].start 16020.16034375
transcript.pyannote[3813].end 16029.79596875
transcript.pyannote[3814].speaker SPEAKER_26
transcript.pyannote[3814].start 16027.31534375
transcript.pyannote[3814].end 16041.00096875
transcript.pyannote[3815].speaker SPEAKER_04
transcript.pyannote[3815].start 16033.49159375
transcript.pyannote[3815].end 16034.14971875
transcript.pyannote[3816].speaker SPEAKER_00
transcript.pyannote[3816].start 16038.60471875
transcript.pyannote[3816].end 16039.12784375
transcript.pyannote[3817].speaker SPEAKER_26
transcript.pyannote[3817].start 16041.47346875
transcript.pyannote[3817].end 16047.95346875
transcript.pyannote[3818].speaker SPEAKER_26
transcript.pyannote[3818].start 16048.83096875
transcript.pyannote[3818].end 16054.97346875
transcript.pyannote[3819].speaker SPEAKER_08
transcript.pyannote[3819].start 16049.11784375
transcript.pyannote[3819].end 16050.80534375
transcript.pyannote[3820].speaker SPEAKER_08
transcript.pyannote[3820].start 16052.32409375
transcript.pyannote[3820].end 16052.83034375
transcript.pyannote[3821].speaker SPEAKER_08
transcript.pyannote[3821].start 16054.97346875
transcript.pyannote[3821].end 16055.00721875
transcript.pyannote[3822].speaker SPEAKER_26
transcript.pyannote[3822].start 16055.00721875
transcript.pyannote[3822].end 16055.02409375
transcript.pyannote[3823].speaker SPEAKER_08
transcript.pyannote[3823].start 16055.02409375
transcript.pyannote[3823].end 16055.04096875
transcript.pyannote[3824].speaker SPEAKER_26
transcript.pyannote[3824].start 16055.04096875
transcript.pyannote[3824].end 16057.04909375
transcript.pyannote[3825].speaker SPEAKER_08
transcript.pyannote[3825].start 16055.07471875
transcript.pyannote[3825].end 16055.73284375
transcript.pyannote[3826].speaker SPEAKER_26
transcript.pyannote[3826].start 16057.48784375
transcript.pyannote[3826].end 16058.46659375
transcript.pyannote[3827].speaker SPEAKER_26
transcript.pyannote[3827].start 16058.83784375
transcript.pyannote[3827].end 16061.55471875
transcript.pyannote[3828].speaker SPEAKER_26
transcript.pyannote[3828].start 16062.19596875
transcript.pyannote[3828].end 16063.83284375
transcript.pyannote[3829].speaker SPEAKER_26
transcript.pyannote[3829].start 16064.23784375
transcript.pyannote[3829].end 16065.70596875
transcript.pyannote[3830].speaker SPEAKER_26
transcript.pyannote[3830].start 16066.09409375
transcript.pyannote[3830].end 16070.12721875
transcript.pyannote[3831].speaker SPEAKER_26
transcript.pyannote[3831].start 16070.53221875
transcript.pyannote[3831].end 16072.16909375
transcript.pyannote[3832].speaker SPEAKER_26
transcript.pyannote[3832].start 16072.54034375
transcript.pyannote[3832].end 16075.20659375
transcript.pyannote[3833].speaker SPEAKER_26
transcript.pyannote[3833].start 16075.30784375
transcript.pyannote[3833].end 16076.69159375
transcript.pyannote[3834].speaker SPEAKER_26
transcript.pyannote[3834].start 16077.02909375
transcript.pyannote[3834].end 16079.03721875
transcript.pyannote[3835].speaker SPEAKER_04
transcript.pyannote[3835].start 16079.03721875
transcript.pyannote[3835].end 16079.05409375
transcript.pyannote[3836].speaker SPEAKER_26
transcript.pyannote[3836].start 16079.05409375
transcript.pyannote[3836].end 16079.17221875
transcript.pyannote[3837].speaker SPEAKER_26
transcript.pyannote[3837].start 16079.37471875
transcript.pyannote[3837].end 16079.44221875
transcript.pyannote[3838].speaker SPEAKER_04
transcript.pyannote[3838].start 16079.44221875
transcript.pyannote[3838].end 16079.49284375
transcript.pyannote[3839].speaker SPEAKER_26
transcript.pyannote[3839].start 16079.49284375
transcript.pyannote[3839].end 16079.64471875
transcript.pyannote[3840].speaker SPEAKER_04
transcript.pyannote[3840].start 16079.64471875
transcript.pyannote[3840].end 16079.81346875
transcript.pyannote[3841].speaker SPEAKER_26
transcript.pyannote[3841].start 16079.81346875
transcript.pyannote[3841].end 16079.84721875
transcript.pyannote[3842].speaker SPEAKER_04
transcript.pyannote[3842].start 16080.06659375
transcript.pyannote[3842].end 16092.77346875
transcript.pyannote[3843].speaker SPEAKER_26
transcript.pyannote[3843].start 16092.65534375
transcript.pyannote[3843].end 16095.22034375
transcript.pyannote[3844].speaker SPEAKER_04
transcript.pyannote[3844].start 16092.94221875
transcript.pyannote[3844].end 16093.24596875
transcript.pyannote[3845].speaker SPEAKER_26
transcript.pyannote[3845].start 16096.28346875
transcript.pyannote[3845].end 16100.65409375
transcript.pyannote[3846].speaker SPEAKER_26
transcript.pyannote[3846].start 16100.92409375
transcript.pyannote[3846].end 16102.24034375
transcript.pyannote[3847].speaker SPEAKER_26
transcript.pyannote[3847].start 16103.10096875
transcript.pyannote[3847].end 16109.93534375
transcript.pyannote[3848].speaker SPEAKER_26
transcript.pyannote[3848].start 16110.15471875
transcript.pyannote[3848].end 16113.66471875
transcript.pyannote[3849].speaker SPEAKER_04
transcript.pyannote[3849].start 16111.09971875
transcript.pyannote[3849].end 16111.79159375
transcript.pyannote[3850].speaker SPEAKER_26
transcript.pyannote[3850].start 16113.96846875
transcript.pyannote[3850].end 16124.66721875
transcript.pyannote[3851].speaker SPEAKER_26
transcript.pyannote[3851].start 16125.05534375
transcript.pyannote[3851].end 16135.68659375
transcript.pyannote[3852].speaker SPEAKER_26
transcript.pyannote[3852].start 16136.37846875
transcript.pyannote[3852].end 16136.98596875
transcript.pyannote[3853].speaker SPEAKER_26
transcript.pyannote[3853].start 16137.32346875
transcript.pyannote[3853].end 16140.27659375
transcript.pyannote[3854].speaker SPEAKER_26
transcript.pyannote[3854].start 16140.52971875
transcript.pyannote[3854].end 16143.02721875
transcript.pyannote[3855].speaker SPEAKER_04
transcript.pyannote[3855].start 16143.02721875
transcript.pyannote[3855].end 16143.04409375
transcript.pyannote[3856].speaker SPEAKER_26
transcript.pyannote[3856].start 16143.04409375
transcript.pyannote[3856].end 16147.87034375
transcript.pyannote[3857].speaker SPEAKER_04
transcript.pyannote[3857].start 16143.88784375
transcript.pyannote[3857].end 16145.17034375
transcript.pyannote[3858].speaker SPEAKER_04
transcript.pyannote[3858].start 16146.03096875
transcript.pyannote[3858].end 16146.60471875
transcript.pyannote[3859].speaker SPEAKER_04
transcript.pyannote[3859].start 16148.12346875
transcript.pyannote[3859].end 16152.96659375
transcript.pyannote[3860].speaker SPEAKER_26
transcript.pyannote[3860].start 16148.37659375
transcript.pyannote[3860].end 16148.42721875
transcript.pyannote[3861].speaker SPEAKER_26
transcript.pyannote[3861].start 16152.44346875
transcript.pyannote[3861].end 16170.09471875
transcript.pyannote[3862].speaker SPEAKER_04
transcript.pyannote[3862].start 16166.97284375
transcript.pyannote[3862].end 16185.13034375
transcript.pyannote[3863].speaker SPEAKER_26
transcript.pyannote[3863].start 16183.61159375
transcript.pyannote[3863].end 16192.15034375
transcript.pyannote[3864].speaker SPEAKER_04
transcript.pyannote[3864].start 16187.45909375
transcript.pyannote[3864].end 16189.02846875
transcript.pyannote[3865].speaker SPEAKER_08
transcript.pyannote[3865].start 16189.02846875
transcript.pyannote[3865].end 16189.43346875
transcript.pyannote[3866].speaker SPEAKER_08
transcript.pyannote[3866].start 16192.21784375
transcript.pyannote[3866].end 16192.63971875
transcript.pyannote[3867].speaker SPEAKER_26
transcript.pyannote[3867].start 16192.70721875
transcript.pyannote[3867].end 16196.75721875
transcript.pyannote[3868].speaker SPEAKER_08
transcript.pyannote[3868].start 16194.00659375
transcript.pyannote[3868].end 16198.46159375
transcript.pyannote[3869].speaker SPEAKER_26
transcript.pyannote[3869].start 16196.99346875
transcript.pyannote[3869].end 16200.14909375
transcript.pyannote[3870].speaker SPEAKER_40
transcript.pyannote[3870].start 16198.46159375
transcript.pyannote[3870].end 16198.49534375
transcript.pyannote[3871].speaker SPEAKER_08
transcript.pyannote[3871].start 16198.49534375
transcript.pyannote[3871].end 16198.54596875
transcript.pyannote[3872].speaker SPEAKER_08
transcript.pyannote[3872].start 16199.96346875
transcript.pyannote[3872].end 16199.98034375
transcript.pyannote[3873].speaker SPEAKER_26
transcript.pyannote[3873].start 16204.35096875
transcript.pyannote[3873].end 16204.36784375
transcript.pyannote[3874].speaker SPEAKER_29
transcript.pyannote[3874].start 16204.36784375
transcript.pyannote[3874].end 16206.07221875
transcript.pyannote[3875].speaker SPEAKER_17
transcript.pyannote[3875].start 16217.91846875
transcript.pyannote[3875].end 16220.02784375
transcript.pyannote[3876].speaker SPEAKER_28
transcript.pyannote[3876].start 16220.28096875
transcript.pyannote[3876].end 16220.92221875
transcript.pyannote[3877].speaker SPEAKER_17
transcript.pyannote[3877].start 16228.36409375
transcript.pyannote[3877].end 16228.75221875
transcript.pyannote[3878].speaker SPEAKER_17
transcript.pyannote[3878].start 16229.79846875
transcript.pyannote[3878].end 16230.69284375
transcript.pyannote[3879].speaker SPEAKER_17
transcript.pyannote[3879].start 16231.14846875
transcript.pyannote[3879].end 16235.09721875
transcript.pyannote[3880].speaker SPEAKER_17
transcript.pyannote[3880].start 16235.65409375
transcript.pyannote[3880].end 16239.43409375
transcript.pyannote[3881].speaker SPEAKER_17
transcript.pyannote[3881].start 16239.75471875
transcript.pyannote[3881].end 16253.03534375
transcript.pyannote[3882].speaker SPEAKER_17
transcript.pyannote[3882].start 16253.32221875
transcript.pyannote[3882].end 16256.41034375
transcript.pyannote[3883].speaker SPEAKER_17
transcript.pyannote[3883].start 16256.68034375
transcript.pyannote[3883].end 16257.47346875
transcript.pyannote[3884].speaker SPEAKER_04
transcript.pyannote[3884].start 16256.69721875
transcript.pyannote[3884].end 16264.35846875
transcript.pyannote[3885].speaker SPEAKER_17
transcript.pyannote[3885].start 16262.72159375
transcript.pyannote[3885].end 16262.77221875
transcript.pyannote[3886].speaker SPEAKER_17
transcript.pyannote[3886].start 16264.35846875
transcript.pyannote[3886].end 16266.51846875
transcript.pyannote[3887].speaker SPEAKER_17
transcript.pyannote[3887].start 16266.63659375
transcript.pyannote[3887].end 16273.65659375
transcript.pyannote[3888].speaker SPEAKER_04
transcript.pyannote[3888].start 16270.24784375
transcript.pyannote[3888].end 16270.65284375
transcript.pyannote[3889].speaker SPEAKER_40
transcript.pyannote[3889].start 16270.65284375
transcript.pyannote[3889].end 16270.68659375
transcript.pyannote[3890].speaker SPEAKER_17
transcript.pyannote[3890].start 16273.84221875
transcript.pyannote[3890].end 16283.32596875
transcript.pyannote[3891].speaker SPEAKER_04
transcript.pyannote[3891].start 16277.43659375
transcript.pyannote[3891].end 16277.84159375
transcript.pyannote[3892].speaker SPEAKER_04
transcript.pyannote[3892].start 16281.26721875
transcript.pyannote[3892].end 16281.33471875
transcript.pyannote[3893].speaker SPEAKER_17
transcript.pyannote[3893].start 16283.71409375
transcript.pyannote[3893].end 16285.89096875
transcript.pyannote[3894].speaker SPEAKER_17
transcript.pyannote[3894].start 16286.39721875
transcript.pyannote[3894].end 16287.20721875
transcript.pyannote[3895].speaker SPEAKER_17
transcript.pyannote[3895].start 16287.46034375
transcript.pyannote[3895].end 16289.46846875
transcript.pyannote[3896].speaker SPEAKER_17
transcript.pyannote[3896].start 16289.94096875
transcript.pyannote[3896].end 16292.82659375
transcript.pyannote[3897].speaker SPEAKER_17
transcript.pyannote[3897].start 16293.29909375
transcript.pyannote[3897].end 16312.55346875
transcript.pyannote[3898].speaker SPEAKER_04
transcript.pyannote[3898].start 16294.17659375
transcript.pyannote[3898].end 16295.27346875
transcript.pyannote[3899].speaker SPEAKER_04
transcript.pyannote[3899].start 16296.03284375
transcript.pyannote[3899].end 16296.85971875
transcript.pyannote[3900].speaker SPEAKER_04
transcript.pyannote[3900].start 16299.18846875
transcript.pyannote[3900].end 16299.67784375
transcript.pyannote[3901].speaker SPEAKER_08
transcript.pyannote[3901].start 16305.58409375
transcript.pyannote[3901].end 16305.80346875
transcript.pyannote[3902].speaker SPEAKER_08
transcript.pyannote[3902].start 16308.38534375
transcript.pyannote[3902].end 16308.48659375
transcript.pyannote[3903].speaker SPEAKER_08
transcript.pyannote[3903].start 16312.55346875
transcript.pyannote[3903].end 16312.85721875
transcript.pyannote[3904].speaker SPEAKER_17
transcript.pyannote[3904].start 16312.85721875
transcript.pyannote[3904].end 16314.84846875
transcript.pyannote[3905].speaker SPEAKER_17
transcript.pyannote[3905].start 16315.10159375
transcript.pyannote[3905].end 16322.15534375
transcript.pyannote[3906].speaker SPEAKER_08
transcript.pyannote[3906].start 16318.66221875
transcript.pyannote[3906].end 16318.98284375
transcript.pyannote[3907].speaker SPEAKER_08
transcript.pyannote[3907].start 16320.29909375
transcript.pyannote[3907].end 16320.73784375
transcript.pyannote[3908].speaker SPEAKER_08
transcript.pyannote[3908].start 16322.15534375
transcript.pyannote[3908].end 16322.52659375
transcript.pyannote[3909].speaker SPEAKER_17
transcript.pyannote[3909].start 16322.52659375
transcript.pyannote[3909].end 16325.34471875
transcript.pyannote[3910].speaker SPEAKER_17
transcript.pyannote[3910].start 16325.76659375
transcript.pyannote[3910].end 16326.47534375
transcript.pyannote[3911].speaker SPEAKER_17
transcript.pyannote[3911].start 16326.88034375
transcript.pyannote[3911].end 16328.01096875
transcript.pyannote[3912].speaker SPEAKER_17
transcript.pyannote[3912].start 16328.71971875
transcript.pyannote[3912].end 16330.59284375
transcript.pyannote[3913].speaker SPEAKER_17
transcript.pyannote[3913].start 16331.11596875
transcript.pyannote[3913].end 16332.17909375
transcript.pyannote[3914].speaker SPEAKER_34
transcript.pyannote[3914].start 16331.23409375
transcript.pyannote[3914].end 16331.53784375
transcript.pyannote[3915].speaker SPEAKER_17
transcript.pyannote[3915].start 16332.34784375
transcript.pyannote[3915].end 16338.40596875
transcript.pyannote[3916].speaker SPEAKER_17
transcript.pyannote[3916].start 16338.94596875
transcript.pyannote[3916].end 16343.83971875
transcript.pyannote[3917].speaker SPEAKER_17
transcript.pyannote[3917].start 16344.16034375
transcript.pyannote[3917].end 16345.37534375
transcript.pyannote[3918].speaker SPEAKER_17
transcript.pyannote[3918].start 16345.51034375
transcript.pyannote[3918].end 16349.52659375
transcript.pyannote[3919].speaker SPEAKER_17
transcript.pyannote[3919].start 16350.60659375
transcript.pyannote[3919].end 16353.52596875
transcript.pyannote[3920].speaker SPEAKER_17
transcript.pyannote[3920].start 16353.88034375
transcript.pyannote[3920].end 16360.59659375
transcript.pyannote[3921].speaker SPEAKER_40
transcript.pyannote[3921].start 16360.59659375
transcript.pyannote[3921].end 16360.93409375
transcript.pyannote[3922].speaker SPEAKER_17
transcript.pyannote[3922].start 16360.68096875
transcript.pyannote[3922].end 16390.02659375
transcript.pyannote[3923].speaker SPEAKER_40
transcript.pyannote[3923].start 16364.76471875
transcript.pyannote[3923].end 16364.91659375
transcript.pyannote[3924].speaker SPEAKER_40
transcript.pyannote[3924].start 16366.08096875
transcript.pyannote[3924].end 16366.11471875
transcript.pyannote[3925].speaker SPEAKER_41
transcript.pyannote[3925].start 16366.11471875
transcript.pyannote[3925].end 16366.23284375
transcript.pyannote[3926].speaker SPEAKER_04
transcript.pyannote[3926].start 16387.00596875
transcript.pyannote[3926].end 16387.42784375
transcript.pyannote[3927].speaker SPEAKER_04
transcript.pyannote[3927].start 16390.02659375
transcript.pyannote[3927].end 16390.87034375
transcript.pyannote[3928].speaker SPEAKER_17
transcript.pyannote[3928].start 16390.87034375
transcript.pyannote[3928].end 16390.88721875
transcript.pyannote[3929].speaker SPEAKER_04
transcript.pyannote[3929].start 16390.88721875
transcript.pyannote[3929].end 16390.97159375
transcript.pyannote[3930].speaker SPEAKER_17
transcript.pyannote[3930].start 16391.24159375
transcript.pyannote[3930].end 16391.29221875
transcript.pyannote[3931].speaker SPEAKER_04
transcript.pyannote[3931].start 16391.29221875
transcript.pyannote[3931].end 16399.78034375
transcript.pyannote[3932].speaker SPEAKER_04
transcript.pyannote[3932].start 16399.86471875
transcript.pyannote[3932].end 16418.96721875
transcript.pyannote[3933].speaker SPEAKER_17
transcript.pyannote[3933].start 16418.96721875
transcript.pyannote[3933].end 16432.97346875
transcript.pyannote[3934].speaker SPEAKER_04
transcript.pyannote[3934].start 16419.23721875
transcript.pyannote[3934].end 16420.50284375
transcript.pyannote[3935].speaker SPEAKER_00
transcript.pyannote[3935].start 16424.65409375
transcript.pyannote[3935].end 16424.89034375
transcript.pyannote[3936].speaker SPEAKER_07
transcript.pyannote[3936].start 16431.33659375
transcript.pyannote[3936].end 16431.48846875
transcript.pyannote[3937].speaker SPEAKER_07
transcript.pyannote[3937].start 16432.97346875
transcript.pyannote[3937].end 16433.05784375
transcript.pyannote[3938].speaker SPEAKER_17
transcript.pyannote[3938].start 16433.05784375
transcript.pyannote[3938].end 16442.50784375
transcript.pyannote[3939].speaker SPEAKER_07
transcript.pyannote[3939].start 16438.62659375
transcript.pyannote[3939].end 16439.08221875
transcript.pyannote[3940].speaker SPEAKER_17
transcript.pyannote[3940].start 16442.64284375
transcript.pyannote[3940].end 16448.02596875
transcript.pyannote[3941].speaker SPEAKER_17
transcript.pyannote[3941].start 16448.41409375
transcript.pyannote[3941].end 16450.08471875
transcript.pyannote[3942].speaker SPEAKER_17
transcript.pyannote[3942].start 16451.06346875
transcript.pyannote[3942].end 16453.05471875
transcript.pyannote[3943].speaker SPEAKER_17
transcript.pyannote[3943].start 16453.08846875
transcript.pyannote[3943].end 16462.69034375
transcript.pyannote[3944].speaker SPEAKER_04
transcript.pyannote[3944].start 16462.52159375
transcript.pyannote[3944].end 16479.16034375
transcript.pyannote[3945].speaker SPEAKER_17
transcript.pyannote[3945].start 16464.90096875
transcript.pyannote[3945].end 16465.40721875
transcript.pyannote[3946].speaker SPEAKER_17
transcript.pyannote[3946].start 16477.86096875
transcript.pyannote[3946].end 16484.72909375
transcript.pyannote[3947].speaker SPEAKER_04
transcript.pyannote[3947].start 16482.01221875
transcript.pyannote[3947].end 16482.29909375
transcript.pyannote[3948].speaker SPEAKER_04
transcript.pyannote[3948].start 16482.40034375
transcript.pyannote[3948].end 16485.37034375
transcript.pyannote[3949].speaker SPEAKER_17
transcript.pyannote[3949].start 16485.30284375
transcript.pyannote[3949].end 16496.35596875
transcript.pyannote[3950].speaker SPEAKER_04
transcript.pyannote[3950].start 16486.29846875
transcript.pyannote[3950].end 16486.51784375
transcript.pyannote[3951].speaker SPEAKER_04
transcript.pyannote[3951].start 16488.54284375
transcript.pyannote[3951].end 16488.91409375
transcript.pyannote[3952].speaker SPEAKER_04
transcript.pyannote[3952].start 16491.95159375
transcript.pyannote[3952].end 16492.03596875
transcript.pyannote[3953].speaker SPEAKER_04
transcript.pyannote[3953].start 16496.54159375
transcript.pyannote[3953].end 16513.60221875
transcript.pyannote[3954].speaker SPEAKER_17
transcript.pyannote[3954].start 16501.35096875
transcript.pyannote[3954].end 16501.43534375
transcript.pyannote[3955].speaker SPEAKER_07
transcript.pyannote[3955].start 16501.43534375
transcript.pyannote[3955].end 16501.73909375
transcript.pyannote[3956].speaker SPEAKER_17
transcript.pyannote[3956].start 16501.73909375
transcript.pyannote[3956].end 16501.82346875
transcript.pyannote[3957].speaker SPEAKER_17
transcript.pyannote[3957].start 16513.60221875
transcript.pyannote[3957].end 16526.08971875
transcript.pyannote[3958].speaker SPEAKER_04
transcript.pyannote[3958].start 16513.66971875
transcript.pyannote[3958].end 16513.99034375
transcript.pyannote[3959].speaker SPEAKER_04
transcript.pyannote[3959].start 16514.80034375
transcript.pyannote[3959].end 16515.50909375
transcript.pyannote[3960].speaker SPEAKER_04
transcript.pyannote[3960].start 16516.28534375
transcript.pyannote[3960].end 16517.36534375
transcript.pyannote[3961].speaker SPEAKER_07
transcript.pyannote[3961].start 16517.36534375
transcript.pyannote[3961].end 16517.38221875
transcript.pyannote[3962].speaker SPEAKER_07
transcript.pyannote[3962].start 16523.18721875
transcript.pyannote[3962].end 16524.19971875
transcript.pyannote[3963].speaker SPEAKER_17
transcript.pyannote[3963].start 16526.57909375
transcript.pyannote[3963].end 16529.54909375
transcript.pyannote[3964].speaker SPEAKER_07
transcript.pyannote[3964].start 16526.64659375
transcript.pyannote[3964].end 16527.52409375
transcript.pyannote[3965].speaker SPEAKER_21
transcript.pyannote[3965].start 16527.52409375
transcript.pyannote[3965].end 16527.54096875
transcript.pyannote[3966].speaker SPEAKER_17
transcript.pyannote[3966].start 16529.71784375
transcript.pyannote[3966].end 16536.58596875
transcript.pyannote[3967].speaker SPEAKER_07
transcript.pyannote[3967].start 16536.33284375
transcript.pyannote[3967].end 16536.72096875
transcript.pyannote[3968].speaker SPEAKER_17
transcript.pyannote[3968].start 16536.72096875
transcript.pyannote[3968].end 16536.75471875
transcript.pyannote[3969].speaker SPEAKER_17
transcript.pyannote[3969].start 16536.77159375
transcript.pyannote[3969].end 16542.30659375
transcript.pyannote[3970].speaker SPEAKER_17
transcript.pyannote[3970].start 16542.42471875
transcript.pyannote[3970].end 16545.17534375
transcript.pyannote[3971].speaker SPEAKER_17
transcript.pyannote[3971].start 16545.22596875
transcript.pyannote[3971].end 16545.27659375
transcript.pyannote[3972].speaker SPEAKER_08
transcript.pyannote[3972].start 16545.27659375
transcript.pyannote[3972].end 16545.29346875
transcript.pyannote[3973].speaker SPEAKER_04
transcript.pyannote[3973].start 16545.29346875
transcript.pyannote[3973].end 16545.68159375
transcript.pyannote[3974].speaker SPEAKER_17
transcript.pyannote[3974].start 16545.76596875
transcript.pyannote[3974].end 16556.53221875
transcript.pyannote[3975].speaker SPEAKER_17
transcript.pyannote[3975].start 16556.97096875
transcript.pyannote[3975].end 16560.22784375
transcript.pyannote[3976].speaker SPEAKER_17
transcript.pyannote[3976].start 16560.32909375
transcript.pyannote[3976].end 16563.50159375
transcript.pyannote[3977].speaker SPEAKER_41
transcript.pyannote[3977].start 16562.47221875
transcript.pyannote[3977].end 16563.46784375
transcript.pyannote[3978].speaker SPEAKER_17
transcript.pyannote[3978].start 16563.95721875
transcript.pyannote[3978].end 16565.12159375
transcript.pyannote[3979].speaker SPEAKER_17
transcript.pyannote[3979].start 16565.49284375
transcript.pyannote[3979].end 16567.45034375
transcript.pyannote[3980].speaker SPEAKER_17
transcript.pyannote[3980].start 16567.82159375
transcript.pyannote[3980].end 16571.07846875
transcript.pyannote[3981].speaker SPEAKER_41
transcript.pyannote[3981].start 16571.07846875
transcript.pyannote[3981].end 16571.41596875
transcript.pyannote[3982].speaker SPEAKER_17
transcript.pyannote[3982].start 16571.48346875
transcript.pyannote[3982].end 16573.84596875
transcript.pyannote[3983].speaker SPEAKER_17
transcript.pyannote[3983].start 16574.21721875
transcript.pyannote[3983].end 16614.76784375
transcript.pyannote[3984].speaker SPEAKER_04
transcript.pyannote[3984].start 16614.76784375
transcript.pyannote[3984].end 16635.86159375
transcript.pyannote[3985].speaker SPEAKER_04
transcript.pyannote[3985].start 16636.01346875
transcript.pyannote[3985].end 16637.46471875
transcript.pyannote[3986].speaker SPEAKER_04
transcript.pyannote[3986].start 16637.49846875
transcript.pyannote[3986].end 16639.97909375
transcript.pyannote[3987].speaker SPEAKER_04
transcript.pyannote[3987].start 16640.11409375
transcript.pyannote[3987].end 16642.20659375
transcript.pyannote[3988].speaker SPEAKER_04
transcript.pyannote[3988].start 16642.64534375
transcript.pyannote[3988].end 16644.65346875
transcript.pyannote[3989].speaker SPEAKER_04
transcript.pyannote[3989].start 16644.77159375
transcript.pyannote[3989].end 16645.31159375
transcript.pyannote[3990].speaker SPEAKER_04
transcript.pyannote[3990].start 16645.64909375
transcript.pyannote[3990].end 16646.35784375
transcript.pyannote[3991].speaker SPEAKER_04
transcript.pyannote[3991].start 16646.77971875
transcript.pyannote[3991].end 16649.24346875
transcript.pyannote[3992].speaker SPEAKER_04
transcript.pyannote[3992].start 16649.61471875
transcript.pyannote[3992].end 16652.51721875
transcript.pyannote[3993].speaker SPEAKER_17
transcript.pyannote[3993].start 16652.51721875
transcript.pyannote[3993].end 16652.55096875
transcript.pyannote[3994].speaker SPEAKER_04
transcript.pyannote[3994].start 16652.80409375
transcript.pyannote[3994].end 16652.97284375
transcript.pyannote[3995].speaker SPEAKER_17
transcript.pyannote[3995].start 16652.97284375
transcript.pyannote[3995].end 16655.03159375
transcript.pyannote[3996].speaker SPEAKER_39
transcript.pyannote[3996].start 16654.60971875
transcript.pyannote[3996].end 16654.77846875
transcript.pyannote[3997].speaker SPEAKER_17
transcript.pyannote[3997].start 16655.38596875
transcript.pyannote[3997].end 16659.04784375
transcript.pyannote[3998].speaker SPEAKER_17
transcript.pyannote[3998].start 16659.68909375
transcript.pyannote[3998].end 16664.17784375
transcript.pyannote[3999].speaker SPEAKER_17
transcript.pyannote[3999].start 16664.85284375
transcript.pyannote[3999].end 16672.53096875
transcript.pyannote[4000].speaker SPEAKER_17
transcript.pyannote[4000].start 16672.96971875
transcript.pyannote[4000].end 16677.88034375
transcript.pyannote[4001].speaker SPEAKER_17
transcript.pyannote[4001].start 16678.87596875
transcript.pyannote[4001].end 16687.78596875
transcript.pyannote[4002].speaker SPEAKER_17
transcript.pyannote[4002].start 16687.95471875
transcript.pyannote[4002].end 16691.22846875
transcript.pyannote[4003].speaker SPEAKER_04
transcript.pyannote[4003].start 16690.06409375
transcript.pyannote[4003].end 16692.74721875
transcript.pyannote[4004].speaker SPEAKER_04
transcript.pyannote[4004].start 16693.21971875
transcript.pyannote[4004].end 16704.15471875
transcript.pyannote[4005].speaker SPEAKER_04
transcript.pyannote[4005].start 16704.32346875
transcript.pyannote[4005].end 16713.06471875
transcript.pyannote[4006].speaker SPEAKER_04
transcript.pyannote[4006].start 16714.14471875
transcript.pyannote[4006].end 16714.97159375
transcript.pyannote[4007].speaker SPEAKER_17
transcript.pyannote[4007].start 16714.97159375
transcript.pyannote[4007].end 16715.76471875
transcript.pyannote[4008].speaker SPEAKER_17
transcript.pyannote[4008].start 16716.23721875
transcript.pyannote[4008].end 16718.12721875
transcript.pyannote[4009].speaker SPEAKER_07
transcript.pyannote[4009].start 16718.12721875
transcript.pyannote[4009].end 16718.43096875
transcript.pyannote[4010].speaker SPEAKER_17
transcript.pyannote[4010].start 16718.73471875
transcript.pyannote[4010].end 16719.52784375
transcript.pyannote[4011].speaker SPEAKER_17
transcript.pyannote[4011].start 16720.64159375
transcript.pyannote[4011].end 16722.78471875
transcript.pyannote[4012].speaker SPEAKER_17
transcript.pyannote[4012].start 16723.02096875
transcript.pyannote[4012].end 16724.37096875
transcript.pyannote[4013].speaker SPEAKER_04
transcript.pyannote[4013].start 16724.37096875
transcript.pyannote[4013].end 16729.63596875
transcript.pyannote[4014].speaker SPEAKER_17
transcript.pyannote[4014].start 16725.36659375
transcript.pyannote[4014].end 16727.25659375
transcript.pyannote[4015].speaker SPEAKER_04
transcript.pyannote[4015].start 16729.80471875
transcript.pyannote[4015].end 16744.09784375
transcript.pyannote[4016].speaker SPEAKER_17
transcript.pyannote[4016].start 16733.97284375
transcript.pyannote[4016].end 16734.02346875
transcript.pyannote[4017].speaker SPEAKER_41
transcript.pyannote[4017].start 16734.02346875
transcript.pyannote[4017].end 16734.19221875
transcript.pyannote[4018].speaker SPEAKER_04
transcript.pyannote[4018].start 16744.55346875
transcript.pyannote[4018].end 16756.09596875
transcript.pyannote[4019].speaker SPEAKER_17
transcript.pyannote[4019].start 16749.02534375
transcript.pyannote[4019].end 16749.58221875
transcript.pyannote[4020].speaker SPEAKER_17
transcript.pyannote[4020].start 16751.86034375
transcript.pyannote[4020].end 16765.07346875
transcript.pyannote[4021].speaker SPEAKER_04
transcript.pyannote[4021].start 16756.36596875
transcript.pyannote[4021].end 16756.77096875
transcript.pyannote[4022].speaker SPEAKER_04
transcript.pyannote[4022].start 16757.24346875
transcript.pyannote[4022].end 16758.64409375
transcript.pyannote[4023].speaker SPEAKER_05
transcript.pyannote[4023].start 16764.12846875
transcript.pyannote[4023].end 16764.93846875
transcript.pyannote[4024].speaker SPEAKER_17
transcript.pyannote[4024].start 16765.20846875
transcript.pyannote[4024].end 16782.55596875
transcript.pyannote[4025].speaker SPEAKER_05
transcript.pyannote[4025].start 16766.76096875
transcript.pyannote[4025].end 16767.57096875
transcript.pyannote[4026].speaker SPEAKER_00
transcript.pyannote[4026].start 16772.22846875
transcript.pyannote[4026].end 16772.59971875
transcript.pyannote[4027].speaker SPEAKER_17
transcript.pyannote[4027].start 16782.64034375
transcript.pyannote[4027].end 16784.29409375
transcript.pyannote[4028].speaker SPEAKER_17
transcript.pyannote[4028].start 16784.41221875
transcript.pyannote[4028].end 16790.53784375
transcript.pyannote[4029].speaker SPEAKER_17
transcript.pyannote[4029].start 16790.79096875
transcript.pyannote[4029].end 16795.61721875
transcript.pyannote[4030].speaker SPEAKER_04
transcript.pyannote[4030].start 16792.57971875
transcript.pyannote[4030].end 16793.00159375
transcript.pyannote[4031].speaker SPEAKER_04
transcript.pyannote[4031].start 16793.45721875
transcript.pyannote[4031].end 16799.92034375
transcript.pyannote[4032].speaker SPEAKER_04
transcript.pyannote[4032].start 16800.05534375
transcript.pyannote[4032].end 16807.07534375
transcript.pyannote[4033].speaker SPEAKER_04
transcript.pyannote[4033].start 16807.39596875
transcript.pyannote[4033].end 16825.97534375
transcript.pyannote[4034].speaker SPEAKER_41
transcript.pyannote[4034].start 16808.72909375
transcript.pyannote[4034].end 16809.13409375
transcript.pyannote[4035].speaker SPEAKER_41
transcript.pyannote[4035].start 16826.75159375
transcript.pyannote[4035].end 16826.93721875
transcript.pyannote[4036].speaker SPEAKER_04
transcript.pyannote[4036].start 16826.93721875
transcript.pyannote[4036].end 16827.93284375
transcript.pyannote[4037].speaker SPEAKER_41
transcript.pyannote[4037].start 16826.95409375
transcript.pyannote[4037].end 16826.97096875
transcript.pyannote[4038].speaker SPEAKER_17
transcript.pyannote[4038].start 16826.97096875
transcript.pyannote[4038].end 16827.02159375
transcript.pyannote[4039].speaker SPEAKER_41
transcript.pyannote[4039].start 16827.02159375
transcript.pyannote[4039].end 16827.05534375
transcript.pyannote[4040].speaker SPEAKER_04
transcript.pyannote[4040].start 16828.45596875
transcript.pyannote[4040].end 16830.43034375
transcript.pyannote[4041].speaker SPEAKER_04
transcript.pyannote[4041].start 16830.68346875
transcript.pyannote[4041].end 16834.96971875
transcript.pyannote[4042].speaker SPEAKER_17
transcript.pyannote[4042].start 16834.96971875
transcript.pyannote[4042].end 16844.48721875
transcript.pyannote[4043].speaker SPEAKER_04
transcript.pyannote[4043].start 16835.39159375
transcript.pyannote[4043].end 16835.79659375
transcript.pyannote[4044].speaker SPEAKER_04
transcript.pyannote[4044].start 16836.94409375
transcript.pyannote[4044].end 16837.46721875
transcript.pyannote[4045].speaker SPEAKER_04
transcript.pyannote[4045].start 16837.80471875
transcript.pyannote[4045].end 16838.19284375
transcript.pyannote[4046].speaker SPEAKER_04
transcript.pyannote[4046].start 16844.21721875
transcript.pyannote[4046].end 16864.06221875
transcript.pyannote[4047].speaker SPEAKER_17
transcript.pyannote[4047].start 16857.70034375
transcript.pyannote[4047].end 16868.41596875
transcript.pyannote[4048].speaker SPEAKER_04
transcript.pyannote[4048].start 16865.81721875
transcript.pyannote[4048].end 16866.18846875
transcript.pyannote[4049].speaker SPEAKER_04
transcript.pyannote[4049].start 16867.43721875
transcript.pyannote[4049].end 16871.53784375
transcript.pyannote[4050].speaker SPEAKER_17
transcript.pyannote[4050].start 16871.53784375
transcript.pyannote[4050].end 16871.79096875
transcript.pyannote[4051].speaker SPEAKER_04
transcript.pyannote[4051].start 16871.79096875
transcript.pyannote[4051].end 16871.82471875
transcript.pyannote[4052].speaker SPEAKER_17
transcript.pyannote[4052].start 16871.82471875
transcript.pyannote[4052].end 16872.16221875
transcript.pyannote[4053].speaker SPEAKER_04
transcript.pyannote[4053].start 16871.87534375
transcript.pyannote[4053].end 16873.25909375
transcript.pyannote[4054].speaker SPEAKER_17
transcript.pyannote[4054].start 16872.66846875
transcript.pyannote[4054].end 16873.36034375
transcript.pyannote[4055].speaker SPEAKER_04
transcript.pyannote[4055].start 16873.36034375
transcript.pyannote[4055].end 16873.57971875
transcript.pyannote[4056].speaker SPEAKER_29
transcript.pyannote[4056].start 16881.07221875
transcript.pyannote[4056].end 16882.94534375
transcript.pyannote[4057].speaker SPEAKER_21
transcript.pyannote[4057].start 16888.15971875
transcript.pyannote[4057].end 16888.98659375
transcript.pyannote[4058].speaker SPEAKER_20
transcript.pyannote[4058].start 16895.56784375
transcript.pyannote[4058].end 16897.45784375
transcript.pyannote[4059].speaker SPEAKER_20
transcript.pyannote[4059].start 16897.67721875
transcript.pyannote[4059].end 16898.38596875
transcript.pyannote[4060].speaker SPEAKER_20
transcript.pyannote[4060].start 16905.11909375
transcript.pyannote[4060].end 16913.77596875
transcript.pyannote[4061].speaker SPEAKER_20
transcript.pyannote[4061].start 16914.24846875
transcript.pyannote[4061].end 16914.82221875
transcript.pyannote[4062].speaker SPEAKER_20
transcript.pyannote[4062].start 16915.22721875
transcript.pyannote[4062].end 16916.32409375
transcript.pyannote[4063].speaker SPEAKER_20
transcript.pyannote[4063].start 16916.93159375
transcript.pyannote[4063].end 16917.45471875
transcript.pyannote[4064].speaker SPEAKER_04
transcript.pyannote[4064].start 16917.87659375
transcript.pyannote[4064].end 16934.97096875
transcript.pyannote[4065].speaker SPEAKER_20
transcript.pyannote[4065].start 16919.74971875
transcript.pyannote[4065].end 16920.03659375
transcript.pyannote[4066].speaker SPEAKER_20
transcript.pyannote[4066].start 16923.27659375
transcript.pyannote[4066].end 16923.61409375
transcript.pyannote[4067].speaker SPEAKER_40
transcript.pyannote[4067].start 16923.61409375
transcript.pyannote[4067].end 16923.64784375
transcript.pyannote[4068].speaker SPEAKER_05
transcript.pyannote[4068].start 16925.70659375
transcript.pyannote[4068].end 16925.85846875
transcript.pyannote[4069].speaker SPEAKER_40
transcript.pyannote[4069].start 16925.85846875
transcript.pyannote[4069].end 16925.89221875
transcript.pyannote[4070].speaker SPEAKER_05
transcript.pyannote[4070].start 16929.41909375
transcript.pyannote[4070].end 16929.45284375
transcript.pyannote[4071].speaker SPEAKER_20
transcript.pyannote[4071].start 16929.45284375
transcript.pyannote[4071].end 16930.44846875
transcript.pyannote[4072].speaker SPEAKER_20
transcript.pyannote[4072].start 16930.51596875
transcript.pyannote[4072].end 16931.03909375
transcript.pyannote[4073].speaker SPEAKER_20
transcript.pyannote[4073].start 16933.41846875
transcript.pyannote[4073].end 16934.00909375
transcript.pyannote[4074].speaker SPEAKER_20
transcript.pyannote[4074].start 16934.97096875
transcript.pyannote[4074].end 16936.87784375
transcript.pyannote[4075].speaker SPEAKER_20
transcript.pyannote[4075].start 16937.50221875
transcript.pyannote[4075].end 16938.59909375
transcript.pyannote[4076].speaker SPEAKER_20
transcript.pyannote[4076].start 16939.61159375
transcript.pyannote[4076].end 16940.60721875
transcript.pyannote[4077].speaker SPEAKER_20
transcript.pyannote[4077].start 16940.70846875
transcript.pyannote[4077].end 16946.05784375
transcript.pyannote[4078].speaker SPEAKER_20
transcript.pyannote[4078].start 16946.74971875
transcript.pyannote[4078].end 16949.88846875
transcript.pyannote[4079].speaker SPEAKER_20
transcript.pyannote[4079].start 16950.14159375
transcript.pyannote[4079].end 16950.98534375
transcript.pyannote[4080].speaker SPEAKER_20
transcript.pyannote[4080].start 16951.60971875
transcript.pyannote[4080].end 16952.60534375
transcript.pyannote[4081].speaker SPEAKER_20
transcript.pyannote[4081].start 16953.22971875
transcript.pyannote[4081].end 16960.84034375
transcript.pyannote[4082].speaker SPEAKER_20
transcript.pyannote[4082].start 16961.46471875
transcript.pyannote[4082].end 16968.50159375
transcript.pyannote[4083].speaker SPEAKER_20
transcript.pyannote[4083].start 16968.94034375
transcript.pyannote[4083].end 16974.03659375
transcript.pyannote[4084].speaker SPEAKER_20
transcript.pyannote[4084].start 16974.52596875
transcript.pyannote[4084].end 16982.54159375
transcript.pyannote[4085].speaker SPEAKER_04
transcript.pyannote[4085].start 16980.07784375
transcript.pyannote[4085].end 16980.56721875
transcript.pyannote[4086].speaker SPEAKER_04
transcript.pyannote[4086].start 16980.97221875
transcript.pyannote[4086].end 16984.56659375
transcript.pyannote[4087].speaker SPEAKER_04
transcript.pyannote[4087].start 16984.98846875
transcript.pyannote[4087].end 16993.02096875
transcript.pyannote[4088].speaker SPEAKER_20
transcript.pyannote[4088].start 16990.10159375
transcript.pyannote[4088].end 16998.45471875
transcript.pyannote[4089].speaker SPEAKER_07
transcript.pyannote[4089].start 16998.45471875
transcript.pyannote[4089].end 16998.52221875
transcript.pyannote[4090].speaker SPEAKER_20
transcript.pyannote[4090].start 16998.52221875
transcript.pyannote[4090].end 16998.53909375
transcript.pyannote[4091].speaker SPEAKER_20
transcript.pyannote[4091].start 16999.56846875
transcript.pyannote[4091].end 17002.90971875
transcript.pyannote[4092].speaker SPEAKER_07
transcript.pyannote[4092].start 17002.84221875
transcript.pyannote[4092].end 17003.11221875
transcript.pyannote[4093].speaker SPEAKER_20
transcript.pyannote[4093].start 17003.11221875
transcript.pyannote[4093].end 17010.45284375
transcript.pyannote[4094].speaker SPEAKER_07
transcript.pyannote[4094].start 17006.87534375
transcript.pyannote[4094].end 17007.22971875
transcript.pyannote[4095].speaker SPEAKER_07
transcript.pyannote[4095].start 17010.45284375
transcript.pyannote[4095].end 17010.67221875
transcript.pyannote[4096].speaker SPEAKER_20
transcript.pyannote[4096].start 17010.89159375
transcript.pyannote[4096].end 17014.51971875
transcript.pyannote[4097].speaker SPEAKER_07
transcript.pyannote[4097].start 17014.51971875
transcript.pyannote[4097].end 17014.90784375
transcript.pyannote[4098].speaker SPEAKER_20
transcript.pyannote[4098].start 17015.26221875
transcript.pyannote[4098].end 17020.47659375
transcript.pyannote[4099].speaker SPEAKER_20
transcript.pyannote[4099].start 17021.40471875
transcript.pyannote[4099].end 17028.22221875
transcript.pyannote[4100].speaker SPEAKER_20
transcript.pyannote[4100].start 17029.11659375
transcript.pyannote[4100].end 17031.64784375
transcript.pyannote[4101].speaker SPEAKER_20
transcript.pyannote[4101].start 17032.60971875
transcript.pyannote[4101].end 17033.25096875
transcript.pyannote[4102].speaker SPEAKER_20
transcript.pyannote[4102].start 17033.62221875
transcript.pyannote[4102].end 17042.38034375
transcript.pyannote[4103].speaker SPEAKER_40
transcript.pyannote[4103].start 17042.31284375
transcript.pyannote[4103].end 17042.49846875
transcript.pyannote[4104].speaker SPEAKER_20
transcript.pyannote[4104].start 17042.46471875
transcript.pyannote[4104].end 17055.00284375
transcript.pyannote[4105].speaker SPEAKER_04
transcript.pyannote[4105].start 17051.32409375
transcript.pyannote[4105].end 17051.40846875
transcript.pyannote[4106].speaker SPEAKER_20
transcript.pyannote[4106].start 17055.86346875
transcript.pyannote[4106].end 17056.11659375
transcript.pyannote[4107].speaker SPEAKER_20
transcript.pyannote[4107].start 17056.25159375
transcript.pyannote[4107].end 17057.31471875
transcript.pyannote[4108].speaker SPEAKER_20
transcript.pyannote[4108].start 17058.25971875
transcript.pyannote[4108].end 17061.56721875
transcript.pyannote[4109].speaker SPEAKER_40
transcript.pyannote[4109].start 17061.65159375
transcript.pyannote[4109].end 17062.03971875
transcript.pyannote[4110].speaker SPEAKER_20
transcript.pyannote[4110].start 17061.93846875
transcript.pyannote[4110].end 17064.43596875
transcript.pyannote[4111].speaker SPEAKER_20
transcript.pyannote[4111].start 17064.72284375
transcript.pyannote[4111].end 17066.00534375
transcript.pyannote[4112].speaker SPEAKER_04
transcript.pyannote[4112].start 17066.00534375
transcript.pyannote[4112].end 17066.02221875
transcript.pyannote[4113].speaker SPEAKER_40
transcript.pyannote[4113].start 17066.02221875
transcript.pyannote[4113].end 17066.47784375
transcript.pyannote[4114].speaker SPEAKER_20
transcript.pyannote[4114].start 17066.93346875
transcript.pyannote[4114].end 17067.35534375
transcript.pyannote[4115].speaker SPEAKER_04
transcript.pyannote[4115].start 17067.35534375
transcript.pyannote[4115].end 17067.47346875
transcript.pyannote[4116].speaker SPEAKER_40
transcript.pyannote[4116].start 17067.52409375
transcript.pyannote[4116].end 17067.89534375
transcript.pyannote[4117].speaker SPEAKER_20
transcript.pyannote[4117].start 17067.77721875
transcript.pyannote[4117].end 17069.76846875
transcript.pyannote[4118].speaker SPEAKER_04
transcript.pyannote[4118].start 17067.89534375
transcript.pyannote[4118].end 17067.91221875
transcript.pyannote[4119].speaker SPEAKER_04
transcript.pyannote[4119].start 17069.76846875
transcript.pyannote[4119].end 17069.81909375
transcript.pyannote[4120].speaker SPEAKER_04
transcript.pyannote[4120].start 17069.98784375
transcript.pyannote[4120].end 17075.62409375
transcript.pyannote[4121].speaker SPEAKER_20
transcript.pyannote[4121].start 17074.91534375
transcript.pyannote[4121].end 17078.76284375
transcript.pyannote[4122].speaker SPEAKER_04
transcript.pyannote[4122].start 17076.53534375
transcript.pyannote[4122].end 17077.00784375
transcript.pyannote[4123].speaker SPEAKER_04
transcript.pyannote[4123].start 17077.91909375
transcript.pyannote[4123].end 17091.03096875
transcript.pyannote[4124].speaker SPEAKER_20
transcript.pyannote[4124].start 17089.25909375
transcript.pyannote[4124].end 17093.42721875
transcript.pyannote[4125].speaker SPEAKER_04
transcript.pyannote[4125].start 17091.84096875
transcript.pyannote[4125].end 17110.03221875
transcript.pyannote[4126].speaker SPEAKER_20
transcript.pyannote[4126].start 17109.45846875
transcript.pyannote[4126].end 17112.02346875
transcript.pyannote[4127].speaker SPEAKER_04
transcript.pyannote[4127].start 17112.15846875
transcript.pyannote[4127].end 17114.28471875
transcript.pyannote[4128].speaker SPEAKER_20
transcript.pyannote[4128].start 17113.94721875
transcript.pyannote[4128].end 17115.19596875
transcript.pyannote[4129].speaker SPEAKER_04
transcript.pyannote[4129].start 17114.33534375
transcript.pyannote[4129].end 17114.41971875
transcript.pyannote[4130].speaker SPEAKER_04
transcript.pyannote[4130].start 17115.39846875
transcript.pyannote[4130].end 17115.41534375
transcript.pyannote[4131].speaker SPEAKER_20
transcript.pyannote[4131].start 17115.41534375
transcript.pyannote[4131].end 17115.48284375
transcript.pyannote[4132].speaker SPEAKER_04
transcript.pyannote[4132].start 17115.48284375
transcript.pyannote[4132].end 17115.53346875
transcript.pyannote[4133].speaker SPEAKER_20
transcript.pyannote[4133].start 17115.53346875
transcript.pyannote[4133].end 17115.55034375
transcript.pyannote[4134].speaker SPEAKER_04
transcript.pyannote[4134].start 17115.55034375
transcript.pyannote[4134].end 17115.56721875
transcript.pyannote[4135].speaker SPEAKER_20
transcript.pyannote[4135].start 17115.56721875
transcript.pyannote[4135].end 17115.61784375
transcript.pyannote[4136].speaker SPEAKER_20
transcript.pyannote[4136].start 17116.02284375
transcript.pyannote[4136].end 17124.12284375
transcript.pyannote[4137].speaker SPEAKER_05
transcript.pyannote[4137].start 17118.09846875
transcript.pyannote[4137].end 17121.28784375
transcript.pyannote[4138].speaker SPEAKER_20
transcript.pyannote[4138].start 17124.54471875
transcript.pyannote[4138].end 17128.94909375
transcript.pyannote[4139].speaker SPEAKER_04
transcript.pyannote[4139].start 17128.08846875
transcript.pyannote[4139].end 17137.45409375
transcript.pyannote[4140].speaker SPEAKER_04
transcript.pyannote[4140].start 17137.80846875
transcript.pyannote[4140].end 17141.21721875
transcript.pyannote[4141].speaker SPEAKER_04
transcript.pyannote[4141].start 17141.72346875
transcript.pyannote[4141].end 17143.73159375
transcript.pyannote[4142].speaker SPEAKER_04
transcript.pyannote[4142].start 17144.27159375
transcript.pyannote[4142].end 17146.17846875
transcript.pyannote[4143].speaker SPEAKER_04
transcript.pyannote[4143].start 17146.21221875
transcript.pyannote[4143].end 17152.52346875
transcript.pyannote[4144].speaker SPEAKER_20
transcript.pyannote[4144].start 17151.69659375
transcript.pyannote[4144].end 17154.39659375
transcript.pyannote[4145].speaker SPEAKER_04
transcript.pyannote[4145].start 17154.81846875
transcript.pyannote[4145].end 17154.83534375
transcript.pyannote[4146].speaker SPEAKER_20
transcript.pyannote[4146].start 17154.83534375
transcript.pyannote[4146].end 17157.11346875
transcript.pyannote[4147].speaker SPEAKER_04
transcript.pyannote[4147].start 17154.90284375
transcript.pyannote[4147].end 17157.07971875
transcript.pyannote[4148].speaker SPEAKER_20
transcript.pyannote[4148].start 17157.78846875
transcript.pyannote[4148].end 17158.10909375
transcript.pyannote[4149].speaker SPEAKER_20
transcript.pyannote[4149].start 17158.42971875
transcript.pyannote[4149].end 17160.30284375
transcript.pyannote[4150].speaker SPEAKER_20
transcript.pyannote[4150].start 17161.53471875
transcript.pyannote[4150].end 17162.63159375
transcript.pyannote[4151].speaker SPEAKER_20
transcript.pyannote[4151].start 17162.86784375
transcript.pyannote[4151].end 17164.31909375
transcript.pyannote[4152].speaker SPEAKER_20
transcript.pyannote[4152].start 17164.79159375
transcript.pyannote[4152].end 17165.23034375
transcript.pyannote[4153].speaker SPEAKER_20
transcript.pyannote[4153].start 17165.53409375
transcript.pyannote[4153].end 17167.71096875
transcript.pyannote[4154].speaker SPEAKER_20
transcript.pyannote[4154].start 17167.93034375
transcript.pyannote[4154].end 17180.80596875
transcript.pyannote[4155].speaker SPEAKER_40
transcript.pyannote[4155].start 17173.80284375
transcript.pyannote[4155].end 17174.19096875
transcript.pyannote[4156].speaker SPEAKER_20
transcript.pyannote[4156].start 17180.85659375
transcript.pyannote[4156].end 17180.99159375
transcript.pyannote[4157].speaker SPEAKER_08
transcript.pyannote[4157].start 17180.99159375
transcript.pyannote[4157].end 17181.09284375
transcript.pyannote[4158].speaker SPEAKER_20
transcript.pyannote[4158].start 17181.09284375
transcript.pyannote[4158].end 17182.44284375
transcript.pyannote[4159].speaker SPEAKER_08
transcript.pyannote[4159].start 17181.16034375
transcript.pyannote[4159].end 17181.22784375
transcript.pyannote[4160].speaker SPEAKER_20
transcript.pyannote[4160].start 17182.64534375
transcript.pyannote[4160].end 17183.69159375
transcript.pyannote[4161].speaker SPEAKER_08
transcript.pyannote[4161].start 17183.91096875
transcript.pyannote[4161].end 17184.26534375
transcript.pyannote[4162].speaker SPEAKER_20
transcript.pyannote[4162].start 17184.24846875
transcript.pyannote[4162].end 17185.63221875
transcript.pyannote[4163].speaker SPEAKER_07
transcript.pyannote[4163].start 17184.26534375
transcript.pyannote[4163].end 17184.28221875
transcript.pyannote[4164].speaker SPEAKER_20
transcript.pyannote[4164].start 17185.85159375
transcript.pyannote[4164].end 17190.00284375
transcript.pyannote[4165].speaker SPEAKER_20
transcript.pyannote[4165].start 17190.40784375
transcript.pyannote[4165].end 17205.25784375
transcript.pyannote[4166].speaker SPEAKER_20
transcript.pyannote[4166].start 17205.42659375
transcript.pyannote[4166].end 17207.45159375
transcript.pyannote[4167].speaker SPEAKER_41
transcript.pyannote[4167].start 17207.50221875
transcript.pyannote[4167].end 17207.77221875
transcript.pyannote[4168].speaker SPEAKER_20
transcript.pyannote[4168].start 17208.02534375
transcript.pyannote[4168].end 17208.66659375
transcript.pyannote[4169].speaker SPEAKER_20
transcript.pyannote[4169].start 17209.47659375
transcript.pyannote[4169].end 17212.81784375
transcript.pyannote[4170].speaker SPEAKER_20
transcript.pyannote[4170].start 17214.25221875
transcript.pyannote[4170].end 17215.60221875
transcript.pyannote[4171].speaker SPEAKER_20
transcript.pyannote[4171].start 17216.68221875
transcript.pyannote[4171].end 17218.21784375
transcript.pyannote[4172].speaker SPEAKER_04
transcript.pyannote[4172].start 17218.21784375
transcript.pyannote[4172].end 17218.25159375
transcript.pyannote[4173].speaker SPEAKER_20
transcript.pyannote[4173].start 17218.48784375
transcript.pyannote[4173].end 17220.31034375
transcript.pyannote[4174].speaker SPEAKER_20
transcript.pyannote[4174].start 17220.42846875
transcript.pyannote[4174].end 17220.91784375
transcript.pyannote[4175].speaker SPEAKER_04
transcript.pyannote[4175].start 17220.91784375
transcript.pyannote[4175].end 17221.15409375
transcript.pyannote[4176].speaker SPEAKER_08
transcript.pyannote[4176].start 17221.15409375
transcript.pyannote[4176].end 17221.17096875
transcript.pyannote[4177].speaker SPEAKER_20
transcript.pyannote[4177].start 17221.28909375
transcript.pyannote[4177].end 17227.24596875
transcript.pyannote[4178].speaker SPEAKER_08
transcript.pyannote[4178].start 17227.65096875
transcript.pyannote[4178].end 17228.03909375
transcript.pyannote[4179].speaker SPEAKER_20
transcript.pyannote[4179].start 17228.02221875
transcript.pyannote[4179].end 17230.97534375
transcript.pyannote[4180].speaker SPEAKER_20
transcript.pyannote[4180].start 17231.56596875
transcript.pyannote[4180].end 17232.39284375
transcript.pyannote[4181].speaker SPEAKER_20
transcript.pyannote[4181].start 17233.05096875
transcript.pyannote[4181].end 17233.82721875
transcript.pyannote[4182].speaker SPEAKER_20
transcript.pyannote[4182].start 17234.43471875
transcript.pyannote[4182].end 17237.37096875
transcript.pyannote[4183].speaker SPEAKER_20
transcript.pyannote[4183].start 17237.48909375
transcript.pyannote[4183].end 17242.70346875
transcript.pyannote[4184].speaker SPEAKER_20
transcript.pyannote[4184].start 17243.04096875
transcript.pyannote[4184].end 17244.20534375
transcript.pyannote[4185].speaker SPEAKER_20
transcript.pyannote[4185].start 17245.48784375
transcript.pyannote[4185].end 17247.49596875
transcript.pyannote[4186].speaker SPEAKER_20
transcript.pyannote[4186].start 17247.79971875
transcript.pyannote[4186].end 17253.55409375
transcript.pyannote[4187].speaker SPEAKER_20
transcript.pyannote[4187].start 17254.00971875
transcript.pyannote[4187].end 17255.08971875
transcript.pyannote[4188].speaker SPEAKER_20
transcript.pyannote[4188].start 17256.72659375
transcript.pyannote[4188].end 17260.67534375
transcript.pyannote[4189].speaker SPEAKER_20
transcript.pyannote[4189].start 17261.80596875
transcript.pyannote[4189].end 17262.86909375
transcript.pyannote[4190].speaker SPEAKER_20
transcript.pyannote[4190].start 17263.67909375
transcript.pyannote[4190].end 17265.87284375
transcript.pyannote[4191].speaker SPEAKER_20
transcript.pyannote[4191].start 17266.27784375
transcript.pyannote[4191].end 17272.31909375
transcript.pyannote[4192].speaker SPEAKER_20
transcript.pyannote[4192].start 17272.55534375
transcript.pyannote[4192].end 17275.84596875
transcript.pyannote[4193].speaker SPEAKER_20
transcript.pyannote[4193].start 17276.74034375
transcript.pyannote[4193].end 17280.16596875
transcript.pyannote[4194].speaker SPEAKER_20
transcript.pyannote[4194].start 17280.72284375
transcript.pyannote[4194].end 17281.41471875
transcript.pyannote[4195].speaker SPEAKER_20
transcript.pyannote[4195].start 17282.64659375
transcript.pyannote[4195].end 17288.51909375
transcript.pyannote[4196].speaker SPEAKER_20
transcript.pyannote[4196].start 17289.32909375
transcript.pyannote[4196].end 17289.97034375
transcript.pyannote[4197].speaker SPEAKER_20
transcript.pyannote[4197].start 17291.03346875
transcript.pyannote[4197].end 17292.85596875
transcript.pyannote[4198].speaker SPEAKER_20
transcript.pyannote[4198].start 17294.03721875
transcript.pyannote[4198].end 17300.14596875
transcript.pyannote[4199].speaker SPEAKER_20
transcript.pyannote[4199].start 17300.51721875
transcript.pyannote[4199].end 17304.83721875
transcript.pyannote[4200].speaker SPEAKER_04
transcript.pyannote[4200].start 17306.77784375
transcript.pyannote[4200].end 17309.61284375
transcript.pyannote[4201].speaker SPEAKER_04
transcript.pyannote[4201].start 17310.37221875
transcript.pyannote[4201].end 17315.41784375
transcript.pyannote[4202].speaker SPEAKER_04
transcript.pyannote[4202].start 17315.50221875
transcript.pyannote[4202].end 17315.51909375
transcript.pyannote[4203].speaker SPEAKER_20
transcript.pyannote[4203].start 17315.51909375
transcript.pyannote[4203].end 17315.78909375
transcript.pyannote[4204].speaker SPEAKER_04
transcript.pyannote[4204].start 17315.78909375
transcript.pyannote[4204].end 17320.00784375
transcript.pyannote[4205].speaker SPEAKER_20
transcript.pyannote[4205].start 17315.80596875
transcript.pyannote[4205].end 17315.83971875
transcript.pyannote[4206].speaker SPEAKER_20
transcript.pyannote[4206].start 17317.07159375
transcript.pyannote[4206].end 17321.39159375
transcript.pyannote[4207].speaker SPEAKER_04
transcript.pyannote[4207].start 17320.69971875
transcript.pyannote[4207].end 17328.73221875
transcript.pyannote[4208].speaker SPEAKER_20
transcript.pyannote[4208].start 17322.01596875
transcript.pyannote[4208].end 17322.03284375
transcript.pyannote[4209].speaker SPEAKER_20
transcript.pyannote[4209].start 17322.84284375
transcript.pyannote[4209].end 17325.42471875
transcript.pyannote[4210].speaker SPEAKER_04
transcript.pyannote[4210].start 17329.15409375
transcript.pyannote[4210].end 17333.06909375
transcript.pyannote[4211].speaker SPEAKER_04
transcript.pyannote[4211].start 17333.27159375
transcript.pyannote[4211].end 17344.24034375
transcript.pyannote[4212].speaker SPEAKER_20
transcript.pyannote[4212].start 17342.46846875
transcript.pyannote[4212].end 17344.27409375
transcript.pyannote[4213].speaker SPEAKER_04
transcript.pyannote[4213].start 17344.27409375
transcript.pyannote[4213].end 17344.29096875
transcript.pyannote[4214].speaker SPEAKER_20
transcript.pyannote[4214].start 17344.29096875
transcript.pyannote[4214].end 17344.30784375
transcript.pyannote[4215].speaker SPEAKER_20
transcript.pyannote[4215].start 17344.74659375
transcript.pyannote[4215].end 17350.36596875
transcript.pyannote[4216].speaker SPEAKER_20
transcript.pyannote[4216].start 17350.51784375
transcript.pyannote[4216].end 17356.42409375
transcript.pyannote[4217].speaker SPEAKER_20
transcript.pyannote[4217].start 17357.16659375
transcript.pyannote[4217].end 17358.88784375
transcript.pyannote[4218].speaker SPEAKER_20
transcript.pyannote[4218].start 17359.44471875
transcript.pyannote[4218].end 17383.74471875
transcript.pyannote[4219].speaker SPEAKER_09
transcript.pyannote[4219].start 17365.90784375
transcript.pyannote[4219].end 17366.22846875
transcript.pyannote[4220].speaker SPEAKER_20
transcript.pyannote[4220].start 17385.24659375
transcript.pyannote[4220].end 17385.49971875
transcript.pyannote[4221].speaker SPEAKER_20
transcript.pyannote[4221].start 17386.29284375
transcript.pyannote[4221].end 17387.82846875
transcript.pyannote[4222].speaker SPEAKER_20
transcript.pyannote[4222].start 17388.25034375
transcript.pyannote[4222].end 17392.68846875
transcript.pyannote[4223].speaker SPEAKER_20
transcript.pyannote[4223].start 17393.00909375
transcript.pyannote[4223].end 17394.61221875
transcript.pyannote[4224].speaker SPEAKER_20
transcript.pyannote[4224].start 17395.06784375
transcript.pyannote[4224].end 17398.03784375
transcript.pyannote[4225].speaker SPEAKER_20
transcript.pyannote[4225].start 17398.72971875
transcript.pyannote[4225].end 17407.62284375
transcript.pyannote[4226].speaker SPEAKER_20
transcript.pyannote[4226].start 17408.02784375
transcript.pyannote[4226].end 17417.47784375
transcript.pyannote[4227].speaker SPEAKER_20
transcript.pyannote[4227].start 17418.18659375
transcript.pyannote[4227].end 17426.55659375
transcript.pyannote[4228].speaker SPEAKER_20
transcript.pyannote[4228].start 17426.97846875
transcript.pyannote[4228].end 17428.71659375
transcript.pyannote[4229].speaker SPEAKER_20
transcript.pyannote[4229].start 17428.85159375
transcript.pyannote[4229].end 17430.11721875
transcript.pyannote[4230].speaker SPEAKER_20
transcript.pyannote[4230].start 17431.24784375
transcript.pyannote[4230].end 17432.29409375
transcript.pyannote[4231].speaker SPEAKER_20
transcript.pyannote[4231].start 17432.69909375
transcript.pyannote[4231].end 17433.30659375
transcript.pyannote[4232].speaker SPEAKER_20
transcript.pyannote[4232].start 17433.66096875
transcript.pyannote[4232].end 17436.74909375
transcript.pyannote[4233].speaker SPEAKER_20
transcript.pyannote[4233].start 17437.64346875
transcript.pyannote[4233].end 17444.66346875
transcript.pyannote[4234].speaker SPEAKER_20
transcript.pyannote[4234].start 17445.55784375
transcript.pyannote[4234].end 17447.53221875
transcript.pyannote[4235].speaker SPEAKER_04
transcript.pyannote[4235].start 17447.53221875
transcript.pyannote[4235].end 17452.96596875
transcript.pyannote[4236].speaker SPEAKER_04
transcript.pyannote[4236].start 17453.67471875
transcript.pyannote[4236].end 17482.09221875
transcript.pyannote[4237].speaker SPEAKER_06
transcript.pyannote[4237].start 17460.35721875
transcript.pyannote[4237].end 17462.29784375
transcript.pyannote[4238].speaker SPEAKER_20
transcript.pyannote[4238].start 17481.21471875
transcript.pyannote[4238].end 17481.33284375
transcript.pyannote[4239].speaker SPEAKER_20
transcript.pyannote[4239].start 17481.94034375
transcript.pyannote[4239].end 17491.27221875
transcript.pyannote[4240].speaker SPEAKER_04
transcript.pyannote[4240].start 17487.84659375
transcript.pyannote[4240].end 17488.04909375
transcript.pyannote[4241].speaker SPEAKER_20
transcript.pyannote[4241].start 17491.42409375
transcript.pyannote[4241].end 17495.05221875
transcript.pyannote[4242].speaker SPEAKER_20
transcript.pyannote[4242].start 17495.08596875
transcript.pyannote[4242].end 17496.62159375
transcript.pyannote[4243].speaker SPEAKER_29
transcript.pyannote[4243].start 17502.64596875
transcript.pyannote[4243].end 17502.94971875
transcript.pyannote[4244].speaker SPEAKER_29
transcript.pyannote[4244].start 17503.01721875
transcript.pyannote[4244].end 17503.82721875
transcript.pyannote[4245].speaker SPEAKER_29
transcript.pyannote[4245].start 17504.19846875
transcript.pyannote[4245].end 17506.02096875
transcript.pyannote[4246].speaker SPEAKER_29
transcript.pyannote[4246].start 17506.18971875
transcript.pyannote[4246].end 17511.75846875
transcript.pyannote[4247].speaker SPEAKER_29
transcript.pyannote[4247].start 17512.06221875
transcript.pyannote[4247].end 17512.99034375
transcript.pyannote[4248].speaker SPEAKER_29
transcript.pyannote[4248].start 17513.22659375
transcript.pyannote[4248].end 17515.20096875
transcript.pyannote[4249].speaker SPEAKER_35
transcript.pyannote[4249].start 17523.43596875
transcript.pyannote[4249].end 17526.79409375
transcript.pyannote[4250].speaker SPEAKER_35
transcript.pyannote[4250].start 17527.01346875
transcript.pyannote[4250].end 17527.06409375
transcript.pyannote[4251].speaker SPEAKER_28
transcript.pyannote[4251].start 17527.06409375
transcript.pyannote[4251].end 17527.14846875
transcript.pyannote[4252].speaker SPEAKER_41
transcript.pyannote[4252].start 17533.91534375
transcript.pyannote[4252].end 17534.50596875
transcript.pyannote[4253].speaker SPEAKER_35
transcript.pyannote[4253].start 17534.06721875
transcript.pyannote[4253].end 17534.13471875
transcript.pyannote[4254].speaker SPEAKER_35
transcript.pyannote[4254].start 17534.79284375
transcript.pyannote[4254].end 17601.26346875
transcript.pyannote[4255].speaker SPEAKER_04
transcript.pyannote[4255].start 17602.17471875
transcript.pyannote[4255].end 17609.19471875
transcript.pyannote[4256].speaker SPEAKER_35
transcript.pyannote[4256].start 17609.14409375
transcript.pyannote[4256].end 17616.45096875
transcript.pyannote[4257].speaker SPEAKER_04
transcript.pyannote[4257].start 17609.49846875
transcript.pyannote[4257].end 17613.78471875
transcript.pyannote[4258].speaker SPEAKER_04
transcript.pyannote[4258].start 17614.96596875
transcript.pyannote[4258].end 17620.41659375
transcript.pyannote[4259].speaker SPEAKER_04
transcript.pyannote[4259].start 17620.70346875
transcript.pyannote[4259].end 17621.51346875
transcript.pyannote[4260].speaker SPEAKER_04
transcript.pyannote[4260].start 17621.74971875
transcript.pyannote[4260].end 17638.55721875
transcript.pyannote[4261].speaker SPEAKER_35
transcript.pyannote[4261].start 17637.74721875
transcript.pyannote[4261].end 17679.27659375
transcript.pyannote[4262].speaker SPEAKER_04
transcript.pyannote[4262].start 17645.54346875
transcript.pyannote[4262].end 17645.96534375
transcript.pyannote[4263].speaker SPEAKER_40
transcript.pyannote[4263].start 17645.96534375
transcript.pyannote[4263].end 17645.99909375
transcript.pyannote[4264].speaker SPEAKER_04
transcript.pyannote[4264].start 17645.99909375
transcript.pyannote[4264].end 17646.01596875
transcript.pyannote[4265].speaker SPEAKER_04
transcript.pyannote[4265].start 17679.27659375
transcript.pyannote[4265].end 17697.55221875
transcript.pyannote[4266].speaker SPEAKER_35
transcript.pyannote[4266].start 17679.41159375
transcript.pyannote[4266].end 17679.83346875
transcript.pyannote[4267].speaker SPEAKER_04
transcript.pyannote[4267].start 17698.17659375
transcript.pyannote[4267].end 17709.61784375
transcript.pyannote[4268].speaker SPEAKER_35
transcript.pyannote[4268].start 17708.84159375
transcript.pyannote[4268].end 17759.41596875
transcript.pyannote[4269].speaker SPEAKER_04
transcript.pyannote[4269].start 17756.76659375
transcript.pyannote[4269].end 17772.19034375
transcript.pyannote[4270].speaker SPEAKER_35
transcript.pyannote[4270].start 17773.03409375
transcript.pyannote[4270].end 17879.21159375
transcript.pyannote[4271].speaker SPEAKER_39
transcript.pyannote[4271].start 17777.13471875
transcript.pyannote[4271].end 17777.16846875
transcript.pyannote[4272].speaker SPEAKER_04
transcript.pyannote[4272].start 17777.16846875
transcript.pyannote[4272].end 17777.20221875
transcript.pyannote[4273].speaker SPEAKER_39
transcript.pyannote[4273].start 17777.20221875
transcript.pyannote[4273].end 17777.42159375
transcript.pyannote[4274].speaker SPEAKER_00
transcript.pyannote[4274].start 17783.14221875
transcript.pyannote[4274].end 17785.74096875
transcript.pyannote[4275].speaker SPEAKER_04
transcript.pyannote[4275].start 17878.28346875
transcript.pyannote[4275].end 17891.51346875
transcript.pyannote[4276].speaker SPEAKER_04
transcript.pyannote[4276].start 17891.93534375
transcript.pyannote[4276].end 17899.74846875
transcript.pyannote[4277].speaker SPEAKER_35
transcript.pyannote[4277].start 17898.53346875
transcript.pyannote[4277].end 17932.99221875
transcript.pyannote[4278].speaker SPEAKER_04
transcript.pyannote[4278].start 17900.52471875
transcript.pyannote[4278].end 17906.05971875
transcript.pyannote[4279].speaker SPEAKER_04
transcript.pyannote[4279].start 17908.45596875
transcript.pyannote[4279].end 17911.30784375
transcript.pyannote[4280].speaker SPEAKER_04
transcript.pyannote[4280].start 17929.46534375
transcript.pyannote[4280].end 17934.17346875
transcript.pyannote[4281].speaker SPEAKER_35
transcript.pyannote[4281].start 17934.22409375
transcript.pyannote[4281].end 17934.93284375
transcript.pyannote[4282].speaker SPEAKER_29
transcript.pyannote[4282].start 17941.58159375
transcript.pyannote[4282].end 17943.57284375
transcript.pyannote[4283].speaker SPEAKER_29
transcript.pyannote[4283].start 17943.72471875
transcript.pyannote[4283].end 17944.38284375
transcript.pyannote[4284].speaker SPEAKER_06
transcript.pyannote[4284].start 17954.08596875
transcript.pyannote[4284].end 17956.19534375
transcript.pyannote[4285].speaker SPEAKER_28
transcript.pyannote[4285].start 17956.26284375
transcript.pyannote[4285].end 17956.97159375
transcript.pyannote[4286].speaker SPEAKER_06
transcript.pyannote[4286].start 17963.45159375
transcript.pyannote[4286].end 18011.03909375
transcript.pyannote[4287].speaker SPEAKER_07
transcript.pyannote[4287].start 17984.44409375
transcript.pyannote[4287].end 17984.83221875
transcript.pyannote[4288].speaker SPEAKER_04
transcript.pyannote[4288].start 18011.03909375
transcript.pyannote[4288].end 18014.59971875
transcript.pyannote[4289].speaker SPEAKER_04
transcript.pyannote[4289].start 18014.81909375
transcript.pyannote[4289].end 18017.13096875
transcript.pyannote[4290].speaker SPEAKER_04
transcript.pyannote[4290].start 18017.38409375
transcript.pyannote[4290].end 18042.03846875
transcript.pyannote[4291].speaker SPEAKER_06
transcript.pyannote[4291].start 18025.63596875
transcript.pyannote[4291].end 18027.10409375
transcript.pyannote[4292].speaker SPEAKER_06
transcript.pyannote[4292].start 18027.28971875
transcript.pyannote[4292].end 18027.76221875
transcript.pyannote[4293].speaker SPEAKER_06
transcript.pyannote[4293].start 18042.03846875
transcript.pyannote[4293].end 18042.15659375
transcript.pyannote[4294].speaker SPEAKER_04
transcript.pyannote[4294].start 18042.15659375
transcript.pyannote[4294].end 18042.24096875
transcript.pyannote[4295].speaker SPEAKER_06
transcript.pyannote[4295].start 18042.24096875
transcript.pyannote[4295].end 18042.32534375
transcript.pyannote[4296].speaker SPEAKER_04
transcript.pyannote[4296].start 18042.32534375
transcript.pyannote[4296].end 18043.05096875
transcript.pyannote[4297].speaker SPEAKER_04
transcript.pyannote[4297].start 18043.69221875
transcript.pyannote[4297].end 18044.23221875
transcript.pyannote[4298].speaker SPEAKER_04
transcript.pyannote[4298].start 18044.31659375
transcript.pyannote[4298].end 18049.02471875
transcript.pyannote[4299].speaker SPEAKER_31
transcript.pyannote[4299].start 18048.29909375
transcript.pyannote[4299].end 18048.60284375
transcript.pyannote[4300].speaker SPEAKER_31
transcript.pyannote[4300].start 18049.02471875
transcript.pyannote[4300].end 18049.75034375
transcript.pyannote[4301].speaker SPEAKER_04
transcript.pyannote[4301].start 18049.75034375
transcript.pyannote[4301].end 18049.83471875
transcript.pyannote[4302].speaker SPEAKER_31
transcript.pyannote[4302].start 18050.76284375
transcript.pyannote[4302].end 18056.39909375
transcript.pyannote[4303].speaker SPEAKER_04
transcript.pyannote[4303].start 18056.51721875
transcript.pyannote[4303].end 18059.75721875
transcript.pyannote[4304].speaker SPEAKER_31
transcript.pyannote[4304].start 18059.94284375
transcript.pyannote[4304].end 18060.01034375
transcript.pyannote[4305].speaker SPEAKER_41
transcript.pyannote[4305].start 18060.01034375
transcript.pyannote[4305].end 18060.22971875
transcript.pyannote[4306].speaker SPEAKER_04
transcript.pyannote[4306].start 18060.22971875
transcript.pyannote[4306].end 18065.12346875
transcript.pyannote[4307].speaker SPEAKER_31
transcript.pyannote[4307].start 18060.26346875
transcript.pyannote[4307].end 18060.36471875
transcript.pyannote[4308].speaker SPEAKER_04
transcript.pyannote[4308].start 18065.59596875
transcript.pyannote[4308].end 18067.97534375
transcript.pyannote[4309].speaker SPEAKER_06
transcript.pyannote[4309].start 18067.97534375
transcript.pyannote[4309].end 18073.35846875
transcript.pyannote[4310].speaker SPEAKER_06
transcript.pyannote[4310].start 18073.74659375
transcript.pyannote[4310].end 18084.96846875
transcript.pyannote[4311].speaker SPEAKER_06
transcript.pyannote[4311].start 18085.30596875
transcript.pyannote[4311].end 18087.26346875
transcript.pyannote[4312].speaker SPEAKER_06
transcript.pyannote[4312].start 18087.55034375
transcript.pyannote[4312].end 18096.66284375
transcript.pyannote[4313].speaker SPEAKER_06
transcript.pyannote[4313].start 18097.47284375
transcript.pyannote[4313].end 18101.37096875
transcript.pyannote[4314].speaker SPEAKER_06
transcript.pyannote[4314].start 18102.04596875
transcript.pyannote[4314].end 18103.02471875
transcript.pyannote[4315].speaker SPEAKER_04
transcript.pyannote[4315].start 18103.02471875
transcript.pyannote[4315].end 18108.18846875
transcript.pyannote[4316].speaker SPEAKER_04
transcript.pyannote[4316].start 18108.30659375
transcript.pyannote[4316].end 18112.17096875
transcript.pyannote[4317].speaker SPEAKER_04
transcript.pyannote[4317].start 18112.54221875
transcript.pyannote[4317].end 18114.11159375
transcript.pyannote[4318].speaker SPEAKER_04
transcript.pyannote[4318].start 18114.24659375
transcript.pyannote[4318].end 18118.58346875
transcript.pyannote[4319].speaker SPEAKER_04
transcript.pyannote[4319].start 18119.24159375
transcript.pyannote[4319].end 18122.83596875
transcript.pyannote[4320].speaker SPEAKER_04
transcript.pyannote[4320].start 18123.12284375
transcript.pyannote[4320].end 18124.55721875
transcript.pyannote[4321].speaker SPEAKER_04
transcript.pyannote[4321].start 18124.77659375
transcript.pyannote[4321].end 18125.92409375
transcript.pyannote[4322].speaker SPEAKER_04
transcript.pyannote[4322].start 18126.10971875
transcript.pyannote[4322].end 18127.57784375
transcript.pyannote[4323].speaker SPEAKER_04
transcript.pyannote[4323].start 18127.67909375
transcript.pyannote[4323].end 18130.78409375
transcript.pyannote[4324].speaker SPEAKER_04
transcript.pyannote[4324].start 18131.37471875
transcript.pyannote[4324].end 18140.41971875
transcript.pyannote[4325].speaker SPEAKER_04
transcript.pyannote[4325].start 18140.89221875
transcript.pyannote[4325].end 18151.57409375
transcript.pyannote[4326].speaker SPEAKER_06
transcript.pyannote[4326].start 18151.30409375
transcript.pyannote[4326].end 18152.02971875
transcript.pyannote[4327].speaker SPEAKER_04
transcript.pyannote[4327].start 18152.02971875
transcript.pyannote[4327].end 18152.13096875
transcript.pyannote[4328].speaker SPEAKER_06
transcript.pyannote[4328].start 18152.13096875
transcript.pyannote[4328].end 18152.16471875
transcript.pyannote[4329].speaker SPEAKER_04
transcript.pyannote[4329].start 18152.16471875
transcript.pyannote[4329].end 18152.18159375
transcript.pyannote[4330].speaker SPEAKER_06
transcript.pyannote[4330].start 18152.18159375
transcript.pyannote[4330].end 18169.83284375
transcript.pyannote[4331].speaker SPEAKER_04
transcript.pyannote[4331].start 18152.35034375
transcript.pyannote[4331].end 18153.53159375
transcript.pyannote[4332].speaker SPEAKER_04
transcript.pyannote[4332].start 18156.73784375
transcript.pyannote[4332].end 18157.22721875
transcript.pyannote[4333].speaker SPEAKER_04
transcript.pyannote[4333].start 18160.73721875
transcript.pyannote[4333].end 18160.90596875
transcript.pyannote[4334].speaker SPEAKER_06
transcript.pyannote[4334].start 18170.27159375
transcript.pyannote[4334].end 18173.03909375
transcript.pyannote[4335].speaker SPEAKER_04
transcript.pyannote[4335].start 18173.76471875
transcript.pyannote[4335].end 18187.45034375
transcript.pyannote[4336].speaker SPEAKER_04
transcript.pyannote[4336].start 18187.70346875
transcript.pyannote[4336].end 18188.93534375
transcript.pyannote[4337].speaker SPEAKER_04
transcript.pyannote[4337].start 18189.17159375
transcript.pyannote[4337].end 18190.89284375
transcript.pyannote[4338].speaker SPEAKER_04
transcript.pyannote[4338].start 18191.16284375
transcript.pyannote[4338].end 18195.87096875
transcript.pyannote[4339].speaker SPEAKER_04
transcript.pyannote[4339].start 18196.09034375
transcript.pyannote[4339].end 18205.11846875
transcript.pyannote[4340].speaker SPEAKER_06
transcript.pyannote[4340].start 18201.23721875
transcript.pyannote[4340].end 18210.11346875
transcript.pyannote[4341].speaker SPEAKER_04
transcript.pyannote[4341].start 18205.81034375
transcript.pyannote[4341].end 18206.28284375
transcript.pyannote[4342].speaker SPEAKER_06
transcript.pyannote[4342].start 18210.43409375
transcript.pyannote[4342].end 18227.08971875
transcript.pyannote[4343].speaker SPEAKER_00
transcript.pyannote[4343].start 18220.55909375
transcript.pyannote[4343].end 18220.89659375
transcript.pyannote[4344].speaker SPEAKER_00
transcript.pyannote[4344].start 18222.95534375
transcript.pyannote[4344].end 18223.03971875
transcript.pyannote[4345].speaker SPEAKER_06
transcript.pyannote[4345].start 18227.37659375
transcript.pyannote[4345].end 18229.01346875
transcript.pyannote[4346].speaker SPEAKER_06
transcript.pyannote[4346].start 18229.33409375
transcript.pyannote[4346].end 18229.94159375
transcript.pyannote[4347].speaker SPEAKER_06
transcript.pyannote[4347].start 18229.97534375
transcript.pyannote[4347].end 18235.57784375
transcript.pyannote[4348].speaker SPEAKER_06
transcript.pyannote[4348].start 18236.11784375
transcript.pyannote[4348].end 18237.18096875
transcript.pyannote[4349].speaker SPEAKER_41
transcript.pyannote[4349].start 18237.18096875
transcript.pyannote[4349].end 18237.53534375
transcript.pyannote[4350].speaker SPEAKER_06
transcript.pyannote[4350].start 18237.53534375
transcript.pyannote[4350].end 18240.80909375
transcript.pyannote[4351].speaker SPEAKER_06
transcript.pyannote[4351].start 18241.63596875
transcript.pyannote[4351].end 18247.67721875
transcript.pyannote[4352].speaker SPEAKER_04
transcript.pyannote[4352].start 18247.67721875
transcript.pyannote[4352].end 18247.76159375
transcript.pyannote[4353].speaker SPEAKER_06
transcript.pyannote[4353].start 18248.11596875
transcript.pyannote[4353].end 18248.13284375
transcript.pyannote[4354].speaker SPEAKER_04
transcript.pyannote[4354].start 18248.13284375
transcript.pyannote[4354].end 18261.36284375
transcript.pyannote[4355].speaker SPEAKER_04
transcript.pyannote[4355].start 18261.44721875
transcript.pyannote[4355].end 18269.76659375
transcript.pyannote[4356].speaker SPEAKER_04
transcript.pyannote[4356].start 18269.88471875
transcript.pyannote[4356].end 18271.69034375
transcript.pyannote[4357].speaker SPEAKER_04
transcript.pyannote[4357].start 18271.82534375
transcript.pyannote[4357].end 18279.89159375
transcript.pyannote[4358].speaker SPEAKER_06
transcript.pyannote[4358].start 18279.89159375
transcript.pyannote[4358].end 18280.06034375
transcript.pyannote[4359].speaker SPEAKER_06
transcript.pyannote[4359].start 18280.17846875
transcript.pyannote[4359].end 18280.21221875
transcript.pyannote[4360].speaker SPEAKER_04
transcript.pyannote[4360].start 18280.21221875
transcript.pyannote[4360].end 18280.97159375
transcript.pyannote[4361].speaker SPEAKER_06
transcript.pyannote[4361].start 18280.97159375
transcript.pyannote[4361].end 18301.40721875
transcript.pyannote[4362].speaker SPEAKER_31
transcript.pyannote[4362].start 18288.54846875
transcript.pyannote[4362].end 18288.64971875
transcript.pyannote[4363].speaker SPEAKER_06
transcript.pyannote[4363].start 18301.79534375
transcript.pyannote[4363].end 18303.02721875
transcript.pyannote[4364].speaker SPEAKER_04
transcript.pyannote[4364].start 18301.87971875
transcript.pyannote[4364].end 18302.62221875
transcript.pyannote[4365].speaker SPEAKER_04
transcript.pyannote[4365].start 18303.02721875
transcript.pyannote[4365].end 18304.69784375
transcript.pyannote[4366].speaker SPEAKER_06
transcript.pyannote[4366].start 18304.69784375
transcript.pyannote[4366].end 18304.71471875
transcript.pyannote[4367].speaker SPEAKER_04
transcript.pyannote[4367].start 18305.08596875
transcript.pyannote[4367].end 18306.53721875
transcript.pyannote[4368].speaker SPEAKER_04
transcript.pyannote[4368].start 18306.73971875
transcript.pyannote[4368].end 18310.19909375
transcript.pyannote[4369].speaker SPEAKER_04
transcript.pyannote[4369].start 18310.58721875
transcript.pyannote[4369].end 18316.25721875
transcript.pyannote[4370].speaker SPEAKER_04
transcript.pyannote[4370].start 18316.51034375
transcript.pyannote[4370].end 18317.74221875
transcript.pyannote[4371].speaker SPEAKER_04
transcript.pyannote[4371].start 18318.63659375
transcript.pyannote[4371].end 18324.44159375
transcript.pyannote[4372].speaker SPEAKER_06
transcript.pyannote[4372].start 18324.44159375
transcript.pyannote[4372].end 18325.20096875
transcript.pyannote[4373].speaker SPEAKER_04
transcript.pyannote[4373].start 18324.47534375
transcript.pyannote[4373].end 18325.06596875
transcript.pyannote[4374].speaker SPEAKER_04
transcript.pyannote[4374].start 18325.20096875
transcript.pyannote[4374].end 18325.21784375
transcript.pyannote[4375].speaker SPEAKER_06
transcript.pyannote[4375].start 18325.21784375
transcript.pyannote[4375].end 18329.95971875
transcript.pyannote[4376].speaker SPEAKER_04
transcript.pyannote[4376].start 18325.28534375
transcript.pyannote[4376].end 18326.36534375
transcript.pyannote[4377].speaker SPEAKER_04
transcript.pyannote[4377].start 18326.73659375
transcript.pyannote[4377].end 18326.93909375
transcript.pyannote[4378].speaker SPEAKER_04
transcript.pyannote[4378].start 18328.44096875
transcript.pyannote[4378].end 18328.89659375
transcript.pyannote[4379].speaker SPEAKER_29
transcript.pyannote[4379].start 18335.66346875
transcript.pyannote[4379].end 18337.46909375
transcript.pyannote[4380].speaker SPEAKER_21
transcript.pyannote[4380].start 18346.19346875
transcript.pyannote[4380].end 18347.42534375
transcript.pyannote[4381].speaker SPEAKER_28
transcript.pyannote[4381].start 18347.56034375
transcript.pyannote[4381].end 18348.31971875
transcript.pyannote[4382].speaker SPEAKER_21
transcript.pyannote[4382].start 18355.74471875
transcript.pyannote[4382].end 18356.13284375
transcript.pyannote[4383].speaker SPEAKER_21
transcript.pyannote[4383].start 18356.62221875
transcript.pyannote[4383].end 18357.07784375
transcript.pyannote[4384].speaker SPEAKER_21
transcript.pyannote[4384].start 18357.36471875
transcript.pyannote[4384].end 18408.04034375
transcript.pyannote[4385].speaker SPEAKER_21
transcript.pyannote[4385].start 18408.49596875
transcript.pyannote[4385].end 18416.00534375
transcript.pyannote[4386].speaker SPEAKER_21
transcript.pyannote[4386].start 18416.52846875
transcript.pyannote[4386].end 18419.95409375
transcript.pyannote[4387].speaker SPEAKER_21
transcript.pyannote[4387].start 18420.08909375
transcript.pyannote[4387].end 18442.26284375
transcript.pyannote[4388].speaker SPEAKER_04
transcript.pyannote[4388].start 18443.73096875
transcript.pyannote[4388].end 18471.40596875
transcript.pyannote[4389].speaker SPEAKER_21
transcript.pyannote[4389].start 18468.60471875
transcript.pyannote[4389].end 18469.04346875
transcript.pyannote[4390].speaker SPEAKER_21
transcript.pyannote[4390].start 18470.73096875
transcript.pyannote[4390].end 18472.75596875
transcript.pyannote[4391].speaker SPEAKER_21
transcript.pyannote[4391].start 18473.54909375
transcript.pyannote[4391].end 18474.62909375
transcript.pyannote[4392].speaker SPEAKER_21
transcript.pyannote[4392].start 18475.06784375
transcript.pyannote[4392].end 18477.71721875
transcript.pyannote[4393].speaker SPEAKER_21
transcript.pyannote[4393].start 18477.97034375
transcript.pyannote[4393].end 18486.15471875
transcript.pyannote[4394].speaker SPEAKER_21
transcript.pyannote[4394].start 18486.98159375
transcript.pyannote[4394].end 18497.76471875
transcript.pyannote[4395].speaker SPEAKER_21
transcript.pyannote[4395].start 18498.20346875
transcript.pyannote[4395].end 18504.58221875
transcript.pyannote[4396].speaker SPEAKER_21
transcript.pyannote[4396].start 18504.88596875
transcript.pyannote[4396].end 18516.59721875
transcript.pyannote[4397].speaker SPEAKER_04
transcript.pyannote[4397].start 18514.74096875
transcript.pyannote[4397].end 18515.53409375
transcript.pyannote[4398].speaker SPEAKER_21
transcript.pyannote[4398].start 18516.86721875
transcript.pyannote[4398].end 18541.35284375
transcript.pyannote[4399].speaker SPEAKER_21
transcript.pyannote[4399].start 18541.63971875
transcript.pyannote[4399].end 18545.30159375
transcript.pyannote[4400].speaker SPEAKER_21
transcript.pyannote[4400].start 18545.35221875
transcript.pyannote[4400].end 18546.75284375
transcript.pyannote[4401].speaker SPEAKER_21
transcript.pyannote[4401].start 18547.96784375
transcript.pyannote[4401].end 18551.79846875
transcript.pyannote[4402].speaker SPEAKER_21
transcript.pyannote[4402].start 18551.89971875
transcript.pyannote[4402].end 18552.70971875
transcript.pyannote[4403].speaker SPEAKER_21
transcript.pyannote[4403].start 18553.26659375
transcript.pyannote[4403].end 18556.23659375
transcript.pyannote[4404].speaker SPEAKER_04
transcript.pyannote[4404].start 18556.70909375
transcript.pyannote[4404].end 18564.08346875
transcript.pyannote[4405].speaker SPEAKER_04
transcript.pyannote[4405].start 18564.18471875
transcript.pyannote[4405].end 18577.34721875
transcript.pyannote[4406].speaker SPEAKER_21
transcript.pyannote[4406].start 18574.00596875
transcript.pyannote[4406].end 18576.55409375
transcript.pyannote[4407].speaker SPEAKER_21
transcript.pyannote[4407].start 18577.34721875
transcript.pyannote[4407].end 18583.27034375
transcript.pyannote[4408].speaker SPEAKER_04
transcript.pyannote[4408].start 18577.38096875
transcript.pyannote[4408].end 18577.43159375
transcript.pyannote[4409].speaker SPEAKER_04
transcript.pyannote[4409].start 18577.51596875
transcript.pyannote[4409].end 18578.12346875
transcript.pyannote[4410].speaker SPEAKER_21
transcript.pyannote[4410].start 18583.35471875
transcript.pyannote[4410].end 18584.38409375
transcript.pyannote[4411].speaker SPEAKER_21
transcript.pyannote[4411].start 18584.68784375
transcript.pyannote[4411].end 18586.64534375
transcript.pyannote[4412].speaker SPEAKER_04
transcript.pyannote[4412].start 18584.70471875
transcript.pyannote[4412].end 18587.72534375
transcript.pyannote[4413].speaker SPEAKER_04
transcript.pyannote[4413].start 18588.19784375
transcript.pyannote[4413].end 18604.78596875
transcript.pyannote[4414].speaker SPEAKER_21
transcript.pyannote[4414].start 18604.85346875
transcript.pyannote[4414].end 18608.76846875
transcript.pyannote[4415].speaker SPEAKER_21
transcript.pyannote[4415].start 18608.95409375
transcript.pyannote[4415].end 18610.64159375
transcript.pyannote[4416].speaker SPEAKER_21
transcript.pyannote[4416].start 18610.91159375
transcript.pyannote[4416].end 18612.04221875
transcript.pyannote[4417].speaker SPEAKER_21
transcript.pyannote[4417].start 18613.18971875
transcript.pyannote[4417].end 18617.79659375
transcript.pyannote[4418].speaker SPEAKER_21
transcript.pyannote[4418].start 18617.86409375
transcript.pyannote[4418].end 18617.88096875
transcript.pyannote[4419].speaker SPEAKER_41
transcript.pyannote[4419].start 18617.88096875
transcript.pyannote[4419].end 18618.23534375
transcript.pyannote[4420].speaker SPEAKER_21
transcript.pyannote[4420].start 18618.16784375
transcript.pyannote[4420].end 18630.45284375
transcript.pyannote[4421].speaker SPEAKER_41
transcript.pyannote[4421].start 18621.35721875
transcript.pyannote[4421].end 18621.54284375
transcript.pyannote[4422].speaker SPEAKER_41
transcript.pyannote[4422].start 18630.40221875
transcript.pyannote[4422].end 18630.85784375
transcript.pyannote[4423].speaker SPEAKER_21
transcript.pyannote[4423].start 18630.80721875
transcript.pyannote[4423].end 18637.03409375
transcript.pyannote[4424].speaker SPEAKER_21
transcript.pyannote[4424].start 18637.08471875
transcript.pyannote[4424].end 18646.01159375
transcript.pyannote[4425].speaker SPEAKER_07
transcript.pyannote[4425].start 18645.72471875
transcript.pyannote[4425].end 18646.18034375
transcript.pyannote[4426].speaker SPEAKER_21
transcript.pyannote[4426].start 18646.11284375
transcript.pyannote[4426].end 18648.42471875
transcript.pyannote[4427].speaker SPEAKER_21
transcript.pyannote[4427].start 18648.77909375
transcript.pyannote[4427].end 18649.70721875
transcript.pyannote[4428].speaker SPEAKER_21
transcript.pyannote[4428].start 18650.24721875
transcript.pyannote[4428].end 18658.31346875
transcript.pyannote[4429].speaker SPEAKER_21
transcript.pyannote[4429].start 18658.70159375
transcript.pyannote[4429].end 18675.89721875
transcript.pyannote[4430].speaker SPEAKER_21
transcript.pyannote[4430].start 18676.60596875
transcript.pyannote[4430].end 18683.40659375
transcript.pyannote[4431].speaker SPEAKER_21
transcript.pyannote[4431].start 18683.67659375
transcript.pyannote[4431].end 18685.80284375
transcript.pyannote[4432].speaker SPEAKER_04
transcript.pyannote[4432].start 18686.29221875
transcript.pyannote[4432].end 18718.13534375
transcript.pyannote[4433].speaker SPEAKER_21
transcript.pyannote[4433].start 18715.08096875
transcript.pyannote[4433].end 18721.64534375
transcript.pyannote[4434].speaker SPEAKER_04
transcript.pyannote[4434].start 18719.55284375
transcript.pyannote[4434].end 18723.80534375
transcript.pyannote[4435].speaker SPEAKER_21
transcript.pyannote[4435].start 18722.84346875
transcript.pyannote[4435].end 18729.93096875
transcript.pyannote[4436].speaker SPEAKER_21
transcript.pyannote[4436].start 18729.96471875
transcript.pyannote[4436].end 18730.16721875
transcript.pyannote[4437].speaker SPEAKER_08
transcript.pyannote[4437].start 18730.11659375
transcript.pyannote[4437].end 18730.15034375
transcript.pyannote[4438].speaker SPEAKER_08
transcript.pyannote[4438].start 18730.16721875
transcript.pyannote[4438].end 18730.21784375
transcript.pyannote[4439].speaker SPEAKER_21
transcript.pyannote[4439].start 18730.21784375
transcript.pyannote[4439].end 18733.27221875
transcript.pyannote[4440].speaker SPEAKER_08
transcript.pyannote[4440].start 18730.30221875
transcript.pyannote[4440].end 18730.45409375
transcript.pyannote[4441].speaker SPEAKER_40
transcript.pyannote[4441].start 18730.45409375
transcript.pyannote[4441].end 18730.50471875
transcript.pyannote[4442].speaker SPEAKER_21
transcript.pyannote[4442].start 18733.64346875
transcript.pyannote[4442].end 18736.10721875
transcript.pyannote[4443].speaker SPEAKER_21
transcript.pyannote[4443].start 18736.52909375
transcript.pyannote[4443].end 18754.75409375
transcript.pyannote[4444].speaker SPEAKER_21
transcript.pyannote[4444].start 18754.99034375
transcript.pyannote[4444].end 18757.63971875
transcript.pyannote[4445].speaker SPEAKER_04
transcript.pyannote[4445].start 18758.23034375
transcript.pyannote[4445].end 18758.63534375
transcript.pyannote[4446].speaker SPEAKER_04
transcript.pyannote[4446].start 18759.37784375
transcript.pyannote[4446].end 18771.29159375
transcript.pyannote[4447].speaker SPEAKER_21
transcript.pyannote[4447].start 18763.91721875
transcript.pyannote[4447].end 18765.58784375
transcript.pyannote[4448].speaker SPEAKER_21
transcript.pyannote[4448].start 18767.03909375
transcript.pyannote[4448].end 18767.86596875
transcript.pyannote[4449].speaker SPEAKER_21
transcript.pyannote[4449].start 18771.29159375
transcript.pyannote[4449].end 18773.80596875
transcript.pyannote[4450].speaker SPEAKER_29
transcript.pyannote[4450].start 18778.98659375
transcript.pyannote[4450].end 18784.97721875
transcript.pyannote[4451].speaker SPEAKER_34
transcript.pyannote[4451].start 18791.74409375
transcript.pyannote[4451].end 18795.18659375
transcript.pyannote[4452].speaker SPEAKER_34
transcript.pyannote[4452].start 18802.67909375
transcript.pyannote[4452].end 18823.67159375
transcript.pyannote[4453].speaker SPEAKER_40
transcript.pyannote[4453].start 18802.74659375
transcript.pyannote[4453].end 18803.20221875
transcript.pyannote[4454].speaker SPEAKER_04
transcript.pyannote[4454].start 18824.16096875
transcript.pyannote[4454].end 18835.83846875
transcript.pyannote[4455].speaker SPEAKER_04
transcript.pyannote[4455].start 18836.07471875
transcript.pyannote[4455].end 18838.01534375
transcript.pyannote[4456].speaker SPEAKER_04
transcript.pyannote[4456].start 18838.31909375
transcript.pyannote[4456].end 18857.30346875
transcript.pyannote[4457].speaker SPEAKER_34
transcript.pyannote[4457].start 18857.40471875
transcript.pyannote[4457].end 18866.17971875
transcript.pyannote[4458].speaker SPEAKER_41
transcript.pyannote[4458].start 18864.13784375
transcript.pyannote[4458].end 18864.45846875
transcript.pyannote[4459].speaker SPEAKER_41
transcript.pyannote[4459].start 18865.43721875
transcript.pyannote[4459].end 18866.44971875
transcript.pyannote[4460].speaker SPEAKER_34
transcript.pyannote[4460].start 18866.44971875
transcript.pyannote[4460].end 18892.87596875
transcript.pyannote[4461].speaker SPEAKER_34
transcript.pyannote[4461].start 18892.90971875
transcript.pyannote[4461].end 18927.87471875
transcript.pyannote[4462].speaker SPEAKER_04
transcript.pyannote[4462].start 18928.02659375
transcript.pyannote[4462].end 18933.86534375
transcript.pyannote[4463].speaker SPEAKER_41
transcript.pyannote[4463].start 18933.86534375
transcript.pyannote[4463].end 18934.54034375
transcript.pyannote[4464].speaker SPEAKER_04
transcript.pyannote[4464].start 18934.10159375
transcript.pyannote[4464].end 18940.59846875
transcript.pyannote[4465].speaker SPEAKER_04
transcript.pyannote[4465].start 18941.44221875
transcript.pyannote[4465].end 18942.30284375
transcript.pyannote[4466].speaker SPEAKER_04
transcript.pyannote[4466].start 18942.82596875
transcript.pyannote[4466].end 18946.04909375
transcript.pyannote[4467].speaker SPEAKER_34
transcript.pyannote[4467].start 18946.48784375
transcript.pyannote[4467].end 19024.61909375
transcript.pyannote[4468].speaker SPEAKER_41
transcript.pyannote[4468].start 18964.57784375
transcript.pyannote[4468].end 18966.16409375
transcript.pyannote[4469].speaker SPEAKER_41
transcript.pyannote[4469].start 18966.21471875
transcript.pyannote[4469].end 18967.27784375
transcript.pyannote[4470].speaker SPEAKER_41
transcript.pyannote[4470].start 18970.01159375
transcript.pyannote[4470].end 18970.41659375
transcript.pyannote[4471].speaker SPEAKER_40
transcript.pyannote[4471].start 18970.41659375
transcript.pyannote[4471].end 18970.43346875
transcript.pyannote[4472].speaker SPEAKER_41
transcript.pyannote[4472].start 18971.10846875
transcript.pyannote[4472].end 18971.42909375
transcript.pyannote[4473].speaker SPEAKER_40
transcript.pyannote[4473].start 18971.42909375
transcript.pyannote[4473].end 18971.47971875
transcript.pyannote[4474].speaker SPEAKER_04
transcript.pyannote[4474].start 19024.63596875
transcript.pyannote[4474].end 19028.41596875
transcript.pyannote[4475].speaker SPEAKER_04
transcript.pyannote[4475].start 19028.98971875
transcript.pyannote[4475].end 19034.74409375
transcript.pyannote[4476].speaker SPEAKER_04
transcript.pyannote[4476].start 19035.28409375
transcript.pyannote[4476].end 19038.38909375
transcript.pyannote[4477].speaker SPEAKER_04
transcript.pyannote[4477].start 19038.47346875
transcript.pyannote[4477].end 19048.61534375
transcript.pyannote[4478].speaker SPEAKER_34
transcript.pyannote[4478].start 19047.40034375
transcript.pyannote[4478].end 19107.07034375
transcript.pyannote[4479].speaker SPEAKER_04
transcript.pyannote[4479].start 19049.89784375
transcript.pyannote[4479].end 19050.85971875
transcript.pyannote[4480].speaker SPEAKER_39
transcript.pyannote[4480].start 19050.85971875
transcript.pyannote[4480].end 19050.87659375
transcript.pyannote[4481].speaker SPEAKER_04
transcript.pyannote[4481].start 19053.89721875
transcript.pyannote[4481].end 19053.94784375
transcript.pyannote[4482].speaker SPEAKER_39
transcript.pyannote[4482].start 19053.94784375
transcript.pyannote[4482].end 19054.33596875
transcript.pyannote[4483].speaker SPEAKER_04
transcript.pyannote[4483].start 19054.33596875
transcript.pyannote[4483].end 19054.35284375
transcript.pyannote[4484].speaker SPEAKER_39
transcript.pyannote[4484].start 19058.79096875
transcript.pyannote[4484].end 19059.02721875
transcript.pyannote[4485].speaker SPEAKER_00
transcript.pyannote[4485].start 19065.69284375
transcript.pyannote[4485].end 19066.31721875
transcript.pyannote[4486].speaker SPEAKER_04
transcript.pyannote[4486].start 19106.37846875
transcript.pyannote[4486].end 19114.64721875
transcript.pyannote[4487].speaker SPEAKER_04
transcript.pyannote[4487].start 19115.38971875
transcript.pyannote[4487].end 19126.05471875
transcript.pyannote[4488].speaker SPEAKER_04
transcript.pyannote[4488].start 19126.49346875
transcript.pyannote[4488].end 19128.19784375
transcript.pyannote[4489].speaker SPEAKER_04
transcript.pyannote[4489].start 19128.55221875
transcript.pyannote[4489].end 19139.57159375
transcript.pyannote[4490].speaker SPEAKER_34
transcript.pyannote[4490].start 19135.87596875
transcript.pyannote[4490].end 19149.94971875
transcript.pyannote[4491].speaker SPEAKER_34
transcript.pyannote[4491].start 19150.48971875
transcript.pyannote[4491].end 19175.80221875
transcript.pyannote[4492].speaker SPEAKER_00
transcript.pyannote[4492].start 19152.75096875
transcript.pyannote[4492].end 19153.22346875
transcript.pyannote[4493].speaker SPEAKER_00
transcript.pyannote[4493].start 19153.66221875
transcript.pyannote[4493].end 19153.98284375
transcript.pyannote[4494].speaker SPEAKER_04
transcript.pyannote[4494].start 19175.92034375
transcript.pyannote[4494].end 19186.99034375
transcript.pyannote[4495].speaker SPEAKER_34
transcript.pyannote[4495].start 19185.01596875
transcript.pyannote[4495].end 19190.23034375
transcript.pyannote[4496].speaker SPEAKER_04
transcript.pyannote[4496].start 19189.70721875
transcript.pyannote[4496].end 19195.27596875
transcript.pyannote[4497].speaker SPEAKER_34
transcript.pyannote[4497].start 19194.83721875
transcript.pyannote[4497].end 19195.83284375
transcript.pyannote[4498].speaker SPEAKER_29
transcript.pyannote[4498].start 19202.32971875
transcript.pyannote[4498].end 19204.05096875
transcript.pyannote[4499].speaker SPEAKER_03
transcript.pyannote[4499].start 19208.11784375
transcript.pyannote[4499].end 19209.41721875
transcript.pyannote[4500].speaker SPEAKER_29
transcript.pyannote[4500].start 19209.65346875
transcript.pyannote[4500].end 19209.67034375
transcript.pyannote[4501].speaker SPEAKER_28
transcript.pyannote[4501].start 19209.67034375
transcript.pyannote[4501].end 19210.42971875
transcript.pyannote[4502].speaker SPEAKER_03
transcript.pyannote[4502].start 19218.22596875
transcript.pyannote[4502].end 19218.76596875
transcript.pyannote[4503].speaker SPEAKER_03
transcript.pyannote[4503].start 19219.15409375
transcript.pyannote[4503].end 19220.38596875
transcript.pyannote[4504].speaker SPEAKER_03
transcript.pyannote[4504].start 19221.16221875
transcript.pyannote[4504].end 19221.85409375
transcript.pyannote[4505].speaker SPEAKER_03
transcript.pyannote[4505].start 19222.49534375
transcript.pyannote[4505].end 19223.23784375
transcript.pyannote[4506].speaker SPEAKER_03
transcript.pyannote[4506].start 19223.86221875
transcript.pyannote[4506].end 19227.38909375
transcript.pyannote[4507].speaker SPEAKER_03
transcript.pyannote[4507].start 19228.45221875
transcript.pyannote[4507].end 19230.91596875
transcript.pyannote[4508].speaker SPEAKER_03
transcript.pyannote[4508].start 19231.72596875
transcript.pyannote[4508].end 19233.93659375
transcript.pyannote[4509].speaker SPEAKER_03
transcript.pyannote[4509].start 19234.27409375
transcript.pyannote[4509].end 19235.05034375
transcript.pyannote[4510].speaker SPEAKER_03
transcript.pyannote[4510].start 19235.23596875
transcript.pyannote[4510].end 19238.03721875
transcript.pyannote[4511].speaker SPEAKER_04
transcript.pyannote[4511].start 19238.03721875
transcript.pyannote[4511].end 19238.07096875
transcript.pyannote[4512].speaker SPEAKER_03
transcript.pyannote[4512].start 19238.44221875
transcript.pyannote[4512].end 19239.03284375
transcript.pyannote[4513].speaker SPEAKER_04
transcript.pyannote[4513].start 19239.03284375
transcript.pyannote[4513].end 19254.65909375
transcript.pyannote[4514].speaker SPEAKER_03
transcript.pyannote[4514].start 19246.32284375
transcript.pyannote[4514].end 19247.38596875
transcript.pyannote[4515].speaker SPEAKER_03
transcript.pyannote[4515].start 19254.65909375
transcript.pyannote[4515].end 19254.69284375
transcript.pyannote[4516].speaker SPEAKER_03
transcript.pyannote[4516].start 19254.96284375
transcript.pyannote[4516].end 19261.79721875
transcript.pyannote[4517].speaker SPEAKER_04
transcript.pyannote[4517].start 19255.21596875
transcript.pyannote[4517].end 19255.99221875
transcript.pyannote[4518].speaker SPEAKER_04
transcript.pyannote[4518].start 19257.91596875
transcript.pyannote[4518].end 19258.30409375
transcript.pyannote[4519].speaker SPEAKER_04
transcript.pyannote[4519].start 19259.35034375
transcript.pyannote[4519].end 19259.45159375
transcript.pyannote[4520].speaker SPEAKER_04
transcript.pyannote[4520].start 19262.21909375
transcript.pyannote[4520].end 19265.86409375
transcript.pyannote[4521].speaker SPEAKER_04
transcript.pyannote[4521].start 19265.98221875
transcript.pyannote[4521].end 19266.40409375
transcript.pyannote[4522].speaker SPEAKER_04
transcript.pyannote[4522].start 19267.38284375
transcript.pyannote[4522].end 19268.96909375
transcript.pyannote[4523].speaker SPEAKER_04
transcript.pyannote[4523].start 19270.84221875
transcript.pyannote[4523].end 19272.52971875
transcript.pyannote[4524].speaker SPEAKER_04
transcript.pyannote[4524].start 19272.68159375
transcript.pyannote[4524].end 19275.36471875
transcript.pyannote[4525].speaker SPEAKER_04
transcript.pyannote[4525].start 19275.43221875
transcript.pyannote[4525].end 19276.96784375
transcript.pyannote[4526].speaker SPEAKER_03
transcript.pyannote[4526].start 19276.96784375
transcript.pyannote[4526].end 19290.29909375
transcript.pyannote[4527].speaker SPEAKER_03
transcript.pyannote[4527].start 19290.75471875
transcript.pyannote[4527].end 19292.74596875
transcript.pyannote[4528].speaker SPEAKER_04
transcript.pyannote[4528].start 19290.90659375
transcript.pyannote[4528].end 19292.76284375
transcript.pyannote[4529].speaker SPEAKER_03
transcript.pyannote[4529].start 19292.76284375
transcript.pyannote[4529].end 19295.59784375
transcript.pyannote[4530].speaker SPEAKER_03
transcript.pyannote[4530].start 19295.85096875
transcript.pyannote[4530].end 19300.30596875
transcript.pyannote[4531].speaker SPEAKER_04
transcript.pyannote[4531].start 19295.88471875
transcript.pyannote[4531].end 19296.47534375
transcript.pyannote[4532].speaker SPEAKER_04
transcript.pyannote[4532].start 19300.18784375
transcript.pyannote[4532].end 19300.22159375
transcript.pyannote[4533].speaker SPEAKER_04
transcript.pyannote[4533].start 19300.30596875
transcript.pyannote[4533].end 19302.02721875
transcript.pyannote[4534].speaker SPEAKER_04
transcript.pyannote[4534].start 19302.33096875
transcript.pyannote[4534].end 19303.71471875
transcript.pyannote[4535].speaker SPEAKER_04
transcript.pyannote[4535].start 19304.05221875
transcript.pyannote[4535].end 19305.97596875
transcript.pyannote[4536].speaker SPEAKER_03
transcript.pyannote[4536].start 19305.97596875
transcript.pyannote[4536].end 19315.61159375
transcript.pyannote[4537].speaker SPEAKER_07
transcript.pyannote[4537].start 19312.42221875
transcript.pyannote[4537].end 19313.85659375
transcript.pyannote[4538].speaker SPEAKER_07
transcript.pyannote[4538].start 19314.91971875
transcript.pyannote[4538].end 19315.56096875
transcript.pyannote[4539].speaker SPEAKER_07
transcript.pyannote[4539].start 19315.61159375
transcript.pyannote[4539].end 19315.96596875
transcript.pyannote[4540].speaker SPEAKER_03
transcript.pyannote[4540].start 19315.96596875
transcript.pyannote[4540].end 19324.60596875
transcript.pyannote[4541].speaker SPEAKER_07
transcript.pyannote[4541].start 19317.48471875
transcript.pyannote[4541].end 19317.92346875
transcript.pyannote[4542].speaker SPEAKER_07
transcript.pyannote[4542].start 19322.20971875
transcript.pyannote[4542].end 19322.68221875
transcript.pyannote[4543].speaker SPEAKER_03
transcript.pyannote[4543].start 19324.90971875
transcript.pyannote[4543].end 19327.54221875
transcript.pyannote[4544].speaker SPEAKER_03
transcript.pyannote[4544].start 19328.01471875
transcript.pyannote[4544].end 19328.92596875
transcript.pyannote[4545].speaker SPEAKER_07
transcript.pyannote[4545].start 19328.92596875
transcript.pyannote[4545].end 19329.31409375
transcript.pyannote[4546].speaker SPEAKER_03
transcript.pyannote[4546].start 19329.31409375
transcript.pyannote[4546].end 19341.83534375
transcript.pyannote[4547].speaker SPEAKER_03
transcript.pyannote[4547].start 19342.03784375
transcript.pyannote[4547].end 19344.56909375
transcript.pyannote[4548].speaker SPEAKER_04
transcript.pyannote[4548].start 19344.56909375
transcript.pyannote[4548].end 19344.58596875
transcript.pyannote[4549].speaker SPEAKER_07
transcript.pyannote[4549].start 19345.29471875
transcript.pyannote[4549].end 19345.37909375
transcript.pyannote[4550].speaker SPEAKER_04
transcript.pyannote[4550].start 19345.37909375
transcript.pyannote[4550].end 19345.46346875
transcript.pyannote[4551].speaker SPEAKER_07
transcript.pyannote[4551].start 19345.46346875
transcript.pyannote[4551].end 19345.78409375
transcript.pyannote[4552].speaker SPEAKER_07
transcript.pyannote[4552].start 19346.08784375
transcript.pyannote[4552].end 19346.10471875
transcript.pyannote[4553].speaker SPEAKER_04
transcript.pyannote[4553].start 19346.10471875
transcript.pyannote[4553].end 19347.77534375
transcript.pyannote[4554].speaker SPEAKER_03
transcript.pyannote[4554].start 19346.20596875
transcript.pyannote[4554].end 19346.44221875
transcript.pyannote[4555].speaker SPEAKER_04
transcript.pyannote[4555].start 19348.24784375
transcript.pyannote[4555].end 19360.54971875
transcript.pyannote[4556].speaker SPEAKER_03
transcript.pyannote[4556].start 19360.54971875
transcript.pyannote[4556].end 19366.18596875
transcript.pyannote[4557].speaker SPEAKER_04
transcript.pyannote[4557].start 19365.46034375
transcript.pyannote[4557].end 19365.56159375
transcript.pyannote[4558].speaker SPEAKER_00
transcript.pyannote[4558].start 19365.56159375
transcript.pyannote[4558].end 19365.61221875
transcript.pyannote[4559].speaker SPEAKER_04
transcript.pyannote[4559].start 19365.61221875
transcript.pyannote[4559].end 19365.96659375
transcript.pyannote[4560].speaker SPEAKER_00
transcript.pyannote[4560].start 19365.96659375
transcript.pyannote[4560].end 19366.00034375
transcript.pyannote[4561].speaker SPEAKER_03
transcript.pyannote[4561].start 19366.40534375
transcript.pyannote[4561].end 19369.54409375
transcript.pyannote[4562].speaker SPEAKER_03
transcript.pyannote[4562].start 19369.76346875
transcript.pyannote[4562].end 19370.55659375
transcript.pyannote[4563].speaker SPEAKER_00
transcript.pyannote[4563].start 19371.90659375
transcript.pyannote[4563].end 19375.46721875
transcript.pyannote[4564].speaker SPEAKER_03
transcript.pyannote[4564].start 19375.65284375
transcript.pyannote[4564].end 19381.05284375
transcript.pyannote[4565].speaker SPEAKER_03
transcript.pyannote[4565].start 19381.86284375
transcript.pyannote[4565].end 19382.50409375
transcript.pyannote[4566].speaker SPEAKER_00
transcript.pyannote[4566].start 19383.16221875
transcript.pyannote[4566].end 19383.66846875
transcript.pyannote[4567].speaker SPEAKER_00
transcript.pyannote[4567].start 19385.96346875
transcript.pyannote[4567].end 19386.03096875
transcript.pyannote[4568].speaker SPEAKER_00
transcript.pyannote[4568].start 19386.08159375
transcript.pyannote[4568].end 19386.09846875
transcript.pyannote[4569].speaker SPEAKER_03
transcript.pyannote[4569].start 19386.09846875
transcript.pyannote[4569].end 19387.58346875
transcript.pyannote[4570].speaker SPEAKER_03
transcript.pyannote[4570].start 19388.74784375
transcript.pyannote[4570].end 19389.50721875
transcript.pyannote[4571].speaker SPEAKER_00
transcript.pyannote[4571].start 19389.33846875
transcript.pyannote[4571].end 19390.19909375
transcript.pyannote[4572].speaker SPEAKER_03
transcript.pyannote[4572].start 19390.68846875
transcript.pyannote[4572].end 19390.95846875
transcript.pyannote[4573].speaker SPEAKER_00
transcript.pyannote[4573].start 19391.12721875
transcript.pyannote[4573].end 19391.80221875
transcript.pyannote[4574].speaker SPEAKER_03
transcript.pyannote[4574].start 19391.71784375
transcript.pyannote[4574].end 19393.37159375
transcript.pyannote[4575].speaker SPEAKER_00
transcript.pyannote[4575].start 19394.02971875
transcript.pyannote[4575].end 19394.41784375
transcript.pyannote[4576].speaker SPEAKER_03
transcript.pyannote[4576].start 19394.41784375
transcript.pyannote[4576].end 19395.66659375
transcript.pyannote[4577].speaker SPEAKER_00
transcript.pyannote[4577].start 19394.43471875
transcript.pyannote[4577].end 19394.45159375
transcript.pyannote[4578].speaker SPEAKER_03
transcript.pyannote[4578].start 19395.91971875
transcript.pyannote[4578].end 19397.08409375
transcript.pyannote[4579].speaker SPEAKER_03
transcript.pyannote[4579].start 19397.35409375
transcript.pyannote[4579].end 19400.18909375
transcript.pyannote[4580].speaker SPEAKER_03
transcript.pyannote[4580].start 19400.50971875
transcript.pyannote[4580].end 19402.61909375
transcript.pyannote[4581].speaker SPEAKER_07
transcript.pyannote[4581].start 19402.61909375
transcript.pyannote[4581].end 19403.02409375
transcript.pyannote[4582].speaker SPEAKER_03
transcript.pyannote[4582].start 19403.02409375
transcript.pyannote[4582].end 19408.00221875
transcript.pyannote[4583].speaker SPEAKER_03
transcript.pyannote[4583].start 19408.23846875
transcript.pyannote[4583].end 19409.82471875
transcript.pyannote[4584].speaker SPEAKER_03
transcript.pyannote[4584].start 19410.28034375
transcript.pyannote[4584].end 19411.56284375
transcript.pyannote[4585].speaker SPEAKER_07
transcript.pyannote[4585].start 19411.25909375
transcript.pyannote[4585].end 19411.71471875
transcript.pyannote[4586].speaker SPEAKER_03
transcript.pyannote[4586].start 19411.71471875
transcript.pyannote[4586].end 19416.97971875
transcript.pyannote[4587].speaker SPEAKER_07
transcript.pyannote[4587].start 19414.78596875
transcript.pyannote[4587].end 19415.07284375
transcript.pyannote[4588].speaker SPEAKER_40
transcript.pyannote[4588].start 19415.07284375
transcript.pyannote[4588].end 19415.10659375
transcript.pyannote[4589].speaker SPEAKER_03
transcript.pyannote[4589].start 19417.06409375
transcript.pyannote[4589].end 19419.84846875
transcript.pyannote[4590].speaker SPEAKER_40
transcript.pyannote[4590].start 19418.48159375
transcript.pyannote[4590].end 19418.80221875
transcript.pyannote[4591].speaker SPEAKER_00
transcript.pyannote[4591].start 19418.80221875
transcript.pyannote[4591].end 19418.83596875
transcript.pyannote[4592].speaker SPEAKER_03
transcript.pyannote[4592].start 19420.01721875
transcript.pyannote[4592].end 19426.31159375
transcript.pyannote[4593].speaker SPEAKER_03
transcript.pyannote[4593].start 19426.95284375
transcript.pyannote[4593].end 19431.72846875
transcript.pyannote[4594].speaker SPEAKER_03
transcript.pyannote[4594].start 19431.88034375
transcript.pyannote[4594].end 19435.25534375
transcript.pyannote[4595].speaker SPEAKER_03
transcript.pyannote[4595].start 19437.12846875
transcript.pyannote[4595].end 19445.68409375
transcript.pyannote[4596].speaker SPEAKER_03
transcript.pyannote[4596].start 19445.86971875
transcript.pyannote[4596].end 19449.46409375
transcript.pyannote[4597].speaker SPEAKER_03
transcript.pyannote[4597].start 19449.80159375
transcript.pyannote[4597].end 19451.37096875
transcript.pyannote[4598].speaker SPEAKER_03
transcript.pyannote[4598].start 19452.19784375
transcript.pyannote[4598].end 19453.75034375
transcript.pyannote[4599].speaker SPEAKER_03
transcript.pyannote[4599].start 19454.32409375
transcript.pyannote[4599].end 19470.67596875
transcript.pyannote[4600].speaker SPEAKER_03
transcript.pyannote[4600].start 19470.89534375
transcript.pyannote[4600].end 19473.42659375
transcript.pyannote[4601].speaker SPEAKER_03
transcript.pyannote[4601].start 19474.52346875
transcript.pyannote[4601].end 19475.04659375
transcript.pyannote[4602].speaker SPEAKER_03
transcript.pyannote[4602].start 19475.29971875
transcript.pyannote[4602].end 19476.71721875
transcript.pyannote[4603].speaker SPEAKER_03
transcript.pyannote[4603].start 19478.03346875
transcript.pyannote[4603].end 19479.09659375
transcript.pyannote[4604].speaker SPEAKER_03
transcript.pyannote[4604].start 19479.73784375
transcript.pyannote[4604].end 19482.99471875
transcript.pyannote[4605].speaker SPEAKER_03
transcript.pyannote[4605].start 19483.51784375
transcript.pyannote[4605].end 19485.61034375
transcript.pyannote[4606].speaker SPEAKER_03
transcript.pyannote[4606].start 19486.13346875
transcript.pyannote[4606].end 19488.91784375
transcript.pyannote[4607].speaker SPEAKER_03
transcript.pyannote[4607].start 19489.76159375
transcript.pyannote[4607].end 19491.01034375
transcript.pyannote[4608].speaker SPEAKER_03
transcript.pyannote[4608].start 19491.88784375
transcript.pyannote[4608].end 19493.60909375
transcript.pyannote[4609].speaker SPEAKER_03
transcript.pyannote[4609].start 19493.89596875
transcript.pyannote[4609].end 19494.50346875
transcript.pyannote[4610].speaker SPEAKER_03
transcript.pyannote[4610].start 19494.89159375
transcript.pyannote[4610].end 19495.38096875
transcript.pyannote[4611].speaker SPEAKER_03
transcript.pyannote[4611].start 19496.86596875
transcript.pyannote[4611].end 19497.45659375
transcript.pyannote[4612].speaker SPEAKER_03
transcript.pyannote[4612].start 19497.57471875
transcript.pyannote[4612].end 19506.02909375
transcript.pyannote[4613].speaker SPEAKER_03
transcript.pyannote[4613].start 19506.45096875
transcript.pyannote[4613].end 19509.33659375
transcript.pyannote[4614].speaker SPEAKER_03
transcript.pyannote[4614].start 19509.77534375
transcript.pyannote[4614].end 19513.21784375
transcript.pyannote[4615].speaker SPEAKER_03
transcript.pyannote[4615].start 19513.92659375
transcript.pyannote[4615].end 19515.02346875
transcript.pyannote[4616].speaker SPEAKER_03
transcript.pyannote[4616].start 19515.27659375
transcript.pyannote[4616].end 19516.01909375
transcript.pyannote[4617].speaker SPEAKER_03
transcript.pyannote[4617].start 19516.71096875
transcript.pyannote[4617].end 19518.12846875
transcript.pyannote[4618].speaker SPEAKER_03
transcript.pyannote[4618].start 19519.61346875
transcript.pyannote[4618].end 19520.50784375
transcript.pyannote[4619].speaker SPEAKER_03
transcript.pyannote[4619].start 19520.69346875
transcript.pyannote[4619].end 19523.66346875
transcript.pyannote[4620].speaker SPEAKER_03
transcript.pyannote[4620].start 19524.25409375
transcript.pyannote[4620].end 19524.64221875
transcript.pyannote[4621].speaker SPEAKER_03
transcript.pyannote[4621].start 19524.97971875
transcript.pyannote[4621].end 19526.02596875
transcript.pyannote[4622].speaker SPEAKER_03
transcript.pyannote[4622].start 19526.16096875
transcript.pyannote[4622].end 19528.48971875
transcript.pyannote[4623].speaker SPEAKER_04
transcript.pyannote[4623].start 19530.36284375
transcript.pyannote[4623].end 19568.26409375
transcript.pyannote[4624].speaker SPEAKER_03
transcript.pyannote[4624].start 19568.26409375
transcript.pyannote[4624].end 19568.29784375
transcript.pyannote[4625].speaker SPEAKER_04
transcript.pyannote[4625].start 19568.83784375
transcript.pyannote[4625].end 19568.97284375
transcript.pyannote[4626].speaker SPEAKER_03
transcript.pyannote[4626].start 19568.97284375
transcript.pyannote[4626].end 19573.59659375
transcript.pyannote[4627].speaker SPEAKER_04
transcript.pyannote[4627].start 19572.02721875
transcript.pyannote[4627].end 19572.04409375
transcript.pyannote[4628].speaker SPEAKER_07
transcript.pyannote[4628].start 19572.04409375
transcript.pyannote[4628].end 19572.43221875
transcript.pyannote[4629].speaker SPEAKER_03
transcript.pyannote[4629].start 19573.96784375
transcript.pyannote[4629].end 19576.11096875
transcript.pyannote[4630].speaker SPEAKER_03
transcript.pyannote[4630].start 19576.60034375
transcript.pyannote[4630].end 19578.87846875
transcript.pyannote[4631].speaker SPEAKER_03
transcript.pyannote[4631].start 19579.36784375
transcript.pyannote[4631].end 19580.31284375
transcript.pyannote[4632].speaker SPEAKER_03
transcript.pyannote[4632].start 19580.76846875
transcript.pyannote[4632].end 19584.04221875
transcript.pyannote[4633].speaker SPEAKER_03
transcript.pyannote[4633].start 19584.44721875
transcript.pyannote[4633].end 19585.83096875
transcript.pyannote[4634].speaker SPEAKER_03
transcript.pyannote[4634].start 19586.08409375
transcript.pyannote[4634].end 19588.21034375
transcript.pyannote[4635].speaker SPEAKER_40
transcript.pyannote[4635].start 19588.29471875
transcript.pyannote[4635].end 19588.68284375
transcript.pyannote[4636].speaker SPEAKER_03
transcript.pyannote[4636].start 19588.64909375
transcript.pyannote[4636].end 19592.80034375
transcript.pyannote[4637].speaker SPEAKER_03
transcript.pyannote[4637].start 19593.40784375
transcript.pyannote[4637].end 19594.53846875
transcript.pyannote[4638].speaker SPEAKER_41
transcript.pyannote[4638].start 19594.75784375
transcript.pyannote[4638].end 19595.23034375
transcript.pyannote[4639].speaker SPEAKER_03
transcript.pyannote[4639].start 19595.28096875
transcript.pyannote[4639].end 19612.74659375
transcript.pyannote[4640].speaker SPEAKER_03
transcript.pyannote[4640].start 19613.25284375
transcript.pyannote[4640].end 19613.26971875
transcript.pyannote[4641].speaker SPEAKER_04
transcript.pyannote[4641].start 19613.26971875
transcript.pyannote[4641].end 19620.32346875
transcript.pyannote[4642].speaker SPEAKER_04
transcript.pyannote[4642].start 19620.52596875
transcript.pyannote[4642].end 19628.96346875
transcript.pyannote[4643].speaker SPEAKER_03
transcript.pyannote[4643].start 19628.96346875
transcript.pyannote[4643].end 19631.74784375
transcript.pyannote[4644].speaker SPEAKER_03
transcript.pyannote[4644].start 19632.23721875
transcript.pyannote[4644].end 19633.43534375
transcript.pyannote[4645].speaker SPEAKER_03
transcript.pyannote[4645].start 19633.73909375
transcript.pyannote[4645].end 19634.88659375
transcript.pyannote[4646].speaker SPEAKER_03
transcript.pyannote[4646].start 19635.56159375
transcript.pyannote[4646].end 19636.35471875
transcript.pyannote[4647].speaker SPEAKER_03
transcript.pyannote[4647].start 19637.26596875
transcript.pyannote[4647].end 19638.63284375
transcript.pyannote[4648].speaker SPEAKER_03
transcript.pyannote[4648].start 19639.57784375
transcript.pyannote[4648].end 19640.30346875
transcript.pyannote[4649].speaker SPEAKER_03
transcript.pyannote[4649].start 19640.48909375
transcript.pyannote[4649].end 19643.42534375
transcript.pyannote[4650].speaker SPEAKER_03
transcript.pyannote[4650].start 19644.35346875
transcript.pyannote[4650].end 19646.26034375
transcript.pyannote[4651].speaker SPEAKER_07
transcript.pyannote[4651].start 19646.47971875
transcript.pyannote[4651].end 19646.73284375
transcript.pyannote[4652].speaker SPEAKER_03
transcript.pyannote[4652].start 19646.73284375
transcript.pyannote[4652].end 19647.89721875
transcript.pyannote[4653].speaker SPEAKER_03
transcript.pyannote[4653].start 19648.08284375
transcript.pyannote[4653].end 19649.68596875
transcript.pyannote[4654].speaker SPEAKER_03
transcript.pyannote[4654].start 19650.37784375
transcript.pyannote[4654].end 19650.83346875
transcript.pyannote[4655].speaker SPEAKER_03
transcript.pyannote[4655].start 19651.69409375
transcript.pyannote[4655].end 19660.51971875
transcript.pyannote[4656].speaker SPEAKER_00
transcript.pyannote[4656].start 19656.65534375
transcript.pyannote[4656].end 19656.92534375
transcript.pyannote[4657].speaker SPEAKER_00
transcript.pyannote[4657].start 19657.75221875
transcript.pyannote[4657].end 19657.76909375
transcript.pyannote[4658].speaker SPEAKER_40
transcript.pyannote[4658].start 19657.76909375
transcript.pyannote[4658].end 19658.03909375
transcript.pyannote[4659].speaker SPEAKER_07
transcript.pyannote[4659].start 19658.03909375
transcript.pyannote[4659].end 19658.08971875
transcript.pyannote[4660].speaker SPEAKER_00
transcript.pyannote[4660].start 19658.08971875
transcript.pyannote[4660].end 19658.10659375
transcript.pyannote[4661].speaker SPEAKER_03
transcript.pyannote[4661].start 19660.58721875
transcript.pyannote[4661].end 19662.46034375
transcript.pyannote[4662].speaker SPEAKER_03
transcript.pyannote[4662].start 19662.69659375
transcript.pyannote[4662].end 19666.15596875
transcript.pyannote[4663].speaker SPEAKER_07
transcript.pyannote[4663].start 19666.39221875
transcript.pyannote[4663].end 19667.21909375
transcript.pyannote[4664].speaker SPEAKER_04
transcript.pyannote[4664].start 19674.07034375
transcript.pyannote[4664].end 19674.12096875
transcript.pyannote[4665].speaker SPEAKER_07
transcript.pyannote[4665].start 19674.12096875
transcript.pyannote[4665].end 19674.32346875
transcript.pyannote[4666].speaker SPEAKER_03
transcript.pyannote[4666].start 19677.04034375
transcript.pyannote[4666].end 19677.81659375
transcript.pyannote[4667].speaker SPEAKER_04
transcript.pyannote[4667].start 19677.81659375
transcript.pyannote[4667].end 19677.86721875
transcript.pyannote[4668].speaker SPEAKER_03
transcript.pyannote[4668].start 19677.95159375
transcript.pyannote[4668].end 19680.70221875
transcript.pyannote[4669].speaker SPEAKER_03
transcript.pyannote[4669].start 19680.88784375
transcript.pyannote[4669].end 19682.67659375
transcript.pyannote[4670].speaker SPEAKER_03
transcript.pyannote[4670].start 19683.19971875
transcript.pyannote[4670].end 19684.85346875
transcript.pyannote[4671].speaker SPEAKER_39
transcript.pyannote[4671].start 19684.90409375
transcript.pyannote[4671].end 19685.17409375
transcript.pyannote[4672].speaker SPEAKER_03
transcript.pyannote[4672].start 19685.17409375
transcript.pyannote[4672].end 19686.28784375
transcript.pyannote[4673].speaker SPEAKER_03
transcript.pyannote[4673].start 19686.32159375
transcript.pyannote[4673].end 19687.16534375
transcript.pyannote[4674].speaker SPEAKER_03
transcript.pyannote[4674].start 19687.99221875
transcript.pyannote[4674].end 19689.10596875
transcript.pyannote[4675].speaker SPEAKER_03
transcript.pyannote[4675].start 19689.20721875
transcript.pyannote[4675].end 19691.90721875
transcript.pyannote[4676].speaker SPEAKER_03
transcript.pyannote[4676].start 19692.97034375
transcript.pyannote[4676].end 19698.23534375
transcript.pyannote[4677].speaker SPEAKER_03
transcript.pyannote[4677].start 19698.42096875
transcript.pyannote[4677].end 19701.72846875
transcript.pyannote[4678].speaker SPEAKER_03
transcript.pyannote[4678].start 19701.96471875
transcript.pyannote[4678].end 19704.66471875
transcript.pyannote[4679].speaker SPEAKER_07
transcript.pyannote[4679].start 19704.90096875
transcript.pyannote[4679].end 19705.18784375
transcript.pyannote[4680].speaker SPEAKER_03
transcript.pyannote[4680].start 19706.35221875
transcript.pyannote[4680].end 19707.39846875
transcript.pyannote[4681].speaker SPEAKER_03
transcript.pyannote[4681].start 19709.40659375
transcript.pyannote[4681].end 19711.04346875
transcript.pyannote[4682].speaker SPEAKER_03
transcript.pyannote[4682].start 19711.12784375
transcript.pyannote[4682].end 19712.08971875
transcript.pyannote[4683].speaker SPEAKER_07
transcript.pyannote[4683].start 19711.38096875
transcript.pyannote[4683].end 19711.83659375
transcript.pyannote[4684].speaker SPEAKER_03
transcript.pyannote[4684].start 19712.41034375
transcript.pyannote[4684].end 19713.27096875
transcript.pyannote[4685].speaker SPEAKER_03
transcript.pyannote[4685].start 19713.77721875
transcript.pyannote[4685].end 19715.97096875
transcript.pyannote[4686].speaker SPEAKER_04
transcript.pyannote[4686].start 19715.97096875
transcript.pyannote[4686].end 19716.00471875
transcript.pyannote[4687].speaker SPEAKER_03
transcript.pyannote[4687].start 19716.32534375
transcript.pyannote[4687].end 19717.01721875
transcript.pyannote[4688].speaker SPEAKER_04
transcript.pyannote[4688].start 19717.01721875
transcript.pyannote[4688].end 19717.05096875
transcript.pyannote[4689].speaker SPEAKER_03
transcript.pyannote[4689].start 19717.62471875
transcript.pyannote[4689].end 19717.64159375
transcript.pyannote[4690].speaker SPEAKER_04
transcript.pyannote[4690].start 19717.64159375
transcript.pyannote[4690].end 19741.97534375
transcript.pyannote[4691].speaker SPEAKER_03
transcript.pyannote[4691].start 19741.97534375
transcript.pyannote[4691].end 19743.84846875
transcript.pyannote[4692].speaker SPEAKER_03
transcript.pyannote[4692].start 19744.40534375
transcript.pyannote[4692].end 19747.67909375
transcript.pyannote[4693].speaker SPEAKER_03
transcript.pyannote[4693].start 19748.08409375
transcript.pyannote[4693].end 19750.02471875
transcript.pyannote[4694].speaker SPEAKER_03
transcript.pyannote[4694].start 19750.17659375
transcript.pyannote[4694].end 19751.61096875
transcript.pyannote[4695].speaker SPEAKER_03
transcript.pyannote[4695].start 19753.68659375
transcript.pyannote[4695].end 19754.32784375
transcript.pyannote[4696].speaker SPEAKER_04
transcript.pyannote[4696].start 19754.32784375
transcript.pyannote[4696].end 19754.96909375
transcript.pyannote[4697].speaker SPEAKER_03
transcript.pyannote[4697].start 19754.96909375
transcript.pyannote[4697].end 19755.35721875
transcript.pyannote[4698].speaker SPEAKER_04
transcript.pyannote[4698].start 19755.35721875
transcript.pyannote[4698].end 19755.39096875
transcript.pyannote[4699].speaker SPEAKER_04
transcript.pyannote[4699].start 19758.05721875
transcript.pyannote[4699].end 19758.07409375
transcript.pyannote[4700].speaker SPEAKER_03
transcript.pyannote[4700].start 19758.07409375
transcript.pyannote[4700].end 19759.45784375
transcript.pyannote[4701].speaker SPEAKER_04
transcript.pyannote[4701].start 19759.98096875
transcript.pyannote[4701].end 19759.99784375
transcript.pyannote[4702].speaker SPEAKER_03
transcript.pyannote[4702].start 19759.99784375
transcript.pyannote[4702].end 19760.92596875
transcript.pyannote[4703].speaker SPEAKER_03
transcript.pyannote[4703].start 19761.12846875
transcript.pyannote[4703].end 19761.43221875
transcript.pyannote[4704].speaker SPEAKER_03
transcript.pyannote[4704].start 19761.63471875
transcript.pyannote[4704].end 19763.10284375
transcript.pyannote[4705].speaker SPEAKER_03
transcript.pyannote[4705].start 19763.87909375
transcript.pyannote[4705].end 19764.23346875
transcript.pyannote[4706].speaker SPEAKER_39
transcript.pyannote[4706].start 19764.46971875
transcript.pyannote[4706].end 19764.62159375
transcript.pyannote[4707].speaker SPEAKER_03
transcript.pyannote[4707].start 19765.17846875
transcript.pyannote[4707].end 19766.56221875
transcript.pyannote[4708].speaker SPEAKER_03
transcript.pyannote[4708].start 19766.81534375
transcript.pyannote[4708].end 19768.03034375
transcript.pyannote[4709].speaker SPEAKER_03
transcript.pyannote[4709].start 19768.57034375
transcript.pyannote[4709].end 19769.12721875
transcript.pyannote[4710].speaker SPEAKER_03
transcript.pyannote[4710].start 19770.17346875
transcript.pyannote[4710].end 19771.15221875
transcript.pyannote[4711].speaker SPEAKER_03
transcript.pyannote[4711].start 19771.79346875
transcript.pyannote[4711].end 19772.89034375
transcript.pyannote[4712].speaker SPEAKER_03
transcript.pyannote[4712].start 19773.71721875
transcript.pyannote[4712].end 19774.93221875
transcript.pyannote[4713].speaker SPEAKER_03
transcript.pyannote[4713].start 19776.14721875
transcript.pyannote[4713].end 19777.98659375
transcript.pyannote[4714].speaker SPEAKER_04
transcript.pyannote[4714].start 19779.80909375
transcript.pyannote[4714].end 19808.96909375
transcript.pyannote[4715].speaker SPEAKER_03
transcript.pyannote[4715].start 19808.96909375
transcript.pyannote[4715].end 19809.66096875
transcript.pyannote[4716].speaker SPEAKER_03
transcript.pyannote[4716].start 19810.03221875
transcript.pyannote[4716].end 19810.84221875
transcript.pyannote[4717].speaker SPEAKER_03
transcript.pyannote[4717].start 19811.26409375
transcript.pyannote[4717].end 19813.82909375
transcript.pyannote[4718].speaker SPEAKER_03
transcript.pyannote[4718].start 19814.16659375
transcript.pyannote[4718].end 19815.98909375
transcript.pyannote[4719].speaker SPEAKER_03
transcript.pyannote[4719].start 19816.46159375
transcript.pyannote[4719].end 19818.46971875
transcript.pyannote[4720].speaker SPEAKER_03
transcript.pyannote[4720].start 19818.82409375
transcript.pyannote[4720].end 19822.57034375
transcript.pyannote[4721].speaker SPEAKER_03
transcript.pyannote[4721].start 19822.97534375
transcript.pyannote[4721].end 19823.81909375
transcript.pyannote[4722].speaker SPEAKER_03
transcript.pyannote[4722].start 19824.29159375
transcript.pyannote[4722].end 19827.16034375
transcript.pyannote[4723].speaker SPEAKER_07
transcript.pyannote[4723].start 19827.16034375
transcript.pyannote[4723].end 19827.37971875
transcript.pyannote[4724].speaker SPEAKER_03
transcript.pyannote[4724].start 19827.31221875
transcript.pyannote[4724].end 19828.12221875
transcript.pyannote[4725].speaker SPEAKER_03
transcript.pyannote[4725].start 19829.45534375
transcript.pyannote[4725].end 19830.34971875
transcript.pyannote[4726].speaker SPEAKER_07
transcript.pyannote[4726].start 19830.53534375
transcript.pyannote[4726].end 19830.77159375
transcript.pyannote[4727].speaker SPEAKER_03
transcript.pyannote[4727].start 19830.77159375
transcript.pyannote[4727].end 19831.49721875
transcript.pyannote[4728].speaker SPEAKER_03
transcript.pyannote[4728].start 19832.35784375
transcript.pyannote[4728].end 19832.71221875
transcript.pyannote[4729].speaker SPEAKER_03
transcript.pyannote[4729].start 19832.94846875
transcript.pyannote[4729].end 19833.62346875
transcript.pyannote[4730].speaker SPEAKER_29
transcript.pyannote[4730].start 19841.01471875
transcript.pyannote[4730].end 19845.19971875
transcript.pyannote[4731].speaker SPEAKER_29
transcript.pyannote[4731].start 19845.30096875
transcript.pyannote[4731].end 19849.18221875
transcript.pyannote[4732].speaker SPEAKER_27
transcript.pyannote[4732].start 19855.84784375
transcript.pyannote[4732].end 19858.27784375
transcript.pyannote[4733].speaker SPEAKER_08
transcript.pyannote[4733].start 19865.97284375
transcript.pyannote[4733].end 19866.36096875
transcript.pyannote[4734].speaker SPEAKER_27
transcript.pyannote[4734].start 19866.58034375
transcript.pyannote[4734].end 19867.59284375
transcript.pyannote[4735].speaker SPEAKER_27
transcript.pyannote[4735].start 19868.18346875
transcript.pyannote[4735].end 19868.99346875
transcript.pyannote[4736].speaker SPEAKER_27
transcript.pyannote[4736].start 19869.14534375
transcript.pyannote[4736].end 19873.02659375
transcript.pyannote[4737].speaker SPEAKER_27
transcript.pyannote[4737].start 19873.22909375
transcript.pyannote[4737].end 19881.71721875
transcript.pyannote[4738].speaker SPEAKER_27
transcript.pyannote[4738].start 19882.02096875
transcript.pyannote[4738].end 19886.47596875
transcript.pyannote[4739].speaker SPEAKER_27
transcript.pyannote[4739].start 19886.93159375
transcript.pyannote[4739].end 19890.79596875
transcript.pyannote[4740].speaker SPEAKER_27
transcript.pyannote[4740].start 19891.36971875
transcript.pyannote[4740].end 19894.86284375
transcript.pyannote[4741].speaker SPEAKER_27
transcript.pyannote[4741].start 19894.96409375
transcript.pyannote[4741].end 19903.60409375
transcript.pyannote[4742].speaker SPEAKER_27
transcript.pyannote[4742].start 19904.05971875
transcript.pyannote[4742].end 19924.12409375
transcript.pyannote[4743].speaker SPEAKER_27
transcript.pyannote[4743].start 19924.57971875
transcript.pyannote[4743].end 19930.80659375
transcript.pyannote[4744].speaker SPEAKER_27
transcript.pyannote[4744].start 19931.17784375
transcript.pyannote[4744].end 19955.86596875
transcript.pyannote[4745].speaker SPEAKER_27
transcript.pyannote[4745].start 19957.08096875
transcript.pyannote[4745].end 19958.49846875
transcript.pyannote[4746].speaker SPEAKER_27
transcript.pyannote[4746].start 19959.00471875
transcript.pyannote[4746].end 19961.01284375
transcript.pyannote[4747].speaker SPEAKER_27
transcript.pyannote[4747].start 19961.11409375
transcript.pyannote[4747].end 19963.61159375
transcript.pyannote[4748].speaker SPEAKER_04
transcript.pyannote[4748].start 19965.36659375
transcript.pyannote[4748].end 19973.98971875
transcript.pyannote[4749].speaker SPEAKER_04
transcript.pyannote[4749].start 19974.12471875
transcript.pyannote[4749].end 19982.10659375
transcript.pyannote[4750].speaker SPEAKER_27
transcript.pyannote[4750].start 19977.78659375
transcript.pyannote[4750].end 19977.97221875
transcript.pyannote[4751].speaker SPEAKER_27
transcript.pyannote[4751].start 19981.07721875
transcript.pyannote[4751].end 19983.30471875
transcript.pyannote[4752].speaker SPEAKER_27
transcript.pyannote[4752].start 19983.35534375
transcript.pyannote[4752].end 19984.19909375
transcript.pyannote[4753].speaker SPEAKER_27
transcript.pyannote[4753].start 19984.51971875
transcript.pyannote[4753].end 19988.89034375
transcript.pyannote[4754].speaker SPEAKER_27
transcript.pyannote[4754].start 19989.04221875
transcript.pyannote[4754].end 20025.05346875
transcript.pyannote[4755].speaker SPEAKER_27
transcript.pyannote[4755].start 20025.08721875
transcript.pyannote[4755].end 20028.17534375
transcript.pyannote[4756].speaker SPEAKER_27
transcript.pyannote[4756].start 20028.34409375
transcript.pyannote[4756].end 20031.58409375
transcript.pyannote[4757].speaker SPEAKER_27
transcript.pyannote[4757].start 20031.80346875
transcript.pyannote[4757].end 20037.99659375
transcript.pyannote[4758].speaker SPEAKER_27
transcript.pyannote[4758].start 20038.80659375
transcript.pyannote[4758].end 20040.49409375
transcript.pyannote[4759].speaker SPEAKER_27
transcript.pyannote[4759].start 20040.98346875
transcript.pyannote[4759].end 20041.94534375
transcript.pyannote[4760].speaker SPEAKER_27
transcript.pyannote[4760].start 20042.24909375
transcript.pyannote[4760].end 20045.01659375
transcript.pyannote[4761].speaker SPEAKER_27
transcript.pyannote[4761].start 20045.45534375
transcript.pyannote[4761].end 20046.23159375
transcript.pyannote[4762].speaker SPEAKER_27
transcript.pyannote[4762].start 20046.72096875
transcript.pyannote[4762].end 20047.78409375
transcript.pyannote[4763].speaker SPEAKER_27
transcript.pyannote[4763].start 20048.35784375
transcript.pyannote[4763].end 20050.53471875
transcript.pyannote[4764].speaker SPEAKER_27
transcript.pyannote[4764].start 20050.90596875
transcript.pyannote[4764].end 20056.47471875
transcript.pyannote[4765].speaker SPEAKER_04
transcript.pyannote[4765].start 20056.79534375
transcript.pyannote[4765].end 20062.78596875
transcript.pyannote[4766].speaker SPEAKER_04
transcript.pyannote[4766].start 20063.35971875
transcript.pyannote[4766].end 20103.50534375
transcript.pyannote[4767].speaker SPEAKER_27
transcript.pyannote[4767].start 20096.94096875
transcript.pyannote[4767].end 20097.39659375
transcript.pyannote[4768].speaker SPEAKER_27
transcript.pyannote[4768].start 20101.69971875
transcript.pyannote[4768].end 20101.98659375
transcript.pyannote[4769].speaker SPEAKER_27
transcript.pyannote[4769].start 20102.57721875
transcript.pyannote[4769].end 20103.92721875
transcript.pyannote[4770].speaker SPEAKER_04
transcript.pyannote[4770].start 20104.18034375
transcript.pyannote[4770].end 20109.98534375
transcript.pyannote[4771].speaker SPEAKER_27
transcript.pyannote[4771].start 20109.00659375
transcript.pyannote[4771].end 20112.61784375
transcript.pyannote[4772].speaker SPEAKER_27
transcript.pyannote[4772].start 20112.82034375
transcript.pyannote[4772].end 20115.45284375
transcript.pyannote[4773].speaker SPEAKER_27
transcript.pyannote[4773].start 20116.16159375
transcript.pyannote[4773].end 20117.54534375
transcript.pyannote[4774].speaker SPEAKER_08
transcript.pyannote[4774].start 20117.19096875
transcript.pyannote[4774].end 20118.03471875
transcript.pyannote[4775].speaker SPEAKER_27
transcript.pyannote[4775].start 20118.10221875
transcript.pyannote[4775].end 20120.29596875
transcript.pyannote[4776].speaker SPEAKER_27
transcript.pyannote[4776].start 20120.75159375
transcript.pyannote[4776].end 20121.76409375
transcript.pyannote[4777].speaker SPEAKER_27
transcript.pyannote[4777].start 20122.42221875
transcript.pyannote[4777].end 20122.74284375
transcript.pyannote[4778].speaker SPEAKER_27
transcript.pyannote[4778].start 20123.14784375
transcript.pyannote[4778].end 20126.16846875
transcript.pyannote[4779].speaker SPEAKER_27
transcript.pyannote[4779].start 20127.26534375
transcript.pyannote[4779].end 20130.89346875
transcript.pyannote[4780].speaker SPEAKER_27
transcript.pyannote[4780].start 20131.50096875
transcript.pyannote[4780].end 20150.24909375
transcript.pyannote[4781].speaker SPEAKER_27
transcript.pyannote[4781].start 20150.40096875
transcript.pyannote[4781].end 20170.46534375
transcript.pyannote[4782].speaker SPEAKER_27
transcript.pyannote[4782].start 20170.85346875
transcript.pyannote[4782].end 20171.69721875
transcript.pyannote[4783].speaker SPEAKER_27
transcript.pyannote[4783].start 20172.20346875
transcript.pyannote[4783].end 20192.03159375
transcript.pyannote[4784].speaker SPEAKER_04
transcript.pyannote[4784].start 20192.25096875
transcript.pyannote[4784].end 20194.39409375
transcript.pyannote[4785].speaker SPEAKER_04
transcript.pyannote[4785].start 20194.44471875
transcript.pyannote[4785].end 20211.67409375
transcript.pyannote[4786].speaker SPEAKER_40
transcript.pyannote[4786].start 20195.37284375
transcript.pyannote[4786].end 20195.72721875
transcript.pyannote[4787].speaker SPEAKER_27
transcript.pyannote[4787].start 20210.57721875
transcript.pyannote[4787].end 20211.16784375
transcript.pyannote[4788].speaker SPEAKER_27
transcript.pyannote[4788].start 20211.64034375
transcript.pyannote[4788].end 20218.32284375
transcript.pyannote[4789].speaker SPEAKER_27
transcript.pyannote[4789].start 20218.79534375
transcript.pyannote[4789].end 20222.00159375
transcript.pyannote[4790].speaker SPEAKER_27
transcript.pyannote[4790].start 20222.79471875
transcript.pyannote[4790].end 20224.46534375
transcript.pyannote[4791].speaker SPEAKER_27
transcript.pyannote[4791].start 20224.65096875
transcript.pyannote[4791].end 20229.22409375
transcript.pyannote[4792].speaker SPEAKER_27
transcript.pyannote[4792].start 20229.78096875
transcript.pyannote[4792].end 20232.51471875
transcript.pyannote[4793].speaker SPEAKER_27
transcript.pyannote[4793].start 20233.35846875
transcript.pyannote[4793].end 20235.09659375
transcript.pyannote[4794].speaker SPEAKER_27
transcript.pyannote[4794].start 20235.73784375
transcript.pyannote[4794].end 20237.64471875
transcript.pyannote[4795].speaker SPEAKER_27
transcript.pyannote[4795].start 20238.42096875
transcript.pyannote[4795].end 20239.95659375
transcript.pyannote[4796].speaker SPEAKER_27
transcript.pyannote[4796].start 20240.36159375
transcript.pyannote[4796].end 20241.81284375
transcript.pyannote[4797].speaker SPEAKER_27
transcript.pyannote[4797].start 20242.30221875
transcript.pyannote[4797].end 20245.45784375
transcript.pyannote[4798].speaker SPEAKER_27
transcript.pyannote[4798].start 20245.81221875
transcript.pyannote[4798].end 20246.38596875
transcript.pyannote[4799].speaker SPEAKER_27
transcript.pyannote[4799].start 20246.65596875
transcript.pyannote[4799].end 20251.68471875
transcript.pyannote[4800].speaker SPEAKER_27
transcript.pyannote[4800].start 20252.29221875
transcript.pyannote[4800].end 20254.14846875
transcript.pyannote[4801].speaker SPEAKER_29
transcript.pyannote[4801].start 20261.96159375
transcript.pyannote[4801].end 20270.26409375
transcript.pyannote[4802].speaker SPEAKER_29
transcript.pyannote[4802].start 20271.86721875
transcript.pyannote[4802].end 20285.56971875
transcript.pyannote[4803].speaker SPEAKER_29
transcript.pyannote[4803].start 20285.89034375
transcript.pyannote[4803].end 20289.18096875
transcript.pyannote[4804].speaker SPEAKER_38
transcript.pyannote[4804].start 20302.27596875
transcript.pyannote[4804].end 20302.32659375
transcript.pyannote[4805].speaker SPEAKER_38
transcript.pyannote[4805].start 20302.63034375
transcript.pyannote[4805].end 20303.37284375
transcript.pyannote[4806].speaker SPEAKER_38
transcript.pyannote[4806].start 20304.60471875
transcript.pyannote[4806].end 20305.75221875
transcript.whisperx[0].start 91.057
transcript.whisperx[0].end 91.163
transcript.whisperx[0].text 本集完
transcript.whisperx[1].start 146.332
transcript.whisperx[1].end 146.393
transcript.whisperx[1].text 本集完
transcript.whisperx[2].start 594.104
transcript.whisperx[2].end 594.582
transcript.whisperx[2].text MING PAO CANADA MANGA
transcript.whisperx[3].start 653.114
transcript.whisperx[3].end 653.507
transcript.whisperx[3].text MING PAO CANADA MANGA
transcript.whisperx[4].start 1030.725
transcript.whisperx[4].end 1031.34
transcript.whisperx[4].text
transcript.whisperx[5].start 1251.015
transcript.whisperx[5].end 1252.585
transcript.whisperx[5].text MING PAO CANADA MANGA
transcript.whisperx[6].start 1766.089
transcript.whisperx[6].end 1783.536
transcript.whisperx[6].text 委員會主席
transcript.whisperx[7].start 1830.303
transcript.whisperx[7].end 1831.203
transcript.whisperx[7].text 現在開會進行報告事項請宣讀上次會議議事錄
transcript.whisperx[8].start 1843.547
transcript.whisperx[8].end 1864.378
transcript.whisperx[8].text 立法院第11屆第2會期經濟委員會第5次全體委員會議.事由.時間113年10月16日星期三9時至15時3分.地點紅樓議員會議室.出席委員林大化委員等14人.列席委員萬美玲委員等36人.列席人員經濟部部長郭志輝及相關人員.主席呂昭吉委員喻林
transcript.whisperx[9].start 1865.018
transcript.whisperx[9].end 1883.149
transcript.whisperx[9].text 報告事項一,宣讀上次會議議事錄決定確定二,邀請經濟部部長率台灣電力股份有限公司董事長就我國電力能源配比執行現況與未來規劃進行報告.並備質詢。經濟部長郭志輝及台灣電力股份有限公司董事長曾文森報告後,
transcript.whisperx[10].start 1883.649
transcript.whisperx[10].end 1904.334
transcript.whisperx[10].text 委員.帶話等32人提出質詢.均由經濟部.郭部長及相關人員即席答覆決定.登記發言委員.處不在場.走在區域.均與發言完畢.詢答結束二委員.民事明.陳冠廷.王宏維及傅坤祺.所提書面質詢列入紀錄刊登公報三書面質詢案未及答覆部分.請相關單位與一周內以書面答覆並複製總會散會宣讀完畢
transcript.whisperx[11].start 1915.47
transcript.whisperx[11].end 1917.791
transcript.whisperx[11].text 再層委員.不足3人.議事錄暫時不處理繼續進行報告事項.請宣讀
transcript.whisperx[12].start 1939.875
transcript.whisperx[12].end 1958.165
transcript.whisperx[12].text 本日議程排定.農業部對於立法院決議提高公糧收購價格之評估與執行方案.進行報告.並備質詢。我們先介紹在場的委員林黛嬅委員好再來介紹與會的各位首長還有張家俊委員好謝謝
transcript.whisperx[13].start 1966.343
transcript.whisperx[13].end 1967.484
transcript.whisperx[13].text 請問各位同仁上次會議議事錄有無錯誤?
transcript.whisperx[14].start 1997.48
transcript.whisperx[14].end 1999.021
transcript.whisperx[14].text 主席、各位委員今天奉邀到
transcript.whisperx[15].start 2025.831
transcript.whisperx[15].end 2045.347
transcript.whisperx[15].text 我們立法院的經濟委員會來報告有關於農業部對於立法院決議提高公糧收購價格之評估與執行報告首先還是感謝我們所有委員長期對我們農業的支持那以下我們用簡報的方式跟委員做相關的一個評估跟執行方案的一個說明
transcript.whisperx[16].start 2056.066
transcript.whisperx[16].end 2072.093
transcript.whisperx[16].text 公糧的一個收購它是事實上它是從63年起到163年之間經歷的12次收購的一個調整那最近的一次的調整是在100年的一個調整那當時提高了公糧的價格是每公斤3塊錢並補助烘乾費等2塊錢每公斤
transcript.whisperx[17].start 2076.095
transcript.whisperx[17].end 2093.301
transcript.whisperx[17].text 那整個稻作的面積在99年度99年大概24.4萬公頃那增加到103年達到27萬公頃那並持續的維持這個27萬公頃多年齁那期間會有一些一些變化最主要變化就是因為
transcript.whisperx[18].start 2094.663
transcript.whisperx[18].end 2119.594
transcript.whisperx[18].text 有一些天肉異常那平均超產是20萬公噸那公糧的收購由99年的19.2萬公噸暴升到108年的57.5萬公噸那政府在公糧的一個收購的一個支出大概每年大概都差不多平均到100億左右那從91年開始我們加入WTO以後開放稻米進口那但是
transcript.whisperx[19].start 2121.021
transcript.whisperx[19].end 2146.855
transcript.whisperx[19].text 我們國人的飲食習慣也開始做了一些改變每人每年的百米消費量從60年代的130公斤一直降到我們今年43公斤表示說每人每年10米的一個需求大概只剩下43公斤但是因為公糧價格的誘因我們種植面積一直沒辦法有效的控制所以
transcript.whisperx[20].start 2147.475
transcript.whisperx[20].end 2152.595
transcript.whisperx[20].text 到目前為止,我們的稻穀的生產還是供給大於它的需求
transcript.whisperx[21].start 2156.693
transcript.whisperx[21].end 2181.766
transcript.whisperx[21].text 所以我們在農業部在處理整個怎麼樣去精進稻米政策的時候其實我們有一個非常重要的一個目標就是我們一定要確保農民的收益但是在確保農民的收益的時候我們也要讓我們的產業持續的精進讓我們的產業不斷的進步永續的發展所以在這個基本的目標的前提之下大概有兩個策略可以去處理第一個就是提高公糧的價格
transcript.whisperx[22].start 2182.694
transcript.whisperx[22].end 2200.905
transcript.whisperx[22].text 第二個部分就是提高產地的價格那底下就用兩個方式來跟各位來一個說明那我先說一下現在目前稻穀收購的一個方式那整個現在目前的一個稻穀收購大概30%的數量是繳交到公糧
transcript.whisperx[23].start 2201.866
transcript.whisperx[23].end 2230.404
transcript.whisperx[23].text 那另外70%的數量是由民糧來收或者是用集團產區契作來收那繳交公糧的這些稻農的一個習性那因為基本上繳公糧他是不分品質的他是不分品質的他是只管數量所以相對的就是種稻的農民比較偏好固定的一個品種然後產量比較高的一個品種那相對的他
transcript.whisperx[24].start 2231.946
transcript.whisperx[24].end 2259.238
transcript.whisperx[24].text 這些品種很容易受到最近的氣候變遷造成的一些影響所以相對於遇到天然災害的時候它可能損失也比較大那角膠民糧因為角膠民糧後面的基礎產品它是做品牌為主的所以當我做品牌的時候我會對品質的要求會大於對量的一個要求然後對於生產管理的方式也會比較朝向於合理化跟安全用途的方式來著手
transcript.whisperx[25].start 2259.938
transcript.whisperx[25].end 2279.332
transcript.whisperx[25].text 然後這些民糧本身的一些極端產區的經營主體他也會嘗試不同的品種來因應我們未來的一個氣候變遷的一個影響那如果說我們用下一個表來看的話
transcript.whisperx[26].start 2280.543
transcript.whisperx[26].end 2308.224
transcript.whisperx[26].text 整個繳交公糧的全部百分之百繳交公糧的人大概是2.2萬人那繳交部分繳交公糧的部分大概就是百分之24然後繳交民糧為主的是百分之22那全部不繳公糧的大概有百分之44所以換句話說如果以人數來講全部的到農數大概是22.5萬人那有繳公糧的或是繳部分公糧的
transcript.whisperx[27].start 2310.345
transcript.whisperx[27].end 2319.07
transcript.whisperx[27].text 純粹講公糧大概2.2萬人左右那如果說有跟公糧有接觸有來往的大概是12萬人左右大概是一半,將近一半的人數為主
transcript.whisperx[28].start 2322.981
transcript.whisperx[28].end 2348.972
transcript.whisperx[28].text 我們看這個圖可以看得到整個的一個從100年以後開始我們提高公糧價格以後它的面積就開始逐漸的一個生長但是它反映的我們的產力價格卻到後來到109年到109年的時候就降到923塊就明白台金的部分那如果說我們看它的一個公糧的一個收購可以很明顯的看
transcript.whisperx[29].start 2349.713
transcript.whisperx[29].end 2360.106
transcript.whisperx[29].text 當你的產地價格高的時候那道農就不會繳公糧他就會繳民糧當你的產地價格低的時候那大部分的人就會去繳公糧所以公糧
transcript.whisperx[30].start 2361.44
transcript.whisperx[30].end 2381.463
transcript.whisperx[30].text 跟我們的那個民糧的繳交他會因為產地價格而有不一樣的一個影響那從100年以後我們推的到做試選山然後我們也推的大區輪座等一些政策的優言去確保他的面積在24萬公頃上下的時候那產地價格就不斷的拉上來
transcript.whisperx[31].start 2382.023
transcript.whisperx[31].end 2405.266
transcript.whisperx[31].text 那產地價格拉上來的時候各位可以看到下面的他的公糧只剩下繳交公糧的剩下36萬跟33萬那事實上比107年的54萬跟57萬差很多那從這個數據可以顯示說如果我們支撐了很好的產地價格的時候那相對的大部分的稻農都願意去繳交民糧他就不會進到我們的公糧的系統來
transcript.whisperx[32].start 2408.086
transcript.whisperx[32].end 2426.421
transcript.whisperx[32].text 那另外一個我想數據要跟我們所有委員分享的就是我們的食品量是逐漸的降低那相對的我們的產量也是逐漸的降低那如果各位可以看到一百年的時候一百年的時候因為我們再次提高了公糧的價格的時候它的產量又開始往上拉
transcript.whisperx[33].start 2427.222
transcript.whisperx[33].end 2447.362
transcript.whisperx[33].text 但是我們的10米的消費量繼續的往下跌到大概42.1的去年度的42.1元但是它的產量就逐漸的上來那100年的時候因為我們推動了所謂的稻作試卷和稻卷輪作去有效的去控制面積的時候那產量才可以
transcript.whisperx[34].start 2447.802
transcript.whisperx[34].end 2458.071
transcript.whisperx[34].text 逐漸的回穩往下降所以這些圖表也再次顯現出當你的面積提高的時候你的所有的價格都沒辦法去做一個有效的支撐
transcript.whisperx[35].start 2461.377
transcript.whisperx[35].end 2477.789
transcript.whisperx[35].text 那第三個部分我想要跟各位委員說明的就是公糧價格的提高是只針對繳公糧的這些農民受益他並不利於整個稻米產業的一個發展因為剛才說了所有的稻農他繳數量來講70%是不繳公糧的
transcript.whisperx[36].start 2481.952
transcript.whisperx[36].end 2495.107
transcript.whisperx[36].text 那不繳公糧的話他就不會因為公糧價格提高而受益那更同樣的就是我們現在在推動極端產區因為我們台灣的耕地非常小必須擴大災變面積才有效那
transcript.whisperx[37].start 2496.161
transcript.whisperx[37].end 2516.189
transcript.whisperx[37].text 一旦我們提高了公糧以後那相對的原來在做極端產區以品質為主的這些產區的這些企作戶他就會因為公糧價格提高的誘因他就會轉回去種公糧那相對的未來的這些品牌米的後端的行銷就會造成一些困擾
transcript.whisperx[38].start 2516.989
transcript.whisperx[38].end 2536.503
transcript.whisperx[38].text 那更重要就是其實以農業部來講我們看的是整體的產業那以糧食安全來講我們必須更積極的去針對雜糧的種植去做一個有效的推廣那相對的整個公糧的提高以後它對於其他的產業包括花卉包括雜糧部分它都有
transcript.whisperx[39].start 2537.364
transcript.whisperx[39].end 2538.105
transcript.whisperx[39].text 那第二個部分就是
transcript.whisperx[40].start 2554.062
transcript.whisperx[40].end 2582.43
transcript.whisperx[40].text 全世界到目前為止只有稻米只有台灣有稻米的一個保價收購的部分那相對的提高公糧價格對於水稻以外的產業他並沒有辦法直接受益那相對的公平性特別是我們在做歷史的座談裡面有很多種其他作物的這些品種給我們反應那公糧價格如果提高的時候那相對的這些其他的產業也會希望說如果說這樣子的方式對他們的農業的一個均衡發展是不利的
transcript.whisperx[41].start 2587.495
transcript.whisperx[41].end 2612.825
transcript.whisperx[41].text 所以我想同樣是讓產業進步同樣是讓稻農的所得提高那農業部提出了一個一級二轉三加三的一個政策那這個政策其實最重要還是能夠提高整個稻農整體的一個收益並不部分的然後也能夠兼顧到我們的糧食安全跟我們的整個農業的一個永續發展那在一級的部分我想跟各位委員說明
transcript.whisperx[42].start 2615.814
transcript.whisperx[42].end 2637.225
transcript.whisperx[42].text 一級的部分我們的目標就是我們要種優質的品種我們要高的一個棄作價格然後包括我們的一個存糧也是要高的部分所以整個政策目的大概分為三個部分第一個部分就是我們透過集團的經營由小面積變成大面積的耕種的話它會減少它的生產成本然後從引導農民從重視產量
transcript.whisperx[43].start 2641.308
transcript.whisperx[43].end 2654.838
transcript.whisperx[43].text 轉向重視稻米品質的一個提升那第二部分就是種植優質特色的產品的話我們可以提高適當的一個砌作價格那第三個部分用這種方式來維持稻作的一個基本面積大概就是24萬公頃那
transcript.whisperx[44].start 2663.752
transcript.whisperx[44].end 2683.666
transcript.whisperx[44].text 那怎麼樣加入極端產區呢?這邊做一個非常簡單的介紹極端產區就是有一個極端的經營主體那經營主體會跟農民契作那契作以後因為他要做後面的品牌的行銷那相對的他會在前端會去引導農民怎麼樣做有合理化的思維跟合理化的用藥
transcript.whisperx[45].start 2684.686
transcript.whisperx[45].end 2710.566
transcript.whisperx[45].text 讓他的農藥跟肥料做精準的使用那相對的他的品質是因為比較好那他也可以做一個後段的一個品牌米的一個的一個行銷那透過品牌米讓我們的良質米的價格用優良的品質去提升他的一個一個收益那目前我想大概整個集團產區是大概是三萬五千公斤那我們會持續的努力去做推動
transcript.whisperx[46].start 2714.226
transcript.whisperx[46].end 2722.2
transcript.whisperx[46].text 那一級的部分對農民到底有什麼誘因嗎?我們這邊設計的就是如果我們農民願意轉向集團栽培那轉向集團栽培的時候
transcript.whisperx[47].start 2726.012
transcript.whisperx[47].end 2752.194
transcript.whisperx[47].text 第一個就是我們會給予農友大概每公頃一萬塊的一個獎勵的一個獎勵措施那如果說他願意配合極端產區的經營主體去轉成品質比較好的米的話我們另外給他三千兩百塊的一個獎勵金所以換句話說你參加農民參加一級的話大概可以一個期座可以領一萬三千兩百塊的部分那同樣的我們也鼓勵的契作
transcript.whisperx[48].start 2753.191
transcript.whisperx[48].end 2764.08
transcript.whisperx[48].text 的經營主體讓企作的經營主體比較有大的能量去跟我們的農民做比較好的價格的企作那如果說採用優質的產品優質的品種種植的時候
transcript.whisperx[49].start 2772.779
transcript.whisperx[49].end 2785.389
transcript.whisperx[49].text 大概整個的一個集團的契作至少是26塊半比我們現在的公糧價格是26塊還高0.5塊所以換句話說農民只要用U值的米做集團產集團經營那邊加入的集團產區
transcript.whisperx[50].start 2788.872
transcript.whisperx[50].end 2814.787
transcript.whisperx[50].text 他的價格就是每公斤就可以達到26.5塊的這樣的一個要求那這樣的話不但可以增加他的收入也可以保障他的提高因為他是用企作的方式來做一個收購然後讓我們的整個米也能夠朝向更優質的方向去去著手所以換句話說如果原申報的農民他轉集團產區然後種優質的稻米的話大概可以多領了一萬三千兩百塊
transcript.whisperx[51].start 2817.213
transcript.whisperx[51].end 2822.491
transcript.whisperx[51].text 第二個部分是二轉那二轉大概有兩個部分要向各位委員說明的
transcript.whisperx[52].start 2825.714
transcript.whisperx[52].end 2850.702
transcript.whisperx[52].text 我們整個二轉的目的就是在我們現在的地層下限區高鐵沿線、雲林湖北高鐵沿線的地層下限區還有我們大區輪座的一個水資源的共同應用區裡面易缺水的水庫灌區裡面我們去推動這樣的一個二轉的措施那二轉的措施裡面大概一起做的部分大概就是我們的水庫的灌區裡面特別是
transcript.whisperx[53].start 2851.762
transcript.whisperx[53].end 2870.684
transcript.whisperx[53].text 大區輪作的區域那另外一個區域就是高鐵沿線的部分包括湖北土庫延展跟北港境內的這些高鐵沿線的部分那這是整個過去我想我們過去3年大概有做了一些大區輪作的一個輪法那這個輪法未來還是會繼續去做一個相關的一個實施
transcript.whisperx[54].start 2873.032
transcript.whisperx[54].end 2894.911
transcript.whisperx[54].text 那在一期做,你如果在一缺水的灌區裡面的話,我們會提供節水獎勵,那這個節水獎勵大概就是3萬塊那你如果說,你如果說配合這些綠肥景觀作物的翻耕的話,你的節水獎勵可以達到4.2元每一公頃4.2萬的部分,那如果說你同時也搭配了轉做其他作物的話,你又多了
transcript.whisperx[55].start 2895.652
transcript.whisperx[55].end 2895.672
transcript.whisperx[55].text 致詢
transcript.whisperx[56].start 2913.339
transcript.whisperx[56].end 2940.317
transcript.whisperx[56].text 高鐵沿線的特區的部分那它的節水獎勵更會提高到五萬塊因為高鐵沿線的地震下線對於整個交通的安全會有隱憂所以我們近年來一直積極在高鐵沿線推動這些轉焊座的這些部分所以相對的你如果轉焊座的部分的時候那相對的你的節水獎勵會提高到五萬塊那你如果說同樣是搭配我們的集團栽培那你會再增加0.5萬塊的就是換句話說是5.5萬的一個獎勵
transcript.whisperx[57].start 2945.78
transcript.whisperx[57].end 2964.747
transcript.whisperx[57].text 那第二期的部分就比較特別了因為第二期本來水稻的成本也比較高它的收益也比較低所以我們這邊提供了一個你如果二期做的一個不重道的一個獎勵是每一公頃1.5萬元那你不重道的時候你去轉其他的作物那其他的作物搭配我們現在的政策
transcript.whisperx[58].start 2965.427
transcript.whisperx[58].end 2986.596
transcript.whisperx[58].text 就是你如果轉 像你轉育民的話你可以得到6萬元的獎勵那你如果做小麥高粱的部分可以得到4.5萬元的獎勵那我們希望說透過這樣的一個不重道的獎勵1.5萬再搭配我的企作獎勵是0.5萬那至少你可以增加2萬塊的一個收入那整體來講整個的一個效益是4.5萬到8萬左右
transcript.whisperx[59].start 2990.793
transcript.whisperx[59].end 2997.872
transcript.whisperx[59].text 整個營運主體當然我們也會配套給他相關的這些面積的一個獎勵跟他的一個補助還有一個金融的一個協助
transcript.whisperx[60].start 2999.568
transcript.whisperx[60].end 3026.378
transcript.whisperx[60].text 那3加3大概有幾個重點那第一個重點就是我們會提高水稻異物質加強性保險的理賠金額我們會把他的目標價格至少提高3塊讓他在理賠的時候能夠至少每一公斤可以多3塊的這種概念就是目標價格能夠提高3塊當你的天然災害發生的時候你會得到更有收入的一個保障那第二個部分就是我們會推動市場採購
transcript.whisperx[61].start 3028.021
transcript.whisperx[61].end 3043.726
transcript.whisperx[61].text 我們剛才講的其實我們推動一級二轉三加三的目的就是要支撐我們的產地的價格因為只有產地的價格提升才能夠照顧所有的稻農那當你的產地價格有一些波動的時候那我們就會到市場那邊做採購的動作
transcript.whisperx[62].start 3045.627
transcript.whisperx[62].end 3069.785
transcript.whisperx[62].text 那採購的動作的時候就會讓我的產地價格得到一個適當的支撐而這個適當的支撐比起我把這些經費用在公糧的提高價格只能受到部分的農民受益的情況之下會更有效率的對整體的產業做一個支撐然後另外我們也會推廣多元的米食跟加工的一個部分
transcript.whisperx[63].start 3072.064
transcript.whisperx[63].end 3079.645
transcript.whisperx[63].text 這是剛才我所提到的就是目標價格提高然後相對的就是整個市場採購的部分然後另外還有一個米斯的一個推廣
transcript.whisperx[64].start 3082.725
transcript.whisperx[64].end 3105.318
transcript.whisperx[64].text 那整體我想我們做一個比較就是說我想主決議裡面有提高公糧價格5塊錢那相對的我們希望說同樣在照顧稻農的前提之下我們推出了一級二轉3加3的一個稻米產業升級的策略我們從幾個面向做一個比較第一個面向是從總受益人數來做比較那剛才也說了
transcript.whisperx[65].start 3106.278
transcript.whisperx[65].end 3129.47
transcript.whisperx[65].text 提高公糧收購只有2.2萬人是全部繳公糧的那另外繳50%的公糧以上的大概5.4萬人沒有超過50%的4.9萬人那總計起來大概是12萬人但是一級二轉三加三最後支撐的是產地的價格那產地的價格支撐是所有的22.5萬人的動農全體受益的那在預算的支出方面來講
transcript.whisperx[66].start 3130.45
transcript.whisperx[66].end 3144.185
transcript.whisperx[66].text 那如果說提高5塊錢的時候預計面積會增加到27到28萬公頃那相關所增加的經費大概是91億到116億那如果說用一級二轉三加三大概所用的經費大概是16.5億元那整個經費
transcript.whisperx[67].start 3147.389
transcript.whisperx[67].end 3176.969
transcript.whisperx[67].text 因為公糧還有原來在收購的公糧所以整個經費對公糧的一個經費大概是178億到200億左右光公糧的收購這件事情那如果說用我們的一級二轉參加參的話就會維持原來的公糧收購的水準然後再加上16.5億就是112億那第二個第三個部分是增加風險的部分剛才也特別中整一下就是產地糧價的提升整個短多長工的部分公糧的提升就是短多長工
transcript.whisperx[68].start 3179.491
transcript.whisperx[68].end 3191.244
transcript.whisperx[68].text 臺灣因為公糧價格提高的面積提高了造成後續的疲軟那相對的公糧價格提升很容易造成一些後端市場的百米的價格的一個衝擊那
transcript.whisperx[69].start 3193.393
transcript.whisperx[69].end 3218.079
transcript.whisperx[69].text 第4個部分剛才也講了這些極端產區品牌的這些部分都沒有辦法照顧到那同樣的我們用一級二轉三加蛋的部分我們可以逐步擴大我們的極端產區栽培然後讓農友從量改變到值的一個確保然後提升整個轉焊桌的一個誘因這是我想我們做整體的一個分析那在這邊我也要跟各位做一個報告其實
transcript.whisperx[70].start 3220.243
transcript.whisperx[70].end 3246.741
transcript.whisperx[70].text 農業部政府部門對於稻作產業這些稻農其實有每一年都投入相當大的經費去做它的一個支持然後我們也檢視了從111年到113年平均我們針對稻農大概每一年大概公糧價格不算的話就是投入了156億的經費去支持稻農的相關的這些作為包括環境基本給付、休耕轉作、收入保險
transcript.whisperx[71].start 3247.381
transcript.whisperx[71].end 3247.401
transcript.whisperx[71].text 致詞
transcript.whisperx[72].start 3263.646
transcript.whisperx[72].end 3281.547
transcript.whisperx[72].text 我們希望用一級二轉三家餐的方式來推動那相關的參與這樣的一個政策的話你每年每期做兩年的話大概可以提到三到六萬元然後如果說你是轉漢做的部分大概可以從一萬到六萬元不等
transcript.whisperx[73].start 3282.168
transcript.whisperx[73].end 3282.569
transcript.whisperx[73].text 以上報告
transcript.whisperx[74].start 3302.267
transcript.whisperx[74].end 3304.528
transcript.whisperx[74].text 主席我想請陳部長請陳部長
transcript.whisperx[75].start 3326.92
transcript.whisperx[75].end 3330.745
transcript.whisperx[75].text 部長 我們等一下再來討論這個公糧收購我想先問你 農業部與教育部共同推動全台灣2600所這個國小133.5萬名學童單班喝鮮乳的政策
transcript.whisperx[76].start 3344.524
transcript.whisperx[76].end 3365.834
transcript.whisperx[76].text 結果呢因為政策上路 農業部教育部對供應鏈好像是非常的陌生只依靠想像導致有高達75%的學校都選擇喝飽酒乳那變成是斑斑喝飽酒乳這樣子就算了一直到9月底
transcript.whisperx[77].start 3366.314
transcript.whisperx[77].end 3374.857
transcript.whisperx[77].text 開學一個月了才有學校喝到第一次多數縣市的學童連一次都沒有喝到部長你怎麼看這件事?
transcript.whisperx[78].start 3381.96
transcript.whisperx[78].end 3387.401
transcript.whisperx[78].text 你不覺得這很誇張嗎?你們在執行這些政策之前都沒有想過它整個供應鏈要怎麼樣可以適時的供應給學校嗎?誇張的是保酒乳也因為這個生產供應不足下單了也沒有貨可以配送因此整個政策最荒唐的一幕終於出現了農業部怎麼講?
transcript.whisperx[79].start 3410.586
transcript.whisperx[79].end 3426.671
transcript.whisperx[79].text 你們說訂不到保酒乳可以訂鮮乳啊?不是我想部長你會不會覺得這一幕很荒唐?我想整個的一個牛奶的供應品項大概有鮮乳跟保酒乳那相對的更不要說因為這個政策還排擠到了羊奶現在羊奶業者叫苦連天所有的羊奶落農叫苦連天
transcript.whisperx[80].start 3432.193
transcript.whisperx[80].end 3435.134
transcript.whisperx[80].text 我非常的不能理解說農業部說為什麼不訂鮮奶只差沒有說何不食肉糜啊這真的是充分的宣示了什麼叫做昆庸學校為什麼要選擇煲酒爐就是因為冷鏈沒有跟上腳步啊
transcript.whisperx[81].start 3450.962
transcript.whisperx[81].end 3454.946
transcript.whisperx[81].text 為什麼無法選擇鮮乳因為我們這個農業部說阿里山都有超商了一定可以喝到鮮奶配送絕對不是問題顯見農業部對於乳品的供應鏈非常的陌生這不是你主管的嗎
transcript.whisperx[82].start 3467.697
transcript.whisperx[82].end 3482.008
transcript.whisperx[82].text 怎麼會超商跟學校能比嗎?數量能比嗎?人數能比嗎?這不是說超商可以學校就可以所以喔本席比重我沒有說過這樣的話超商可以學校就可以喔這第一個我在這裡語重心長的告訴部長就是說斑斑有鮮乳的政策會出這麼多的問題最大的原因是什麼?我想你可能也不能理解
transcript.whisperx[83].start 3493.416
transcript.whisperx[83].end 3499.359
transcript.whisperx[83].text 最大的原因就是缺乏橫向溝通你們跟教育部溝通不足嘛你們跟學校溝通不足嘛而且是一意孤行規劃這個政策只坐在辦公室想像結果跟現實完全脫節才會遇到這麼多困難啊
transcript.whisperx[84].start 3510.365
transcript.whisperx[84].end 3528.324
transcript.whisperx[84].text 我想我們現在目前還是希望說每個學校都能夠學生都能夠喝到我們的牛奶為目標然後我們會積極的跟乳廠去做溝通能夠提高另外一個問題你這個政策落實只有大乳廠可以供應你真正要為了要照顧這個紐西蘭
transcript.whisperx[85].start 3530.826
transcript.whisperx[85].end 3531.907
transcript.whisperx[85].text 我想我要跟委員講齁
transcript.whisperx[86].start 3551.135
transcript.whisperx[86].end 3554.818
transcript.whisperx[86].text 我跟妳報告,羊乳的部分我們已經有跟我們現在羊乳的協會在做一個溝通那羊乳有,因為羊乳大概一年只能供應大概一萬
transcript.whisperx[87].start 3576.295
transcript.whisperx[87].end 3583.438
transcript.whisperx[87].text 一萬一萬噸左右那一萬噸的部分他沒有辦法全部所以我們會針對羊乳的部分去推動到其他的一個這很好這很好但是本席要提醒農業部的是任何的政策絕對不能靠想像尤其是這個公糧收購價格我們在討論公糧收購價格你一整本都在講一級二轉三加三我根本不想再吐槽你了你的二轉實施多少年了
transcript.whisperx[88].start 3605.687
transcript.whisperx[88].end 3610.891
transcript.whisperx[88].text 10年了你今天還在告訴我說這個事情是要拿來取代公糧收購價格提高本來的黃金郎道你換一個名字說大輪座就是二轉如果假設這個二轉是可以取代公糧收購制度的話本席也支持你啊問題是你的一級二轉三加三就是新瓶裝舊酒
transcript.whisperx[89].start 3628.163
transcript.whisperx[89].end 3629.544
transcript.whisperx[89].text 我看所有的政策都是在現行的政策之下滾動去檢討 滾動去精進的所以我希望你們能夠支持
transcript.whisperx[90].start 3651.111
transcript.whisperx[90].end 3657.997
transcript.whisperx[90].text 這麼有信心的話你能不能掛保證說一年沒有漲一塊你要下台你有沒有辦法為你的政策負責但是你就是沒有信心嘛你把農民當實驗品我告訴你說跟班喝鮮乳沒有落實只是學童喝不到鮮乳但是你的公糧收購價格因編不編影響了整個總預算你也不痛不癢嘛
transcript.whisperx[91].start 3679.733
transcript.whisperx[91].end 3685.939
transcript.whisperx[91].text 所以現在是整個行政院都在演嗎他們根本不在乎總預算嘛如果假設卓院長在乎總預算的話會放任你每天都來報告一級二轉三加三不來報告公糧收購價格提高嗎我們一級二轉三加三已經在地方推動了大概將近二十幾場了
transcript.whisperx[92].start 3697.449
transcript.whisperx[92].end 3702.371
transcript.whisperx[92].text 我告訴你一堆農民你這個政策跟你斑斑喝鮮乳一樣都是照顧大農不照顧小農我現在跟你講的是小農老農需要照顧我告訴你國治會部長他至少敢講要是拿了補助台電再漲電價的話他就要走人你呢
transcript.whisperx[93].start 3722.62
transcript.whisperx[93].end 3725.602
transcript.whisperx[93].text 你敢不敢為你的政策負責?你每天在講的這個一級二轉三加三你敢為你的政策負責嗎?我本席啊在這裡在告訴你就是說一級二轉三加三這件事情就是一個實驗
transcript.whisperx[94].start 3738.829
transcript.whisperx[94].end 3762.324
transcript.whisperx[94].text 跟斑斑喝鮮乳一樣 我想我們的政策不是用實驗的方式去處理你就是在做實驗嘛你沒有辦法掛保證說他一定一年會長一代你沒有辦法落實照顧到農民我本期建議你並行並行不是告訴你說一級二轉三加三不好是應該一邊照顧農民一邊做這個實驗因為公糧收購一提高了之後你的機關的農民就會互相干擾
transcript.whisperx[95].start 3764.445
transcript.whisperx[95].end 3765.746
transcript.whisperx[95].text 為什麼要為了農業部卡死了整個政府的總預算行政院是什麼態度行政院有沒有告訴你說你要積極的溝通你要積極的調整
transcript.whisperx[96].start 3793.223
transcript.whisperx[96].end 3818.036
transcript.whisperx[96].text 如果沒有的話那行政院到目前為止說他多在乎總預算都是在演戲嘛我今天非常感謝召委能夠安排這樣的一個會議我們可以做一個理性的溝通不是委員不審是你們不依法編列你們不依法編列這才是問題的所在啊委員主決議提高公糧最主要的目的就是提高稻農所得我們也是朝這個方向來做
transcript.whisperx[97].start 3826.377
transcript.whisperx[97].end 3827.82
transcript.whisperx[97].text 好 請林代化委員質詢有請部長請陳部長
transcript.whisperx[98].start 3838.052
transcript.whisperx[98].end 3840.614
transcript.whisperx[98].text 部長在正式質詢之前我想在禮拜一的時候在加拿大有一間飲料公司Boba他正式的道歉他道歉什麼呢是針對我們台灣的珍奶在國際上在創業的節目當中被文化扭曲了而這位漫威演員劉詩牧我們好萊塢的華裔演員他站出來
transcript.whisperx[99].start 3864.189
transcript.whisperx[99].end 3864.469
transcript.whisperx[99].text 我跟委員報告
transcript.whisperx[100].start 3889.24
transcript.whisperx[100].end 3894.885
transcript.whisperx[100].text 農業部絕對支持一級到三級到六級的一個產業也謝謝委員的一個支持
transcript.whisperx[101].start 3909.714
transcript.whisperx[101].end 3909.834
transcript.whisperx[101].text 主席
transcript.whisperx[102].start 3928.224
transcript.whisperx[102].end 3954.666
transcript.whisperx[102].text 這個智慧決策如何根本的解決菜土菜金的問題所以基層農業機構資訊設備老舊不符需求農業部應加速協助更新全面進入農業的AI世代好我這邊有幾個現況在做爬書那農業委員會的這個設備現況是不符合黑I的運用第三個農業多元系統整合跟資訊共用雲端服務的開發
transcript.whisperx[103].start 3955.367
transcript.whisperx[103].end 3971.321
transcript.whisperx[103].text 我講的是非金融的部分第4個面對營收的壓力農會淘汰也就是像太重了就相對的保守本席有一個具體的有些具體的要求好在這個今年的5月29的時候本席也再次提出
transcript.whisperx[104].start 3972.021
transcript.whisperx[104].end 3972.062
transcript.whisperx[104].text 致詢委員
transcript.whisperx[105].start 3995.356
transcript.whisperx[105].end 4003.982
transcript.whisperx[105].text 整個Windows、Windows XP、Windows 7、Windows 8這個時候我們已經這個都停止服務了2014年4月8號、2020、2023到Windows 10還有多少台的這個電腦呢
transcript.whisperx[106].start 4013.009
transcript.whisperx[106].end 4024.817
transcript.whisperx[106].text 1060它是在星期一的時候全面停止了維護日期的好這樣子包括WIN11的我們現在還有427台我現在是針對中南部的141家的農漁會那這樣的結果也就是說75%在農在南部當中75%的電腦資訊是完全漏落問題的
transcript.whisperx[107].start 4036.284
transcript.whisperx[107].end 4053.84
transcript.whisperx[107].text 好那如果今天我要來做更新的話我們Windows 11不需要更新外共有1656部電腦全部要更新我如果用最低等級一台27000這四架大概要花五六千萬但是那個是根本沒有辦法去運
transcript.whisperx[108].start 4054.861
transcript.whisperx[108].end 4055.982
transcript.whisperx[108].text 致早都要符合一台要4萬5這都是立法院的價格
transcript.whisperx[109].start 4069.858
transcript.whisperx[109].end 4073.182
transcript.whisperx[109].text 那這都不包含我這個網路的483台的印表機跟159台的防火牆這我是針對中南部的農業會141家做了盤點所以呢在農業會的資訊設備情況根本不符合AI有6大
transcript.whisperx[110].start 4084.855
transcript.whisperx[110].end 4084.875
transcript.whisperx[110].text
transcript.whisperx[111].start 4103.624
transcript.whisperx[111].end 4108.466
transcript.whisperx[111].text 那為了讓我們的農業決策不是只有我要肯定部長的部分你們確實在我幾次的質詢之後在陳其仲主委的時候包括您當部長我非常肯定你們真的在你們的部本部內開始了這個資訊化的智慧化的一個整個雲端系統的一個整合那我們基層的農漁會呢
transcript.whisperx[112].start 4129.873
transcript.whisperx[112].end 4133.496
transcript.whisperx[112].text 如果我基層的農運會沒有辦法在整個系統朝向高運算的這樣的系統你怎麼勾結在有些相關的我們的這個產銷資訊農業的養殖你怎麼勾結你怎麼掌握我的菜土菜金供需失衡的問題
transcript.whisperx[113].start 4147.848
transcript.whisperx[113].end 4169.038
transcript.whisperx[113].text 今天要推這個農業智慧化就解決這個供需失調的問題我想這個是我一再的講這個如果能夠在陳部長您任內能夠完成我的整個雲端智慧化決策智慧化包括基層農業的這個智慧化我想這是真的是根本的解決我們農漁會的菜土菜金的問題供銷失衡的問題
transcript.whisperx[114].start 4171.179
transcript.whisperx[114].end 4182.748
transcript.whisperx[114].text 這個是我真的是覺得是真的是這是我都覺得這個您在任內是已經不負不負不負人民了好所以在這個大數據當中我要有要智慧化就一定要精準的數據
transcript.whisperx[115].start 4184.463
transcript.whisperx[115].end 4206.15
transcript.whisperx[115].text 所以在這個大數據平台建制雲端服務的平台他至少初期先整合採請流程人事資資新資財產匯集保健老龍健保肥料競銷存這是初步這對我們的相關的這個農業的現況就先做了一個掌握了及電子公文等非金融資訊的部分這
transcript.whisperx[116].start 4207.19
transcript.whisperx[116].end 4235.864
transcript.whisperx[116].text 如果我這個資訊共用架構整個農漁會整合在一塊我就可以不要讓單獨的農漁會去做採購硬體自己去自建機房人力設備的營運成本我不需要一家農會自己去做我是整體的農會而且是跟我農業部整合在一塊的所以在雲端服務平台為基礎可進步藉由各農會掌握農漁民的健康保險的制度覆蓋的人口型態
transcript.whisperx[117].start 4236.744
transcript.whisperx[117].end 4237.844
transcript.whisperx[117].text 這也可以提供這個農業智慧會話所需的資訊
transcript.whisperx[118].start 4265.433
transcript.whisperx[118].end 4275.755
transcript.whisperx[118].text 未來我們希望他也一定是得這樣做整合我大器的資訊養種植的區塊養種植的技術等像例如現在的風災我們全面你可以怎麼樣免勘災這個其實我要肯定部長啊您這個從優從簡重塑的部分您這次是真的我們到你這邊縣市政府到你這邊你隔天就合下去做相關的補助而且免勘災的部分這個本是給你最大的肯定所以像這樣災後的重建我也可以利用大數據的平台
transcript.whisperx[119].start 4295.2
transcript.whisperx[119].end 4316.232
transcript.whisperx[119].text 數據給予農民最快速的協助好那為什麼農會 農運會他不願意投入這樣的成本因為根據農會人事的管理辦法第8條我農會每年的總用人人費人的人事費用是按照上年度的總收益也就是我賺的多我才更多用人
transcript.whisperx[120].start 4316.732
transcript.whisperx[120].end 4319.975
transcript.whisperx[120].text 農運會為了增加人力跟留住人才每年的總收益就很重要如果我花大筆的錢去購買資訊設備我總收益就下降我排擠的人事經費我的競爭力當然下降所以在這本席我也主張在幾次的質詢都主張過
transcript.whisperx[121].start 4339.935
transcript.whisperx[121].end 4349.165
transcript.whisperx[121].text 在針對農業部應該參考加薪負擔限制條文30年沒改了因本席要爭取購農漁會的用人費、薪水各組提高10%這是一個編制表好我這邊具體要求有幾項第一個請農業部參考財團法人農漁會南區資訊中心
transcript.whisperx[122].start 4360.998
transcript.whisperx[122].end 4364.541
transcript.whisperx[122].text 盤點這是他們財團法人盤點你自己總要盤點吧你根據他們的資料下去盤點他們盤點快將近快3到5個月我就記得到快要5個月很認真的盤點所以你們那個農糧署應該有一本厚厚他們的計畫書了中南部農業會的資訊老舊設備並嚴靈補助方案解決農業會的資訊設備所衍生的資安的問題
transcript.whisperx[123].start 4385.64
transcript.whisperx[123].end 4396.246
transcript.whisperx[123].text 第二 農業部嚴理農業會資訊系統共用平台發展的計畫.那此相關的資料能互動有效提升農業會的經營效能第三 請農業部省慎評估農業人士的管理辦法.爭取各農業會的用人費.薪水各組提高10%那部長你怎麼看
transcript.whisperx[124].start 4409.727
transcript.whisperx[124].end 4428.463
transcript.whisperx[124].text 非常簡要的回答委員的一些要求第一個部分就是農業部在推動農業的數位服務裡面那非常感謝委員這樣的一個規劃跟提示那我們大概分為兩個部分一個是硬體的部分一個是軟體的部分那硬體的部分要包括資訊中心
transcript.whisperx[125].start 4429.804
transcript.whisperx[125].end 4429.944
transcript.whisperx[125].text 這我也認同
transcript.whisperx[126].start 4446.375
transcript.whisperx[126].end 4451.817
transcript.whisperx[126].text 我認同,但是你一定要全面性,不要那種計劃型你只要就針對我141家整個中南部所有的農業會我沒有意見,但是至少我南部的部分已經做好準備了
transcript.whisperx[127].start 4462.281
transcript.whisperx[127].end 4481.727
transcript.whisperx[127].text 部長我已經做好準備了沒有人我花了快到3到5個月不等另外有一些像印表機等他不是用買用租的反而會更有效率所以這個我們會跟他們溝通但是你支不支持這樣的計畫我們容易會多元系統的整合跟資訊共享你支持嗎一個月提出來好嗎一個月來回覆我針對我本席今天所執行的部分好謝謝
transcript.whisperx[128].start 4495.239
transcript.whisperx[128].end 4495.739
transcript.whisperx[128].text 請求議員委員諮詢請陳部長
transcript.whisperx[129].start 4518.773
transcript.whisperx[129].end 4536.571
transcript.whisperx[129].text 委員好部長好部長我想今天這個召委再度排定讓您來報告這個有關公糧收購價格提高這件事情那我記得當時上個會期結束前在立法院表決的時候我是代表民進黨黨團上來發言
transcript.whisperx[130].start 4539.033
transcript.whisperx[130].end 4557.547
transcript.whisperx[130].text 原則上我是反對公糧收購價格提高,現在的公糧,這個部長我想請教一下,今年的公糧種植面積是多少?跟去年相比起來?大概24萬公頃左右,比去年多1萬多公頃
transcript.whisperx[131].start 4560.649
transcript.whisperx[131].end 4560.669
transcript.whisperx[131].text 來 這個部長
transcript.whisperx[132].start 4590.206
transcript.whisperx[132].end 4593.86
transcript.whisperx[132].text 糧食自給率已經創下新低,您同意吧?
transcript.whisperx[133].start 4595.827
transcript.whisperx[133].end 4622.945
transcript.whisperx[133].text 吃稻米的這個量也是歷史上的新低吃蔬菜的量也是歷史上的新低反而現在大家吃了很多的肉類所以台灣的稻米產量過剩這個是不爭的事實我們的吃米的量其實是非常少再加上種植公糧所以你每年會產生大量的純糧
transcript.whisperx[134].start 4625.186
transcript.whisperx[134].end 4642.157
transcript.whisperx[134].text 每年大概20萬公噸基本最少那好玩的來囉全球都在缺米結果台灣的稻米產量是過剩日本大缺米日本在鬧白米荒他的庫存量是17年來最低
transcript.whisperx[135].start 4643.536
transcript.whisperx[135].end 4659.107
transcript.whisperx[135].text 市長有沒有想過我們現在一直講說我們的水果可以外銷日本外銷到其他的國家去如果台灣的糧食問題台灣的米糧的存貨是多的話有沒有可能我們來鼓勵農民
transcript.whisperx[136].start 4661.209
transcript.whisperx[136].end 4662.05
transcript.whisperx[136].text 如果這個誘因再給他提高
transcript.whisperx[137].start 4676.939
transcript.whisperx[137].end 4697.775
transcript.whisperx[137].text 讓更多人願意去種植優質米讓更多人願意把這樣的好的台灣米銷到世界各國去甚至當比較久的這些所謂的公糧米你如果能夠送到開發中的國家去或者是有一些需要物資救援的國家去你其實可以做好事不用說30塊20幾塊買來的公糧把他打造齊了10塊又賣不出去
transcript.whisperx[138].start 4702.83
transcript.whisperx[138].end 4721.997
transcript.whisperx[138].text 部長您同意我的建議嗎?我想謝謝委員的提醒跟指正我想分兩個部分公糧的部分我們盡可能的不要讓它變成飼料米所以我們會針對一些原住的或是其他的部分第二個部分就是您剛才講的很重要的一點就是稻米其實也是可以外銷的
transcript.whisperx[139].start 4722.637
transcript.whisperx[139].end 4732.783
transcript.whisperx[139].text 但是外銷一定要有比較好的一個品牌跟品質這是非常重要的所以我才一直強調我們的優質米比如說我們的美濃147米時尚米等等台灣優質的米我們的這個農改所裡頭大家這個專家研發出來好的這些稻米我覺得就趁這個機會把它推銷出去嘛我們不用一直在這裡講說哎呀公糧收購公糧的價格要提高多少其實我們是應該鼓勵優質的
transcript.whisperx[140].start 4754.938
transcript.whisperx[140].end 4770.613
transcript.whisperx[140].text 我非常同意我們的政策目標也是讓農民變成從量的重視變成質的重視這樣的話後續的品牌米跟U值的米才能夠有機會不只是供應給國內的也可以外交到其他的國家
transcript.whisperx[141].start 4771.013
transcript.whisperx[141].end 4797.271
transcript.whisperx[141].text 所以如果公糧的收購價格不提高我覺得你從另外一個方式去下手讓更多的農民受惠我覺得農業部要一直不斷的去讓大家知道現在一直在講公糧的收購價格提高公糧的收購價格提高5塊錢你受益的人數大概了不起12萬是占全體農民49萬50萬裡頭只有占大概
transcript.whisperx[142].start 4801.313
transcript.whisperx[142].end 4817.606
transcript.whisperx[142].text 五分之一只有12萬人受益但是你的預算增加要增加91億到116億這個是看你的種植面積你必須增加這麼多的預算那你現在推的所謂的一級二轉3加3
transcript.whisperx[143].start 4818.627
transcript.whisperx[143].end 4821.749
transcript.whisperx[143].text 你可以受惠到22.5萬的稻農,但是你只要花16.5億,就可以讓22萬的稻農都受到幫助。
transcript.whisperx[144].start 4834.574
transcript.whisperx[144].end 4859.577
transcript.whisperx[144].text 我不知道這個計算為什麼大家會聽不懂然後剛剛有很多的委員或者是說等一下可能國民黨的委員還會再上來問你我想要請教雲林嘉義種植的雜糧雜糧的價格幾年沒調整了雜糧的農民要不要要不要照顧他們不敢提這一塊台中彰化的花卉花農要不要照顧不敢提這一塊
transcript.whisperx[145].start 4860.658
transcript.whisperx[145].end 4870.764
transcript.whisperx[145].text 你只把全部的錢都放在公糧收購5塊錢,但是得到好處是誰?糧商、帶耕業者、肥料業者。農民真的有收到好處嗎?沒有啊。你的公糧收購價格多5塊錢。
transcript.whisperx[146].start 4880.513
transcript.whisperx[146].end 4907.114
transcript.whisperx[146].text 帶耕業者的帶耕成本就會增加工錢就會增加嘛肥料就會增加嘛你所有的人工成本都會增加嘛但是你實際的農民你有沒有拿到多身家的錢沒有耶所以我覺得這個觀念的轉變齁其實是很重要的我們如何讓最小的預算花下去能夠照顧最多的農民這個才是政府應該要做的事情不是嗎你要花116億結果只有照顧12萬人
transcript.whisperx[147].start 4909.215
transcript.whisperx[147].end 4926.862
transcript.whisperx[147].text 這12萬人還不見得是他們真的拿到錢你花了16.5億你可以照顧到22.5萬的人然後你還可以增加台灣的糧食自給率你還可以讓台灣的優質稻米輸出你還可以增加台灣的好民生甚至創造台灣的外匯
transcript.whisperx[148].start 4929.095
transcript.whisperx[148].end 4949.984
transcript.whisperx[148].text 所以我不太懂得他們是怎麼計算所以我是公開反對公糧收購價格還要再增加5塊那我也公開反對要利用這樣子去綁架政府的總預算甚至綁架所有的農業預算如果口口聲聲說照顧農民的話你更不應該綁架這個預算
transcript.whisperx[149].start 4951.765
transcript.whisperx[149].end 4971.852
transcript.whisperx[149].text 部長這一題我跟您討論到這邊接下來我要跟您討論到國土計劃法上次我們討論到這個農業部要推所謂的堆疊式的給付政策你們原來講說9月的時候就要公布這個堆疊式的給付內容可是到現在10月了還沒有看到是不是在中間有遇到什麼問題可不可以請部長說明一下
transcript.whisperx[150].start 4972.557
transcript.whisperx[150].end 4995.833
transcript.whisperx[150].text 我跟委員報告,事實上我們在對賊是己夫的部分在內部已經規劃好了那規劃好我們會預計會在這個月就開始會對外的去做一些座談跟溝通我們不希望說我們設計完了以後就去做說明,我們希望說在溝通的過程中有哪一些先到地方上去做說明,先到地方上去做說明,然後聽取一些意見再做調整
transcript.whisperx[151].start 4997.054
transcript.whisperx[151].end 5020.037
transcript.whisperx[151].text 我們已經有了初步的一個規劃了所以我們近期就會啟動這樣的一個方式那你的這個所謂的堆疊式補助他應該不會是跟國土計畫法綁在一起的吧對他應該是假如說你的整體規劃完成他是可行的是不是應該會是在國土計畫法上路之前就開始對於農地有做這樣子的堆疊式的補助
transcript.whisperx[152].start 5020.578
transcript.whisperx[152].end 5020.758
transcript.whisperx[152].text 請張棋凱委員質詢
transcript.whisperx[153].start 5077.523
transcript.whisperx[153].end 5090.651
transcript.whisperx[153].text 請農業部長請陳部長委員好今天在討論公糧這個價格已經13年沒有調整我先問你一個軍工價包括你這13年你調薪調了幾次我沒有去算
transcript.whisperx[154].start 5102.728
transcript.whisperx[154].end 5126.414
transcript.whisperx[154].text 加薪加到都幾次都自己不曉得啊農民13年一次都沒有不會太可憐嗎我想公糧是目前全世界唯一有公糧保障價格的收入對啊你之前有這個他相對的他不是一個因為你只調公糧的時候那對其他的產業他是不公平的其他可以一起照顧啊主席我先問你問清楚你知道嗎你這13年農民一毛不拔的時候
transcript.whisperx[155].start 5130.117
transcript.whisperx[155].end 5154.582
transcript.whisperx[155].text 你已經調薪調了4次你明年1月1號你要調薪對不對你明年要調13年來的第5次農民情何以堪你是農業部長農業部所有的官員你不是應該照顧農民嗎你們自己加了5次加了17%喔你們好意思你們臉都不會紅燒農民的公糧收購一碼錢都不要增加
transcript.whisperx[156].start 5155.762
transcript.whisperx[156].end 5171.334
transcript.whisperx[156].text 好意思嗎?我在跟你講,部長,不是只有你們的薪水問題基本工資,農民也是要請人工,對不對?基本工資,13年,調了12次上漲了43%這個要調跟物價有關係嘛,對不對?農民也是人啊,也要過一季啊物價調了多少?
transcript.whisperx[157].start 5183.189
transcript.whisperx[157].end 5208.876
transcript.whisperx[157].text 價值數上漲至少15% 農作業成本最少15% 因為你的薪水到德國的薪水 基本工資到物價為什麼不幫農民呢 農民要給他們賺錢你現在變成一個怎麼樣 保證來 我跟你講 現在我去電話跟你們講 民間是生的啦民間是生的 人家現在有問兩個問題嘛 你自己丟 為什麼你沒丟 但是 你知道嗎 吃米不知道米多少齁
transcript.whisperx[158].start 5213.362
transcript.whisperx[158].end 5219.049
transcript.whisperx[158].text 你現在說不夠農民的思維是不是?我問你一下,你懂嗎?你懂嗎?來,我問你,農民叫我問你的啦,否定?你什麼農民現在很丟臉,一分錢可以賺多少錢?
transcript.whisperx[159].start 5228.627
transcript.whisperx[159].end 5240.433
transcript.whisperx[159].text 一公斤一公斤差不多6到8萬6到8萬左右好一點的話7萬到8萬二期做的話大概4到6萬你不要看他的看你自己農業部的下面的資料是你農業部的你農糧食的資料喔
transcript.whisperx[160].start 5257.845
transcript.whisperx[160].end 5282.178
transcript.whisperx[160].text 一公頃實際能夠生產的你甘股一分地能夠生產的錢多少?一百一千一百二十二塊而已如果大部分的農民現在是租地對不對有沒有?把租地放進去你看喔我現在給你看的時候都怕被租了喔不然你自己看喔把租地的成本再放進去一公頃如果是兩萬四的話一公頃喔
transcript.whisperx[161].start 5283.644
transcript.whisperx[161].end 5305.939
transcript.whisperx[161].text 農民辛辛苦苦 種一期 今年一期的稻作一公頃 你看身分要多多少 你看15萬 你先看 你先看 你先聽我講 這是你農業部的資料啦不是 他的那個實際生產成本已經包括了租地已經放進去了對啊 不然對啊阿這邊你又加了一個租地 重複加了什麼重複加 這是你農業部的 農業部的聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽
transcript.whisperx[162].start 5313.839
transcript.whisperx[162].end 5321.687
transcript.whisperx[162].text 一公頃十三萬兩千零九十九塊,把租金放進去,都加了兩萬四千三百二十七塊。
transcript.whisperx[163].start 5331.476
transcript.whisperx[163].end 5332.636
transcript.whisperx[163].text 農業部的稅率你回去對一下
transcript.whisperx[164].start 5358.966
transcript.whisperx[164].end 5372.415
transcript.whisperx[164].text 這是農民發生的,我已經找很多農民的東西都會算出來,一分錢差不多可以讓新聞開發一個集,包括肥料,包括施工,包括電子,你看,裡面一個大宗,你看右邊這張圖,農民那是很可憐的
transcript.whisperx[165].start 5375.816
transcript.whisperx[165].end 5382.799
transcript.whisperx[165].text 你光是那個1到3月電費就要花了多少錢?1萬2,3到5月電費是2萬1,你看電費最近13年,電費已經漲了多少了?電費我們有補貼啊有補貼,可是老實講也是漲對不對?這個就是成本之一嘛,我聽你說,來來,這是先噴嘛,來你看下一張
transcript.whisperx[166].start 5393.792
transcript.whisperx[166].end 5398.995
transcript.whisperx[166].text 一公頃收入大概只有17萬多來我們看下一張你把他收入的錢減掉他自己的成本這很簡單嘛這是國小的數學題嘛五點你看一下一公頃收入
transcript.whisperx[167].start 5421.294
transcript.whisperx[167].end 5447.57
transcript.whisperx[167].text 不可以半年喔 一期到我們要忙半年喔 收入一公頃只有15萬多支出15萬多 收入只有17萬多 如果你把它變成是一分地 一分地你看 收入17萬多 支出只有15萬多而已所以啦 整個說一句話啦 保證 剩一分地啦 不可以整半年 半年喔 忙半年
transcript.whisperx[168].start 5449.278
transcript.whisperx[168].end 5466.551
transcript.whisperx[168].text 那個賺的錢啊連紅白包一包都不夠不然你如果去吃火鍋你的紅包你至少要包個兩三千對不對農民辛辛苦苦賺半年沒人半年賺不到兩千塊欸只賺到多少一千七百零七十九塊欸
transcript.whisperx[169].start 5469.571
transcript.whisperx[169].end 5495.662
transcript.whisperx[169].text 這個數據跟我們統計的數據差得非常多,這第一個你算多少?你算多少?你一分錢,你告訴我,你能收多少?我用一公頃,就是除以十啦我不要這是一期做還是二期做,一期做的話大概六到八萬然後二期做到四到六萬然後如果齁,我昨天來特別請我們統計針對農家收入所得提到的純粹繳公糧的收益
transcript.whisperx[170].start 5496.542
transcript.whisperx[170].end 5498.804
transcript.whisperx[170].text 一分多就四千啦一分多就四萬啦一分多就四萬啦
transcript.whisperx[171].start 5526.926
transcript.whisperx[171].end 5533.128
transcript.whisperx[171].text 我跟委員報告齁 農民的一個收益 讓全國的民眾 讓全國的民眾去公平 農業部長說我們農民忙了半年 沒人幾百年 他兩千塊的四千塊是有夠的
transcript.whisperx[172].start 5555.395
transcript.whisperx[172].end 5569.646
transcript.whisperx[172].text 有嗎?我跟委員報告齁,農民的收益一定是靠產品的優質化去提高價格而不是用政府的資金去貼他的部分優質化你在上面一急二轉,你去做嘛這個是一個非常重要的觀念現在就是有這麼多人要靠這個過一年,現在就是貪無吃啊
transcript.whisperx[173].start 5572.83
transcript.whisperx[173].end 5595.577
transcript.whisperx[173].text 所以我們現在推了一級二準參加在希望說能夠提高他的所得因為這個數據有問題我覺得會誤導你跟我的落差好,我說兩兩千塊都不到嘛你說可能有三四千,我只要講就是用你的四千塊,我一期不是對的啦我再說一期做是六到八千,二期做是四到六千
transcript.whisperx[174].start 5596.297
transcript.whisperx[174].end 5624.553
transcript.whisperx[174].text 加起來是差不多一萬你講話要對農民要負責我負責這是我們的統計數據來講政治問題沒有人幾百年賺紅白包就一百百不夠啦阿你講話也多兩包而已啦說實在的農民是要怎麼考慮你讓他倒三天你做農業不定的我剛剛切進來你自己都在加薪了你1月1號馬上要加薪為什麼不能我這樣公園加薪公公園的時候不是那是兩碼子的事情欸我們不能這樣比對啊
transcript.whisperx[175].start 5626.733
transcript.whisperx[175].end 5645.763
transcript.whisperx[175].text 你自動放棄你的加薪你若不在意這個的話你加薪你放棄可不可以你放棄我都跟你放棄阿你憑啥加薪對吧不是你憑啥加薪這是兩件事情嘛政府的加薪跟農民公糧因為公糧是少部分的公費阿你放棄你的加薪好不好我如果今天提高五塊農民拍拍手就結束了對產業是沒有進步的阿
transcript.whisperx[176].start 5653.863
transcript.whisperx[176].end 5679.897
transcript.whisperx[176].text 現在我剛才很理性跟你講支出跟成本對不對我現在跟你講另外一個事情你今天站在這裡你不只不要站在農民的對立面你也不要站在立法院的對立面我問你一下你現在是不是見到113席立委的共識跟決議那天表決的時候多少人有沒有人反對邱毅英剛才在那裡說什麼邱毅英那天有沒有人反對
transcript.whisperx[177].start 5685.99
transcript.whisperx[177].end 5708.02
transcript.whisperx[177].text 主決議提高五塊,他背後的目的就是希望盜農提高所得嘛那我們同樣提高盜農所得,我們用另外一個方式來執行,也是達到委員的目的嘛所以你要幫忙嘛,你讓他維持那基本的生活所需啊是不是這樣?這是第一個事情,我現在跟你講的
transcript.whisperx[178].start 5709.601
transcript.whisperx[178].end 5735.875
transcript.whisperx[178].text 你為什麼當農業部長?你是中華民國的農業部長,你要遵守台灣的民主法治啊!所以我要照顧的是所有的產業,不是只有公糧的這些人!外地人說的事情,第一個他是有潛力可行的,一百年調高的一公斤,調高三塊錢,立法院做的決議,一百年,民國一百年的時候,立法院做的決議,行政部門就編了嘛,對不對?你有潛力可行,這是第一類嘛!第一類是民主化的社會!
transcript.whisperx[179].start 5740.624
transcript.whisperx[179].end 5754.438
transcript.whisperx[179].text 那天我代表臺灣民眾黨提的這個案子每公斤調高26塊錢我們是要加速整個產業這個升級要照顧到我們的農民喔那天表決你看那天韓國瑜韓主席都請問議員會照臺灣民眾黨黨團跟國民黨黨團修正動議通過每公斤調高5塊錢有沒有意義
transcript.whisperx[180].start 5763.288
transcript.whisperx[180].end 5786.6
transcript.whisperx[180].text 大家看一下那天的標刊這是立法院的公文書一個立法院反對都沒有包括民進黨的立法委員你現在不只站在農業對立面你現在站在所有立委的對立面而且我剛剛跟你講了一百年都照做了你為什麼不做有潛力可行第二個立法院通過的這是法治社會你憑什麼沒得做
transcript.whisperx[181].start 5788.308
transcript.whisperx[181].end 5789.589
transcript.whisperx[181].text 我沒有另外一個方式來支持盜農的所得
transcript.whisperx[182].start 5813.766
transcript.whisperx[182].end 5815.707
transcript.whisperx[182].text 你現在不是對立委喔你現在是對民意、對農民、對台灣的法治社會啊立法院以前就是這樣運作的啊結果你反其道而行
transcript.whisperx[183].start 5840.799
transcript.whisperx[183].end 5868.869
transcript.whisperx[183].text 破壞了臺灣的民主跟法治欸我想以農業部的立場就是要讓我們的產業能夠持續的進去這個案子立法院通過了而且當天一個人反對都沒有阿你不想做阿立法院就關起來阿你還是保證你想農民不會照顧嗎我們一直在照顧農民我們用另外一個方式來照顧農民的我跟你講剛剛邱委員一直在講你有雙軌嘛
transcript.whisperx[184].start 5870.578
transcript.whisperx[184].end 5892.323
transcript.whisperx[184].text 立法院的決議這是法治問題,台灣是法治的社會,民主的社會,你不要去過,又有潛力可行,你趕快編,這是一個,你一直在講你一級二轉,我跟你說,我去政客說聽不懂啦,因為二轉你轉十幾年了轉不動啊,好啦,我轉兩年,你自己有專業,但你這雙軌啊,你少跟便利商啊,變完以後你去推你一級二轉,3加3
transcript.whisperx[185].start 5895.387
transcript.whisperx[185].end 5918.075
transcript.whisperx[185].text 你三年在街上看,你繼續做嘛,看人民、農民有贊同你嘛,我們今天說的不是完全超過農民的,這是整個台灣民主社會你現在去推翻了台灣的這個法制,你以為日本人要開會嗎?我今天做這個卦定,你現在不會理我嗎?啊日本人不關起來,我問你這件事不定,你不遵守
transcript.whisperx[186].start 5921.885
transcript.whisperx[186].end 5941.772
transcript.whisperx[186].text 我所瞭解的就是說在立法院本身的決議裡面如果可以要求我們因為預算是我們來編的那如果說有講到這個經費的部分的話我們必須要好好的評估這樣子一個決議是不是對我們的產業是有幫助我們的預算都是通過立法院審查的我們任何的決議你都可以推翻嘛是不是這個意思
transcript.whisperx[187].start 5949.195
transcript.whisperx[187].end 5967.147
transcript.whisperx[187].text 我沒有這個意思我沒有這個意思你要不只重視地方你要重視台灣的民主發地我告訴你一百年是怎樣一百年過就變了那就是發地的精神嘛轉世紀那種國會過的東西行政部門又把它推翻你在害台灣啦說實在的
transcript.whisperx[188].start 5968.478
transcript.whisperx[188].end 5990.36
transcript.whisperx[188].text 我做個折衷趕快編這個也是現在總預算要解決總預算要三個嘛原住民的精華條例要處理嘛通常其實請你接這個也沒有多少錢啊你看台電一下撥補一千億你要給人家你那個雞蛋一下浪費了十億啊裡面浪費還很多我們會大砍會嚴格監督的你砍下來的錢都足夠去給農民了啦
transcript.whisperx[189].start 5991.852
transcript.whisperx[189].end 6020.4
transcript.whisperx[189].text 好不好我做折衷方案趕快編然後你去推你的那個一級二轉看農民到底要不要接受啦好不好我還要加油啦各位知道人家都說你故意啊結果你故意的東西你的尊重發低啊你不能夠一直在農民的對立面一直在我們絕對不會站在農民的對立面我們一定會用實際的行動去支持產業的發展對啊所以你用你的一級二轉3加3你一面子嘛可是這個是立法院牽扯到臺灣的民宿發低捏
transcript.whisperx[190].start 6022.421
transcript.whisperx[190].end 6022.561
transcript.whisperx[190].text 請鄭政權委員質詢
transcript.whisperx[191].start 6050.521
transcript.whisperx[191].end 6052.424
transcript.whisperx[191].text 呃謝謝主席我想找一下那個陳部長請陳部長
transcript.whisperx[192].start 6061.471
transcript.whisperx[192].end 6079.297
transcript.whisperx[192].text 部長好,公糧收購本來是對農民有益,對於台灣糧食安全有一個保障的狀態,結果現在處理成感覺好像變成一個政治問題了。那部長我先簡單問你一下,那個山頭和颱風的時候,到目前為止的時候有多少的農損?
transcript.whisperx[193].start 6081.007
transcript.whisperx[193].end 6081.527
transcript.whisperx[193].text 新竹市有兩千多萬
transcript.whisperx[194].start 6110.401
transcript.whisperx[194].end 6112.083
transcript.whisperx[194].text 新竹市是多少?金額多少?
transcript.whisperx[195].start 6122.13
transcript.whisperx[195].end 6141.936
transcript.whisperx[195].text 我可能會有再提供喔 因為我請你查一下那我再問你一下喔 凱米颱風的時候 總共的那個農損大概金額是多少大概是20 現在速報提出來是26億吧 有沒有資料給我啊部長是36億 那凱米颱風裡面有多少是新竹市的農損
transcript.whisperx[196].start 6144.81
transcript.whisperx[196].end 6168.049
transcript.whisperx[196].text 這個我可能還要再查你之後再跟我講一下我為什麼特別一開始提這個問題因為我發現我看到農損資料當中的時候其實都沒有新竹市的資料那有可能一個狀態是新竹市本來就不是農業大縣所以我看到你這邊提出來的一個農業部對於公糧收購的部分你提出了
transcript.whisperx[197].start 6169.179
transcript.whisperx[197].end 6194.904
transcript.whisperx[197].text 一級二轉三加三這個部分你做了一個很清楚的一個比較我很認真的去看了一下可是我發現你裡面也是在玩數字遊戲那就把公糧收購講得很不堪那你剛剛也提到說全世界現在只剩台灣有公糧收購如果農業部真的覺得公糧收購這麼不應該的時候就取消嘛農業部有這個權責去做這個事情可是目前在做的時候呢整個立法院已經通過
transcript.whisperx[198].start 6197.005
transcript.whisperx[198].end 6217.378
transcript.whisperx[198].text 113席委員會通過這個組決議的時候呢然後農業部完全不甩然後在這裡面把這個公糧收購講得很差啊就是說講到說整個會讓糧價短多長空然後會造成那個百米價格上漲造成民生衝擊民生消費然後講到說不利到
transcript.whisperx[199].start 6217.978
transcript.whisperx[199].end 6218.458
transcript.whisperx[199].text 部長我讓你看一個東西
transcript.whisperx[200].start 6250.08
transcript.whisperx[200].end 6266.221
transcript.whisperx[200].text 你知道那個對地綠色環境給付計畫你知道這個計畫吧對不對這個計畫我想請教一下部長他一開始裡面也有一個很大的一個目標就是希望能夠
transcript.whisperx[201].start 6267.651
transcript.whisperx[201].end 6270.113
transcript.whisperx[201].text 這幾戶整個的話是totally大概是100億
transcript.whisperx[202].start 6292.568
transcript.whisperx[202].end 6311.416
transcript.whisperx[202].text 對地綠色環境給付計畫他的整個經費來源是來自於農產品受進口損害救助基金一百億我不知道你的數字從哪裡我今天問了幾個數字部長你都沒有給我一個很清楚的數字我看到第一期從107年到110年整個預算基本是381.72億
transcript.whisperx[203].start 6317.93
transcript.whisperx[203].end 6318.553
transcript.whisperx[203].text 你怎麼會只講這100億那另外280億到哪裡去
transcript.whisperx[204].start 6324.516
transcript.whisperx[204].end 6350.453
transcript.whisperx[204].text 這107到110大概是4年期的計畫4年的期的計畫那我剛剛說的大概大概是100億左右因為一年100億左右大概一年100億左右一年100億左右嘛齁第二期當中所以111年到114年目前還在第二期當中的時候總共是469.88億一年超過100億一年超過100億嘛對不對還有一個環境基本給付包括環境基本給付的部分理解齁一年超過100億嘛齁然後
transcript.whisperx[205].start 6353.325
transcript.whisperx[205].end 6378.032
transcript.whisperx[205].text 部長你知道嗎在整個對地綠色環境給付計畫裡面平均每年我先把它算出來到目前為止平均每年有74.87億元獎勵金用在鼓勵轉作用在鼓勵轉作這個就是這一次我們在講公糧收購很重要的一個部分你提到一級二轉三加三這個裡面很大一部分就是希望就是
transcript.whisperx[206].start 6379.721
transcript.whisperx[206].end 6395.59
transcript.whisperx[206].text 道米耕作的範圍不要太大然後我們看一下從106年到112年公糧到股那個收購的數量跟決算經費收購的量在這個地方收購量106、107、108、109持續的上漲可是我們從107年開始的時候這個對地綠色環境給付計畫就開始進行了
transcript.whisperx[207].start 6404.735
transcript.whisperx[207].end 6405.055
transcript.whisperx[207].text 我跟委員報告齁
transcript.whisperx[208].start 6427.501
transcript.whisperx[208].end 6444.954
transcript.whisperx[208].text 一百年開始我們推的四選三的部分就是四級稻作種三期所以我們盡量的把那個稻作面積往下降的時候所以公糧收購數量才會往下降是理由之一所以我要講一下狀態就是以我們現在每一年還有74億75億用在
transcript.whisperx[209].start 6449.596
transcript.whisperx[209].end 6457.775
transcript.whisperx[209].text 對地綠色環境給付這個地方要轉做這個部分坦白說我看到這個部分按照你們之前提出來的預算
transcript.whisperx[210].start 6459.963
transcript.whisperx[210].end 6488.962
transcript.whisperx[210].text 每公斤上漲5塊錢的預算大概只增加14.46億你們原本提出來預算本來就有一個公糧收購預算再加14.46億就可以達到就是112年的標準如果按照109年的高標準來說的時候是增加27.30億其實坦白說對於整個明年你們所提出來的總預算當中的時候增加其實都非常的有限所以我覺得
transcript.whisperx[211].start 6490.307
transcript.whisperx[211].end 6490.549
transcript.whisperx[211].text 感覺上
transcript.whisperx[212].start 6492.455
transcript.whisperx[212].end 6520.141
transcript.whisperx[212].text 公糧收購價格,農業部不願意提高我覺得已經不是很直接是一個農業上面的問題而變成一個政治上的問題所以剛剛為什麼很多委員提到說整個立法院裡面113席委員通過的一個決議你們都不願意遵守我跟委員報告我們我們剛才您所提的一些包括環境基本幾乎對地預設幾乎其實都是在希望水稻的面積不要增加
transcript.whisperx[213].start 6521.457
transcript.whisperx[213].end 6538.115
transcript.whisperx[213].text 當我們用很多的力量去想辦法壓低水稻的面積的時候我另一方面如果提高公糧價格的時候就會造成我過往的所有的投入效果都不見了部長你提這個部分其實坦白說我是能夠理解聽得進去的
transcript.whisperx[214].start 6539.136
transcript.whisperx[214].end 6540.377
transcript.whisperx[214].text 新竹的部分我們有查到大概二十幾萬各十百千萬次
transcript.whisperx[215].start 6567.247
transcript.whisperx[215].end 6586.06
transcript.whisperx[215].text 大概21萬3千多是其他產業的一個損失OK 這個部分你之後再來跟我報告因為我看到所有資料當中我只是要提高提高提出一個觀點就是說我們在看這個預算我們有一個客觀的標準在看那我沒有坦白說我沒有農民選民的一個壓力
transcript.whisperx[216].start 6587
transcript.whisperx[216].end 6600.448
transcript.whisperx[216].text 所以我在看這個部分我聽得進去你講的東西可是我也看到你提出不合理的狀態你在玩數字遊戲對於整個公糧收購的部分的時候你就是打死不願意去做提出很多的理由可是對我來說我把這個
transcript.whisperx[217].start 6603.386
transcript.whisperx[217].end 6619.794
transcript.whisperx[217].text 對綠對地綠色環境幾乎計畫拿來做個比較你會發現有怎麼樣的不合理如果說部長這邊要做更多的說明就是之後再到本辦公室來做一個細部通訊好不好但我們認為立法院通過的決議行政部門一定要尊重一定要遵守齁
transcript.whisperx[218].start 6620.794
transcript.whisperx[218].end 6620.814
transcript.whisperx[218].text 好 謝謝
transcript.whisperx[219].start 6657.577
transcript.whisperx[219].end 6658.098
transcript.whisperx[219].text 李玉琳委員陳部長
transcript.whisperx[220].start 6672.244
transcript.whisperx[220].end 6690.367
transcript.whisperx[220].text 副部長本席今天特別排了這個議題就是要好好的研究在我們政府在執行政策的時候有自愛難行所有的效益沒有辦法照顧到你這個政策的所有的人手我們必須要研議來再修改
transcript.whisperx[221].start 6690.968
transcript.whisperx[221].end 6715.341
transcript.whisperx[221].text 才能夠讓我們的政策能讓大家都能夠受惠這是我們最大的一個努力的方向所以今天必須要討論在討論的時候我請部長先從大的層面來看起不要一直把你的政策嚴格執行下去所以我們立委是嚴格的監督就是要讓你把所有政策能夠執行到最下面好不好
transcript.whisperx[222].start 6716.121
transcript.whisperx[222].end 6738.982
transcript.whisperx[222].text 所以剛剛部長特別講到就是說我們農地有租賃的這個地的價格但是除了這個以外因為地是農民他們從祖先留下來的耕作的農地是不會改變的我們不去計算這個價格但是現在為什麼要公糧調整就是生產的成本它有哪些成本呢
transcript.whisperx[223].start 6740.222
transcript.whisperx[223].end 6757.908
transcript.whisperx[223].text 肥料、農藥、央苗還有待耕的機器還有最重要的是這個央苗不能用機器化一定要人來做一個央苗的培育才有辦法而且工資又被調整了現在從日薪從1500條高到2000元割稻機也漲到30幾萬在這種種的情形之下
transcript.whisperx[224].start 6765.58
transcript.whisperx[224].end 6786.52
transcript.whisperx[224].text 老公基本工資調了豬肉價格調了雞蛋價格調了中油的價格調了台電雖然虧損但是他也調了為什麼公糧13年不能調就是不能調你剛剛所講的因為供過於求
transcript.whisperx[225].start 6788.223
transcript.whisperx[225].end 6801.755
transcript.whisperx[225].text 因為你的稻穀盛產所以你要控制那本席想請問你休耕一年兩期你現在休耕一年幾期以前是兩期現在呢一期
transcript.whisperx[226].start 6802.862
transcript.whisperx[226].end 6819.692
transcript.whisperx[226].text 為什麼?你鼓勵耕作那你鼓勵耕作的話你要轉做你的123政策本席也支持照顧農民的權益本席支持因為農民是最辛苦的你剛剛特別計算到半年的時間他們的收成成本扣掉後收入6萬塊7萬塊現在基本工資多少錢?
transcript.whisperx[227].start 6828.393
transcript.whisperx[227].end 6845.664
transcript.whisperx[227].text 半年時間6個月他一個月平均下來多少錢將心比心做到部長這個位置農業部你有苦民所苦嗎道民這麼辛苦座長的時候陳吉仲說讓農民賺一點點嘛淡商有淡荒的時候淡的價格調弄多少錢
transcript.whisperx[228].start 6852.932
transcript.whisperx[228].end 6860.497
transcript.whisperx[228].text 我們為了讓全民每天有蛋吃也讓你調了現在道農苦哈哈要求你調整
transcript.whisperx[229].start 6866.108
transcript.whisperx[229].end 6884.877
transcript.whisperx[229].text 現在公糧收購價錢是26塊施糧是多少錢平均21、22塊所以我們反映市場機制希望公糧去帶動著施糧你不希望大家來攪公糧沒有問題現在全國的公糧土地面積24萬到27萬公頃但是部長數字遊戲不是這樣玩的
transcript.whisperx[230].start 6892.591
transcript.whisperx[230].end 6900.604
transcript.whisperx[230].text 你收購公糧的價格不是全部的24、27公頃而是有限量的只有10%
transcript.whisperx[231].start 6902.236
transcript.whisperx[231].end 6922.915
transcript.whisperx[231].text 只有30%這就是你們的大約只有收購7公頃而已這是有限量的你對公糧的收購是有限量的有限量的所以並不是你在27公頃乘以5塊錢就要上百億
transcript.whisperx[232].start 6923.854
transcript.whisperx[232].end 6936.405
transcript.whisperx[232].text 不是這樣計算的你的123政策的時候為什麼只有16.5億而已呢所以部長在你來拜訪我的時候我也請你好好的來計算
transcript.whisperx[233].start 6937.952
transcript.whisperx[233].end 6966.559
transcript.whisperx[233].text 如果你做這個公糧的限量收購目前這樣子收購的話大概20億到22億但是你說周邊要花掉的上百億我也請你把明確的政策做出來但是今天你的報告這一二三政策已經執行十幾年了我們都支持但是一二三政策執行的時候他是照顧了什麼生產環境
transcript.whisperx[234].start 6969.434
transcript.whisperx[234].end 6970.515
transcript.whisperx[234].text 我跟你們報告第一點的部分
transcript.whisperx[235].start 6990.287
transcript.whisperx[235].end 7016.161
transcript.whisperx[235].text 我們現在目前看起來剛才委員說的成本提高但是相對的在這10年來他的產量也提高所以我們算過了就是實際的相對的影響大概是到2%到3%而不是10%這第一個說明第二個說明我們一直希望引導稻農能夠更優質的產品去提高他的售價來支撐他的所得而不是用政府的
transcript.whisperx[236].start 7017.321
transcript.whisperx[236].end 7040.638
transcript.whisperx[236].text 所以有私糧阿現在私糧價格多少錢現在私糧如果是汽桌的話是26到29左右你們給我的資料怎麼不是沒有我找出來要的資料資料都2122而已阿所以你把公糧價格提高就會帶動私糧私糧提高之後的話大家去找私糧而且全部他們生產的私糧會用汽桌的方式在你123政策不抵觸你環座區域
transcript.whisperx[237].start 7043.36
transcript.whisperx[237].end 7043.38
transcript.whisperx[237].text 委員會議
transcript.whisperx[238].start 7061.01
transcript.whisperx[238].end 7061.51
transcript.whisperx[238].text 不是這兩件事情
transcript.whisperx[239].start 7088.678
transcript.whisperx[239].end 7088.919
transcript.whisperx[239].text 現在太多腦農了
transcript.whisperx[240].start 7098.578
transcript.whisperx[240].end 7124.017
transcript.whisperx[240].text 部長你要考慮到現在很多老農年輕人沒有加入那你的休耕又從兩次一年兩次改成一次硬要他們來轉作轉作的話你又要求不能一期的做這個二期又再做這個一期做這個二期要再去轉作別的不管是雜糧還是什麼的但是你知道嗎你會耕田嗎你會耕作嗎你知不知道你要轉作的時候要翻土
transcript.whisperx[241].start 7124.998
transcript.whisperx[241].end 7139.926
transcript.whisperx[241].text 翻土要多大的工人跟成本跟時間啊要翻土去做你翻土再去做的話第二年又再改換所以這個政策有一個在我們這自愛難行的地方本席跟你討論部長你要聽進去
transcript.whisperx[242].start 7143.164
transcript.whisperx[242].end 7156.539
transcript.whisperx[242].text 我非常謝謝那個委員的指正那水岸田輪作其實就是一個非常有效的能夠維持地利的部分然後第二個您剛才講的就是公糧有限制你只要符合資格你就可以來繳公糧
transcript.whisperx[243].start 7159.082
transcript.whisperx[243].end 7160.222
transcript.whisperx[243].text 最重要的是水稻是打電話種水稻的
transcript.whisperx[244].start 7180.009
transcript.whisperx[244].end 7195.058
transcript.whisperx[244].text 我把重要的都告訴你有困難的還有現實面的問題都告訴你請你回去研議一定要落實照顧農民權益好不好會 這個一定我們一定會做到那第二個本期要跟你討論的就是斑斑有鮮奶
transcript.whisperx[245].start 7196.289
transcript.whisperx[245].end 7214.917
transcript.whisperx[245].text 現在斑斑有限來的這個情形在我們桃園來講的話在全國來講幾乎75%都轉做這個薄酒爐的那你要照顧的弱農有照顧到嗎還是去照顧女性來為他們先把路鋪好來未來他們進來的時候可以空開的使用薄酒爐
transcript.whisperx[246].start 7215.757
transcript.whisperx[246].end 7244.136
transcript.whisperx[246].text 我跟委員報告齁現在全台灣國產的生乳大概是47.2到48萬噸然後學童營養用的乳量大概是2萬噸左右所以不管是鮮乳跟薄酒乳他都同樣能夠照顧到我們的肉農第一點那第二點就是鮮乳本身保存不易就是生產段他都會用冷卻的方式你當時在執行這個政策的時候你會想到鮮奶保存不易那學校沒有這麼多的冷藏的冰櫃所以
transcript.whisperx[247].start 7245.517
transcript.whisperx[247].end 7246.918
transcript.whisperx[247].text 可是切的量太大了那提升也來不及了
transcript.whisperx[248].start 7270.014
transcript.whisperx[248].end 7274.035
transcript.whisperx[248].text 部長你如果了解問題冷藏需要冷藏沒有這個設備還有我們的量我們鮮奶的量不足的話那可不可以說我們發行鮮奶券讓他們直接到超商去兌換
transcript.whisperx[249].start 7293.168
transcript.whisperx[249].end 7296.951
transcript.whisperx[249].text 我跟委員報告齁我們未來如果新推出的一個新的方案
transcript.whisperx[250].start 7308.599
transcript.whisperx[250].end 7312.44
transcript.whisperx[250].text 最重要的是要照顧我們本土的酪農所以未來如果紐西蘭的那個保酒爐長效爐進來的時候因為我們是要補助給酪農對不對
transcript.whisperx[251].start 7330.885
transcript.whisperx[251].end 7334.446
transcript.whisperx[251].text 對,我們有一個方案我們有一個方案去協助對,我們所有的乳品的部分一定是一定要百分之百國產的然後第二個就是
transcript.whisperx[252].start 7347.532
transcript.whisperx[252].end 7347.832
transcript.whisperx[252].text 希望趕快解決這問題
transcript.whisperx[253].start 7374.173
transcript.whisperx[253].end 7375.234
transcript.whisperx[253].text 這個學期我們會針對已經訂單的部分我們會盡量去確保他的學童能夠喝到牛奶
transcript.whisperx[254].start 7383.294
transcript.whisperx[254].end 7412.211
transcript.whisperx[254].text 我想我們不是只針對鮮乳去做演藝我們剛才說的我們的目標就是下一屆如果要再繼續推的話一定讓學校不然現在大家都又喝飽酒乳了啊不我們會再去溝通齁就是如果能夠第一個把鮮乳跟飽酒乳現在的那個比例能夠做適當的溝通可是不只要在這邊保證他們是一週喝兩次你不會量少的時候改成一週喝一次喔不能改喔沒有我們持續的會跟乳廠去做一個溝通增加產能
transcript.whisperx[255].start 7412.831
transcript.whisperx[255].end 7412.851
transcript.whisperx[255].text 請陳部長
transcript.whisperx[256].start 7442.745
transcript.whisperx[256].end 7464.247
transcript.whisperx[256].text 委員 部長好 延續一下剛剛班班有先入的政策我想要請教一下第一個問題是前幾天我們卓院長也說當初推這個政策的時候有點太倉促然後沒有思慮欠舟那就開始有校長學校的國中小的校長開始擔心是不是要轉向是不是要取消這個政策我想要請教一下會持續執行嗎
transcript.whisperx[257].start 7465.402
transcript.whisperx[257].end 7468.625
transcript.whisperx[257].text 反映部長我知道,但是你後面我一直說未來會持續堅持把這個政策做好嗎?
transcript.whisperx[258].start 7483.776
transcript.whisperx[258].end 7486.739
transcript.whisperx[258].text 部長請問當初這個斑斑有鮮乳的政策是你們農業部發起還是教育部提議的是誰發起的
transcript.whisperx[259].start 7507.56
transcript.whisperx[259].end 7525.286
transcript.whisperx[259].text 我想在一開始的時候大概是兩年多前就開始有這樣子一個規劃那在規劃的過程中我們是針對酪農產業特別是國產的應該是我們跟我們有一些想法在跟教育部溝通跟教育部一起溝通一起努力執行那剛剛為什麼又說他其實影響不大
transcript.whisperx[260].start 7533.018
transcript.whisperx[260].end 7535.961
transcript.whisperx[260].text 這兩個事情就是說有些人外界來批評說我們是為了去化而把這個牛奶送到學校
transcript.whisperx[261].start 7556.94
transcript.whisperx[261].end 7577.239
transcript.whisperx[261].text 好那沒關係沒關係那我們現在知道了就是基本上我們也認同就是輔導我們國內的酪農產業但是喔鮮乳的生產排程至少要一年但是你們想要在這個短短兩三個月內完成結果就陷入這個冷氣房政策不僅沒有加匯到這個酪農產業反倒是小酪農跟養乳產業先被這個政策弄死部長
transcript.whisperx[262].start 7578.499
transcript.whisperx[262].end 7599.95
transcript.whisperx[262].text 這個農業部是真的要輔導保護弱農產業嗎?因為包含我們的這個弱農這個協會理事長也表示依照嘉義開辦這個類似政策15年的經驗總結先乳行前一瓶是18元但農業部的保酒乳你們是開每一瓶14元然後先乳每瓶16元那基本上就是中央訂定的價格實在太低了
transcript.whisperx[263].start 7600.43
transcript.whisperx[263].end 7618.47
transcript.whisperx[263].text 考量到這個飼料、牧草、冷鏈運輸成本等等他們認為每瓶鮮乳至少要19元才算合格所以現在看起來不僅是沒有配套除了那個什麼冷鏈的問題啦等等的沒有配套之外從一開始招聘、招標的價格就不合理是不是可以請我們農業部和交易部一併檢討這個部分
transcript.whisperx[264].start 7619.571
transcript.whisperx[264].end 7640.284
transcript.whisperx[264].text 我想後續的政策在推動的時候我們包括價格包括配中的方式包括方式我們都會統一的來做一個好的完整所以我要提議這個部分就是請你們回去檢討之外其實我們國人的這個乳糖苦耐症比例高達88%所以其實也可以輔導像有一些產品是不含乳糖的這種乳品所以這部分是可以思考還有剛剛的這個牛奶兌換券請你們
transcript.whisperx[265].start 7642.385
transcript.whisperx[265].end 7659.792
transcript.whisperx[265].text 請你們可以去往這方向思考,配合超商再來我要趕快問一個部長,歐盟在2006年已經全面禁止抗生素作為生長促進,添加於飼料,兼用抗生素是國際趨勢那我國這幾年也有陸續剔除,但是尚有19種抗生素
transcript.whisperx[266].start 7660.532
transcript.whisperx[266].end 7674.78
transcript.whisperx[266].text 那我想這不僅是我國大型經濟動物始終擺脫不了的這個抗生素抗藥性的問題也是我們受這個評鑑分數低的問題請問一下部長我們何時可以跟歐盟一樣全面禁止在飼料中使用抗生素作為促進劑生長促進劑
transcript.whisperx[267].start 7676.789
transcript.whisperx[267].end 7692.772
transcript.whisperx[267].text 我想我們持續針對這些抗生素的部分會有一些品項跟那個部長歐盟在2006年就逐步禁用最後4種飼料用抗生素其中這個復熱酶素跟這個阿美拉酶素
transcript.whisperx[268].start 7697.574
transcript.whisperx[268].end 7713.138
transcript.whisperx[268].text 請教部長,現在我國的這個國家級的防疫液體抗生素抗藥性管理行動計畫也在7月公布了那其中農業部也是非常重要的角色我國有行動計畫,但是行動目標上面有沒有決心要跟歐盟一樣禁用含抗生素的飼料
transcript.whisperx[269].start 7715.561
transcript.whisperx[269].end 7740.22
transcript.whisperx[269].text 這個部分會跟衛生部來協調那我們一個非常重要的就是我們針對這些抗生素的部分如果說它有人序共通的一些疾病的防止的部分還有一些對於後面有交叉感染的部分我們會做優先在這個部分我們又有一些排序是部長但是在這個行動計畫中其中除了醫院以及用藥的管控之外最重要的就是跟這個農業部的合作但是我們可以看到這個計畫後面的副表
transcript.whisperx[270].start 7740.76
transcript.whisperx[270].end 7746.52
transcript.whisperx[270].text 也就是這個績效指標或是衡量指標還有目標值你們在工作項目中
transcript.whisperx[271].start 7748.287
transcript.whisperx[271].end 7773.794
transcript.whisperx[271].text 發展續勤養殖場抗生素減用策略史我看到的時候我是覺得差點沒有暈倒你們居然沒有要像歐盟一樣全面禁用而是一年拖一年你們這些年度目標其實是非常的緩慢喔我想要請問部長我們國家的標準能到就這麼低嗎?你們是不是可以好好的再去檢討你們定定的這些年度目標究竟有沒有辦法跟上國際趨勢然後以及對我們國人有沒有什麼影響
transcript.whisperx[272].start 7774.588
transcript.whisperx[272].end 7775.068
transcript.whisperx[272].text 請檢討後的報告再給本席辦公室一份,謝謝
transcript.whisperx[273].start 7809.977
transcript.whisperx[273].end 7835.823
transcript.whisperx[273].text 請賴瑞倫委員質詢好 謝謝主席 請陳部長請陳部長部長辛苦了 部長我先請教一個問題就是說一個政策的成敗的責任最後會由行政機關負起還是由立法機關來負起責任
transcript.whisperx[274].start 7836.96
transcript.whisperx[274].end 7863.963
transcript.whisperx[274].text 我想政策的推動一定是由行政單位來負最後的一個責任所以這件事情最後的成敗以後對成敗是一定是立法機關應該給很多的建議嘛但是最後萬一這個政策是有問題其實都是由行政機關負責是行政機關來負責對所以我覺得這個東西的權責其實要分得清楚啦雖然立法機關會有很多的反映民意反映的一些意見但是最後都會回到行政機關身上那行政機關就最後由你們的整體的考量因為國家的資源有限下那
transcript.whisperx[275].start 7864.403
transcript.whisperx[275].end 7864.723
transcript.whisperx[275].text 委員會主席
transcript.whisperx[276].start 7895.003
transcript.whisperx[276].end 7914.115
transcript.whisperx[276].text 整個即使你全部聽了立法院的建議最後如果萬一這個政策是失敗的其實負起責任的其實是部長不會是立法委員所以我覺得這件事情還是要回歸聖誕堂我自己也當過局長我很清楚這個分際是很清楚那這個農這個稻米的部分其實大家在努力以很多的策略上的不同
transcript.whisperx[277].start 7915.592
transcript.whisperx[277].end 7927.486
transcript.whisperx[277].text 提高公糧當然是一種選擇的方式但是我看到部長其實比較認可跟支持採用一級二轉3加3的稻米產業方案這個裡面的部長簡單的幾句話來講一下兩者之間的優缺好不好
transcript.whisperx[278].start 7931.511
transcript.whisperx[278].end 7949.758
transcript.whisperx[278].text 我想我們分三個面向來講其實第一個部分就是當農業部在推動一個政策的時候對一個產業來講我們希望說政策的推動對所有的這個產業的人農民都能夠受益都能夠受益到同時受益到而不是針對特定的族群這是我們在思考的這一點點
transcript.whisperx[279].start 7950.838
transcript.whisperx[279].end 7971.971
transcript.whisperx[279].text 公糧的部分就是特定的 特定的少數整個產業不見得是最好的選擇然後第二個部分就是從經費的角度我們希望說用一個最少的經費能夠發揮最大的一個效益而這個政策不會跟其他的政策有互相干渴的部分也就是說發錢不見得是最好的方式用這些錢去運
transcript.whisperx[280].start 7972.731
transcript.whisperx[280].end 7980.883
transcript.whisperx[280].text 去運用它而讓它能夠提升更好的一些產值反倒或者是提升更好的效益反倒會有更好的效果然後第三個部分也是最重要就是說
transcript.whisperx[281].start 7982.25
transcript.whisperx[281].end 8003.007
transcript.whisperx[281].text 我們在考慮的就是當我用政府的資源投入在一些某一個產業的特定的族群的時候對其他的產業會相對的會受到一些經費的一個排擠那特別是我們現在推動了很多包括對地綠色幾乎很多都是希望能夠降低造作面積已經推動了很多而且逐步有些成效
transcript.whisperx[282].start 8003.467
transcript.whisperx[282].end 8031.403
transcript.whisperx[282].text 如果現在公糧在提高的時候會把過去的這些努力全部化為烏有那又重新來過所以部裡面的考量其實希望對於整體的道路甚至整體的農業的產業是整體有效益的在投入資源下是正面的效益的對好那我順著接下來請問其實台灣有些米也還不錯啦就是這個反倒是未來我認為像有些就不一定會繳交公糧有些地方的米不知道阿爸舉一下哪些地方你沒有繳交公糧的
transcript.whisperx[283].start 8033.049
transcript.whisperx[283].end 8034.03
transcript.whisperx[283].text 我的意思說其實應該更鼓勵更多用這樣的方式
transcript.whisperx[284].start 8057.887
transcript.whisperx[284].end 8058.267
transcript.whisperx[284].text 反倒會影響到
transcript.whisperx[285].start 8080.365
transcript.whisperx[285].end 8102.914
transcript.whisperx[285].text 農業部除了既有的公糧裝應該要花更大的力氣在於好米的部分的怎麼樣讓他種出更多好米鼓勵更多好米的產生而不是反倒是逆向的循環對這是我們在推動一極二轉生態戰的一個政策第一個就是讓農民引導他種植品質然後第二個部分就是後面的外銷的部分我們也會做一些品牌的行銷的宣導跟他們的支持
transcript.whisperx[286].start 8103.574
transcript.whisperx[286].end 8126.955
transcript.whisperx[286].text 這個也請部理院把規劃也再送給我們好不好把你們的規劃接下來的一年三年你們未來的規劃方向我認為這個其實都蠻重要的特別是看到其實日本的現在稻米的裝它其實現在有點不夠供應量不太夠的時候反倒是我們的稻米如果能夠有更好的稻米其實有機會更多的市場我跟委員報告上個月我到日本的時候就跟貿易商就跟一些那邊的
transcript.whisperx[287].start 8127.435
transcript.whisperx[287].end 8145.876
transcript.whisperx[287].text 通路已經談過了他們大概明年1月會來那其實其中的一個品項當然很多農產品比較其中一個品項就是米的部分那我們想趁這個機會把我們的U值的米能夠有機會銷到日本去因為以前日本米甚至是國內米還要銷到國外去那現在它量不夠的狀況下其實這個都是台灣米的一個機會
transcript.whisperx[288].start 8148.058
transcript.whisperx[288].end 8162.268
transcript.whisperx[288].text 品牌拉得更好品質拉得更好我們就有機會我們在衝的是值而不是在衝量我覺得這個是比較有意義的那再來是雜糧的部分其實也是很重要的嘛我們也希望未來這塊雜糧的部分部裡面也持續來加強來推動
transcript.whisperx[289].start 8164.089
transcript.whisperx[289].end 8192.669
transcript.whisperx[289].text 會,我想我們在二轉的部分其實就是有一些不中到的獎勵就希望他們不中到然後轉到雜糧那提高雜糧以後我們的自給率就會提升對我們糧食安全也會有確保這個我想我們會繼續來對,就是雜糧我們現在的是需求大於供給的啦是在這種狀況下的時候其實引導如果農民往這個方向的話其實他的收益會來得更好是而不是去中的到然後用供糧這個部分反倒不見得是最好的選擇是所以我希望
transcript.whisperx[290].start 8193.889
transcript.whisperx[290].end 8210.315
transcript.whisperx[290].text 農業部持續的溝通啊,持續的能夠...對,我們會在這裡溝通好,那再來我要講其實要把握一點時間齁,前陣漁港其實很重要的一個建設啦齁,那但是我看了一下整個這個進度齁,多功能水產品的運銷中心的整個進度落後了41點多部長為什麼落後這麼多?
transcript.whisperx[291].start 8214.195
transcript.whisperx[291].end 8236.998
transcript.whisperx[291].text 我想這個部分國度組在執行的話,我想我們也會要求國度組在這個部分能夠把過去落後的進度能夠趕上,因為這個部分是大家所期待的。那相對的我們有一些部分包括漁港的那個深度碼頭的部分都在做了,現在最重要的就是一個運銷的加工這個中心,這個中心完了以後就能夠串接整個部分。
transcript.whisperx[292].start 8238.319
transcript.whisperx[292].end 8260.094
transcript.whisperx[292].text 議員議員
transcript.whisperx[293].start 8260.414
transcript.whisperx[293].end 8283.272
transcript.whisperx[293].text 那個跟委員報告這個我們已經擬好一個照商文件跟財政部溝通過看過了那我們這個禮拜會在臺北跟高雄辦理照商說明會也要積極邀請潛在廠商來參與謝謝部長這個可能要請還是要持續的邀請我講過很多次這個若你邀請到的是夠大的
transcript.whisperx[294].start 8283.812
transcript.whisperx[294].end 8287.013
transcript.whisperx[294].text 我希望說讓國內的大的而有能力的廠商能夠有意願來來參與這樣的一個計畫我也認為就是說一個一個一個營運經營主體一定選擇非常重要
transcript.whisperx[295].start 8303.719
transcript.whisperx[295].end 8325.808
transcript.whisperx[295].text 選擇得對的話後續就會非常順利如果說選擇不對的時候可能造成後續不好的一個面向發展這個部分我想特別努力因為你選擇好的光他自己可能就很在乎他的品牌了啦他不會輕易砸掉自己的招牌嘛所以他也會很認真但是他進來他一定會經過很多的評估包括他的投資能不能達到他的效益所以我也希望我知道年限有做了一些放寬我也希望這是個長遠的計畫
transcript.whisperx[296].start 8327.448
transcript.whisperx[296].end 8327.628
transcript.whisperx[296].text 休息5分鐘
transcript.whisperx[297].start 8369.155
transcript.whisperx[297].end 8369.514
transcript.whisperx[297].text 響鐘
transcript.whisperx[298].start 8684.086
transcript.whisperx[298].end 8684.266
transcript.whisperx[298].text 主席
transcript.whisperx[299].start 8714.153
transcript.whisperx[299].end 8740.894
transcript.whisperx[299].text 我想請問一下現在我們斑斑有鮮乳這個問題要怎麼解決啊那個我們知道目前從過去以來我們的消費市場就是我們乳品的消費市場鮮乳占85%保酒乳占15%國內的乳品是有足夠的供應量供給就是斑斑有鮮乳這個政策是不是
transcript.whisperx[300].start 8741.713
transcript.whisperx[300].end 8742.394
transcript.whisperx[300].text 那我想請問什麼時候可以?
transcript.whisperx[301].start 8766.209
transcript.whisperx[301].end 8776.429
transcript.whisperx[301].text 我想我們針對分兩個部分一個部分就是已經接受已經下定完成的部分我們會盡量協調爐廠在爐品的分配讓他能夠
transcript.whisperx[302].start 8778.208
transcript.whisperx[302].end 8778.528
transcript.whisperx[302].text 那什麼時候可以?
transcript.whisperx[303].start 8802.212
transcript.whisperx[303].end 8821.241
transcript.whisperx[303].text 現在已經在做了現在學校下訂的這個情況應該都已經決定了嗎現在大概有19個縣市完成的下訂還有3個縣市是還沒有完成下訂的部分那19個縣市的部分應該可以馬上就是來溝通協調了吧對我們現在已經啟動了現在我們有一個專案小組在做這樣的一個協助協助爐廠因為過去的爐廠
transcript.whisperx[304].start 8827.944
transcript.whisperx[304].end 8828.965
transcript.whisperx[304].text 請問八月三十號開學現在已經第二個月了
transcript.whisperx[305].start 8861.588
transcript.whisperx[305].end 8875.299
transcript.whisperx[305].text 我們本身我們的目標就是讓我們的學校盡量能夠很快速的喝得到所以很重要一點就是我們希望爐廠的產能能夠提高然後相對的他在配送的時候能夠比較均勻的配送
transcript.whisperx[306].start 8875.819
transcript.whisperx[306].end 8903.971
transcript.whisperx[306].text 而不是說先定的齁先完全百分之百滿足了以後才去做其他的這樣的話造成有的學校喝得到有的學校喝不到我們會來努力我特別點名畜牧師長李一千他是新任的畜牧師長是不是是我要點名為什麼你知道大家飽酒我喝不到該喝鮮乳你知道在那個乳品的供應的那個契約裡面
transcript.whisperx[307].start 8905.987
transcript.whisperx[307].end 8933.451
transcript.whisperx[307].text 那個我們鮮乳的價格是多少?14加2嘛,對不對?那保酒乳呢?14塊那14塊,大家為什麼要訂保酒乳?就是因為價格的問題嘛,我們補助的就只有14塊嘛,是不是?是那這樣子的情況下,是不是學校當然會優先的採用保酒乳,是不是?
transcript.whisperx[308].start 8934.352
transcript.whisperx[308].end 8952.729
transcript.whisperx[308].text 所以這個部分我想我們以後給他回答給他回答你來解釋一下李謙市長是報告委員那個鮮乳14塊加2保酒乳14塊這個都是由我們農業部的預算來支應沒有讓學校出錢我知道那為什麼他要訂保酒乳
transcript.whisperx[309].start 8953.63
transcript.whisperx[309].end 8970.494
transcript.whisperx[309].text 就是因為這個預算剛剛好他們可以足夠也可以供給這些學生半半可以喝到鮮乳嘛是不是那你為什麼叫大家半半可以喝到牛奶嘛那你為什麼叫大家如果喝不到飽就改喝鮮乳
transcript.whisperx[310].start 8970.994
transcript.whisperx[310].end 8988.072
transcript.whisperx[310].text 阿錢不夠阿再怎麼樣就知道錢不夠阿是不是我跟委員報告齁就是我們基本上會尊重學校對於保救乳或鮮乳的一個選擇那本身我們的預算是足夠的預算是足夠的不是說因為預算不夠而讓
transcript.whisperx[311].start 8988.933
transcript.whisperx[311].end 8988.953
transcript.whisperx[311].text
transcript.whisperx[312].start 9006.676
transcript.whisperx[312].end 9034.825
transcript.whisperx[312].text 我要再看一下喔你看一下這是我們目前稻米的出口統計為什麼大家希望農民希望公糧的價格可以提高為什麼現在生產成本提高嘛那我們過去農委會的政策是希望可以增加出口嘛是不是是那你看到稻米出口的統計
transcript.whisperx[313].start 9036.085
transcript.whisperx[313].end 9055.574
transcript.whisperx[313].text 這是日稻米出口的統計是從過去以來109年出口是超過進口可是近年來並沒有大幅度的上升是不是我跟委員報告大概有幾個原因第一個原因就是
transcript.whisperx[314].start 9056.374
transcript.whisperx[314].end 9081.739
transcript.whisperx[314].text 我們剛剛前幾年剛好在疫情期間他的出口比較不易第二個部分就是也是一直我個人希望一直去推動的就是我希望我們生產的是優質的好米那這樣的話我更能夠利用品牌的方式去推到一些高端的市場那這樣的話才能夠讓農民的收益能夠提高那繳公糧的部分大概都是只是重量不重值的部分那繳公糧的部分我們有兩個部分一個部分是
transcript.whisperx[315].start 9082.74
transcript.whisperx[315].end 9109.583
transcript.whisperx[315].text 針對一些落後地區的我們配合外交部去提供這些原住民的部分大概一年大概2.2萬噸那其他的部分我想我們因為他的品質不是那麼好所以相對的國內的這些加工使用的話量就比較低所以最重要的根本就是希望農民能夠種植比較優良的米以後那不管是國內的供應或外交的部分那基本上他的面向就會比較大
transcript.whisperx[316].start 9110.788
transcript.whisperx[316].end 9139.711
transcript.whisperx[316].text 所以可是以目前來看為什麼農民現在急著希望公糧的價格升高就是因為過去幾年來不管不管你說要用品牌的出口讓他能夠價格高漲但是在整個時機上面就是沒有成績阿是不是我跟委員報告齁如果說我們去仿視這些稻農的部分當你仿視到純粹講公糧的他當然希望公糧提高因為
transcript.whisperx[317].start 9140.452
transcript.whisperx[317].end 9141.012
transcript.whisperx[317].text 好 你不要浪費我的時間 你說
transcript.whisperx[318].start 9167.409
transcript.whisperx[318].end 9189.631
transcript.whisperx[318].text 到底什麼時候我們稻米的出口產值可以增加我們的價值可以增加什麼時候這是你農委會農業部部長應該要負擔的責任嘛你們提出你們的目標嘛你說啊什麼時候我們出口
transcript.whisperx[319].start 9190.913
transcript.whisperx[319].end 9193.734
transcript.whisperx[319].text 我剛才也說了就是說其實上個月我到日本去的時候就有接到一些
transcript.whisperx[320].start 9213.999
transcript.whisperx[320].end 9214.599
transcript.whisperx[320].text 你跟我講什麼時候啦?
transcript.whisperx[321].start 9225.759
transcript.whisperx[321].end 9237.404
transcript.whisperx[321].text 你給我保證什麼時候啦?我們出口會增加啦!你給我保證啦!你不要!你不要提高公糧收購的價格!你給我保證什麼時候!我們出口會增加啦!會真正的增加農民的收入啦!你給我保證啦!
transcript.whisperx[322].start 9252.03
transcript.whisperx[322].end 9278.843
transcript.whisperx[322].text 我想明年的部分我想出口一定會增加這個是一定確認只是那個量的部分我們還要去跟我們的不同國家的同路去討論另外一個是很多國家的米的進口是有配額的部分所以相對的他必須要取得配額以後才能來進出口的部分這個也會努力好我最後有個問題啊不要浪費我的時間我就向你保證而已嘛你要保證啊我想要知道現在我們去年的時候
transcript.whisperx[323].start 9280.307
transcript.whisperx[323].end 9280.447
transcript.whisperx[323].text 下一張.
transcript.whisperx[324].start 9301.827
transcript.whisperx[324].end 9318.393
transcript.whisperx[324].text 一次一次的專案進口3萬隻的總母雞進來雖然他沒有辦法解決燃煤之急有可能呢有可能他預估就是在今年2024跟2025年我們的雞蛋產量會大幅度的上升導致現在我們面臨到雞蛋價格產地價格大幅度的下跌對不對
transcript.whisperx[325].start 9328.294
transcript.whisperx[325].end 9352.687
transcript.whisperx[325].text 我跟委員報告齁其實要穩定雞蛋的產銷業者跟我們農業部都有責任也是共同的目標那業者的部分我們每一個禮拜都有提供相關的資訊那業者就應該根據這個資訊做相關的自主的管理包括總機他就必須要去淘汰而不是放任總機持續的變成蛋凍機然後蛋機廠他持續的不去做一個優化去調節而讓雞蛋繼續生產出來
transcript.whisperx[326].start 9355.669
transcript.whisperx[326].end 9358.471
transcript.whisperx[326].text 因為要根據供需 那農業部的部分我們會怎麼樣子 怎麼樣子調節現在的種機我問你現在 氧氣協會說希望農業部可以補助淘汰種機但是現在淘汰種機會不會明年我們又變成雞蛋 沒有了 會不會
transcript.whisperx[327].start 9378.643
transcript.whisperx[327].end 9379.343
transcript.whisperx[327].text 農業部長 陳部長 你要怎麼解決這個問題啊
transcript.whisperx[328].start 9403.898
transcript.whisperx[328].end 9427.373
transcript.whisperx[328].text 你現在說不要希望他們自主那到時候他們自主淘汰太多明年會不會產生我們又缺蛋的問題阿你們又要去進口雞蛋阿會不會我們每個月基本上我們都提供了很完整的資訊包括總雞、蛋中雞跟淘汰母雞的整個數量那業者
transcript.whisperx[329].start 9429.514
transcript.whisperx[329].end 9429.914
transcript.whisperx[329].text 陳婷菲委員質詢
transcript.whisperx[330].start 9457.5
transcript.whisperx[330].end 9458.2
transcript.whisperx[330].text 農民的感受不到
transcript.whisperx[331].start 9482.486
transcript.whisperx[331].end 9504.741
transcript.whisperx[331].text 我們已經花了那麼多的資源包括我們從所謂的一個轉作然後在一些相關的農業環境基本的給付然後轉作的獎勵甚至農業保險甚至是我們一些相關的這些保價收購的一個部分
transcript.whisperx[332].start 9505.595
transcript.whisperx[332].end 9522.684
transcript.whisperx[332].text 我們做了很多但是農民為什麼感受不到還是認為說你就是要公糧提高收購價然後讓有些人一直喊這樣的口號喊得好像我們沒有家的人就是因為不照顧農民
transcript.whisperx[333].start 9524.11
transcript.whisperx[333].end 9547.456
transcript.whisperx[333].text 我跟委員報告齁我們不管在我們的政策推出來之前跟之後現在我們大概從上個月開始我們已經開了20幾場的說明會大部分的農民是支持我們這樣的一個做法但是還是這聲音沒有出來啊你說農民支持你這個說法這聲音很小欸可是我相信如果你用民調的話
transcript.whisperx[334].start 9552.487
transcript.whisperx[334].end 9569.189
transcript.whisperx[334].text 這些所謂支持要提高公糧收購價格的人聲音會比較大為什麼我想基本上用政府的經費去支持農民的收益直接的收益的話我想每個人都拍拍手
transcript.whisperx[335].start 9570.725
transcript.whisperx[335].end 9595.174
transcript.whisperx[335].text 但是只有少部分而已如果說今天是用全民調的部分就是包括其他的產業的部分那以我們對產業的瞭解跟認識所謂的少部分是多少人真正有在交公糧的不論是全部交公糧大概有12萬人我想稻農大概有22.5萬人那12萬人是有繳跟公糧有來往的部分那其中2.2萬是純粹繳公糧的部分
transcript.whisperx[336].start 9597.435
transcript.whisperx[336].end 9620.066
transcript.whisperx[336].text 那相對的我們現在目前主要的主力的從事農業的大概是48.6萬到9萬48.9萬之間那相對的其他的產業包括我們了解的雜糧的產業他們就覺得說如果只照顧稻農他們覺得很不服氣因為他們也是很努力的為這邊土地付出去生產一些糧食安全所
transcript.whisperx[337].start 9620.826
transcript.whisperx[337].end 9621.186
transcript.whisperx[337].text 所以部長今天
transcript.whisperx[338].start 9642.403
transcript.whisperx[338].end 9661.282
transcript.whisperx[338].text 我剛剛講的一個關鍵是我們做了這麼多可是為什麼農民的感受都沒有那麼的深就像你講的今天大家如果增加整個收購價大家會拍拍手可是拍拍手的可能是
transcript.whisperx[339].start 9662.811
transcript.whisperx[339].end 9665.332
transcript.whisperx[339].text 其實我們也應該有一個所謂調整機制滾動式檢討的機制
transcript.whisperx[340].start 9687.932
transcript.whisperx[340].end 9709.425
transcript.whisperx[340].text 所以我同意也認同那個委員所說的就是說我們對於現在 花卉也是啊 對不對滾動式檢討啊我們應該提出我們不一定說一次要這個拉高多高可是我們應該對於所謂產業面我們要滾動式檢討就像我之前在我們農損的部分
transcript.whisperx[341].start 9710.465
transcript.whisperx[341].end 9718.871
transcript.whisperx[341].text 要求部長滾動式檢討一樣在我們整個全面的一些收購價格各種農作物的品項
transcript.whisperx[342].start 9720.487
transcript.whisperx[342].end 9738.966
transcript.whisperx[342].text 是不是也都應該去做滾動式的檢討是我想跟委員報告我想我們會要看品項有的品項是純粹是市長機制的就是市長機制那有些品項是政府有一些參與一些配套的部分那這個部分不只是倒座的部分其他的品項我想我們也會來做一個滾動的檢討我想持續的檢討才能夠
transcript.whisperx[343].start 9742.899
transcript.whisperx[343].end 9771.542
transcript.whisperx[343].text 所以部長我們應該跟農民說在這個公糧收購的部分我們會隨時滾動式檢討對不對?滾動式檢討就是隨著現在市面上的狀況跟所有我們生產的量我們隨時去做滾動式檢討而且不只是我們的稻米我們是針對所有農民各品項都是一樣
transcript.whisperx[344].start 9772.915
transcript.whisperx[344].end 9796.705
transcript.whisperx[344].text 如果說可以針對單品項各品項有一個機制叫滾動式檢討那麼大家會比較心安道座也是公糧也是也就是這一次會被提出來是很久沒條件了大家覺得很久沒條件了那我們不要說一下子訂到五塊錢我們訂一個是隨時每年滾動式檢討
transcript.whisperx[345].start 9800.563
transcript.whisperx[345].end 9802.984
transcript.whisperx[345].text 因為我們明明做很多對於農業的保護對於農業的支持對於農民的照顧我們民進黨做的太多
transcript.whisperx[346].start 9828.496
transcript.whisperx[346].end 9845.89
transcript.whisperx[346].text 而且比起過去的標準是多很多關我們的農損包括我們的植栽包括我們的農健保這些過去基本上都要靠農民自己本身但是我們現在用法治去協助他們
transcript.whisperx[347].start 9847.597
transcript.whisperx[347].end 9868.774
transcript.whisperx[347].text 所以在這樣的一個前提之下我們要讓更多人知道不能因為一個公糧的議題好像把民進黨打成說你都沒在關心農民我覺得這樣子好辛苦喔所以表示我們對外所講的講得不清不楚我們立場沒有講清楚
transcript.whisperx[348].start 9869.642
transcript.whisperx[348].end 9892.547
transcript.whisperx[348].text 如果我們今天說的我們已經做了這麼多的投入作業的一個相關經費好我們也願意對於在整個公糧的一個收購我們每年去做滾動式檢討而且不只是到做這個品項而是所有相關的農業支持的品項
transcript.whisperx[349].start 9894.266
transcript.whisperx[349].end 9921.854
transcript.whisperx[349].text 只要他並不是在處於市場機制的一個狀態我們就應該每年去做滾動式檢討謝謝委員我想這個部分我們絕對可以認同也可以接受所以後續我想我們會建立一個機制就是針對一些政府有在投入的這些品項我們做一個有效的一個滾動機制那這個機制會看其他的政策的落實程度去做一個滾動的一個調整
transcript.whisperx[350].start 9923.424
transcript.whisperx[350].end 9939.097
transcript.whisperx[350].text 因為現在物價確實飆漲的比較快而且他會因為國內情勢跟國際情勢所以我們就要有這個擔當跟農民說會我們會依照各方的局勢
transcript.whisperx[351].start 9940.018
transcript.whisperx[351].end 9966.899
transcript.whisperx[351].text 去做滾動式檢討而且在整個所謂保價收購的一個價格當中我們會多面性而且縱觀性去保障到我們農民的收入我覺得我們要有這樣的定調農民才會安心否則只要一句話說一句話就把我們全部前面所做的都打翻了
transcript.whisperx[352].start 9968.14
transcript.whisperx[352].end 9992.878
transcript.whisperx[352].text 這對於公務人員也不公平對於執政政府也不公平可是農民也沒有錯他需要的是一個穩定收入所以我們更應該接近他們瞭解他們的想法穩定收入就是希望有政府來隨時關心他們而不是丟在那 英文都沒聽到
transcript.whisperx[353].start 9995.225
transcript.whisperx[353].end 9995.445
transcript.whisperx[353].text 委員會提醒
transcript.whisperx[354].start 10011.94
transcript.whisperx[354].end 10026.411
transcript.whisperx[354].text 大家也是這樣跟我們說,就是說我們更應該站在執政黨立場,我們提出更有效的、更有用的、更直接的,我不是一道坑要你叼多少,而是我們每年滾動式檢討,負責任的該叼管的叼管呢?
transcript.whisperx[355].start 10031.274
transcript.whisperx[355].end 10031.374
transcript.whisperx[355].text 請紅聲看委員諮詢
transcript.whisperx[356].start 10073.048
transcript.whisperx[356].end 10074.329
transcript.whisperx[356].text 現在主席請陳部長請陳部長來委員好部長好
transcript.whisperx[357].start 10085.813
transcript.whisperx[357].end 10103.442
transcript.whisperx[357].text 這段時間我們討論了蠻多這個農地跟再生能源跟光電之間的這些問題那我們大概理解農業部有農業部在這方面農業為本的想法但我想要跟部長來請教部長你看一下這個照片
transcript.whisperx[358].start 10104.602
transcript.whisperx[358].end 10127.358
transcript.whisperx[358].text 像這樣一個小小的農機巨市喔那其實周遭其實沒有太多的植物因喔那它假如也在一個受光條件好的地方你覺得它適不適合做屋頂光墊我跟委員報告做屋頂光墊本身除了建築物本身所在的屋頂以外它也要考慮到匱限跟它後續的當然這個意思是說匱限都沒有問題啊你覺得適不適合
transcript.whisperx[359].start 10131.121
transcript.whisperx[359].end 10160.434
transcript.whisperx[359].text 我個人覺得如果屋頂型的話他沒有用到地面喔對他沒有用到地面是可以去做這樣的方式可以做這樣的方式嘛對部長這個不知道你知不知道其實像這樣一個農機具市或一個資材市其實他的面積真的不大他經濟效益也沒有很大可是很多農民他其實某個部分他也贊成也支持但目前喔很多的程序現在很多的程序都是卡在農業部不夠積極的作為部長你知不知道這件事情
transcript.whisperx[360].start 10161.302
transcript.whisperx[360].end 10175.775
transcript.whisperx[360].text 我想一個非常重要的問題就是這個農機具本身的面積基地面積是因為他要合法嘛那現在是規定在45平方公尺以下的話是沒有辦法有建造的不然我給你看一下這是今年8月初這是農民喔
transcript.whisperx[361].start 10176.716
transcript.whisperx[361].end 10204.86
transcript.whisperx[361].text 這是你們主管的農民喔 農民來向我們澄清喔他說他自己在民國110年參加農業部農業設施設置屋頂光墊說明媒合會上面宣傳上面是很明確的寫到說農業資材室是有被納入到農業設施屋頂光墊裡面的喔所以這個農民他即便知道自己屋頂的面積很小沒什麼經濟效益但他還是願意自掏腰包來響應政府相關的政策
transcript.whisperx[362].start 10205.427
transcript.whisperx[362].end 10233.664
transcript.whisperx[362].text 但卻被農業部拒絕要求他一定要有建築物的執照或使用或使照所以我們在8月底的時候找了三個部會來我們找了能源署、經濟部能源署也找了國土署也找了農業部都來一起來釐清我們問了能源署能源署說其實能源署說這個建造並不是必要的條件可以有其他文件來去取代
transcript.whisperx[363].start 10234.81
transcript.whisperx[363].end 10258.067
transcript.whisperx[363].text 那國土組說確實農法條例已經排除了45平方公尺以下的建物免申請建造這事情而且特別法是優先於普通法但這個在農業部的法理上面確實看起來那次呈現看起來是需要承擔更多的責任不想所以呢我們當時其實發文要求在8月底的時候我手上這筆
transcript.whisperx[364].start 10259.543
transcript.whisperx[364].end 10286.286
transcript.whisperx[364].text 這公文8月29發出的那我們要求在9月12號以前農業部應該要主動協調但到今天農業部還是沒有作為一場會議都沒有召開也沒有任何公文的含附我們要求9月12號應該要回覆在這公文上面現在10月中了我們問了國土署
transcript.whisperx[365].start 10287.808
transcript.whisperx[365].end 10313.6
transcript.whisperx[365].text 農業部有沒有找你們他說沒有我知道這裡面會有一些建築安全要怎麼去確保的機制上面設計的問題我們都清楚但我要說的事情是第一個農民的需求是誰主管農業部吧那這包括這上面農地上面種種的事情包括他的許可等等等的資材是也是農業部在管的對不對是
transcript.whisperx[366].start 10315.472
transcript.whisperx[366].end 10324.406
transcript.whisperx[366].text 我自己認為到底要用什麼方法來去確保他的安全上面的問題這事情不一定只有一種方法但農業部應該要積極協調去尋找現在我感覺農業部的狀況是雙手一攤啊部長
transcript.whisperx[367].start 10331.787
transcript.whisperx[367].end 10358.375
transcript.whisperx[367].text 我想如果照委員這樣講,違背了我當初520以後,我要求我們農業部一定要用更積極服務的態度去服務農民。那以剛才委員敘述的部分,我覺得就像剛才我們同仁有講說有在做,可是我覺得那個包括時間也太久了。因為有很多是需要跨部會解決的部分,也許你們需要其他部會某些協助或諮詢,這我都同意。
transcript.whisperx[368].start 10359.295
transcript.whisperx[368].end 10366.576
transcript.whisperx[368].text 但是我要再強調一次這是農民的需求是這不是光電廠商的需求是如果是光電廠商的需求我會去找經濟部
transcript.whisperx[369].start 10367.881
transcript.whisperx[369].end 10392.216
transcript.whisperx[369].text 但這是農民的需求,農民想做沒有人逼他,也沒有什麼經濟效益也不是這裡面會有什麼大的圖利,都不會有農民就想做,他的需求在農地上面在農業部主管的資材室上面我覺得農業部應該承擔起主動協調並找到方案的角色,部長你同不同意?我也同意,以農民的角度因為資材是我們農業部所來管的部分,我們應該
transcript.whisperx[370].start 10393.584
transcript.whisperx[370].end 10409.949
transcript.whisperx[370].text 甚至於可以當作主責就是對於可不可以應該當作最後決定的一個單位啦所以這個部分我想我會要求我們相關的單位我想站在這個制裁是幾乎所有都符合你們原本說明跟宣示的原則啊並沒有影響到農業生產啊對也沒有用到農土農地啊
transcript.whisperx[371].start 10411.092
transcript.whisperx[371].end 10413.413
transcript.whisperx[371].text 部長,我願意再給農業部一次時間,一個月的時間,在幾個部會裡面,主動承擔協調處理這件事情的方案
transcript.whisperx[372].start 10432.924
transcript.whisperx[372].end 10460.478
transcript.whisperx[372].text 不一定只要靠只有是建造或始造啦有很多的方式都可以去確認這樣子一個制裁式的安全問題啦是能源署也都會認啦就我問能源署能源署也說他都會認啦所以不一定只有一種方法可是農業部要去協調住這個方法部長沒有問題一個月可以嗎我覺得沒問題就我舉個例子齁就以溫室的部分有沒有我們就可以委託學校變成溫室的強度結構我們都可以去做技師簽證所以像這個部分我覺得一定可以解決啦
transcript.whisperx[373].start 10461.138
transcript.whisperx[373].end 10461.638
transcript.whisperx[373].text 首先謝謝執行
transcript.whisperx[374].start 10490.256
transcript.whisperx[374].end 10493.698
transcript.whisperx[374].text 有請農業部陳部長今天是公糧調高價格的評估跟評審的一個報告但是這個公糧這個報告我首先要請教一個問題
transcript.whisperx[375].start 10517.082
transcript.whisperx[375].end 10538.147
transcript.whisperx[375].text 目前我們的農業保險率覆蓋率是51%你比109年的9%確實增加很多但是這個51%最重要你是從水稻跟支的一個強制保險以後所以要把這裡扣掉你只有17.6
transcript.whisperx[376].start 10540.097
transcript.whisperx[376].end 10567.352
transcript.whisperx[376].text 阿這個保養現在老百姓也不怎麼相信因為你農業保險不一定拿得到保險的一個費用阿在這裡你們今年的10月2號你農業部搞不好火勢依靠修正天然災害救治的辦法你加個稻米在本田中獲取適用天然災害的
transcript.whisperx[377].start 10569.245
transcript.whisperx[377].end 10578.66
transcript.whisperx[377].text 這個類型限縮於農檢控跟兵跑我告訴你 我要怎麼看它 部長你是提到補充公司你講話你沒有提農民講話臺灣的農檢控多不多
transcript.whisperx[378].start 10587.418
transcript.whisperx[378].end 10600.342
transcript.whisperx[378].text 昨天公告已經把水稻這個部分拿掉了,沒有公告,所以沒有這個問題?我現在先跟你說,你除了拿掉好,你又從善如流,你只有規定農前鋒,只有規定兵跑
transcript.whisperx[379].start 10601.749
transcript.whisperx[379].end 10605.03
transcript.whisperx[379].text 我希望你這個公告裡面幫我加一項,鹽水風。你知道新竹到苗栗到台中這個階段,我們叫做酒檢風。
transcript.whisperx[380].start 10621.417
transcript.whisperx[380].end 10630.99
transcript.whisperx[380].text 那如果那個風一撿起來沿水的時候在海邊一掃,那些球啊,那些球啊,差不多都不會滑,都是空爆彈。
transcript.whisperx[381].start 10632.259
transcript.whisperx[381].end 10659.994
transcript.whisperx[381].text 如果你要公告這個:真正有發生的話:我們就是檢視方案你這樣聽到沒有我了解我完全贊成委員的意見就是說現在這條保險已經用我們的農業的保險去支撐了但是針對特定的一些災害他講的齁龍捲風在台灣不容易發生但是巖峰你剛剛講的海邊的巖峰反而機會會比較大那這個部分我想我們
transcript.whisperx[382].start 10661.255
transcript.whisperx[382].end 10689.318
transcript.whisperx[382].text 我上次的委員會我已經承諾齁就是我們天然災害救助每一年年底之前都會檢討完成包括金額包括裡面的不適合的條款我們在第二年的一月份一定會重新公告一次齁所以趁這個在這年底的部分我們把它納入就我們的檢討的一個依據好 這樣算喔 檢視方你一定要幫我納入好不好因為我曉得我當地的農民那個海邊的生態我一清二楚
transcript.whisperx[383].start 10690.618
transcript.whisperx[383].end 10700.424
transcript.whisperx[383].text 好嗎?你光農健康光兵跑就不可能對,我們會納入討論,在我們的專案會議裡面去討論那再來要跟你,請回座討論到公糧的收購這要聽你的報告確實很矛盾你會記得這句話,我看你才不會起來慈禾日當午
transcript.whisperx[384].start 10715.165
transcript.whisperx[384].end 10740.631
transcript.whisperx[384].text 漢堤河下土 再來你跟我說誰知盤中仙盤中孫 利利皆辛苦好 這標示我們做法院農業 農民的辛苦我們以農利共 大家跟農業跟農民都有深厚的感情你今天所謂的評估報告出來我從頭把你抬到尾 我所謂的資料都把你調起來你裡面說
transcript.whisperx[385].start 10744.225
transcript.whisperx[385].end 10761.129
transcript.whisperx[385].text 我請教你一個問題現在農民座一公頃實質的收益大概會有多少?一家棟一家棟一期座6到8萬好業人7到8萬二期座4到6一家一家棟一期座6到8萬二期座是4到6萬我告訴你6到8萬要在台北一車一座就沒有意義了
transcript.whisperx[386].start 10772.771
transcript.whisperx[386].end 10790.085
transcript.whisperx[386].text 所以我現在覺得你這個部長不替農民講話我感覺你是研究資深而且你也是做過農 我覺得你一定會替農民講話我可以報告嗎 水中的收入相對於其他的品項其實他也比較高你不會這樣說 他做的社產就是社產你的報告裡面說集團產區的企作價格每公斤26到29
transcript.whisperx[387].start 10800.7
transcript.whisperx[387].end 10827.143
transcript.whisperx[387].text 高於公糧收購的26年你現在想你從2011年到今年2024年13年你都沒有調整這公糧的收購你是在壓榨農民我給你算我們現在基本工作的調整我們的公務薪水的調整跟著通貨膨脹不然你也要調整一下你竟然一口喝一口我會給你什麼
transcript.whisperx[388].start 10828.82
transcript.whisperx[388].end 10854.066
transcript.whisperx[388].text 一局二轉,三加三,要賠到這麼少的,看來看去又三到五三三我從這些人出身的,你這是糟蹋農民當然你講的也有一些道理,但是基本台灣的物價已經漲了多少你說調高公糧價格會帶動其他的物價,什麼水果什麼那些物價,我聽不進去本來都已經在漲了
transcript.whisperx[389].start 10856.308
transcript.whisperx[389].end 10882.755
transcript.whisperx[389].text 但是你要如何來改進這一些?你一集團,沒有你自己選擇嘛!提高公糧的價格,你們一定要跟集團簽合約,這個是另外一個途徑嘛!你所謂改種優良的、品質的種,你跟我種這個、那個種啊!是什麼樣的改革你叫人家要種?沒有種,我不想跟你收!大家就怪怪的來啊!你捨得這麼多看!
transcript.whisperx[390].start 10884.793
transcript.whisperx[390].end 10886.874
transcript.whisperx[390].text 所以我覺得你們要改變思考的方向
transcript.whisperx[391].start 10902.173
transcript.whisperx[391].end 10929.928
transcript.whisperx[391].text 你現在要給我公糧,不然你給我種什麼品種,你覺得好嗎?不然你就說你要給我參觀集團做,還是安裝來修?這個方式你誰家沒誰人看得到好不好?我講真的啦!所以你這個想法就要蓋啦!你說這樣管到29戶到30戶而已,我怎麼有感受?第一,一家中餐6萬到10萬好不好?
transcript.whisperx[392].start 10933.614
transcript.whisperx[392].end 10940.882
transcript.whisperx[392].text 我是跟你講真的,一家中六萬到九萬一天收兩片,如果各位參六萬到九萬,各位參兩萬一萬好不好?
transcript.whisperx[393].start 10945.161
transcript.whisperx[393].end 10972.206
transcript.whisperx[393].text 這個怎麼過活嘛,那是大家感覺說我這個土地做先勞了,我要好好耕種,不然怕被歐人不孝順,不知道沒什麼事,都是在旁邊要找工作才有增加收入嘛,你都要了解這個情形嘛。不然你從插秧的地方,收割的地方,那些待耕業者拜託他們去跟他們做的地址來講,
transcript.whisperx[394].start 10973.936
transcript.whisperx[394].end 11001.028
transcript.whisperx[394].text 不然你講這些道理不通啊你可以再強制要求嘛我公糧收購就要品質比較好我固定收了多少你30%嘛你這講出來喔農民傻到不傻傻真的我們到哪個地方政治層委員除了農民工業各位知名啊 那個公糧齁十幾年都沒有給我們調整啊你這次要去給我們發聲要調整啊
transcript.whisperx[395].start 11005.011
transcript.whisperx[395].end 11020.884
transcript.whisperx[395].text 跟你的想法跟農民的想法差別很大我希望你在這邊再調整調整一個適當的方案農民要開心不然你農業的設施做了那麼多這開始要改進的所在
transcript.whisperx[396].start 11023.483
transcript.whisperx[396].end 11045.251
transcript.whisperx[396].text 謝謝委員的一個指教那我們其實共同的目的就是要提高稻農的所得這是我們一次的目標那現在目前稻作有兩個系統一個是公糧一個是集團契作我們現在我們希望說透過集團契作的方式能夠照顧到所有的稻農那我也必須要去
transcript.whisperx[397].start 11045.991
transcript.whisperx[397].end 11058.299
transcript.whisperx[397].text 去 內部要去討論的就是我們有沒有辦法去建立一個機制去做這個調整的一個機制我 裡面報告說有2.24萬公頃只要抽離3%到5%就能把公糧的價格穩定好是產地的價格不是公糧的價格7千公頃到12000公頃你在雜糧的幾十年都沒有調整價格
transcript.whisperx[398].start 11083.81
transcript.whisperx[398].end 11101.222
transcript.whisperx[398].text 這兩個政策是矛盾的齁因為我們一直希望把水稻轉成雜糧那雜糧的部分我們包括你如果不種到我已經多了一萬五了有增加的誘因那你一方面如果提高公糧收購的話又會跑過來所以基本上我想我們整體的產業是需要進步的
transcript.whisperx[399].start 11103.243
transcript.whisperx[399].end 11109.831
transcript.whisperx[399].text 現在在半島啊,說到日本半島一塊塊就三千啊,普通是啊
transcript.whisperx[400].start 11111.144
transcript.whisperx[400].end 11119.869
transcript.whisperx[400].text 我跟委員報告農民的所得普遍的比其他的行業還要低這是事實然後我們也希望能夠透過各種方式能夠提高稻農所得我們的農產品的價格也偏低我們也希望透過方式
transcript.whisperx[401].start 11137.279
transcript.whisperx[401].end 11165.672
transcript.whisperx[401].text 不善於種植的到了全部改為國土計劃那個什麼發展區啊城鄉發展區 減掉 你的價格穩定你有好作有準手段不是這行而已你也不要怕那些榮譽民運榮譽團體在講以前國民黨執政榮譽團體看天天抗爭法民黨執政那些榮譽團體我都看不到了我們只是不想講
transcript.whisperx[402].start 11167.216
transcript.whisperx[402].end 11191.274
transcript.whisperx[402].text 你把這些3131萬2千公頃,照你所講的3到5,7千公頃,那不適宜跟這種改為城鄉發展區第一個,把房價低價整個壓低下來,我不知道你這個政府要什麼,要民主,理事又沒有辦法沒有拿出一道妥善的辦法,你要整體討論嘛,不然現在房價那麼貴
transcript.whisperx[403].start 11193.611
transcript.whisperx[403].end 11213.132
transcript.whisperx[403].text 農民感鼓舞,你以為農民啦,大家都在期待捏,我常常講一句話你都沒有感受到。我們的廟裡的三坡地,一公間三層屏,沒有台北的一間廁所,好在的一間廁所,這樣你還跟我說,很悲哀啊,謝謝。
transcript.whisperx[404].start 11222.067
transcript.whisperx[404].end 11251.011
transcript.whisperx[404].text 請鄭天才委員質詢。主席、各位委員、有請部長。請陳部長。部長,辛苦了。
transcript.whisperx[405].start 11253.325
transcript.whisperx[405].end 11277.432
transcript.whisperx[405].text 今天的議題是針對立法院的決議提高公糧收購價格的一個專題報告當然你的報告寫得非常的詳細重點就是因為立法院代表民意所做的決議這個國民黨團在今年的5月8號
transcript.whisperx[406].start 11283.51
transcript.whisperx[406].end 11311.983
transcript.whisperx[406].text 提出了這個提案因為基本工資、養苗、物價指數不斷的上漲尤其是基本工資這13年來啊最起碼又調漲了將近10次了所以特別提案公糧收購的價格既然13年都沒有調整應該要調整經過草野協商之後
transcript.whisperx[407].start 11314.331
transcript.whisperx[407].end 11329.342
transcript.whisperx[407].text 113年7月16日立法院院會做討論特別提到我們看一下最後立法院的一個決議各黨團當時無異議對民眾黨團、國民黨團的修正動議通過
transcript.whisperx[408].start 11343.171
transcript.whisperx[408].end 11371
transcript.whisperx[408].text 有意沒有意義各黨團都同意沒有表決所以行政部門農業部就應該要尊重民意尊重立法院所做的決議這個不是表決的是黨團各黨團沒有意義通過的決議
transcript.whisperx[409].start 11373.066
transcript.whisperx[409].end 11399
transcript.whisperx[409].text 院長做了一個財事也就是立法院的決議他特別提到109年到現在13年未調帳物價大漲包括人工、肥料、農業資材等各項成本現在也切工,農業也切工啊
transcript.whisperx[410].start 11400.202
transcript.whisperx[410].end 11402.403
transcript.whisperx[410].text 農業部因綜合考量各項成本及物價指數調整公糧收購價格
transcript.whisperx[411].start 11428.615
transcript.whisperx[411].end 11453.841
transcript.whisperx[411].text 由每公斤26元調整至每公斤31元原來的提案是34後來大家協商之後31所以這個部分我看一下原來的提案34原來提案是34所以後來立法院所做的決議
transcript.whisperx[412].start 11457.112
transcript.whisperx[412].end 11480.18
transcript.whisperx[412].text 26條整是每公斤31塊是這樣的一個決議當然你今天的報告寫得非常詳細也都有理由啦但是重點就是畢竟是立法院代表前台灣人民的民意所做的一個決議
transcript.whisperx[413].start 11481.832
transcript.whisperx[413].end 11507.226
transcript.whisperx[413].text 所以在這樣的一個情形之下包括相關的附帶決議都是無意通過好回到你的報告公糧價格自63年起到113年歷經12次調升收購價格最近一次就是100年嘛100年現在113年所以是已經13年
transcript.whisperx[414].start 11509.855
transcript.whisperx[414].end 11529.04
transcript.whisperx[414].text 好你這個報告裡面一直強調過去你的那個說明也是一樣一直強調會增加會增加種稻的一個面積如果我們看這個面積99年稻作面積24.4萬公頃100年25.4提高3塊3塊
transcript.whisperx[415].start 11539.141
transcript.whisperx[415].end 11545.766
transcript.whisperx[415].text 也沒有增加多少啊兩公兩萬公頃對不對一直到現在還是還比以前少啊現在是112年去年22.2萬公頃所以也沒有增加所以這個部分
transcript.whisperx[416].start 11564.065
transcript.whisperx[416].end 11589.49
transcript.whisperx[416].text 這是一個你們在實際的運作上當然你們有你們的考量我作為這個老公務員也都可以尊重但是畢竟是立法院所做的決議所以在這個部分還是我特別還是要請這個農業部能夠依立法院的決議給予支持
transcript.whisperx[417].start 11591.311
transcript.whisperx[417].end 11619.424
transcript.whisperx[417].text 我跟委員報告我們非常尊重立法院的主決議那在這個主決議之下其實背後的一個精神就是要提高我們的道農所得那我們現在提出了這些一級二轉三加三的政策我們評估的結果是這樣的話才能夠照顧到整體的產業的所有的道農那我剛才也說過了就是公糧的收購它跟現在跟我們的集團產區的一個民糧的收購是並行的
transcript.whisperx[418].start 11619.924
transcript.whisperx[418].end 11619.944
transcript.whisperx[418].text 部長
transcript.whisperx[419].start 11649.198
transcript.whisperx[419].end 11675.155
transcript.whisperx[419].text 你提你今天的報告如類的非常詳細了尤其是今天一直在調123那個叫什麼方案一級二轉三加三這個方案你提了在這邊也提了很多次了我在這個這個電視上也看了聽了不影響你去推動這個方案三個方案你繼續去推動
transcript.whisperx[420].start 11677.008
transcript.whisperx[420].end 11705.32
transcript.whisperx[420].text 如果推動的非常非常的棒非常非常的有成效這個人民就說這個不用了大家也不用去照例所以這個部分可以雙管齊下並同進行第一個就是要依立法院的決議來執行第二個
transcript.whisperx[421].start 11706.636
transcript.whisperx[421].end 11735.312
transcript.whisperx[421].text 你原來要做的你現在要打算做的繼續做可以同時進行啊我跟委員報告齁就是公糧提高五塊跟我們現在推的它政策上本質上我也有一些矛盾特別是在我們在一級二轉裡面特別是二轉的部分我們希望說一些倒坐同樣是農民的收益我希望說他能夠轉成漢做以後得到我們的那個不中道獎勵以後提高他的所得那如果說公糧
transcript.whisperx[422].start 11736.152
transcript.whisperx[422].end 11737.133
transcript.whisperx[422].text 我給你一個方向農業部一個方向民國100年12月5號
transcript.whisperx[423].start 11763.963
transcript.whisperx[423].end 11791.673
transcript.whisperx[423].text 12月5號行政院來航給立法院為什麼會來航給立法院呢在100年12月的3號3號立法院做了一個決議做了什麼決議第一個因為老人農民津貼暫行條例修正了要增加老農津貼
transcript.whisperx[424].start 11793.24
transcript.whisperx[424].end 11819.497
transcript.whisperx[424].text 第二個國民年金法也修正了要增加沒有修正的沒有法律法源的也併同這個決議併同譬如說老農的林農津貼等等包括農業部的有幾個也併同修正沒有法律的議題一樣照立法院的決議
transcript.whisperx[425].start 11820.706
transcript.whisperx[425].end 11848.86
transcript.whisperx[425].text 行政院怎麼做呢12月3號立法院決議100年12月5號啊行政院就報了一個修正中央政府101年度的總預算三天之內啊就修正立法院行政院已經送到8月底送到
transcript.whisperx[426].start 11850.804
transcript.whisperx[426].end 11877.384
transcript.whisperx[426].text 一百年八月三十一號以前送到立法院的一百一十一百零一年度的總預算修正喔增加多少增加很多光農業部啊就增加了七億多啊總共包括內政部、人民會總共修正增加了什麼一百六十三億六千七百萬
transcript.whisperx[427].start 11879.295
transcript.whisperx[427].end 11880.035
transcript.whisperx[427].text 請陳冠廷委員質詢您好,我們請部長請陳部長
transcript.whisperx[428].start 11913.116
transcript.whisperx[428].end 11931.392
transcript.whisperx[428].text 委員好 部長好 部長 農業部從108年試辦開放800多人的這個農業外籍工那到112年6月中旬是開放到1.2萬人那目前大概已經有引進8500多人 7成依據今年大概年底就會把這個擴大用完
transcript.whisperx[429].start 11931.932
transcript.whisperx[429].end 11951.743
transcript.whisperx[429].text 那我看部長上次答詢的時候有說農業部跟勞動部爭取增加8000人讓外揚總數可以到2萬人我想請問目前爭取的結果如何?已經通過了那這個是一個很重要的一個福音要分享給我們這也是委員一直在協助我們爭取的
transcript.whisperx[430].start 11953.044
transcript.whisperx[430].end 11972.882
transcript.whisperx[430].text 另外一個部分就是這個部分我們是非常肯定的第二部分要請教就是說農業移工首先是執行單位那我們地方的農會有在跟我們反映就是說現在中央是由農業部輔導師農業人力發展科交給地方農會來執行但是許多地方農會卻抗拒於這件事情
transcript.whisperx[431].start 11973.382
transcript.whisperx[431].end 11984.937
transcript.whisperx[431].text 他說首先是第一個能力不足的問題第二個就是農會不會管理這種移工的部分所以如果移工他如果逃逸的話農會還會被罰錢他們是表達說有點吃力不討好這個問題你覺得該去怎麼樣解決
transcript.whisperx[432].start 11990.123
transcript.whisperx[432].end 12017.199
transcript.whisperx[432].text 我想跟委員報告就是我們也感謝農會的一個協助來執行那我們在農會在有意願去處理這個我們會有個專案的講習跟輔導的部分因為外籍移工一定要有管理不能說他不是直接到家庭去的所以我們一定要找到一個中間的一個管理單位以現在農會跟農民的接觸的關係他是一個相對比較好的一個選擇
transcript.whisperx[433].start 12018.3
transcript.whisperx[433].end 12046.587
transcript.whisperx[433].text 那至於說農會本身如果遇到什麼樣的困難的部分我想我們農業部一定會積極的去協助那幾個農會總幹事有向我反映他們是建議說農業移工大部分是從事農糧的工作那是不是可以讓由北中南東四個分署的農糧署來去承擔這個移工的相關的業務這是他們的建議或者是用其他的相關的這個大家農業部來思考一下找其他法人等等來去做這樣子的服務
transcript.whisperx[434].start 12047.327
transcript.whisperx[434].end 12065.585
transcript.whisperx[434].text 不知道部長你怎麼看這件事我想公部門只能做受理的單位我們不能直接參與移工的管理所以除了農會以外我想我們也會積極的去看看有沒有什麼樣子的一個農民團體法人還是有什麼其他的方式來去想一下好不好這個東西我想我們會再來研議除了農會以外
transcript.whisperx[435].start 12067.086
transcript.whisperx[435].end 12090.995
transcript.whisperx[435].text 再也就是農業移工的申請資格這部分有很多農民朋友來表達他是說像我們阿里山有很多茶園那他們需要茶工但是目前申請移工的面積是兩公頃以上那低於兩公頃或者是中間混有果樹的就不能申請這個部分農業部有沒有可能把申請面積調降到一公頃或者是說除了茶園面積之外雜糧面積10公頃以外
transcript.whisperx[436].start 12092.776
transcript.whisperx[436].end 12092.916
transcript.whisperx[436].text 委員會主席
transcript.whisperx[437].start 12119.468
transcript.whisperx[437].end 12127.331
transcript.whisperx[437].text 謝謝部長 這個很重要那最後就是關於水稻的捲葉蟲的部分那現在是二期到期間嘛那農友是很深受這個捲葉蟲的這個困擾
transcript.whisperx[438].start 12154.265
transcript.whisperx[438].end 12166.279
transcript.whisperx[438].text 現在農民是朋友是來跟我們反映他說現在是初步啦初估現在的稻葉損害率是20%到70%左右是相當的嚴重所以如果可以的話部長我希望說農業部可以找時間
transcript.whisperx[439].start 12167.421
transcript.whisperx[439].end 12168.702
transcript.whisperx[439].text 這部分是不是可以請農業部來做簡單的這個回應?
transcript.whisperx[440].start 12185.249
transcript.whisperx[440].end 12207.071
transcript.whisperx[440].text 我跟委員報告就是水稻的部分因為它的基本性已經加入農業保險那農業保險不管你什麼原因我們就會只要超過20%我們就會去做一些理賠的部分那你剛才講的捲葉蟲就是野柳鳴的部分它是隨氣流的部分那剛好8月跟10月有颱風
transcript.whisperx[441].start 12208.933
transcript.whisperx[441].end 12209.273
transcript.whisperx[441].text 好 謝謝是可以理賠的好 謝謝
transcript.whisperx[442].start 12244.571
transcript.whisperx[442].end 12249.377
transcript.whisperx[442].text 我們中午不休息 延長到會議結束現在請李坤城委員質詢請陳部長
transcript.whisperx[443].start 12268.03
transcript.whisperx[443].end 12287.076
transcript.whisperx[443].text 委員好部長好這個部長我本行是比較關心這個動保法的修正因為在今年五月的時候那時候我在質詢的時候我就說這個動保法的修正案預告已經一年了那希望說我們把動保法早一點送到這個立法院來做審議
transcript.whisperx[444].start 12288.436
transcript.whisperx[444].end 12311.518
transcript.whisperx[444].text 然後在今年6月總諮詢的時候那我也問了這個行政院長當時您站在這個院長的旁邊那我也希望說這個趕快把動保法送到立法院的審議然後呢您當時是比較持肯定的態度就是說今年會送到這個立法院做審議那所以呢這個是在6月11號的
transcript.whisperx[445].start 12312.839
transcript.whisperx[445].end 12331.672
transcript.whisperx[445].text 但是到目前為止好像農業部都還是在預告本席有兩個法案一個是寵物食品安全管理法這已經復委了9月的時候已經復委了一個是經濟委員會做審查然後動保法修正案在明天也會排入院會的報告事項
transcript.whisperx[446].start 12332.853
transcript.whisperx[446].end 12342.768
transcript.whisperx[446].text 除了我之外其實還有很多委員都很關心動保法的修正案那就請教一下部長現在我們的動保法還在預告修正期嗎?從2023年的4月28號開始預告要修正了
transcript.whisperx[447].start 12349.758
transcript.whisperx[447].end 12362.689
transcript.whisperx[447].text 到現在一年半的時間都還在預告嗎沒有沒有我跟委員報告齁就是在去年4月28的時候預告以後那預告以後我們接受到了非常多的外界的不同的意見我知道你們有經驗嘛齁我們一個原則齁就是
transcript.whisperx[448].start 12363.803
transcript.whisperx[448].end 12389.537
transcript.whisperx[448].text 有共識的我們先納入這次的修法如果沒有共識的我們先擱著然後我們現在已經送到行政院在審議當中了那行政院如果審議通過的時候就會送到立法院來所以會在年底之前我想我們的目標就是年底之前會送到立法院來年底之前沒剩多久現在已經十月中旬了我們現在已經送到立法院行政院在做法條的審議了
transcript.whisperx[449].start 12391.118
transcript.whisperx[449].end 12416.669
transcript.whisperx[449].text 那行政院一旦審議通過以後我們就會送到立法院來就會送到立法院來所以已經在布裡面已經送出去了所以你沒有跳票對不對因為那時候六月問你的時候你說今年會送到立法院對所以現在在行政院在行政院的我們已經送出去了對那所以今年能夠送來嗎對我們希望我們也會再跟行政院寫條說儘快能夠列入預選法至少今年先送過來雖然說在審預算當然也不知道有沒有預算可以審但是你們還是要
transcript.whisperx[450].start 12418.63
transcript.whisperx[450].end 12428.442
transcript.whisperx[450].text 按照當時的承諾送過來這是動保法那這個有關寵物食品安全管理法的部分這個你們是9月5號開始預告大概是預告會多久
transcript.whisperx[451].start 12434.392
transcript.whisperx[451].end 12449.16
transcript.whisperx[451].text 預告是60天因為當初我在立法院承諾的時候就是本來我們的寵物食品法是在動保法裡面的一個章節但是那個章節可能沒有辦法涵蓋到我們想要的管理的作為所以我們後來拉成專法
transcript.whisperx[452].start 12449.68
transcript.whisperx[452].end 12471.573
transcript.whisperx[452].text 那專法裡面會從它的原料開始到它的製程到它後面的上市的部分都有一定的查核跟管制的作為那這樣的話會比較完善所以我們預告60天以後我相信也會接到不同各界的意見所以我們也會針對意見的部分來做一些調整以後然後再送到行政院去
transcript.whisperx[453].start 12472.193
transcript.whisperx[453].end 12482.522
transcript.whisperx[453].text 那如果按照時程來講的話預告60天2個月那這個預告結束已經是11月的事情了11月多對然後你們還要再整理再送到行政院
transcript.whisperx[454].start 12483.882
transcript.whisperx[454].end 12506.999
transcript.whisperx[454].text 我想我們在動保法已經有一個遊戲規則就是有共識的我們先處理不要再去溝通因為溝通可能一溝通又是每一條的溝通可能有好幾個月所以有共識的我們就先修先去處理完了以後送行政院那這個時候我相信會比較有共識啦能夠盡快的在這個會期那如果按照這樣的話這個重複食品安全管理法
transcript.whisperx[455].start 12507.839
transcript.whisperx[455].end 12530.501
transcript.whisperx[455].text 我們也是如期我們的當初的一個承諾我問你就是說那現在動保法遇到修法上面會比較大的困難點在哪裡動保法是不是動保法其實比較有一點點的爭議的就是我們賦予動保檢查人員的一個就是必要的時候能夠進到私領域的這個部分
transcript.whisperx[456].start 12531.081
transcript.whisperx[456].end 12552.681
transcript.whisperx[456].text 那有一些外界的聲音就會認為就是說他已經變成準司法警司司法的這種警察的一個權利了那可能什麼不一樣在我們部裡面的這個修正法案裡面他是可以進去的對私領域的部分但是我們也不是亂闖民宅啦就是我們還是會根據特別是有一些比較比較比較違法的這種飼養或什麼的時候我們
transcript.whisperx[457].start 12554.162
transcript.whisperx[457].end 12576.735
transcript.whisperx[457].text 以前都是在門口他不開門我們也進不去一定要找警察嘛那現在其實我們跟警察有很好的合作那我們也希望說能夠讓這個法律通過以後然後相對的針對這些動保警察人員能夠在某個條件之下能夠進到私領域的話那對於以後的這種稽查非法的他是動保警察嗎
transcript.whisperx[458].start 12577.375
transcript.whisperx[458].end 12594.662
transcript.whisperx[458].text 他不是動保警察他是動保檢察員所以他只是去查核而已而不是去執行所謂的司法在某一些情況之下他是可以進入到私領域對 我說有一些情況之下能夠進去這樣的話對於我們的稽查的效率會比較高一點
transcript.whisperx[459].start 12597.564
transcript.whisperx[459].end 12614.757
transcript.whisperx[459].text 這個我們還在透過協商,那從法制的角度,就是他不會去干涉到司法警察的原來的權限但是我想我們還會跟外界做持續的溝通,因為這個牽涉到所謂的人權的問題,所以我們會盡最大的努力去做溝通
transcript.whisperx[460].start 12615.418
transcript.whisperx[460].end 12615.458
transcript.whisperx[460].text 人權與動物權
transcript.whisperx[461].start 12636.66
transcript.whisperx[461].end 12664.265
transcript.whisperx[461].text 這個修法就會遇到這個難題那我也希望說在這部分的話看你們怎麼去做處理在某些條件之下這個我想我們會有一些前提的設計因為我看你們的修正條文裡面是有把這一部分擺進去基本上我是支持的那比較重要的是強化事主的責任我覺得這個非常重要現在很多寵物本身特別是寵物的部分會變成流浪犬的部分就是事主本身的一個責任
transcript.whisperx[462].start 12665.365
transcript.whisperx[462].end 12665.585
transcript.whisperx[462].text 請中嘉賓委員質詢
transcript.whisperx[463].start 12703.909
transcript.whisperx[463].end 12710.274
transcript.whisperx[463].text 主席、在場委員、先進、列席政務機關長、官員、會長、工作夥伴、媒體、記者、女士先生有請農業部陳部長跟農糧署的姚署長
transcript.whisperx[464].start 12721.27
transcript.whisperx[464].end 12744.736
transcript.whisperx[464].text 部長好 署長好 公糧收購調過頭會遭致弊端 百億的預算照顧農民應該農損優先 我們來看一下部長 跟你介紹兩個新聞 官商勾結倒賣公糧 為豬的飼料米流入營養午餐這是在2009年發生的 還有用劣質米換公糧 農會侵占遷入公糧 為什麼我們的公糧買一買怎麼變成飼料米呢
transcript.whisperx[465].start 12745.509
transcript.whisperx[465].end 12767.872
transcript.whisperx[465].text 有沒有覺得有點奇怪公糧真的會變成飼料米阿是不是如果量過多的時候他保存期限以後就變成飼料米好來公糧有時候會超過民糧的價格對不對結果呢在2013年發生我們屏東他低價買入市面的價格買入道股找人頭混充公糧出售後來被判刑啦好就是套利
transcript.whisperx[466].start 12769.013
transcript.whisperx[466].end 12778.319
transcript.whisperx[466].text 為什麼因為我們公糧過剩會轉為飼料米你說的嘛對不對那因為什麼原因會造成公糧過剩收購價格嘛是不是這樣
transcript.whisperx[467].start 12779.352
transcript.whisperx[467].end 12808.63
transcript.whisperx[467].text 所以收購價格會造成兩個問題一個是供過於求必須打入飼料米造成有弊端發生第二個公糧收購價格太高會讓有些人怎麼樣去套利是不是這樣子好我們來看一下前一張馬英九時期呢他調高公糧價格之後民糧的價格下跌了公糧高民糧價格低是不是會套利有可能嘛好往下看所以呢目前馬英九時期他調高了3元面積增加了多少
transcript.whisperx[468].start 12809.534
transcript.whisperx[468].end 12830.86
transcript.whisperx[468].text 大約3萬公頃3萬多公頃那如果我們現在調高到8塊錢有可能會增加到28萬公頃預算需要146億是不是這樣是是沒錯嗎好往下看好那我請問一下國內的農民單一作物最大面積的是什麼是不是稻米稻米是單一作物最大農民是不是都種稻當然不是嘛對那稻農占全體農民比例多少
transcript.whisperx[469].start 12832.315
transcript.whisperx[469].end 12844.874
transcript.whisperx[469].text 道農現在是22萬大概五分之一好那這五分之一的道農當中可以繳公糧的有多少大概一半沒有一半啦我算一算可以繳的不到35%啦
transcript.whisperx[470].start 12847.445
transcript.whisperx[470].end 12871.478
transcript.whisperx[470].text 全部的是不是?對,全部大概三成左右。三成五嘛,對不對?所以說,我們對農民的照顧花那麼多的預算,投入在公糧收購,調過頭了,會有弊端發生。好,往下看。那我們來看一下,那可以繳公糧的農民資格有很多嗎?我們看一下,這麼多、這麼多、這麼多,是不是這樣?在我屏東的,農民有種稻的,多數不能繳公糧。
transcript.whisperx[471].start 12872.518
transcript.whisperx[471].end 12887.297
transcript.whisperx[471].text 那他們期待什麼政府照顧?他們期待政府對他們建做的銅豆甚至有些是種香蕉的要補助、要支持。農業部有沒有照顧這些不是繳公糧的農民,不管他是不是盜農,有沒有要支持?
transcript.whisperx[472].start 12887.757
transcript.whisperx[472].end 12909.889
transcript.whisperx[472].text 我們還是用另外的方式去支持我們所有產業的農民,這是我們的責任所以這次山河颱風,農損將近4億,屏東六層最傷,其中香蕉上次我還要問你,現在電蓋開尾順帝有請九十個,現在還在請嗎?你說你要考慮條件一下,多年期的長年期都入,你們要考慮,有沒有?是修訂了怎麼樣了?
transcript.whisperx[473].start 12910.689
transcript.whisperx[473].end 12934.12
transcript.whisperx[473].text 我跟委員報告齁,現在我們其實昨天我們也在開會,那還沒有定論齁,就是針對跨年的齁,多年期的這些作物齁,本身齁,現在是以歷年制嘛齁,我們未來會考慮是以產期的制度,然後再加一些但書,如果說這個跨年的部分,如果遇到一些特殊的情況之下,可以再給予救助,這個部分我想我們還會再做進一步的,對
transcript.whisperx[474].start 12936.061
transcript.whisperx[474].end 12960.391
transcript.whisperx[474].text 好 來 我們看一下 如果是147億 我們來看看農業部147億可以怎麼用農天水利編50億 自然防火變成45億 能源還有明年要再16億防患豬瘟 還有農發基金29億 電價差的補助24億我看每一項 它的優先順位都不亞於去支持一個有限的可以繳公糧的稻農的稻谷收購 你同不同意
transcript.whisperx[475].start 12961.471
transcript.whisperx[475].end 12981.392
transcript.whisperx[475].text 我想我們也是這樣的一個想法去支持所有的農民是的所以我覺得萬事莫如舊災及這是農作天然災保險覆蓋率低嘛所以我希望我希望你們接下來的施政重點我當然知道每個委員有各自的重點但是我這樣講完很清楚我們政府照顧農民對不對
transcript.whisperx[476].start 12983.013
transcript.whisperx[476].end 13008.352
transcript.whisperx[476].text 這是我們的責任是,農民不是只有稻農對不對是稻農不是全部都可以繳公糧而且繳公糧的是少數對不對對所以我們這麼多147的資源是把優先來照顧這些需要幫助的農民同意同意好往下看所以結合是我們農業災害的天然保險的扣抵強制險之外到113年的7月覆蓋率只有17%怎麼樣提高怎麼改善
transcript.whisperx[477].start 13010.399
transcript.whisperx[477].end 13022.856
transcript.whisperx[477].text 我想整個農業的保險扣掉那個強制性的大概17左右那一個非常重要的就是它產量的一個基準的一個依據所以我已經要求我們的農經署做全面的一個檢討
transcript.whisperx[478].start 13024.707
transcript.whisperx[478].end 13053.508
transcript.whisperx[478].text 我不要說隨便開一個保單然後保護只有一兩個而已所以我希望說他真正的能夠降低農民的經營的風險我們以這個目標很好所以請研議最後的結論請研議提升不含強制性的農作物天然災害保險提升他的整理覆蓋的方案一個月提書面報告可以嗎可以我們可以提出來那請這個書面報告請你們的農金署的署長跟你們新任的農業金庫的董事長和董經理我們找個時間一起談一談來找我可以嗎可以可以謝謝
transcript.whisperx[479].start 13061.203
transcript.whisperx[479].end 13061.603
transcript.whisperx[479].text 請邱志偉委員質詢。
transcript.whisperx[480].start 13081.203
transcript.whisperx[480].end 13091.729
transcript.whisperx[480].text 市長,公糧保駕收購的歷史嚴格。當初會有公糧保駕收購,大概60年代,因為鼓勵基地生產。現在隨著國人使用米的習慣改變,加上從國外進口的數量也多,從1991年就開始。
transcript.whisperx[481].start 13108.837
transcript.whisperx[481].end 13130.19
transcript.whisperx[481].text 每年的這個稻米的生產大概都大於需求我想了解一下日本跟韓國分在87年民國87年跟94年都取消了這個所謂的保價收購的制度我想請教這個農業部對公糧保價收購這個制度的看法
transcript.whisperx[482].start 13136.82
transcript.whisperx[482].end 13150.814
transcript.whisperx[482].text 他會一直持續下去嗎?還是他會做制度的調整?照理說你現在稻米的每年都是供過於求,對不對?供過於求的數量大概是多少?每年大概多20萬噸20萬噸,那20萬噸怎麼處理呢?
transcript.whisperx[483].start 13156.006
transcript.whisperx[483].end 13182.528
transcript.whisperx[483].text 我想我們現在的公糧如果說進到公糧兩年以後我們會變成舊米然後舊米就會變成飼料米然後飼料米賣出有沒有尋求出口的可能性然後這是第二個部分第二個部分就是說他在一年一年內的這些米我們可以當作救助米然後少部分的會外銷那最主要就是因為公糧收購的時候不限品種所以他本身
transcript.whisperx[484].start 13184.67
transcript.whisperx[484].end 13193.835
transcript.whisperx[484].text 外銷的數量大概是多少呢?外銷大概十幾萬噸我們增加我們這個供給大於需求是20萬噸嘛那你就覺得說你多出來的就可以外銷啦?
transcript.whisperx[485].start 13202.594
transcript.whisperx[485].end 13211.708
transcript.whisperx[485].text 是嗎?我想公糧的外銷的困難度會比我們集團產區的品牌品的外銷的困難度還高因為它的品質不穩定
transcript.whisperx[486].start 13216.863
transcript.whisperx[486].end 13240.501
transcript.whisperx[486].text 全世界有保價收購只有台灣對於這個公糧保價收購而且只有單一品項對不對道米有沒有聽到其他的這個農產品也要要求保價收購我想我們在這一次的地方的一個座談跟之前的一些調查的過程裡面那其實針對
transcript.whisperx[487].start 13242.182
transcript.whisperx[487].end 13255.95
transcript.whisperx[487].text 花卉的雜糧的蔬菜的部分其實他們對這個公糧的提高的議題因為公糧提高的是因為成本的提高他們覺得說如果這樣的話他也希望能夠受到政府的照顧
transcript.whisperx[488].start 13264.915
transcript.whisperx[488].end 13279.126
transcript.whisperx[488].text 所以你要看10年20年這個公糧制度公糧保駕制度他的存續還是你要做調整還是他有個落日我跟委員報告就是我們現在的策略就是
transcript.whisperx[489].start 13281.14
transcript.whisperx[489].end 13300.292
transcript.whisperx[489].text 會支持稻農所的是我們必要的所以當你的產力價格比較高的時候他就不繳公糧了他就會繳民糧然後慢慢的慢慢的如果大家都繳民糧不繳公糧的時候他就可以自然而然的降低他的一個比重那這個部分我想我們是讓整個政策的裝軌制
transcript.whisperx[490].start 13301.893
transcript.whisperx[490].end 13304.795
transcript.whisperx[490].text 你未來會取消公糧收購保釣收購制度嗎?我想我們不會取消,但是我們會讓農民選擇
transcript.whisperx[491].start 13322.825
transcript.whisperx[491].end 13339.903
transcript.whisperx[491].text 當農民選擇繳到產地的時候那相對的公糧的你現在所提的一級二轉三加三那不是就是針對公糧制度在做改革嗎對做調整但是我不會說我就取消了公糧的收購我們不會這樣做但是我會讓市場慢慢的由農民來決定
transcript.whisperx[492].start 13341.404
transcript.whisperx[492].end 13368.011
transcript.whisperx[492].text 你能說明一下這個公糧收購的這個最大的政策的這個目的是什麼當初公糧收購最大的政策就是因為那時候缺糧現在基本上第一個有一部分是安全存糧的部分但是安全存糧依現在法定的是三個月那現在我們的安全存糧大概將近八個月到一年所以遠遠超過我們的安全存糧
transcript.whisperx[493].start 13369.191
transcript.whisperx[493].end 13376.786
transcript.whisperx[493].text 那你要慢慢調整到就是說我們安全存檔的規定三個月如果你做到三個月就好了
transcript.whisperx[494].start 13377.762
transcript.whisperx[494].end 13405.717
transcript.whisperx[494].text 那你現在多數5個月你現在到8個月嘛8個月到一年對啊多數5個月就把這個半年多數大概半年多7個月那這個部分是不是可以慢慢的往這邊去調整對我跟委員報告保駕照顧不是強制他一定要來是農民決定他要不要交所以當我把產地價適度的把它拉高的時候農民就會去繳產地的部分公糧收的就變得比較少以這幾年的例子來講從50幾萬變成30幾萬就是一個很好的例子
transcript.whisperx[495].start 13407.298
transcript.whisperx[495].end 13430.486
transcript.whisperx[495].text 所以最高的時候公糧的數量是佔總量多少?沒有,它最高的話一年大概56萬噸左右大概將近三成,兩成五到三成之間最高大概三成那現在是幾成?現在大概,沒有,現在在兩成三到兩成八吧我記得有一個數字
transcript.whisperx[496].start 13433.571
transcript.whisperx[496].end 13446.186
transcript.whisperx[496].text 現在已經不到三成了特別是這兩年大概只有兩成三左右報告裡面就是對於這個調高公糧價格會造成很多負面影響這部分你們做過相關的這個對
transcript.whisperx[497].start 13448.688
transcript.whisperx[497].end 13477.091
transcript.whisperx[497].text 聽農民的意見或者農事單位農業相關機構的意見我想我們在研擬這個方案的時候其實我們有包括地方的一些座談然後希望用什麼樣的方式然後包括跟集團產區其實我們做了非常多的座談然後這個政策我們從上個月開始我們已經啟動了所有的說明會大概20幾場的說明會那農民普遍聽起來是支持這樣的一個政策啦但我不可諱言的還是有少部分覺得說
transcript.whisperx[498].start 13477.671
transcript.whisperx[498].end 13478.532
transcript.whisperx[498].text 政策希望讓大多數的農民得利
transcript.whisperx[499].start 13505.543
transcript.whisperx[499].end 13525.447
transcript.whisperx[499].text 那不是讓少數的農民得利嗎?是,是所以你要這個是你的政策的這個在制定的最主要的依據另外,跟你討論一下農業保險投表率低的問題這個你應該有相關的EOE來處理就是說,你這2017到2024這個農業保險的這個預算有增加了3.51倍但目前的覆蓋率覆蓋率
transcript.whisperx[500].start 13536.249
transcript.whisperx[500].end 13539.55
transcript.whisperx[500].text 我跟委員報告這個保險預算的增加就是我們補助這個保險那我已經啟動了整個保險的重新的檢討我覺得保險不能說開了以後
transcript.whisperx[501].start 13563.032
transcript.whisperx[501].end 13563.873
transcript.whisperx[501].text 主席有請部長請陳部長
transcript.whisperx[502].start 13600.819
transcript.whisperx[502].end 13619.038
transcript.whisperx[502].text 委員吼這個部長我剛剛聽到你跟我們邱委員的詢答我忽然醍醐灌頂我忽然懂了你沒有要取消公糧收購嘛對不對我們現在不會取消公糧收購這個制度不會取消但你這實質費公糧啊
transcript.whisperx[503].start 13621.345
transcript.whisperx[503].end 13648.002
transcript.whisperx[503].text 你意思不就是這個?我聽他詢答過的就是這個意思啊來我要一個一個問你齁我們通過立法院的決議案齁就收購價格每公斤新台幣26元調升到5元啦齁那我想請問公糧價格多久沒調整了?一百年,上次的調整是一百年十三年沒調整嘛,對不對?是那基本性是調整幾次?四次吧調多少幅度?
transcript.whisperx[504].start 13650.427
transcript.whisperx[504].end 13658.454
transcript.whisperx[504].text 勞工基本薪資調整12次工資漲幅53.64%如果勞工薪資也調整不斷再給你13年好了26年後勞工薪資調整到100%那公糧收購價格你要不要調整
transcript.whisperx[505].start 13667.369
transcript.whisperx[505].end 13694.575
transcript.whisperx[505].text 我想我想勞工薪資要調整到什麼程度你才要調整公糧價格我想公糧收購要去調整他不是考慮到其他的勞工的基本薪資好沒關係勞工基本薪資你不看那我再看下一個13年來物價指數上漲多少?超過15個百分點然後央苗上漲的幅度多少?13年來部長這你手要掌握一下大概10%大概10%
transcript.whisperx[506].start 13697.858
transcript.whisperx[506].end 13699.759
transcript.whisperx[506].text 我講13年這都是我從你們農業部拿來的資料啦你看後面都在點頭上漲43%
transcript.whisperx[507].start 13718.28
transcript.whisperx[507].end 13743.449
transcript.whisperx[507].text 所以現在我們講農民的公糧收購除非你剛剛是廢掉這個制度照你的邏輯是什麼我管你漲到43、53、83、330你的意思都不動囉公糧收購價格都不動囉我想我們沒有說公糧收購價格一定不動我們現在說法就是你剛剛回答的時候反正我就放在那個地方你總有一天你要去什麼到一般市場去賣
transcript.whisperx[508].start 13744.927
transcript.whisperx[508].end 13772.368
transcript.whisperx[508].text 為什麼因為公糧收購價格照你的方式這樣擺下去你到最後賣給公糧是虧的你不就政策目的達成不過我想跟委員報告齁其實我們看的是我們關心的是產地的價格產地的價格才是支持產業的部長我回到跟你講一件事啊我們賴總統說啊他的使命是照顧2300萬台灣人民的生計啊然後要讓經濟的成功的果實跟全民共享難道農民是被排除在外嗎
transcript.whisperx[509].start 13773.257
transcript.whisperx[509].end 13801.804
transcript.whisperx[509].text 沒有我想我們農業部的責任也是要去照顧農民謝謝啦從公糧收購做起吧我還是回頭一件事啊13年光央苗就漲了43%農藥肥料13年漲了多少?漲了25%可是你就是聞風不動26元你就是不肯調我今天的話雖然立法院決議調5元啦可是你現在是一塊錢兩塊錢三塊錢你也都不調啊不是嗎?
transcript.whisperx[510].start 13803.732
transcript.whisperx[510].end 13820.802
transcript.whisperx[510].text 我跟委員報告齁其實我們農業部在看我們希望說照顧到農業的收益的過程之中我也要支持產業的永續發展這個才是重要的沒關係啦我支持你產業的發展理念你直接宣布公糧價格取消嘛制度取消你又不宣布取消你該派個實質判死刑
transcript.whisperx[511].start 13821.823
transcript.whisperx[511].end 13824.004
transcript.whisperx[511].text 可是相對的他的收益跟他的產量也在不斷的滾動所以我們看的是最後的一個收益的部分
transcript.whisperx[512].start 13850.399
transcript.whisperx[512].end 13874.095
transcript.whisperx[512].text 他的成本一直在漲,然後你的所謂的收購價格是固定在那個地方,你跟我講他收益在增加,我的數學可能沒有...沒有,我跟委員報告齁,因為我們的稻穀收購是雙軌的,所以現在稻農本身如果說你不繳公糧的話,你收益會不會比純粹繳公糧還高部長,我告訴你,你的政策齁,有些人受益,有些人受害
transcript.whisperx[513].start 13874.997
transcript.whisperx[513].end 13900.488
transcript.whisperx[513].text 但是今天公糧價格為什麼今天立法院決議要做這個調整就是因為對現在的農民這些公糧收購的農民不公平嘛你過去整個政策你沒有調整的過程當中更何況我跟你講我沒聽前面的委員質詢我還不知道你的目的勒你搞了半天就跟他講反正總有一天你就要去市場賣阿你意思是這樣阿我確實阿你照你的做法你就非得到市場賣阿
transcript.whisperx[514].start 13901.889
transcript.whisperx[514].end 13918.824
transcript.whisperx[514].text 公糧的收購是純粹指示繳公糧的人但是他會影響整個市場的一個機制的運作所以我跟你講你這麼情願直接把繳公糧這些人拖出去了啦我們會慢慢的引導他們到你沒有慢慢
transcript.whisperx[515].start 13920.188
transcript.whisperx[515].end 13946.441
transcript.whisperx[515].text 所以我們很多集團栽培的部分反正我就是價格定在那裡到時候你攪公糧的人你就不用來攪了我跟委員報告我剛才也說了就是說我們現在目前我們希望一級二轉參加三的部分我知道你現在你要為政策辯護啦但是說真的今天公糧收購攸關的農民喔我是覺得今天你剛剛在前面委員答詢的時候我請農民好好聽聽啦到底原因是什麼謝謝
transcript.whisperx[516].start 13954.52
transcript.whisperx[516].end 13955.52
transcript.whisperx[516].text 請認識保委員質詢謝謝主席有請農業部的陳部長請陳部長部長你好
transcript.whisperx[517].start 13981.653
transcript.whisperx[517].end 13999.578
transcript.whisperx[517].text 今天早上我來了幾次聽你講了半天了你的態度非常嗆硬喔我們立法院決議公糧收購價格增加5塊錢結果你現在講一些五四三都聽不懂喔反正沒有人要聽 耳朵都關起來那我就問你是不是1塊錢都不要增我跟你們說5塊錢我做不到我加個加個2塊加個3塊都沒啥理1塊錢你不可以增 幹嘛咧
transcript.whisperx[518].start 14009.529
transcript.whisperx[518].end 14017.816
transcript.whisperx[518].text 我跟委員講齁就是我跟委員報告齁就是我們看的是造體的成我們現在推了這個部分然後工糧的部分我們也會去處理我們以現在的規劃我們是不準備調整工糧的價格但是我們會試著我們後續的這些是我們立法院的決議
transcript.whisperx[519].start 14032.469
transcript.whisperx[519].end 14033.23
transcript.whisperx[519].text 請問你,農業部運燃預算多少?
transcript.whisperx[520].start 14050.301
transcript.whisperx[520].end 14075.353
transcript.whisperx[520].text 農業部公務預算是1692億基金預算大概747億2000億了對然後可用的可用因為有些撥補的部分可用的大概20002000多億了2000多億即便按照你算的其實你灌水很多啦說5塊錢的話會增加100多億這個是我們精算出來的那休耕怎麼算這個帳呢休耕為什麼算在裡面這個帳休耕休耕
transcript.whisperx[521].start 14078.646
transcript.whisperx[521].end 14080.907
transcript.whisperx[521].text 關水啊!你那關水把其他的算成這個帳啊!恐嚇啊!真的啊!部長啊!
transcript.whisperx[522].start 14101.734
transcript.whisperx[522].end 14126.025
transcript.whisperx[522].text 這個下一句話你可不可以回答?很簡單!卓榮泰或者賴清德叫你調你就調了啦!這樣就行了啦!看屯房稅這個公糧收購是一個很純粹的農業民生的問題結果這個看起來貌似中良貌似老實的一個陳部長原來這麼政治化來!我們來另外一個關心一個題目你不是喊出來
transcript.whisperx[523].start 14131.222
transcript.whisperx[523].end 14152.113
transcript.whisperx[523].text 本本是先鮮乳先來鮮乳結果現在是四年四十四一結果現在只有15%喝鮮乳80%喝另外的補救乳這個情況現在你自己督導半半喝鮮奶就是賴總統
transcript.whisperx[524].start 14154.397
transcript.whisperx[524].end 14183.197
transcript.whisperx[524].text 他上任以後的一個所謂的德政欸照顧我們的小孩子發育的更好營養更充足有蛋白質有鈣等等的喝鮮奶結果現在來講到你這裡執行的滴滴答答這個時候想到現在小學生變成農林榆木的救世主只要大陸那裡很卡結果馬上就學生來消耗
transcript.whisperx[525].start 14185.462
transcript.whisperx[525].end 14198.176
transcript.whisperx[525].text 2022年 蔡英文執政的時候 班班吃十班 總共花了六億九個月 收攤啦 我不知道你班班喝鮮奶 什麼時候要收攤
transcript.whisperx[526].start 14199.421
transcript.whisperx[526].end 14199.541
transcript.whisperx[526].text 是誰的口號?
transcript.whisperx[527].start 14217.749
transcript.whisperx[527].end 14217.769
transcript.whisperx[527].text 致詢
transcript.whisperx[528].start 14240.639
transcript.whisperx[528].end 14241.48
transcript.whisperx[528].text 什麼時候可以全部喝到?
transcript.whisperx[529].start 14263.351
transcript.whisperx[529].end 14263.751
transcript.whisperx[529].text 沒有 這個簽字到學校的下單的部分齁
transcript.whisperx[530].start 14281.118
transcript.whisperx[530].end 14282.72
transcript.whisperx[530].text 10月底一定可以喝到不一定喝鮮奶
transcript.whisperx[531].start 14303.403
transcript.whisperx[531].end 14303.704
transcript.whisperx[531].text 有什麼不一樣?
transcript.whisperx[532].start 14315.609
transcript.whisperx[532].end 14331.125
transcript.whisperx[532].text 他的品質營養都是一樣但是兩個就是他的配送的方式不一樣最後一個小問題就是欸哥法現在兩岸關係這麼緊張這麼不好欸哥法可能會全面取消喔這個對農產品的
transcript.whisperx[533].start 14332.947
transcript.whisperx[533].end 14346.335
transcript.whisperx[533].text 影響是很大的還是影響不大?我想我們很持續的關切這個議題那以現在目前ECFA本身的18個品項來講以112年大概4170幾億然後它的關稅成本大概581億那這個581億其實也是一個風險所以我們會積極的針對比較重要的這些品項這些品項其實我們也盤點了
transcript.whisperx[534].start 14357.822
transcript.whisperx[534].end 14358.122
transcript.whisperx[534].text 早就該做的嘛
transcript.whisperx[535].start 14381.381
transcript.whisperx[535].end 14405.286
transcript.whisperx[535].text 有媒體公開呼籲啦,我們台灣的經濟水平比大陸高這麼多,要幹嘛啦?要幹嘛啦?我想我們重視每一個市場,包括中國市場,我們都重視這個東西還要去WTO,WTO就是公平貿易,你要佔人家便宜回到WTO的話,現在我們很多也禁止大陸農產品進來對不對?
transcript.whisperx[536].start 14409.151
transcript.whisperx[536].end 14430.32
transcript.whisperx[536].text 禁止大陸農產品進來台灣吧有沒有這個是在多年前喔是嘛大陸農產品他也可以他自己都有啊他就是就是不管你是政治目的也好什麼的我們不要這樣看他沒意義的感覺就不要了感覺就不要了農產品就不要了
transcript.whisperx[537].start 14431.031
transcript.whisperx[537].end 14431.291
transcript.whisperx[537].text 請圖全基委員質詢
transcript.whisperx[538].start 14461.943
transcript.whisperx[538].end 14484.501
transcript.whisperx[538].text 好 謝謝主席 那請我們部長委員好 部長你好根據我們農業部主力農家所得的調查那稻農的家戶收入看起來說收入過去10年是有成長的
transcript.whisperx[539].start 14486.257
transcript.whisperx[539].end 14509.202
transcript.whisperx[539].text 那可是我們看這個報告發現其實他增加的都是農業外的收入可是他本身農業的收入其實並沒有成長也就是說他其實本身他在農業方面是沒有賺到錢他是靠其他的工作才追得上這個物價的成長這部分不知道部長有瞭解嗎
transcript.whisperx[540].start 14509.822
transcript.whisperx[540].end 14533.682
transcript.whisperx[540].text 我跟委員報告就是根據我們的農家所得調查裡面他有分為從事農業的所得跟從事非農業的所得所以這個這裡看起來是應該是兩者一起加起來的部分那相對的就是以我們現在來看整個稻農本身22.5萬戶裡面那我們的資料顯示就是說你如果
transcript.whisperx[541].start 14534.463
transcript.whisperx[541].end 14538.914
transcript.whisperx[541].text 用民間集團企作的所得會高於你純粹繳公糧的所得
transcript.whisperx[542].start 14541.485
transcript.whisperx[542].end 14566.226
transcript.whisperx[542].text 所以我們看根據這資料顯示其實他是靠農業外收入才讓他的所得有所成長那農業部說增加公糧收購的價格沒有辦法幫助到其他農家可是我們也查過針對這些其他像果菜雜糧這些農家他在10年的農業所得都比這些稻農高是不是也應該幫忙這些稻農
transcript.whisperx[543].start 14568.588
transcript.whisperx[543].end 14590.173
transcript.whisperx[543].text 我跟委員報告其他的這些品項其實他是認真的照顧讓他用優質的產品去取得市場的價格比較高來支撐他的所得那倒座的部分我們的集團產區的氣座栽培也是這個道理他用品牌去提高他的所得但是公糧就是唯一就是靠政府的提高價格
transcript.whisperx[544].start 14591.173
transcript.whisperx[544].end 14613.411
transcript.whisperx[544].text 所以我想我們也要引導就是要引導這些公糧的去做集團栽培用他的優質的稻米去支撐他的所得這個我想這個才是一個比較正常的一個市長機制好 所以我也看農業部的報告然後剛剛部長的說其實針對我們稻農的政策就是你們一級二轉3加3多元的輔導稻農
transcript.whisperx[545].start 14614.893
transcript.whisperx[545].end 14629.146
transcript.whisperx[545].text 向輔導他去做契作轉作甚至宣傳10米教育等等但是這些其實我們都是支持我們也支持但是看起來這10年做下來好像立竿見影看不到特別的成效
transcript.whisperx[546].start 14630.618
transcript.whisperx[546].end 14652.28
transcript.whisperx[546].text 我想整個稻作的一個產業結構的調整其實我們有其他的配套去做那最重要的是我把面積如果滋生在某一個面積的話大概是24萬公頃左右的話那相對的產力價格提高的時候對稻農的收益就有幫助所以我們的市選商我們的大區輪作包括我們的對地給付其實都是滋生稻農的這些所得
transcript.whisperx[547].start 14653.123
transcript.whisperx[547].end 14675.961
transcript.whisperx[547].text 而且你看喔最近喔其實你仔細去看現在喔肥料生產工具全部價格都成長好那農業部說怕這個公糧收購價格成長會帶動種植成本的再度上升可是你要知道這些這些公糧價格這十幾年沒調漲這些都已經漲成這樣所以我們說這十幾年
transcript.whisperx[548].start 14678.323
transcript.whisperx[548].end 14678.363
transcript.whisperx[548].text 我...我...
transcript.whisperx[549].start 14695.036
transcript.whisperx[549].end 14717.177
transcript.whisperx[549].text 您剛才講的肥料跟農藥的部分其實在這三年來其實它並沒有增加它增加這其他的部分因為我們對我們針對稻農我們也輔導它就是合理化私肥跟合理化用藥所以它的農藥本身並沒有太大的波動跟肥料的部分那整體來看它的成本是增加了
transcript.whisperx[550].start 14717.917
transcript.whisperx[550].end 14731.074
transcript.whisperx[550].text 大概9%左右大概10年間但是相對的他的產量也做了一些一些精進跟提高所以以稻穀每一公斤稻穀的產量的話他大概減少大概2%並沒有到達10%那樣子
transcript.whisperx[551].start 14733.437
transcript.whisperx[551].end 14751.17
transcript.whisperx[551].text 部長我說我們的糧政業務不是只有公糧收購價格這問題也有銷售計畫的面向像我們農家繳的這些公糧的數量跟稻農種植的面積它不是只有看價錢你看根據我們調查的數據顯示
transcript.whisperx[552].start 14752.731
transcript.whisperx[552].end 14781.36
transcript.whisperx[552].text 像我們112年我們預計收購382,000噸結果沒有收購到還去市場多採購4萬多也就是說事實上像氣候供水輔導休耕等等都可能會對它有所影響所以我說農業部不應該針對好像價格提高就會跟我們農民繳交這個數量畫上等號你擔心好像提高
transcript.whisperx[553].start 14781.9
transcript.whisperx[553].end 14800.42
transcript.whisperx[553].text 你就會收太多銷售不出我跟委員報告您這個表就是一個非常好的例子就是說當你在100年的108年的話我是7萬5那時候的面積是27萬然後到了112年是33點表示說他沒講那麼多是表示說你產力價值提高的
transcript.whisperx[554].start 14801.061
transcript.whisperx[554].end 14823.284
transcript.whisperx[554].text 因為農民繳公糧是自願的當你的產地價高的時候他就去繳產地了繳民糧了他就不繳公糧所以公糧本身的收購數就會變少這是一個好現象就是說因為產地價比公糧的收購價還高所以這個部分就是我們要控制面積盡量讓產地價提高才會讓我們的稻農的所得整體來提高
transcript.whisperx[555].start 14824.025
transcript.whisperx[555].end 14838.284
transcript.whisperx[555].text 所以我說啊基本上像我們農業部去做一些輔導他們轉型、企作然後甚至提高他的品質去有更好的價錢去市場賣他也不會說等你公糧價格來收購所以我們說
transcript.whisperx[556].start 14839.145
transcript.whisperx[556].end 14843.568
transcript.whisperx[556].text 我們應該 農業部擔心這個糧正業務造成財政負擔的問題我們說 其實應該針對去除純糧的數量還有收入金額的檢討 不應該單方面只檢討這個公糧收購價格支出的問題
transcript.whisperx[557].start 14857.6
transcript.whisperx[557].end 14880.238
transcript.whisperx[557].text 是 我想委員講得非常對就是說當我們在考慮我們公糧政策不會說就取消了 制度啦但是公糧本身的調整需要有一個機制去做一個檢討這個我想我們一定會去做但是以現在來講我們評估覺得在這個時間點我們去推一級二轉三加三的話會對於整個稻農的收益會更好
transcript.whisperx[558].start 14880.658
transcript.whisperx[558].end 14895.696
transcript.whisperx[558].text 那後續我們也會來檢討這個公糧本身的這些收購的部分不只是看那個價格還要看其他的因素這個後續我們會來處理部長我們是建議啊都能夠並存啦是你公糧收購價格提高其實是公平正義啊十幾年沒調漲
transcript.whisperx[559].start 14896.897
transcript.whisperx[559].end 14918.946
transcript.whisperx[559].text 那所有的你也知道其他的生產工具這些都長成這個樣子你公糧沒長他都長成這樣子那你其他的輔導轉型提升他的品質輔導他器做等等你也可以盡量去做啊等他做到好他可以賣更好的價錢他也不會等你公糧來回收啦所以我是覺得這個還是可以多頭變形十幾年沒調漲公糧價格應該還給我們這些稻農公平正義
transcript.whisperx[560].start 14928.447
transcript.whisperx[560].end 14929.007
transcript.whisperx[560].text 請郭國文委員質詢請陳部長
transcript.whisperx[561].start 14947.384
transcript.whisperx[561].end 14973.943
transcript.whisperx[561].text 委員部長好部長那個公糧收購不應該成為稻農的唯一提高收入的一個方法吧是好那但是大家已經討論非常多但是本席呢想要針對最近發生的這個台米颱風的問題之後呢那我們看到貴部啊修正這個天然災害補助辦法受理時間呢延長了到10天10個工作天
transcript.whisperx[562].start 14974.864
transcript.whisperx[562].end 14980.327
transcript.whisperx[562].text 然後災損又再延長5天持發性的認定提報從3個月變成6個月取消了20%的規定只確認這個重養殖的事實是不是有這樣的修正
transcript.whisperx[563].start 14990.953
transcript.whisperx[563].end 15013.008
transcript.whisperx[563].text 對 我想非常感謝委員一直對天然災害救助應該更貼切到農民那我們從基層端受理的時候他如果限於10天公所的壓力會很大所以我們做彈性的調整從日一天變更多的天你前面的作業要調整本期沒有什麼太大建議你要確保後面的認定不要有所爭議但是關鍵還是撥補的部分要趕快
transcript.whisperx[564].start 15017.071
transcript.whisperx[564].end 15034.15
transcript.whisperx[564].text 你像現在呢最近這件事情呢從7月啊那個7月的時候所認定的這一個那個天然災害的認定你不分品項這個是好的作為但是申請之後到現在已經快一個一季了
transcript.whisperx[565].start 15035.111
transcript.whisperx[565].end 15056.82
transcript.whisperx[565].text 都還沒有什麼 去7月16號到現在全品項的先進救助都殺各位我每天這些基層被人家問欸昨天晚上我還收到LINE對我知道 跟委員報告齁我們只要收到地方政府報上來3年之內一定播然後我們播到地方政府地方政府才會轉播所以你是說出在地方政府嗎對 我們的資料顯示齁我們現在
transcript.whisperx[566].start 15059.861
transcript.whisperx[566].end 15079.296
transcript.whisperx[566].text 我們現在的資料顯示以台南市來講齁就是他提出來大概是5億多對齁然後現在已經撥付了3億多然後還有2億多那2億多也是這幾天來的我們3天之內一定會撥出去是齁那有一部分的區域污染啦齁因為縣市政府區域的話可能縣市政府還要復刊
transcript.whisperx[567].start 15080.116
transcript.whisperx[567].end 15102.399
transcript.whisperx[567].text 他還沒有送到農業部部長如果是假設深圳政府行政流程延誤的話你們也從你們一個這個指導單位當中應該去跟他調整一下那個縮短那個流程嘛否則的話我們當初要求你們下來進行撥博每天是被人家問那決定權又在你們身上那不是我們好不好我想我們會一起來努力針對地方政府在撥的部分
transcript.whisperx[568].start 15104.06
transcript.whisperx[568].end 15124.282
transcript.whisperx[568].text 另外一個就是有一個擴大灌區的部分因為以前在山區的部分本期的部分南西玉井的部分都還是灌區但是你們在去年的時候說沒有水源把它變成非灌區但問題呢過往以前有一些灌溉的這個溝渠兼排水的作用
transcript.whisperx[569].start 15124.923
transcript.whisperx[569].end 15150.663
transcript.whisperx[569].text 但是呢那些設備大家還是要使用啊就後來就找不到事主沒有人要補助啊說你們就要廢除掉了違反信賴保護原則嘛當初把它劃已經劃到裡頭了這是第一個問題部長第二個問題呢之前我們的擴大灌區擴大那個非灌區擴大灌區的概念就是原來的灌區以外的一個非灌區的部分把它擴大本來就是農業部的政策不是嗎是
transcript.whisperx[570].start 15152.225
transcript.whisperx[570].end 15163.581
transcript.whisperx[570].text 對阿 那農業部的政策之後呢後來又變成是充滿變數本來呢在南西有一個示範區後來也沒有可能再大就沒有消息了那本席很想知道你這政策的態度到底是如何
transcript.whisperx[571].start 15164.76
transcript.whisperx[571].end 15181.637
transcript.whisperx[571].text 我跟委員報告 特別是南溪的部分 我也要求我們農水組去趁著執行因為擴大灌區本身是我們農業部既定的政策 不管怎麼樣一定要克服這個一定要克服 就算地方有一些 早期的好像沒人管
transcript.whisperx[572].start 15182.117
transcript.whisperx[572].end 15193.113
transcript.whisperx[572].text 但是他只要是能夠提供我們農民的水資源我們就會去服務這個我已經要求我們農水組確實去做到政策要延續是好的政策過去認為是一個慣區的東西你既然大政策要動
transcript.whisperx[573].start 15197.679
transcript.whisperx[573].end 15198.279
transcript.whisperx[573].text 最後呢我要跟您講一件事情齁
transcript.whisperx[574].start 15225.618
transcript.whisperx[574].end 15250.595
transcript.whisperx[574].text 我最近在進行那個台日交流,日本方的國會議員就講說那個蔓苗的部分很奇怪台灣的蔓苗都不能過去他們那邊反而走私到香港,你先看這個圖在2007年的時候我們的頭期蔓禁止出口之後結果呢我們就沒有蔓苗出口結果後來變成這個紅線都從香港到日本原因在哪裡?原因很簡單嘛,就是我們走私到那邊去嘛
transcript.whisperx[575].start 15251.155
transcript.whisperx[575].end 15276.45
transcript.whisperx[575].text 那麼走私跑去那邊之後人家說我們就開放漁業協定的時候大家來談就好了就問了一下漁業協定也沒有協定明明是一個很大問題臺日之間有漁業協定為什麼不能拿出來談呢對不對然後第二個問題正慘的是我們現在蔓延要從哪邊來我們走私出去蔓延要從哪邊來就從中國大陸來那如果中國大陸來的話哪一天養套殺又把你斷掉那你臺灣的蔓延草原不是game over了嗎
transcript.whisperx[576].start 15277.421
transcript.whisperx[576].end 15300.349
transcript.whisperx[576].text 對不對?部長,這問題很重耶!特別是蔓苗的部分,特別是投蔓苗的部分我們也希望說,第一個我們要確保我們自己的一個產業第二個蔓苗可以銷日本的部分,我們一定要透過任何的管道去溝通啦!包括那個時間點,因為剛好日本的這些產季跟我們錯開的部分有沒有辦法更好的方式?現在因為有一些可能
transcript.whisperx[577].start 15301.369
transcript.whisperx[577].end 15328.881
transcript.whisperx[577].text 受到特別的這些蔓苗的傷在左右啦那這個部分我想我會要求那個那個漁業署這邊部分一定要去解決我可以說一定要要求漁業署這個蔓苗產業啊岌岌可危啊你把你的生命的那個咽喉掌握在對方的手中什麼時候被掐了你都不曉得對我們也不希望這個發生我想我們會要求漁業署這邊謝謝委員的提醒我們本來在軟牛上是最有優勢的地方來投機盲是最好的耶
transcript.whisperx[578].start 15329.941
transcript.whisperx[578].end 15330.601
transcript.whisperx[578].text 請楊瓊英委員質詢謝謝主席 邀請陳部長
transcript.whisperx[579].start 15364.633
transcript.whisperx[579].end 15382.445
transcript.whisperx[579].text 會長好,針對今天召委所排定的議程,我們的目的也就是要好好照顧農民。從早上到現在本席所聽的,也就是似乎您的方向跟提案委員的方向是不太一樣。
transcript.whisperx[580].start 15384.478
transcript.whisperx[580].end 15409.354
transcript.whisperx[580].text 當然本席也可以看出說你終結還是希望能夠好好的照顧農民對不對但是我們就實務的民主程序來看也就到目前為止立法院在7月16號通過的公糧收購案來要求你因綜合考量各項的成本
transcript.whisperx[581].start 15410.074
transcript.whisperx[581].end 15428.677
transcript.whisperx[581].text 包括人工包括肥料包括物價指數將公糧收購的價格呢從26塊來提升5塊以因應目前物價指數的一個波動導致我們農民他的一個成本的一個增加
transcript.whisperx[582].start 15429.298
transcript.whisperx[582].end 15454.607
transcript.whisperx[582].text 因為十幾年都沒有提升這是你政府的政策但是到目前為止立法院三讀通過那麼行政院也沒有復議因此在10月9號的時候財政部跟主計單位來立法院報告我們就針對民主程序他一句話他說尊重農業部
transcript.whisperx[583].start 15456.227
transcript.whisperx[583].end 15465.418
transcript.whisperx[583].text 所以本期要請教農在行政院也沒有做復議的情況之下現在要請你們從議你會不會編提高公糧收購的價格的預算你會不會編
transcript.whisperx[584].start 15472.305
transcript.whisperx[584].end 15473.968
transcript.whisperx[584].text 請告訴我會不會編:針對本席的提問因為立法院7月16號通過那在這樣程序行政院也沒有附議
transcript.whisperx[585].start 15489.668
transcript.whisperx[585].end 15500.557
transcript.whisperx[585].text 那10月9號剛才本席所說的論述所以本席還是要請問你你會不會編在你行政院從議的時候農業部會不會編公糧收購提高的價格我們現在目前並沒有去針對五塊錢的經費去做經費的調整但是我們增加所以換句話說沒關係我們一項一項講所以換句話說你不會編
transcript.whisperx[586].start 15517.711
transcript.whisperx[586].end 15520.533
transcript.whisperx[586].text 是不是?目前沒有編未來會不會編?民主程序行政院沒有復議你會不會編?你告訴我會不會就好那你告訴我針對於立法院7月16號所通過的這個決議那你會不會編?
transcript.whisperx[587].start 15541.294
transcript.whisperx[587].end 15544.924
transcript.whisperx[587].text 所以換句話說你不會變我可以這麼解讀嗎?我可以這麼解讀嗎?
transcript.whisperx[588].start 15549.326
transcript.whisperx[588].end 15554.829
transcript.whisperx[588].text 請針對本席的提問我們現在是一個民主國家照程序各方有各方的意見不一都可以討論但是我們現在走到民主程序是這樣子請問農業部部長陳部長你會不會依據立法院三讀通過行政院送請行政院行政院沒有賦予你會不會編這個預算
transcript.whisperx[589].start 15578.539
transcript.whisperx[589].end 15584.203
transcript.whisperx[589].text 我還是跟委員說明你會不會編告訴我請告訴本席你會不會編我們現在目前並沒有這樣的規劃我們希望委員來支持換句話說你就是不甩立法院嘛行政院也沒有復印
transcript.whisperx[590].start 15594.97
transcript.whisperx[590].end 15616.405
transcript.whisperx[590].text 行政院沒有復議你現在告訴本席是說你不會編我要讓社會大眾大家看清楚誰要照顧農民我們得到了一個答案也就是說立法院三讀通過行政院沒有復議竟然我們農業部也不編我要告訴給民眾我要告訴給農民
transcript.whisperx[591].start 15625.43
transcript.whisperx[591].end 15627.671
transcript.whisperx[591].text 我請問你還是聽你的話在繳公糧的人這些人怎麼辦這幾年沒有提升這些人怎麼辦這些人怎麼辦
transcript.whisperx[592].start 15651.343
transcript.whisperx[592].end 15653.584
transcript.whisperx[592].text 我告訴你這一些人沒有功勞也有苦勞阿沒有理由不照顧他們阿我今天要轉什麼政策都好但是聽你的話的人
transcript.whisperx[593].start 15674.724
transcript.whisperx[593].end 15698.156
transcript.whisperx[593].text 竟然是這麼樣得不到照顧那你要怎麼辦 你對得起他們嗎 對不對你要不敢廢掉你要做什麼政策 我們都OK但是是未知數欸現在乖乖聽你政策的人還在繳公糧的人十幾年十幾年你薪水都漲了幾次啊十幾年都沒有漲
transcript.whisperx[594].start 15699.036
transcript.whisperx[594].end 15701.818
transcript.whisperx[594].text 你還大大大地說我要照顧他我請問聽你的話的人該當得到懲罰嗎?不應當所以部長我相信你也是照顧你也是照顧農民的人本席的話你好好去聽沒說話沒哭話乖乖聽你的竟然還要得到懲罰十幾年沒長對不起我們的農民
transcript.whisperx[595].start 15721.095
transcript.whisperx[595].end 15729.729
transcript.whisperx[595].text 你自己冷靜去想我希望在你從議的預算能夠看到這筆預算好不好你趕快去研議接下來本期要跟你討論的
transcript.whisperx[596].start 15731.192
transcript.whisperx[596].end 15755.997
transcript.whisperx[596].text 也就是極端氣候我們現今救助的部分32.7億在累計這10年來平均你支出這樣子那在這種情況之下我們好不容易去推動農保 農業保險可是我們看到你的數字你明年所編列的是11.3億左右但是我們看到你實施的也就每一年
transcript.whisperx[597].start 15757.357
transcript.whisperx[597].end 15772.764
transcript.whisperx[597].text 這上映但是我們看到你的數字我們的農保覆蓋率他沒有達到兩成耶為什麼為什麼你這扣掉扣掉你的這個強制納保的這個部分你實際上只有多少
transcript.whisperx[598].start 15773.524
transcript.whisperx[598].end 15798.042
transcript.whisperx[598].text 只有多少 17.6%所以該當怎麼辦該當怎麼辦 極端氣候像我們的離子我沒有想到它掉在袋子裡頭耶結果它是不會長 因為它的根斷了一半對不對 我們都去看了每一次我們都要現金救助 我的心都痛了農民該當怎麼辦 我們好不容易有一個政策去做這個農業保險 那為什麼
transcript.whisperx[599].start 15800.928
transcript.whisperx[599].end 15809.274
transcript.whisperx[599].text 為什麼執行不來?扣掉強制保險,剩下17.6%,你要怎麼因應?你要怎麼因應?你要求他們重新檢討,什麼時候有因應方案,你是推廣不夠,人民沒有信心,還是認為我都沒問題,我要怎麼辦?那你講話要讓
transcript.whisperx[600].start 15826.407
transcript.whisperx[600].end 15843.119
transcript.whisperx[600].text 農民聽得懂啊 要讓你 人家對你有信心啊所以我覺得要求農經署跟我們的所屬單位再去跟農民做溝通 因為不是只有溝通 他們很辛苦都有在溝通我覺得保單的設計如果好的話保單設計好的話一定會你現在講到重點 保單的設計也就是我這棵柴 有湯薄 可以賠我隔壁不能賠 誰會甘願啊
transcript.whisperx[601].start 15855.836
transcript.whisperx[601].end 15856.878
transcript.whisperx[601].text 這樣是不公平的我這股產我這一塊圓我可以賠我隔壁的不能賠
transcript.whisperx[602].start 15866.158
transcript.whisperx[602].end 15892.058
transcript.whisperx[602].text 你的請募方式要不要去跟保險公司去檢討啊?這個就是我要求農金屬檢討就是保單的設計跟保單的理賠的標準跟保單要發生理賠的這些調查這個都需要精心去精準的去計算你的調查你應該點要放多啊對不對?這個我們已經要求農金屬再處理而且時間可以告訴我們你們討論的方向改變的方案
transcript.whisperx[603].start 15893.087
transcript.whisperx[603].end 15895.85
transcript.whisperx[603].text 最後一個議題本席請問你為了這個雞蛋進口的搞的送檢調行政處分不知道答案是什麼本席絕對不願意看到一個國家是這麼的紛亂
transcript.whisperx[604].start 15920.54
transcript.whisperx[604].end 15934.214
transcript.whisperx[604].text 要進口搞了這麼多的事情現在每一天我們剩餘每一天耶雞蛋農啊苦哈哈每一天剩餘多少一百萬克
transcript.whisperx[605].start 15936.092
transcript.whisperx[605].end 15940.334
transcript.whisperx[605].text 你們的主管告訴我們什麼?未來會請國防部學校多使用雞蛋並請養雞協會規劃雞蛋促銷活動以協助消化雞蛋這個不是我們的政策不是你的政策為什麼要這麼說呢?讓我們一桶霧水欸我告訴你這個寫這句話我們的國軍我們的學生他要以他的營養為基準來吃東西欸
transcript.whisperx[606].start 15965.668
transcript.whisperx[606].end 15982.395
transcript.whisperx[606].text 對所以我說這個絕對不是我們的政策我先說明這個絕對不是我們的政策那相對的學校的營養午餐一定是營養師根據學童的需求去設計的我們不會去干涉那這該怎麼辦這樣的表示要怎麼處理你要不要澄清
transcript.whisperx[607].start 15985.996
transcript.whisperx[607].end 15988.037
transcript.whisperx[607].text 本席不希望造成家長孩子我們的阿兵哥家長都恐慌所以本席要請教那怎麼解決
transcript.whisperx[608].start 16009.505
transcript.whisperx[608].end 16011.725
transcript.whisperx[608].text 部長你現在說的還是在怪罪於業者啦你應該針對你是農業部阿
transcript.whisperx[609].start 16037.091
transcript.whisperx[609].end 16047.611
transcript.whisperx[609].text 你要拿出你的方案 你的總計要不要控管你要從源頭啊 你不從源頭叫人家今天多生一點明天少生一點
transcript.whisperx[610].start 16049.655
transcript.whisperx[610].end 16076.551
transcript.whisperx[610].text 誰聽你的話他要生出來不生怎麼辦啊你應該從總機去控管本期要跟你討論這個議題也就是說你應該要好好的去討論我們要解決這個問題你一方面要進口二方面又剩餘那麼多你的問題點交集點在哪裡你的最原本他這個蛋從哪裡來從總機來總機要不要控管
transcript.whisperx[611].start 16077.071
transcript.whisperx[611].end 16094.905
transcript.whisperx[611].text 你有沒有控管總機有沒有去輔導請教我們有在輔導現在總機有在控管但是一個非常重要的就是說我不大願意再用補助的方面去將他們淘汰因為我淘汰了老母雞他們又進了新雞那對整個產業是沒有幫助的你講到這邊也就是部長我們一個結論你以往的政策你給老母雞我一隻一隻多少錢啊
transcript.whisperx[612].start 16103.157
transcript.whisperx[612].end 16123.87
transcript.whisperx[612].text 去除的一支多少錢嘛 對不對鼓勵他們去除嘛 對不對你執行了一段時間你應該要滾動式去檢討所以表示之前的這個政策你是不成功的那你要怎麼辦你應該有研議方案出來好不好你去研議方案出來啦進口出了那麼多的
transcript.whisperx[613].start 16124.991
transcript.whisperx[613].end 16125.311
transcript.whisperx[613].text 我大概兩個禮拜就可以提供給
transcript.whisperx[614].start 16152.739
transcript.whisperx[614].end 16155.5
transcript.whisperx[614].text 我想還趁這個機會能夠呼籲我們的消費者因為供需總是要有一個平衡那在需求端的部分希望說我們鼓勵我們所有的消費者
transcript.whisperx[615].start 16179.631
transcript.whisperx[615].end 16179.751
transcript.whisperx[615].text 請蔡議員發言
transcript.whisperx[616].start 16217.95
transcript.whisperx[616].end 16219.756
transcript.whisperx[616].text 好 謝謝主席 那我們是不是有請部長請陳部長
transcript.whisperx[617].start 16228.376
transcript.whisperx[617].end 16255.927
transcript.whisperx[617].text 委員好部長好部長因為今天在討論這個公糧的收購價格事實上我過去也召開協調會甚至我在質詢的時候我也是有跟農業部這邊說如果我們在於針對農民的收入提高公糧的價格是可以考慮的一個辦法但是提高公糧價格我們除了稻農要照顧之外事實上還是有其他的農民
transcript.whisperx[618].start 16256.847
transcript.whisperx[618].end 16285.683
transcript.whisperx[618].text 是,我想以農業部的立場就是說我們對產業對所有的農民都要有比較一致性的照顧的一個方式對,所以事實上部長你也知道說就像嘉義啦嘉義或是雲林啦我們就是正好介在平原的地方大概都是種植稻米比較多那在沿海地方就是種植雜糧雜糧的部分,對那如果是雜糧,你說黃小玉講玉米就好了,講玉米
transcript.whisperx[619].start 16287.563
transcript.whisperx[619].end 16304.389
transcript.whisperx[619].text 這個玉米的保價收購多少錢?9塊現在是每公斤9塊9塊嘛對不對我看起來已經將近40年了40年沒有調整那個不是保價那是器做的一個價格他是器做價格所以他是沒有調整他唯一價格好的時候就是在
transcript.whisperx[620].start 16306.369
transcript.whisperx[620].end 16330.278
transcript.whisperx[620].text 這個疫情的時候那個時候因為航運出問題他有把他的玉米價格有飆到了差不多12塊那是他最好的時候看起來隨著疫情的結束那航運現在已經都順暢了整個價格又掉下來現在大概又掉到7塊多所以你現在對於種植雜糧的農民他是事實上種10年都覺得吃不公平
transcript.whisperx[621].start 16331.355
transcript.whisperx[621].end 16349.056
transcript.whisperx[621].text 因為你如果想,我們好的土地有打造水路、有打造灌溉的,那些都是種稻米的,種雜糧的,他們就是叫做旱區,旱區本身他們那裡的水也比較少,那是種不公平的。然後我再跟部長提示一個問題就是說,你們一直在說
transcript.whisperx[622].start 16351.584
transcript.whisperx[622].end 16364.743
transcript.whisperx[622].text 像現在你們要說一級二轉那一級二轉的我講這個二轉二轉的精神就是說我們希望稻米減量啊稻米減量齁啊這個自然價格會上車嘛剛才說芥農就會講到供需的問題啊
transcript.whisperx[623].start 16366.725
transcript.whisperx[623].end 16375.974
transcript.whisperx[623].text 所以如果種植的減少了自然它的稻米的價格會上升這個是第一個問題第二個就是說我們還是希望這個把種稻因為台灣的稻米糧食過剩所以我們希望把種稻的面積轉為去做轉做轉做雜糧或轉做其他的類似蔬菜蔬果類
transcript.whisperx[624].start 16388.045
transcript.whisperx[624].end 16416.608
transcript.whisperx[624].text 那轉做的話我們有給他這個轉做金對我跟委員報告就是說這些水稻因為二級做本身的收益就比較比一起做還不好所以我們希望說二級做的部分你如果轉成雜糧的部分轉成其他的部分我們給他一萬五的不重道獎勵以外那相對的這些後續送雜糧的部分我們也會引導一些集團栽培來協助他我們也會補助一些農業的機械讓他也變成一個比較自動化的機械化的一個栽培
transcript.whisperx[625].start 16417.348
transcript.whisperx[625].end 16441.99
transcript.whisperx[625].text 所以我們說有這個不中道獎金但是我要跟部長講這個在農民在實踐上有他的一個困難這個困難就是我要說的因為我們現在又我們有很多政策要大家一起來全面去看我們現在又有所謂四選三我們又有大區輪座但是我們的四選三是讓農民去選所以你現在說好我要把它轉成不中道獎金他去做
transcript.whisperx[626].start 16442.992
transcript.whisperx[626].end 16448.847
transcript.whisperx[626].text 種植玉米他去種植漢作,但是他種植的時候,他最怕的是怕什麼?怕旁邊的人繼續要種植啊?
transcript.whisperx[627].start 16451.227
transcript.whisperx[627].end 16455.169
transcript.whisperx[627].text 所以這就是委員一致關心的那我們現在就是說以前是純粹當然沒有說都是自願的啦但是我們希望說他在輪作的時候能夠用一個集團的概念去處理
transcript.whisperx[628].start 16475.658
transcript.whisperx[628].end 16492.43
transcript.whisperx[628].text 那這樣處理的時候會比較不會造成說隔壁中水道這就沒辦法我們期待他這個一定要你們用所以我們有一些政策的誘因去處理政策誘因之外我感覺稍微施加強制啦你如果說我這區就要用四選三啊既然這樣就讓他們集體做四選三讓他們的決定一樣嘛
transcript.whisperx[629].start 16497.274
transcript.whisperx[629].end 16515.986
transcript.whisperx[629].text 對,我想我會做相關的一個規範,這個部分委員上次有提到齁,我們已經在做一些規範,就是想辦法讓他們一致性,雖然說自願的,但是他的自願的一致性是非常重要的,這個部分我想我們會再做後續的更精進的一些誘因的設計。部長你也知道,我們最近我才跟你討論說,加金輪高位來齁,不要說紅胎啦,加煉水爐齁。對。
transcript.whisperx[630].start 16526.653
transcript.whisperx[630].end 16542.818
transcript.whisperx[630].text 就有困難對連種植綠肥都有困難了餒是對阿所以你也知道說你那種漢做的尤其他在大家開始齁要補的時候他是很怕水的是阿他如果怕水阿像我剛才講的你沒有辦法做好整體的控管等於是說對於當地農民的種植他是很困擾的了解
transcript.whisperx[631].start 16546.079
transcript.whisperx[631].end 16560.894
transcript.whisperx[631].text 所以我覺得我們農業部我們除了這要一級二轉然後要去提高農民的收入事實上很多配套措施還是要讓整個農作是順暢的瞭解阿不是空氣多點的話因為他們總會遇到很多這種我們沒辦法去預測的一個狀況好不好
transcript.whisperx[632].start 16564.285
transcript.whisperx[632].end 16585.6
transcript.whisperx[632].text 阿第二個齁就是我要講到這個農業保險這個農業保險因為我上次只講到時間比較短齁就是說這個農業保險齁我們知道這個保險覆蓋率事實上剛剛那個郭國文委員有講到保險覆蓋率是一直偏向不足那這個保險覆蓋率不足勒主要還是說他除了強制
transcript.whisperx[633].start 16586.64
transcript.whisperx[633].end 16614.158
transcript.whisperx[633].text 強制的部分之外我們去用加強型的但是這個加強型的勒對於農民來說那個誘因就是機會起來雖然我們政府都有補助像我們在嘉義我們嘉義縣政府又再補助三分之一啊農業部這邊也補助三分之一剩下的部分對農民來說大家都說保費不高可是問題他們去補的誘因就沒有啊所以我覺得部長你們有去跟農民聊然後去了解到底實際原因出在哪邊嗎
transcript.whisperx[634].start 16616.419
transcript.whisperx[634].end 16641.301
transcript.whisperx[634].text 我已經請農金署重新去檢討第一個我覺得保單的設計非常重要保單的設計如果沒有當然理賠不是要去賺錢但是保單的設計一定要符合風險那另外一個就是保單理賠的時候的調查那個非常重要因為調查如果說你沒有一個比較均勻的樣本數的時候就會造成很大的爭議那有一些保單是因為你理賠的爭議性造成農民覺得說
transcript.whisperx[635].start 16642.602
transcript.whisperx[635].end 16647.083
transcript.whisperx[635].text 這部分就是大家都驚訝我覺得對於農民來說誘因不足這只有在一個他們覺得不合用而且現在我覺得農民事實上還是都把這一個
transcript.whisperx[636].start 16665.567
transcript.whisperx[636].end 16677.657
transcript.whisperx[636].text 這個保險因為他們過去有天然災害的一個救助所以他們認為說既然有天然災害救助跟這個保險跟這個保險有災害救助然後這個保險沒有更好的誘因
transcript.whisperx[637].start 16678.902
transcript.whisperx[637].end 16682.745
transcript.whisperx[637].text 我個人來講我不要衝那個品項越來越多我寧願品項如果說覺得沒有什麼效果我寧願關掉我寧願讓開的保單都是農民需要的
transcript.whisperx[638].start 16704.46
transcript.whisperx[638].end 16705.602
transcript.whisperx[638].text 好部長我最後一個問題齁我們那個鋪紙肉品市場那
transcript.whisperx[639].start 16720.677
transcript.whisperx[639].end 16743.588
transcript.whisperx[639].text 阿甘現在到底稍微算可以開始興建阿甘現在對待的就是說若敏市長現在的經費大概都已經在那邊了但是相對的就是說他必須要有一個經營主體來去做這樣的一個承接可是這不是討論好久的嗎對 那個經營主體本身現在還談不攏阿
transcript.whisperx[640].start 16744.942
transcript.whisperx[640].end 16754.833
transcript.whisperx[640].text 對,這個部分我想我們會後有機會再跟委員報告。那到底什麼時候可以發報?那現在工程應該可以先開始了吧?因為工程還是需要時間的,你要知道我們在鋪紙肉品市場的決策就是當時把它停的太早。
transcript.whisperx[641].start 16765.385
transcript.whisperx[641].end 16770.35
transcript.whisperx[641].text 對於這些肉品的這個承銷人,他們也增加了他的不便利。當然這部分,我們農業部有補助他,但是問題都一直還在啊。這些問題又等到興建好正式營運上路,靠阿都該關欸。
transcript.whisperx[642].start 16791.108
transcript.whisperx[642].end 16814.549
transcript.whisperx[642].text 現在看到你們到底什麼時候可以新建這件事情大家都不知道那個經營主體要出來才能提計畫才能夠去執行啊而不是說因為現在沒有一個主體去提計畫來執行那因為包括我們的嘉義縣政府嘛然後還有續展會嘛然後還有嘉義的這些農會的部分嘛
transcript.whisperx[643].start 16814.989
transcript.whisperx[643].end 16825.366
transcript.whisperx[643].text 那這三個三方要合資成一個公司以後再來提那這三方現在還在做協調我們會來努力做一個基本的這個協調也好久了那到底問題是出在哪邊
transcript.whisperx[644].start 16827.543
transcript.whisperx[644].end 16844.932
transcript.whisperx[644].text 這個我想有他們的不同的想法啦那這個部分我想可能後續我們還會再努力啦部長我覺得這個是要加速啦因為那個官黑後面是很多人的包括是他整個我們嘉義地區肉品的產業鏈都因為這件事情都出總控了因為肉品
transcript.whisperx[645].start 16845.732
transcript.whisperx[645].end 16864.001
transcript.whisperx[645].text 普子肉餅市長是一個典範他是一個那個土體的分級的一個那個拍賣的部分他跟現在的活動拍賣是不一樣的所以他是一個我們也很期望他趕快大家都期待啊但是隨著時間一直拖一年一年過去我們盡量來協調他們的經營主義這課程要拖很久的耶我們很感動的不然我們經費掛在那邊也不是辦法好好好趕快加速麻煩謝謝
transcript.whisperx[646].start 16881.384
transcript.whisperx[646].end 16896.579
transcript.whisperx[646].text 請侯孟楷委員質詢主席謝謝好主席謝謝麻煩請陳部長請陳部長
transcript.whisperx[647].start 16905.165
transcript.whisperx[647].end 16915.664
transcript.whisperx[647].text 部長 辛苦啦不過剛剛本席聽到你回答幾個委員的一個部分的時候有講到說斑斑有鮮奶這樣的一個政策不是我們農業部說啊
transcript.whisperx[648].start 16918.132
transcript.whisperx[648].end 16945.492
transcript.whisperx[648].text 我想斑斑有鮮奶這幾個字不是我們對外的一個宣導那我們正式的一個計畫是把我們的國產的這些產銷優質的這些牛奶牛奶優質的牛奶進到學校那相對的他不只是鮮奶我就好奇啊教育文化委員會教育部部長、次長、農業部次長來立院報告也是斑斑有鮮奶的準備執行
transcript.whisperx[649].start 16947.186
transcript.whisperx[649].end 16973.372
transcript.whisperx[649].text 這是教育文化委員會那天召委他的一個這個題目那今天行政院17號今天早上也下令斑斑有些奶改推新措施啊認了政策有瑕疵啊所以與其我們一直在講這個說話這個這個名稱跟我們的計畫內容不一定因為現在全國國人都知道而且是連那個我們教育部或說連行政院也都認為說政策就是這個樣子啊
transcript.whisperx[650].start 16974.591
transcript.whisperx[650].end 16993.945
transcript.whisperx[650].text 所以我覺得與其說我們還要去爭辯說我們當初沒有講這個事情,搞不好說怎麼樣來思考經濟這件事情我非常同意齁,就是因為是剛才有委員說我們在推先來,我說我強調的是那個先來的字就是說我們當初給學校的時候尊重學校的一個訂購因為一開始,會聽到第一個掰掰有先來的時候,其實我就擔憂喔
transcript.whisperx[651].start 16999.665
transcript.whisperx[651].end 17028.084
transcript.whisperx[651].text 學校有偏鄉有山區有海邊有大的學校我的選區裡面光本席的選區就好有大的學校一屆一千多人將近兩千人也有小的學校六個年級加起來18人那這樣子的一個落差你有辦法真的做到斑斑有鮮奶嗎沒有辦法嗎所以說到目前為止我即便我問了教育部部長教育部部長我甚至問他說即便是薄酒乳啦
transcript.whisperx[652].start 17029.161
transcript.whisperx[652].end 17057.111
transcript.whisperx[652].text 你到今年年底前有沒有辦法他不敢回答我那什麼意思就代表說政策的初衷我們要支持政策的初衷可以給小朋友喝到牛奶喝到鮮奶喝到優質奶本席都同意但是不需要用這樣子來去做轉變然後到最後好像一推二五六教育部不認說這是農業部而是農業部不認說這個跟計畫不相干我講農業部絕對沒有不認好部長所以本席比較那個你班班有牛奶嗎
transcript.whisperx[653].start 17058.308
transcript.whisperx[653].end 17065.844
transcript.whisperx[653].text 那斑斑有牛奶可能有人講說那羊奶算不算好的牛奶斑斑有優質奶嘛斑斑有好乳嘛
transcript.whisperx[654].start 17066.974
transcript.whisperx[654].end 17088.278
transcript.whisperx[654].text 好不好 是什麼時候會有新的措施出來我想我們分兩個階段第一個階段就是在這一學期本身我們已經對這個學期還是一樣照走那什麼時候會有新的措施我想一個很重要的原則就是說我們推的如果推的新的政策絕對不會影響到增加學校的負擔這個是一個非常重要的
transcript.whisperx[655].start 17088.658
transcript.whisperx[655].end 17090.34
transcript.whisperx[655].text 那這個政策主導到底是教育部還是農業部?
transcript.whisperx[656].start 17112.202
transcript.whisperx[656].end 17140.843
transcript.whisperx[656].text 我想是一起努力的啦一起努力還是會有因為兩個和尚是挑水河你知道嗎我知道所以不管怎麼樣我的意思是說到底現在這個亂象已經造成了那接下來是由教育部主導找農業部來開會還是農業部主導找教育部來開會我想我剛才說的兩個部會一起合作但是農業部一定會負更大的責任針對整個供應量做有系統的確保這個部分才會接下來就是由
transcript.whisperx[657].start 17141.784
transcript.whisperx[657].end 17142.685
transcript.whisperx[657].text 行政部門應該要尊重立法部門
transcript.whisperx[658].start 17164.904
transcript.whisperx[658].end 17189.806
transcript.whisperx[658].text 是行政部門應該要去了解掌握立法部門到底提出這樣的一個政策有什麼樣的一個前因後果那尤其是我記得上個會期本席是黨團的三長之一我們在朝野協商的時候我也一直說啊我沒有反對你的什麼3加3的這些相關的政策但是重點是農糧收購跟這3加7是它不衝突啊
transcript.whisperx[659].start 17190.487
transcript.whisperx[659].end 17212.577
transcript.whisperx[659].text 有一些政策來講我沒有說要你只能選A不能選B只能選B不能選A而是怎麼樣能夠大規模做你一方面你可以精進你一方面你可以改良一方面你可以鼓勵農民朋友他們持續但另外一方面反映物價的一個部分那還有我必須要強調您知道在農糧提高價格收購的這一個提案裡面有哪個黨團反對嗎
transcript.whisperx[660].start 17216.721
transcript.whisperx[660].end 17244.068
transcript.whisperx[660].text 在組決議的時候沒有沒有黨團反對嘛 對不對那就代表是說這是立法院113席立法委員共同的一個組決議啊我現在聽到有一些執政黨的朋友開始跟你在那邊一搭一唱好像講的好像講的是說欸對不能提高收購那如果說不能提高收購這個組決議的話那7月16號沒有任何人有異議這是在打假球啊
transcript.whisperx[661].start 17246.064
transcript.whisperx[661].end 17255.032
transcript.whisperx[661].text 委員長你剛剛已經講了嘛7月16號我們上個會期的最後一天所值那個組決議處理的時候我們來看一下會議記錄主席說報告院會現在國民黨的附帶決議有沒有異議
transcript.whisperx[662].start 17261.837
transcript.whisperx[662].end 17289.727
transcript.whisperx[662].text 沒有人有異議啊民進黨沒有半個人有異議啊當天的現況是所有黨團都甲級動員113席立法委員全都坐在座位上民進黨沒有任何人有異議照案通過臺灣民眾黨的附帶決議請問院會有無異議沒有異議所以換言之連民進黨的委員他們也不敢反對或者說他們也支持農糧收購要提高價格啊那現在
transcript.whisperx[663].start 17291.072
transcript.whisperx[663].end 17304.653
transcript.whisperx[663].text 你會不會覺得有點像被放生的感覺民進黨的委員他那個時候不敢有異議然後現在要嘛就跟你一戴一上要嘛就他乾脆不來也不去支持你現在不編列農糧收購的價格的部分
transcript.whisperx[664].start 17306.858
transcript.whisperx[664].end 17332.186
transcript.whisperx[664].text 我跟委員報告兩件事情第一件事情就是我們在考慮公糧提高價格我並沒有說公糧價格以後都不調了只是說不能現在調不能把虧底做給國民黨團民眾黨團絕對不是我從來沒有這種想法我也希望你不要有這個想法我的想法就是說我在這一個政策推動之下會不會造成我們現在原來的政策有所
transcript.whisperx[665].start 17333.306
transcript.whisperx[665].end 17335.967
transcript.whisperx[665].text 其實抵銷不抵銷這個是政策工具的調整我已經預期你會這樣講了但是我們現在看的是方方面面這也是你是身為一個農業部部長你應該要看到的
transcript.whisperx[666].start 17357.179
transcript.whisperx[666].end 17357.199
transcript.whisperx[666].text
transcript.whisperx[667].start 17386.348
transcript.whisperx[667].end 17396.975
transcript.whisperx[667].text 最後我想你是鐵板一塊部長抱歉我最後一分鐘稍微已經站起來我只是提一下這個是一個新的展覽你也知道我長期都關心動物保護的議題
transcript.whisperx[668].start 17399.106
transcript.whisperx[668].end 17417.159
transcript.whisperx[668].text 這個展覽呢它其實在其他國家已經有十幾年了不過呢也有很多的獸醫師會認為是說這其實對於魚類的健康是不利就是說因為它你看起來它很漂亮沒有錯我也覺得說一看畫面很漂亮但是它在裡面是有很多的光線很多的玻璃那其實
transcript.whisperx[669].start 17418.44
transcript.whisperx[669].end 17444.414
transcript.whisperx[669].text 還有一些是閃光那強光跟閃光其實對魚是不利的再者藍色紫色的顏色對魚是刺激的那現在這個展覽好像是已經有經過相關的許可了那我們也有去查相關的一個法令規定就是說動物展演的部分其實要嘛就受地方政府的一個許可要嘛就是中央政府的公告免許可
transcript.whisperx[670].start 17446.038
transcript.whisperx[670].end 17446.518
transcript.whisperx[670].text 臺北市政府
transcript.whisperx[671].start 17461.445
transcript.whisperx[671].end 17463.187
transcript.whisperx[671].text 因為本席過去到現在對於動物展演的部分特別希望能夠加強我們的相關法律
transcript.whisperx[672].start 17488.328
transcript.whisperx[672].end 17496.613
transcript.whisperx[672].text 所以後續我也會再跟我們農業部再來請教未來有沒有在法令上改進的空間我們一起來努力好不好謝謝部長剛剛講的斑斑有牛奶這些問題本席建議的這個牛奶卷就可以解決所有的問題請你趕快的研議好 謝謝接下來請麥義珍委員質詢
transcript.whisperx[673].start 17523.479
transcript.whisperx[673].end 17526.54
transcript.whisperx[673].text 謝謝主席 有請部長請陳部長委員好部長好 大家都關心這一題我們農業天然災害救助辦法同一個產業就是一年可能申請一次但是我們每年颱風災害都是好幾次
transcript.whisperx[674].start 17552.968
transcript.whisperx[674].end 17557.37
transcript.whisperx[674].text 所以剛才也聽很多的委員去詢問所以我們的部長也有說要修正要研議所以現在我們的災害已經達到6億新台幣6億
transcript.whisperx[675].start 17568.235
transcript.whisperx[675].end 17568.475
transcript.whisperx[675].text 李慧琼議員
transcript.whisperx[676].start 17584.969
transcript.whisperx[676].end 17585.189
transcript.whisperx[676].text 請教一下
transcript.whisperx[677].start 17602.213
transcript.whisperx[677].end 17614.249
transcript.whisperx[677].text 我跟委員報告第一個就是我們農業天然災害不會因為他的身份跟他的族群而有差別對沒有身份族群但是因為全部都中文但是做農的因為從事農業他絕對不是
transcript.whisperx[678].start 17617.453
transcript.whisperx[678].end 17636.073
transcript.whisperx[678].text 自己一個人做農業沒有跟其他的左右鄰居做互動所以相對的我們在天然栽培公告的時候不是只公告一小區一定是一個鄉鎮為單位去公告的時候那相對的這些公告的時候其實他如果中一個作物其他的鄰居應該可以做協助啦
transcript.whisperx[679].start 17636.773
transcript.whisperx[679].end 17639.757
transcript.whisperx[679].text 這個鄰居協助是你說的嗎還是說真的是鄰居都有幫忙協助你知道說怎麼樣去協助嗎我們希望說我們的農業很多都是我們現在高齡的我們的
transcript.whisperx[680].start 17652.35
transcript.whisperx[680].end 17659.034
transcript.whisperx[680].text 的長輩去做或者是我們的新住民有去做所以這個部分我們是不是我們農業部這邊有個團隊是去協助不只是在網路宣傳或者在我們的公所去宣傳這樣的話達不到這個效果我的意思是這樣子所以要希望有一個團隊但是你講的都是別人幫忙不是你的團隊親自幫忙
transcript.whisperx[681].start 17679.424
transcript.whisperx[681].end 17697.216
transcript.whisperx[681].text 我想這個在整個的一個天然災害公告了以後所有的啟動都是縣市政府跟他的公所的部分那您剛才所提到的就是說當新住民不認識中文字的時候那相對的希望有一個輔導的一個系統那我個人認為就是
transcript.whisperx[682].start 17698.257
transcript.whisperx[682].end 17703.879
transcript.whisperx[682].text 這個不是你解決的方式啦因為左右鄰居大家都會有人會協助如果他真的是有需要但是他有需要他也找不到左右鄰居去協助的時候但是你講的是別人協助我要的是你如何去協助
transcript.whisperx[683].start 17726.548
transcript.whisperx[683].end 17726.568
transcript.whisperx[683].text 委員會議員
transcript.whisperx[684].start 17751.856
transcript.whisperx[684].end 17771.966
transcript.whisperx[684].text 請你協助我們的農民不管是新住民還是我們的農民是不是有這樣的去協助因為那個對象我們不知道他在哪邊所以最好的方法最有效的方法就是第一個就是鄰居來協助第二個就是公所那邊他可以去問公所那公所我相信公所一定會很樂意來協助的
transcript.whisperx[685].start 17774.386
transcript.whisperx[685].end 17795.25
transcript.whisperx[685].text 我們知道這是公所會去協助但是說我們這邊完全沒有一套說協助因為政府有這樣的預算但是我們要如何去協助公所他們有沒有主動去協助還是說你就是說我們的鄰居去協助我們公所去協助是你說的算還是說他們真的有這樣做第二個就是說我們的保險我們希望說我們
transcript.whisperx[686].start 17803.031
transcript.whisperx[686].end 17807.853
transcript.whisperx[686].text 農民也除了申請災害的補助還有我們的保險也要有完善讓大家覺得說這個保險你要去剛才我們的其他委員也有詢問你說要如何去修改對我們農民最有幫助嘛 對不對但是連現在你們在推這個保險的時候
transcript.whisperx[687].start 17827.099
transcript.whisperx[687].end 17834.001
transcript.whisperx[687].text 你們都沒有去說哪一個對農民有幫助嗎等大家要提出來的時候你們才覺得要去修改連我們農業部這邊都不清楚了你怎麼讓我們這些農民他覺得買這個保險對他有幫助的最清楚的所以我們要的是你
transcript.whisperx[688].start 17847.145
transcript.whisperx[688].end 17858.114
transcript.whisperx[688].text 一定要去說事先要瞭解也要知道我們的農民的需求不是透過各個委員來找出你的問題你來去改善這樣子的話就申請補助也申請不到保險也不完整這樣對我們的農民的保障在哪裡這個就是你的責任希望
transcript.whisperx[689].start 17868.523
transcript.whisperx[689].end 17890.939
transcript.whisperx[689].text 我們的農業部在一週內給我完善的策略還有如何對我們的農民更有保障保險的部分也是以上報告 謝謝我跟委員報告一個禮拜可能可不可以大概一個月因為我們的農業保險是要去做整體的檢討我不會去要強調說要把17%拉的多高我希望每一張保單
transcript.whisperx[690].start 17892.04
transcript.whisperx[690].end 17902.206
transcript.whisperx[690].text 重新檢討以後會讓更多的農民來保這才是我們的目的而不是純粹只是追求那個覆蓋率的部分因為覆蓋率對我們沒有意義所以這個部分可能一個禮拜沒有辦法做到對保險就是要有幫助才要去保那是說沒有幫助就大家不願意保
transcript.whisperx[691].start 17912.512
transcript.whisperx[691].end 17912.532
transcript.whisperx[691].text 好 謝謝
transcript.whisperx[692].start 17941.896
transcript.whisperx[692].end 17942.838
transcript.whisperx[692].text 請徐富奎委員質詢請陳部長
transcript.whisperx[693].start 17964.52
transcript.whisperx[693].end 17982.196
transcript.whisperx[693].text 部長辛苦了首先也要感謝部長我們這次山陀爾風災第一事件部長這個院長跟部長又到屏東來關心我們整個這個受損的狀況那也給予很多的這個第一線的一個協助不過在這邊還是有幾個問題要請部長來幫忙我想部長這個山陀爾颱風之後我們有一些養豬的
transcript.whisperx[694].start 17990.503
transcript.whisperx[694].end 17991.784
transcript.whisperx[694].text 對,我跟委員報告,這個部分我們已經準備開了,就是說針對這個
transcript.whisperx[695].start 18014.933
transcript.whisperx[695].end 18016.254
transcript.whisperx[695].text 部長什麼時候可以來公告?
transcript.whisperx[696].start 18056.982
transcript.whisperx[696].end 18072.469
transcript.whisperx[696].text 平東的部分已經公告了嘛是不是那畜牧的部分可能會先看個案是什麼樣的情況再去處理他不用公告的方式去處理好因為這個平東也是有很多的養豬戶大家有沒有在等這個消息
transcript.whisperx[697].start 18074.1
transcript.whisperx[697].end 18100.869
transcript.whisperx[697].text 另外針對剛剛也有很多的委員甚至上次部長到屏東我們很多的農民第一次就是直接反映的這個所謂的這個同歷年一次救助這個問題老闆娘這真的要再幫你拜託我們那7月份的這個楷米重創一次好不容易重新再把這個果樹再種下去現在山坨也還迷迷茫茫今天可以救助一百年這叫農民是在欲哭無淚
transcript.whisperx[698].start 18102.193
transcript.whisperx[698].end 18102.373
transcript.whisperx[698].text 委員會主席
transcript.whisperx[699].start 18119.309
transcript.whisperx[699].end 18140.102
transcript.whisperx[699].text 有時候你的災害太接近了跟差了好幾個月它的樣貸可能都不一樣甚至於還有跨年的部分所以可能還要再針對一些細項不過代言著我們會從農民的角度去思考當他本身如果受到災害以後
transcript.whisperx[700].start 18140.982
transcript.whisperx[700].end 18169.085
transcript.whisperx[700].text 在經過一段時間的時候,特別是在開花期以後的這些時間,對產業有影響的話,我們會再開第二次的天然災救助給他們。大原則是這樣子,但是不同的反向。因為針對我們屏東的玉荷包也是一個很有名的農作物,但是這個玉荷包剩了差不多五年,才可以收成。如果一次受到颱風之後,有可能這五、六年都沒辦法收成,那針對這樣子的一個作物,有沒有辦法來做怎麼樣一個
transcript.whisperx[701].start 18170.699
transcript.whisperx[701].end 18196.692
transcript.whisperx[701].text 長久性的一個補救的一個措施我們可能沒有辦法我們因為我們在天然災害救助大概是以一年的生產成本的百分之二的他是屬於救助的救助的精神那如果說損壞到他要變成必須重重變成五年才能才能收穫的這個部分我覺得現在我沒辦法回答您這個會長會怎麼做不過我想我們這是另外一個產業輔導
transcript.whisperx[702].start 18197.873
transcript.whisperx[702].end 18209.619
transcript.whisperx[702].text 不能用直接用救助的方式去處理那部長就請用產業輔導的方式看一下怎麼去處理因為這個也是一個很多人都在重視那最後主席再借我一點時間就針對嬰兒番這個移儲的一個嚴重的問題
transcript.whisperx[703].start 18213.601
transcript.whisperx[703].end 18240.575
transcript.whisperx[703].text 我想部長這個尤其恆春半島因為我們有涉及到所謂的一個林業署也有國產署甚至肯管處的一個土地管轄的一個問題我知道你們有努力在做但是問題針對其他的部會我們沒有一個統合的機制造成你如果這邊移除之後另外的銀河灣有可能又重新種子飄過去就生起來了所以這個生生不息造成一個生態的危害
transcript.whisperx[704].start 18241.864
transcript.whisperx[704].end 18260.103
transcript.whisperx[704].text 本席是認為我們應該要組成一個國家來檢視這個、處理這個問題。部長的意見?委員報告就是我們在銀河灣在處理的時候其實我們有一個團隊包括其他的部會都有一個集中的那也跟委員報告就是說本來銀河灣大概在恆春地區大概5400多公頃
transcript.whisperx[705].start 18261.664
transcript.whisperx[705].end 18279.739
transcript.whisperx[705].text 然後到了去年我們現在剩下大概1000多公頃要移除啦那1000多公頃裡面國有林大概是100多我想我們會處理那私有林的部分就是會跟廠商這邊看要怎麼樣去處理所以我們一定會組成一個跨部會的團隊一起來努力啦
transcript.whisperx[706].start 18281.46
transcript.whisperx[706].end 18301.022
transcript.whisperx[706].text 我還是提醒就是說因為我們現在的策略是把它移除之後種苗嘛,種樹好多種嘛有另外一個說法,他們認為你如果砍完之後它的毒素增加反而不利於原本你們種的樹苗的生長所以他們認為是用自然演化的一個方式來取代,這也是另外一個
transcript.whisperx[707].start 18302.223
transcript.whisperx[707].end 18327.215
transcript.whisperx[707].text 對,我想不同的意見我們都會去經過專家討論,包括你如果炒不好看它也會發出來嘛,類似這個,我想我們會,我們也聽到很多不同的意見啦,那我想林務署這邊會跟專家去討論一個最有效的方法,能夠讓它不會砍了以後又增加更多的這個小苗,這個部分我們謝謝委員的提醒,我們會來處理。對,我們的目標還是希望趕快移除,讓我們原本的生態能夠恢復啦,好謝謝。
transcript.whisperx[708].start 18336.232
transcript.whisperx[708].end 18337.154
transcript.whisperx[708].text 請黃建斌委員質詢有請陳部長請陳部長
transcript.whisperx[709].start 18355.765
transcript.whisperx[709].end 18373.147
transcript.whisperx[709].text 委員 部長我們今天討論的是調整公糧的這個議題那在談論這個議題之前本席還是繼續延續上我們之前的這個山頭颱風造成農損的問題那這次山頭颱風其實它不僅僅是在南韋地區造成的這個傷害
transcript.whisperx[710].start 18373.787
transcript.whisperx[710].end 18398.248
transcript.whisperx[710].text 因為它連日的豪大雨對我們這個池上關山地區的稻米造成極大傷害我們依據關山政工所進行農損調查的部分看到我們部分農田它剛剛結碎稻米剛結碎就發生這個稻埔泡水的情況可能會影響部分二期稻作的收成那出戶稻埔的這個田區至少將近在兩成左右那依據我們農業部這個稻米保險的規範那邊均
transcript.whisperx[711].start 18400.169
transcript.whisperx[711].end 18415.45
transcript.whisperx[711].text 若產量減損在單一鄉鎮有兩成以上的話,就會啟動我們的保險機制,這樣立法會是一公頃萬倍空,對不對?那但是經過現在政府初步的統計,可能離這個立法的標準還有一點點的差距,那受災災民他可能沒有辦法申請立法。
transcript.whisperx[712].start 18416.701
transcript.whisperx[712].end 18440.561
transcript.whisperx[712].text 部長,中農一年的課真兩期,官真池上是臺東有機稻作的種植區,它的工作成本本來就遠遠高於西部慣行農法的區域,這對農民稻農的損害極大。部長您是農業的大家長,也請您苦農民所苦,放寬規範,讓我們稻農可以獲得利培金來度過這次難關。
transcript.whisperx[713].start 18443.763
transcript.whisperx[713].end 18445.484
transcript.whisperx[713].text 謝謝部長正面的回應喔部長
transcript.whisperx[714].start 18475.121
transcript.whisperx[714].end 18497.265
transcript.whisperx[714].text 我們這是客廳吃飯本來閒話就乾口我想這次會提到公糧調漲這件事情其實也是希望讓農民能夠增加他的收益我想這件事情大家都是支持因為他們這麼辛苦我們可以給他照顧我相信大家都支持那當然在過程裡面也聽到部長跟其他委員提到有許多問題會衍生那這邊本是要跟部長來討論就是說我們台東這次供應的問題
transcript.whisperx[715].start 18500.486
transcript.whisperx[715].end 18501.387
transcript.whisperx[715].text 臺東花東地區是臺灣最大的有機有膳到作耕作區
transcript.whisperx[716].start 18517.309
transcript.whisperx[716].end 18534.936
transcript.whisperx[716].text 臺灣的米好價是因為它品質好相對它的成本也比較高那我們的米廠其實都是以質計價然後嚴格分級一斤米、二斤米、三斤米這樣所以價格比較高所以高公糧會比較小小看就是低於我們西部的這些稻農
transcript.whisperx[717].start 18535.876
transcript.whisperx[717].end 18538.057
transcript.whisperx[717].text 我給委員報告就是說其實臺東就是一個很好的例子就是說因為他大部分都不繳公糧
transcript.whisperx[718].start 18564.569
transcript.whisperx[718].end 18587.407
transcript.whisperx[718].text 但是我們怎麼樣讓有機有膳的這些稻米能夠繼續的去精進所以後面的就是牽扯到後面的輔導措施啦對啦輔導措施這個措施要出來對這個部分我想我們會去研究因為我們都是希望站在農民這一邊但是我們的情況有稍許不同那這部分要請部裡面這邊來多花心思想一下未來怎麼補助的東部的地區特別是
transcript.whisperx[719].start 18588.288
transcript.whisperx[719].end 18590.11
transcript.whisperx[719].text 謝謝部長的正面回應。接下來我要講第二個台中的農產,第一個獨立美衣瓦第一就是奢侈
transcript.whisperx[720].start 18613.223
transcript.whisperx[720].end 18636.753
transcript.whisperx[720].text 全世界98個社區在台灣全台灣98個社區在台灣那台東因為這個濾金養活很多的家庭那台東縣政府其實也花很多的經費在做行銷這一塊也花很多心思那不過其實現在目前台灣的私家出口還是主要以中國大陸為主那我們其實也提過是不是要分散投資不要把雞蛋放在同一個籃子裡面開發新的市場提升本身的
transcript.whisperx[721].start 18637.433
transcript.whisperx[721].end 18658.116
transcript.whisperx[721].text 品質跟加工這一塊都是未來要因應整個因兩岸政策不穩定影響的這個造成果農影響的這個生計的問題吧,對吧?這我們之前討論過嘛,那我們過去這幾年花了大概將近5億在農產的施加加工上,但目前還沒有看到比較有效的成果
transcript.whisperx[722].start 18658.777
transcript.whisperx[722].end 18685.403
transcript.whisperx[722].text 那我們今後如何讓我們加工去化過多的產量,讓達到我們鮮果限流市場的功效,農業部必須來思考這個問題。因為當我們的鮮果的數量如果在限流情況之下,我們可以有效的維持啊。那未來如果國外的市場受到一些什麼政治因素,種種因素有影響的時候,我們不至於導致我們鮮果過量,然後價格崩盤嘛,對吧?
transcript.whisperx[723].start 18686.343
transcript.whisperx[723].end 18715.434
transcript.whisperx[723].text 瞭解我跟委員報告齁就是鳳梨釋迦是一個比較特殊的這些品項那第一個就是它生性的部分在其他的國家過往都沒有銷售的紀錄那我們在檢疫的部分我們必須因為鮮果的部分要經過市場進入的檢疫的談判但是加工的部分冷凍的部分就可以所以過去幾年特別是這一兩年之內我們針對冷凍加工包括現在我們也有一些我們的加工廠變成果泥那就是
transcript.whisperx[724].start 18716.174
transcript.whisperx[724].end 18733.043
transcript.whisperx[724].text 時間的關係,會後可以把你們相關的措施跟本辦公室來報告最後我再借用一點點時間,剛剛許副委員提到關於殷樂歡的問題,其實台東也有除此之外,台東還有面臨另外一個問題,就是施走安修木
transcript.whisperx[725].start 18733.723
transcript.whisperx[725].end 18757.149
transcript.whisperx[725].text 他比英文更加的頑強他的侵略性跟他的生命之強悍很難去跟足這個部分也希望農業部能夠來整合包括國產署或是領務局或是社會主要局看怎麼樣來解決這個外來物種侵襲的問題那這部分也請部長這邊跟會裡面部裡面來討論跟本席分工事這邊來報告
transcript.whisperx[726].start 18758.254
transcript.whisperx[726].end 18759.995
transcript.whisperx[726].text 月言之委員不在,請徐宇珍委員質詢。
transcript.whisperx[727].start 18791.772
transcript.whisperx[727].end 18792.074
transcript.whisperx[727].text 農業部陳副部長
transcript.whisperx[728].start 18805.037
transcript.whisperx[728].end 18819.913
transcript.whisperx[728].text 今天我是針對就是農業部針對立法院決議的公糧收購的這個提高價格的這個報告要來替這個農民請命因為其實目前我想聽下來是目前農業部並沒有要編列這個預算的計畫嗎是嗎
transcript.whisperx[729].start 18824.329
transcript.whisperx[729].end 18848.067
transcript.whisperx[729].text 對我想公糧我的意思是說我不是說以後都不調整公糧但是以現在最好的情況因為我在調整公糧的時候我必須衡量我現在的政策會不會造成現在的政策的衝突所以我們發現說我們現在的4選3大區輪座如果搭配一級二轉3加3會更支持我們的產地價格如果直接貿然的再提高的話
transcript.whisperx[730].start 18849.228
transcript.whisperx[730].end 18873.07
transcript.whisperx[730].text 會有矛盾的現象所以我們今年度我們先不編但是後續我們會針對我們的推動的成效再來檢討部長不過所以您的意思是也沒有反對這個公糧收購但是今年暫時不編要看滾動的計畫不過以這個部分來說其實農民會覺得很受傷因為他們覺得說公糧收購對他們是最直接的一個
transcript.whisperx[731].start 18874.051
transcript.whisperx[731].end 18874.391
transcript.whisperx[731].text 委員會主席
transcript.whisperx[732].start 18893.129
transcript.whisperx[732].end 18893.149
transcript.whisperx[732].text 委員會長
transcript.whisperx[733].start 18913.616
transcript.whisperx[733].end 18940.129
transcript.whisperx[733].text 新資也要調漲第二年還有勞工的基本工資跟時薪也都提高那既然政府說希望要全民來共享經濟建設的成果那這個部分好像農民都沒有被照顧到也會讓農民覺得是二等公民我想不會的我想政府上面包括特別是農業部照顧我們農民是我們的責任也是我們的使命那以剛才講的就是說公糧提高的話事實上只有部分的農民是受益的特別是剛才
transcript.whisperx[734].start 18941.625
transcript.whisperx[734].end 18965.055
transcript.whisperx[734].text 東部的地區你如果去東部的話大部的農民都反對其實部長既然是雖然有部分的農民所以但代表這些部分農民就是還需要幫助所以我們才有這個公糧收購的這樣的一個政策那尤其是我看到你們報告裡面寫說公糧價格的收購因為13年因為要如果造成提高公糧價格的話會造成成本的提高嗎不是面積的提高
transcript.whisperx[735].start 18967.017
transcript.whisperx[735].end 18985.435
transcript.whisperx[735].text 還有就是提高生產成本應該是在你們的第4頁第6頁第4點會提高生產成本有提到這點不過現在跟我們理解的其實相反我們為什麼會提這個要提高公糧收購的價格就是因為過去13年沒有調漲成本還是一直在提高他們的各張市場還是一直提高
transcript.whisperx[736].start 18985.775
transcript.whisperx[736].end 19012.045
transcript.whisperx[736].text 所以我們才會提出要提高公糧收購的這個價格所以這樣的說法其實是矛盾的而且讓農民沒辦法接受那既然部長覺得說提高公糧收購的價格現在沒有辦法去執行那是不是有可能就是農民比如說我們現在是不是可以釋出一些農地來去種電讓我們的農民的這個價格因為種電大概可以每公頃大概可以收租40萬
transcript.whisperx[737].start 19013.565
transcript.whisperx[737].end 19014.565
transcript.whisperx[737].text 我跟委員報告就是我們現在開放的是漁電工生
transcript.whisperx[738].start 19029.062
transcript.whisperx[738].end 19053.588
transcript.whisperx[738].text 那農電共生的部分我們並沒有開那最主要是說農電共生本身因為露天作物它需要的陽光的強度它都必須要去考慮那以現在來講我們也啟動了我們的所有的試驗單位針對農電共生之下的一些作物的影響部長 拋出這樣的議題只是要讓就是部長對 部長了解說說農民真的很辛苦
transcript.whisperx[739].start 19053.888
transcript.whisperx[739].end 19064.577
transcript.whisperx[739].text 我了解我可能有一個是不利耕種的地我什麼都不用做我一公頃就可以補助40萬辛苦工作的農民我們現在只不過要提高公糧收購價格卻不行所以說我只是要拋出這樣的議題讓農業部來去正視這個問題那當然了我在這邊也是提出一個建議讓部長
transcript.whisperx[740].start 19072.023
transcript.whisperx[740].end 19096.558
transcript.whisperx[740].text 思考看看是否可行就是說我們也考量到產業的一個長久發展跟農業的預算有限那是不是可以因為你這邊有提到這個123的政策大概3年內會提高到股市場價格3元你預估是這樣子的一個成效那我們假設這個成效是真的能夠達到的話那是不是有可能我們公糧收購先提高2元
transcript.whisperx[741].start 19097.719
transcript.whisperx[741].end 19114.281
transcript.whisperx[741].text 然後給你們3年的時間去完成這個123的政策那如果可以提高3元剛好就是5元是不是有可能來做這樣子的研究很實際的說明就是現在的5元跟我們現在的其他的政策是會互相
transcript.whisperx[742].start 19115.464
transcript.whisperx[742].end 19115.624
transcript.whisperx[742].text 進行報告.
transcript.whisperx[743].start 19131.451
transcript.whisperx[743].end 19131.471
transcript.whisperx[743].text 致詢問題
transcript.whisperx[744].start 19150.555
transcript.whisperx[744].end 19173.657
transcript.whisperx[744].text 部長一定跟我們一樣都是很希望照顧農民為農民來去爭取最大的權益那是不是所有可能能夠照顧農民的方案我們是不是都不要放棄能夠用這樣的一個方式那因為既然這是立法院的決議我們也希望能夠這個農業部能夠尊重我們這個立法委員的這樣子的一個決議那用什麼樣的方式來去達到讓農民感受到農業部的照顧也感受到全民對農民的這個照顧這樣可以嗎
transcript.whisperx[745].start 19176.139
transcript.whisperx[745].end 19176.399
transcript.whisperx[745].text 請劉建國委員質詢
transcript.whisperx[746].start 19208.114
transcript.whisperx[746].end 19208.895
transcript.whisperx[746].text 農業部114年度總預算案
transcript.whisperx[747].start 19229.074
transcript.whisperx[747].end 19254.135
transcript.whisperx[747].text 總總額含所有基金是多少經費?那113年的總預算案又是多少?112年又是多少?請部長簡單說明我講我們114年編列的是1692萬含所有基金嗎?基金是747億但是有一部分的公務是撥補的部分所以加起來可動資的大概是2000多2000零多少億嗎?
transcript.whisperx[748].start 19255.496
transcript.whisperx[748].end 19260.418
transcript.whisperx[748].text 2034億2034億嘛 是這是預算案嘛對不對 是那113年的預算案是多少113年的預算是兩千我看兩千一千九百一千五百五十億
transcript.whisperx[749].start 19272.826
transcript.whisperx[749].end 19289.971
transcript.whisperx[749].text 對1951億是預算案還是預算多少法定預算是2089億2089億對所以現在是要跟委員會報告是說因為114年還沒有審查嘛對不對是所以他是預算案那有可能審查之後會低於113年度是不是這樣
transcript.whisperx[750].start 19290.831
transcript.whisperx[750].end 19317.086
transcript.whisperx[750].text 有可能因為計畫有一部分是新增的有一部分是那你既然是新增就是會增加預算出來那為什麼還會低於113年度但是相對有些預算是期程結束了結束了以後有一些新增的我要表達就是說以你當了這個部長之後照理講應該會有一些對農民有幫助對農業有所支持的新增項目那基本上是應該增加
transcript.whisperx[751].start 19317.686
transcript.whisperx[751].end 19344.014
transcript.whisperx[751].text 那至於應該有的到一個期限裡面需要去減少的或是不再編入的這我沒有意見但整體來講農委會變成農業部之後就是一個部就是一個大部就是台灣宣示對台灣的農業對台灣的農民的支持在組織架構的提升裡面應該從預算面會看到有更多支持農業跟支持農民的相關的積極作為才對嘛所以照理講你14年不應該低於13啊
transcript.whisperx[752].start 19346.202
transcript.whisperx[752].end 19358.547
transcript.whisperx[752].text 我們整個都不應該低於這樣我們公務有增加83億左右公務有增加的部分那因為基金到時候是看各基金的用途所以剛才講的就是說114年大概2034億因為時間有限我沒有辦法跟部長詢問細節不然我就隨便叫一個署起來問你114年對照1134是怎樣的預算知道嗎?署長知道嗎?
transcript.whisperx[753].start 19371.943
transcript.whisperx[753].end 19380.808
transcript.whisperx[753].text 那個公共預算多大概7億就是增加那個我現在講總統統就好了你農糧署114年度的總預算是多少錢?多少經費?總預算你自己數多少錢你不知道你就吃爛了好那113的預算案是多少?
transcript.whisperx[754].start 19394.474
transcript.whisperx[754].end 19420.835
transcript.whisperx[754].text 你還沒有當署長你不清楚你馬上對照一下好不好如果你減少的減少什麼部分給委員會相關的資料給我們做參考嘛好不好我為什麼要提到這個事情啦我還特別強調變成農業部之後那整個格局對農業對農民的照顧絕對要跟以前不一樣嘛部長還沒有回答到1喔甚至還1我都還沒有問啦我是希望你們細看一下做相關的一些盤查跟做比對啦那第二件事情
transcript.whisperx[755].start 19421.335
transcript.whisperx[755].end 19450.38
transcript.whisperx[755].text 我可以特別跟部長來討論這個天然災害救助項目的金額這個部分我之前也有新聞到貴部去然後私底下我也跟部長反映有很多的項目基本上是有蠻大的一些落差啦齁豬瓦會災害的豬瓦每一公頃4千蜂箱全會一個補助650蚂蜜一千塊鹵羊一隻兩千啦齁然後白色的肉雞一隻二十這個多久沒有調整了這一件事情
transcript.whisperx[756].start 19450.851
transcript.whisperx[756].end 19476.457
transcript.whisperx[756].text 那第二張我們這幾年來有很多次的去做相關的這些因應跟調整有確實都有這是我就不再贅述齁從106民進黨在住執政的時候106 109 110 11一直到112都有做相關調整而且我們的天然災救助辦法裡面有特別強調每年檢討一次的那你的每年檢討一次是年中年初年尾也不曉得然後再來你再看這一張
transcript.whisperx[757].start 19478.066
transcript.whisperx[757].end 19486.409
transcript.whisperx[757].text 分野化溫格在106年的時候補助的額度是11萬5千,113年的時候5月20條了,變成11萬8千給三千塊一公頃。部長再看一下布拉伊為什麼20萬馬上跳到42萬一公頃。
transcript.whisperx[758].start 19496.983
transcript.whisperx[758].end 19504.851
transcript.whisperx[758].text 上面,等一下,上面的10班、9班麻痺就對了,38萬一公頃,來到100均三里算是變40幾萬,加4萬。麻痺就對了36萬,變40萬,加4萬。現在獨獨不拉比,20萬一公頃,變做40幾萬。為什麼分月月11萬5,讓你們調料變11萬8?
transcript.whisperx[759].start 19519.653
transcript.whisperx[759].end 19527.935
transcript.whisperx[759].text 有符合農民的整個、漁民的整個這樣的成本然後配合這整個物價的這樣的評估去做相關調整嗎?
transcript.whisperx[760].start 19530.43
transcript.whisperx[760].end 19554.408
transcript.whisperx[760].text 我要向委員報告就是針對現在目前的不管是農林漁畜的這些產品我已經要求他們在11月底之前要重新去做檢討包括成本的調查因為你成本如果沒有調查在紙上作業用這樣處理就有可能發生到委員剛才提到的有一些條都非常大有些東西幾乎沒什麼條所以我希望他們是根據真正的生產成本
transcript.whisperx[761].start 19555.229
transcript.whisperx[761].end 19567.685
transcript.whisperx[761].text 11月底之前我們會去調整我們明年1月的話就會去公告重新去公告新的這個制度以後我們會把這個法納入就是說每年的1月間會公告年度的這個天然災害救助的這個標準
transcript.whisperx[762].start 19569.308
transcript.whisperx[762].end 19585.482
transcript.whisperx[762].text 對,項目很多,我只是用幾項給部長做參考嘛,對不對?啊這照理講,怎麼會有double的這樣一個成長?啊怎麼會有不到1%的成長?部長你在看這一個,農作物的育苗作業啦齁,全島2500,然後全島變3000,這是106年對照103年。屋頂摧毀,一坪550,現在變成增加50塊,600。
transcript.whisperx[763].start 19593.664
transcript.whisperx[763].end 19612.382
transcript.whisperx[763].text 這個合乎現狀嗎?還有很多時間的關係我沒辦法一一細究請部長是不是要求重新盤整重新比照重新看現在的狀態應該如何補助才讓農民的損失真的是政府的德政可以減少他們這樣的一個受損
transcript.whisperx[764].start 19613.183
transcript.whisperx[764].end 19616.164
transcript.whisperx[764].text 最後我再請教部長一些事情,謝謝主席齁剛剛有委員特別提到灌區內跟灌區外我請教一下全國80萬公頃的
transcript.whisperx[765].start 19639.582
transcript.whisperx[765].end 19639.822
transcript.whisperx[765].text 我們增加多少預算?
transcript.whisperx[766].start 19677.113
transcript.whisperx[766].end 19691.808
transcript.whisperx[766].text 我要提醒部長喔這個如果完全都沒有增加你們是交代不過去這個完全不增加然後我們未來你要去推國土計畫你就沒有辦法推阿
transcript.whisperx[767].start 19693.098
transcript.whisperx[767].end 19694.02
transcript.whisperx[767].text 部長你會不會越來越辛苦
transcript.whisperx[768].start 19709.631
transcript.whisperx[768].end 19735.429
transcript.whisperx[768].text 農我再度提醒了好不好這個預算真的不能減行政院有問題你要讓我們知道我們要來處理我跟委員報告就是在新增的農水路的部分大概光整個的資産防洪跟農水路的部分大概就增加了50億跟50億大概有100億的額度那裡面因為有灌區內有灌區外還有一些那個那個籌劃區裡面的東西那我想我會謝謝委員的提醒我會針對
transcript.whisperx[769].start 19736.249
transcript.whisperx[769].end 19762.699
transcript.whisperx[769].text 後面的該要去執行的經費到位以後還有實際指示的一個進度好 最後那個農機展農機展從蘇志文前縣長整個催生一直到現在辦了18年農糧署扮演什麼角色這個可不可以請農長署署長來說明我們給予那個活動的補助好 那所有我們叫做指導單位對不對對
transcript.whisperx[770].start 19765.259
transcript.whisperx[770].end 19777.822
transcript.whisperx[770].text 去年辦個農機展燒了20多台汽車今年會不會再發生指導單位要不要見到監督職者整個場地要不要去事先了解
transcript.whisperx[771].start 19780.041
transcript.whisperx[771].end 19798.343
transcript.whisperx[771].text 我跟委員報告就是過往也許我們在補助的時候只是提供經費而已但是實際上的規劃沒有參與協助但是我覺得這是也是不對的啦就是說當你經費下去就是希望活動做得好那相對的場地的規劃也要有一個完善的一個特別是在安全上面的一個規劃
transcript.whisperx[772].start 19799.204
transcript.whisperx[772].end 19827.676
transcript.whisperx[772].text 那之前我想有很多地方辦大型活動都會去參與規劃那我這邊後續也要求農政署其實在規劃的時候不能只出錢啊也要實際的去協助對部長我只是提醒任何一筆從農業部補助到地方政府的只要錢下去有補助的農業部都有一定的責任是都有一定的責任是那個環部看板後面絕對會寫指導單位寫補助單位但是有的很多補助下去也都沒有看到你們任何單位是是要卸責嗎
transcript.whisperx[773].start 19829.642
transcript.whisperx[773].end 19848.956
transcript.whisperx[773].text 請部長詳查是太多的案例謝謝謝謝主席請羅明財羅明財羅明財委員不在請王玉敏王玉敏王玉敏委員不在請武力華委員諮詢謝謝主席有請部長請陳部長
transcript.whisperx[774].start 19868.291
transcript.whisperx[774].end 19888.163
transcript.whisperx[774].text 前天我看到一則有關公糧的新聞我相信應該您也知道就是有農會的理事長呢他利用人頭農民去申報公糧然後去用較低的成本買這個稻穀充當公糧繳納之後賺取那個價差那為什麼
transcript.whisperx[775].start 19891.505
transcript.whisperx[775].end 19919.976
transcript.whisperx[775].text 其實理由很簡單嘛殺頭生意有人做所以這個部分農民他繳交公糧的意願高就是因為我們公糧的價格比較好也引發我們的政府大概平均這些年每一年將近120億去辦理公糧收購那當然我們不是去反對這樣的事但是我們會這樣子做是因為他的本
transcript.whisperx[776].start 19920.476
transcript.whisperx[776].end 19936.112
transcript.whisperx[776].text 原頭是國內的稻米供過於求所以我在這個地方其實是要救教一個問題請部長您看一下齁我相信您都念得出這些稻作的名稱齁小米油盲
transcript.whisperx[777].start 19937.173
transcript.whisperx[777].end 19962.862
transcript.whisperx[777].text 紅藜 樹豆那這一些呢在我們原住民來講都是我們的主食你可以看得到 豐收然後納入糧倉供給一年的所需可是我現在要問的就是你的公糧不是我的公糧欸我要請教一下部長為什麼水稻要叫公糧原住民的這些主食要叫雜糧
transcript.whisperx[778].start 19965.387
transcript.whisperx[778].end 19981.878
transcript.whisperx[778].text 委員報告那個公糧的公的意思就是說由公部門去收購的糧的稻米叫做公糧那其實在學名上面沒有所謂的公糧這個字但是雜糧是通指其他的這些暗做的那我就是要我就是要講
transcript.whisperx[779].start 19983.539
transcript.whisperx[779].end 20010.436
transcript.whisperx[779].text 你看看我們原住民齁你看生番熟番連吃的東西也有歧視矮化的意思但是我不是說因為這是歷史的成因歷史的成阿那山地平地化的過程中我們除了喪失領土除了喪失生活方式喪失文化語言你看連我們吃的東西都也可以喪失欸這很了不起欸
transcript.whisperx[780].start 20012.718
transcript.whisperx[780].end 20037.475
transcript.whisperx[780].text 我請部長您看一下當然我這個圖做得不好我要講的是說你看我們主要在輔導稻作的時候當然很漂亮可是台灣是一個多元文化而且我們講究生物多樣性如果這樣的一個農田有紅藜 有樹稻 有小米 有等等等
transcript.whisperx[781].start 20038.854
transcript.whisperx[781].end 20038.874
transcript.whisperx[781].text 委員長
transcript.whisperx[782].start 20056.84
transcript.whisperx[782].end 20083.255
transcript.whisperx[782].text 我想我們對原住民的輔導其實有不同的面向從技術端就是將原住民原來的技術做一些改良而已就是依照他的地景跟他的文化那這個部分我們在所謂的改良場有一個團隊我們就是原力團隊那那個原力團隊就是針對原住民部落的在地的這些作物去處理那第二個部分就是後端的市場的媒合那是更重要的
transcript.whisperx[783].start 20083.615
transcript.whisperx[783].end 20083.795
transcript.whisperx[783].text 現在做得好嗎?
transcript.whisperx[784].start 20104.422
transcript.whisperx[784].end 20114.805
transcript.whisperx[784].text 我想現在慢慢的特別是在針對有一些原住民剝落包括小米那我跟部長說齁其實我要講的是說我們這種是點滴式的輔導阿你應該清楚我在講什麼是我了解原米粿也好農糧署也好水保署也好對有在協助但是點滴式的輔導
transcript.whisperx[785].start 20127.318
transcript.whisperx[785].end 20149.906
transcript.whisperx[785].text 他不是長期 不是永續 不是全盤所以我在這邊其實是要講另外一個問題因為你看這個是東埔那個地方在做小米的富裕可是我們發現我們好多的小米在富裕的時候竟然是由美國的總原庫帶回來的這是蠻悲哀的一件事情
transcript.whisperx[786].start 20150.866
transcript.whisperx[786].end 20171.204
transcript.whisperx[786].text 難道原住民族想要在自己的土地用自己的方式種自己的作物有那麼困難嗎我們現在花很多錢在附贈我們的語言但是我們有很多的東西需要附贈回來因為那個才是真正符合在替我們所需要的這些所以呢我們原民會
transcript.whisperx[787].start 20172.265
transcript.whisperx[787].end 20172.505
transcript.whisperx[787].text 部長您的態度如何
transcript.whisperx[788].start 20192.699
transcript.whisperx[788].end 20193.279
transcript.whisperx[788].text 政府現在已經結束原住民轉型正義委員會
transcript.whisperx[789].start 20222.839
transcript.whisperx[789].end 20251.404
transcript.whisperx[789].text 因為總統說要讓所有的轉型正義要走入各部會去落實這個就是一個具體的轉型正義對不對我希望回到剛才的那個圖片我們的山林我們的田野它是生物多樣性的它是美麗多元的我們台灣配得這樣的風景好不好那我相信農業部部長您絕對有這樣的能力帶領大家可以嗎
transcript.whisperx[790].start 20252.504
transcript.whisperx[790].end 20252.524
transcript.whisperx[790].text 陳婉嫻議員
transcript.whisperx[791].start 20272.046
transcript.whisperx[791].end 20288.77
transcript.whisperx[791].text 當今發言的委員除了不在場外其餘都均已發言完畢我們詢答結束書面質詢跟未答覆的部分請相關單位一週內以書面答覆並複製本會本日議程處理完畢大家辛苦了現在散會
transcript.whisperx[792].start 20304.424
transcript.whisperx[792].end 20310.176
transcript.whisperx[792].text 委員會主席