iVOD / 161102

Field Value
IVOD_ID 161102
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161102
日期 2025-05-08
會議資料.會議代碼 委員會-11-3-20-11
會議資料.會議代碼:str 第11屆第3會期財政委員會第11次全體委員會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 11
會議資料.種類 委員會
會議資料.委員會代碼[0] 20
會議資料.委員會代碼:str[0] 財政委員會
會議資料.標題 第11屆第3會期財政委員會第11次全體委員會議
影片種類 Clip
開始時間 2025-05-08T11:22:51+08:00
結束時間 2025-05-08T11:37:51+08:00
影片長度 00:15:00
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c16f33c16e438c8ab6e0059966c803d0e997e39277836b040f861507bed890295c5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鍾佳濱
委員發言時間 11:22:51 - 11:37:51
會議時間 2025-05-08T09:00:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第11次全體委員會議(事由:邀請行政院主計總處陳主計長淑姿、財政部莊部長翠雲、中央銀行楊總裁金龍、國家發展委員會劉主任委員鏡清、勞動部洪部長申翰、銓敘部施部長能傑就「我國如果要設立國家主權基金,中央銀行與政府相關基金(如四大基金等)所扮演的角色為何?」進行專題報告,並備質詢。 【5月7日及8日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 10.39221875
transcript.pyannote[0].end 11.01659375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 11.20221875
transcript.pyannote[1].end 14.45909375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 14.94846875
transcript.pyannote[2].end 19.21784375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 19.55534375
transcript.pyannote[3].end 24.07784375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 26.50784375
transcript.pyannote[4].end 27.45284375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 30.28784375
transcript.pyannote[5].end 31.41846875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 32.58284375
transcript.pyannote[6].end 43.61909375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 36.90284375
transcript.pyannote[7].end 37.29096875
transcript.pyannote[8].speaker SPEAKER_03
transcript.pyannote[8].start 44.14221875
transcript.pyannote[8].end 44.58096875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 45.05346875
transcript.pyannote[9].end 47.66909375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 47.34846875
transcript.pyannote[10].end 51.09471875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 51.63471875
transcript.pyannote[11].end 57.08534375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 57.67596875
transcript.pyannote[12].end 59.51534375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 59.80221875
transcript.pyannote[13].end 63.02534375
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 63.63284375
transcript.pyannote[14].end 68.07096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 67.39596875
transcript.pyannote[15].end 69.16784375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 69.69096875
transcript.pyannote[16].end 71.04096875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 69.79221875
transcript.pyannote[17].end 70.50096875
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 70.78784375
transcript.pyannote[18].end 72.47534375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 72.88034375
transcript.pyannote[19].end 78.04409375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 72.91409375
transcript.pyannote[20].end 75.52971875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 77.55471875
transcript.pyannote[21].end 84.64221875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 80.76096875
transcript.pyannote[22].end 81.04784375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 83.41034375
transcript.pyannote[23].end 85.04721875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 84.86159375
transcript.pyannote[24].end 90.98721875
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 91.07159375
transcript.pyannote[25].end 91.10534375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 91.08846875
transcript.pyannote[26].end 91.51034375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 91.12221875
transcript.pyannote[27].end 92.91096875
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 92.92784375
transcript.pyannote[28].end 94.64909375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 95.03721875
transcript.pyannote[29].end 100.26846875
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 100.58909375
transcript.pyannote[30].end 104.72346875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 104.77409375
transcript.pyannote[31].end 108.95909375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 104.90909375
transcript.pyannote[32].end 105.02721875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 105.02721875
transcript.pyannote[33].end 105.17909375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 105.17909375
transcript.pyannote[34].end 105.21284375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 107.05221875
transcript.pyannote[35].end 107.30534375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 109.09409375
transcript.pyannote[36].end 120.90659375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 121.15971875
transcript.pyannote[37].end 122.81346875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 122.98221875
transcript.pyannote[38].end 124.53471875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 124.60221875
transcript.pyannote[39].end 127.18409375
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 127.25159375
transcript.pyannote[40].end 133.96784375
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 133.96784375
transcript.pyannote[41].end 134.08596875
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 134.08596875
transcript.pyannote[42].end 134.11971875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 134.11971875
transcript.pyannote[43].end 140.04284375
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 140.68409375
transcript.pyannote[44].end 147.75471875
transcript.pyannote[45].speaker SPEAKER_03
transcript.pyannote[45].start 147.75471875
transcript.pyannote[45].end 176.29034375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 148.85159375
transcript.pyannote[46].end 149.50971875
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 159.17909375
transcript.pyannote[47].end 160.07346875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 161.32221875
transcript.pyannote[48].end 163.38096875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 163.38096875
transcript.pyannote[49].end 163.39784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 164.49471875
transcript.pyannote[50].end 164.71409375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 166.73909375
transcript.pyannote[51].end 167.44784375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 170.95784375
transcript.pyannote[52].end 172.89846875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 174.87284375
transcript.pyannote[53].end 176.81346875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 176.81346875
transcript.pyannote[54].end 179.96909375
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 179.96909375
transcript.pyannote[55].end 180.03659375
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 180.03659375
transcript.pyannote[56].end 182.60159375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 180.27284375
transcript.pyannote[57].end 181.03221875
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 182.60159375
transcript.pyannote[58].end 183.93471875
transcript.pyannote[59].speaker SPEAKER_03
transcript.pyannote[59].start 182.66909375
transcript.pyannote[59].end 184.77846875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 184.77846875
transcript.pyannote[60].end 188.11971875
transcript.pyannote[61].speaker SPEAKER_03
transcript.pyannote[61].start 184.84596875
transcript.pyannote[61].end 185.26784375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 188.40659375
transcript.pyannote[62].end 188.42346875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 188.42346875
transcript.pyannote[63].end 188.47409375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 188.47409375
transcript.pyannote[64].end 188.49096875
transcript.pyannote[65].speaker SPEAKER_03
transcript.pyannote[65].start 188.49096875
transcript.pyannote[65].end 188.52471875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 188.52471875
transcript.pyannote[66].end 189.84096875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 189.92534375
transcript.pyannote[67].end 191.08971875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 191.64659375
transcript.pyannote[68].end 195.35909375
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 194.44784375
transcript.pyannote[69].end 195.91596875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 195.39284375
transcript.pyannote[70].end 195.49409375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 195.91596875
transcript.pyannote[71].end 196.91159375
transcript.pyannote[72].speaker SPEAKER_03
transcript.pyannote[72].start 195.93284375
transcript.pyannote[72].end 196.33784375
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 197.67096875
transcript.pyannote[73].end 199.86471875
transcript.pyannote[74].speaker SPEAKER_03
transcript.pyannote[74].start 197.78909375
transcript.pyannote[74].end 199.62846875
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 199.86471875
transcript.pyannote[75].end 200.28659375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 200.28659375
transcript.pyannote[76].end 206.81721875
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 204.23534375
transcript.pyannote[77].end 204.65721875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 208.58909375
transcript.pyannote[78].end 210.66471875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 210.78284375
transcript.pyannote[79].end 219.10221875
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 211.81221875
transcript.pyannote[80].end 212.40284375
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 212.41971875
transcript.pyannote[81].end 212.53784375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 212.72346875
transcript.pyannote[82].end 215.49096875
transcript.pyannote[83].speaker SPEAKER_03
transcript.pyannote[83].start 217.43159375
transcript.pyannote[83].end 222.42659375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 219.86159375
transcript.pyannote[84].end 226.96596875
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 226.96596875
transcript.pyannote[85].end 227.03346875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 227.03346875
transcript.pyannote[86].end 232.07909375
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 227.20221875
transcript.pyannote[87].end 228.70409375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 232.50096875
transcript.pyannote[88].end 245.03909375
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 234.79596875
transcript.pyannote[89].end 235.82534375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 241.36034375
transcript.pyannote[90].end 241.86659375
transcript.pyannote[91].speaker SPEAKER_03
transcript.pyannote[91].start 243.16596875
transcript.pyannote[91].end 243.90846875
transcript.pyannote[92].speaker SPEAKER_03
transcript.pyannote[92].start 245.03909375
transcript.pyannote[92].end 250.60784375
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 246.52409375
transcript.pyannote[93].end 247.35096875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 248.71784375
transcript.pyannote[94].end 248.75159375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 251.55284375
transcript.pyannote[95].end 253.03784375
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 253.03784375
transcript.pyannote[96].end 256.80096875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 254.84346875
transcript.pyannote[97].end 255.11346875
transcript.pyannote[98].speaker SPEAKER_03
transcript.pyannote[98].start 256.12596875
transcript.pyannote[98].end 256.42971875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 256.42971875
transcript.pyannote[99].end 256.48034375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 256.48034375
transcript.pyannote[100].end 256.51409375
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 257.64471875
transcript.pyannote[101].end 259.51784375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 260.41221875
transcript.pyannote[102].end 265.49159375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 265.49159375
transcript.pyannote[103].end 277.77659375
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 277.82721875
transcript.pyannote[104].end 279.71721875
transcript.pyannote[105].speaker SPEAKER_02
transcript.pyannote[105].start 279.85221875
transcript.pyannote[105].end 282.21471875
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 282.36659375
transcript.pyannote[106].end 283.27784375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 283.76721875
transcript.pyannote[107].end 286.24784375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 286.24784375
transcript.pyannote[108].end 286.55159375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 286.99034375
transcript.pyannote[109].end 288.18846875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 288.54284375
transcript.pyannote[110].end 289.75784375
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 289.06596875
transcript.pyannote[111].end 290.56784375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 290.28096875
transcript.pyannote[112].end 309.97409375
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 301.01346875
transcript.pyannote[113].end 302.88659375
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 307.27409375
transcript.pyannote[114].end 308.01659375
transcript.pyannote[115].speaker SPEAKER_03
transcript.pyannote[115].start 308.37096875
transcript.pyannote[115].end 309.07971875
transcript.pyannote[116].speaker SPEAKER_03
transcript.pyannote[116].start 309.97409375
transcript.pyannote[116].end 317.01096875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 312.64034375
transcript.pyannote[117].end 316.50471875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 317.48346875
transcript.pyannote[118].end 326.30909375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 326.30909375
transcript.pyannote[119].end 327.15284375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 326.62971875
transcript.pyannote[120].end 329.93721875
transcript.pyannote[121].speaker SPEAKER_03
transcript.pyannote[121].start 329.07659375
transcript.pyannote[121].end 330.24096875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 330.24096875
transcript.pyannote[122].end 335.18534375
transcript.pyannote[123].speaker SPEAKER_03
transcript.pyannote[123].start 335.18534375
transcript.pyannote[123].end 335.40471875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 335.25284375
transcript.pyannote[124].end 335.30346875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 335.35409375
transcript.pyannote[125].end 335.43846875
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 335.42159375
transcript.pyannote[126].end 335.52284375
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 335.45534375
transcript.pyannote[127].end 335.55659375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 335.55659375
transcript.pyannote[128].end 335.60721875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 335.60721875
transcript.pyannote[129].end 335.94471875
transcript.pyannote[130].speaker SPEAKER_03
transcript.pyannote[130].start 335.94471875
transcript.pyannote[130].end 345.20909375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 335.96159375
transcript.pyannote[131].end 337.54784375
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 342.44159375
transcript.pyannote[132].end 349.78221875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 345.91784375
transcript.pyannote[133].end 346.35659375
transcript.pyannote[134].speaker SPEAKER_03
transcript.pyannote[134].start 349.00596875
transcript.pyannote[134].end 349.47846875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 350.45721875
transcript.pyannote[135].end 354.10221875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 354.52409375
transcript.pyannote[136].end 357.03846875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 354.64221875
transcript.pyannote[137].end 355.03034375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 357.03846875
transcript.pyannote[138].end 362.97846875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 362.97846875
transcript.pyannote[139].end 363.02909375
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 363.02909375
transcript.pyannote[140].end 363.06284375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 363.06284375
transcript.pyannote[141].end 363.13034375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 363.13034375
transcript.pyannote[142].end 363.31596875
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 363.31596875
transcript.pyannote[143].end 363.33284375
transcript.pyannote[144].speaker SPEAKER_03
transcript.pyannote[144].start 363.33284375
transcript.pyannote[144].end 367.23096875
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 363.34971875
transcript.pyannote[145].end 365.88096875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 366.52221875
transcript.pyannote[146].end 367.04534375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 367.23096875
transcript.pyannote[147].end 367.28159375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 367.41659375
transcript.pyannote[148].end 372.64784375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 370.38659375
transcript.pyannote[149].end 373.13721875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 373.13721875
transcript.pyannote[150].end 373.50846875
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 374.31846875
transcript.pyannote[151].end 379.80284375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 381.00096875
transcript.pyannote[152].end 382.11471875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 381.03471875
transcript.pyannote[153].end 382.62096875
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 382.35096875
transcript.pyannote[154].end 402.11159375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 390.09659375
transcript.pyannote[155].end 391.85159375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 392.76284375
transcript.pyannote[156].end 392.84721875
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 393.31971875
transcript.pyannote[157].end 394.01159375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 394.01159375
transcript.pyannote[158].end 394.09596875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 394.39971875
transcript.pyannote[159].end 394.58534375
transcript.pyannote[160].speaker SPEAKER_03
transcript.pyannote[160].start 394.58534375
transcript.pyannote[160].end 395.26034375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 395.26034375
transcript.pyannote[161].end 395.34471875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 396.76221875
transcript.pyannote[162].end 396.79596875
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 396.79596875
transcript.pyannote[163].end 397.09971875
transcript.pyannote[164].speaker SPEAKER_03
transcript.pyannote[164].start 397.50471875
transcript.pyannote[164].end 398.06159375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 398.63534375
transcript.pyannote[165].end 398.95596875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 402.66846875
transcript.pyannote[166].end 403.44471875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 403.44471875
transcript.pyannote[167].end 403.47846875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 405.48659375
transcript.pyannote[168].end 405.50346875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 405.50346875
transcript.pyannote[169].end 412.82721875
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 411.61221875
transcript.pyannote[170].end 412.79346875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 413.68784375
transcript.pyannote[171].end 421.16346875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 413.70471875
transcript.pyannote[172].end 414.37971875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 415.05471875
transcript.pyannote[173].end 416.55659375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 418.17659375
transcript.pyannote[174].end 419.07096875
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 420.60659375
transcript.pyannote[175].end 424.80846875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 424.89284375
transcript.pyannote[176].end 435.03471875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 428.35221875
transcript.pyannote[177].end 430.57971875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 432.95909375
transcript.pyannote[178].end 433.19534375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 435.03471875
transcript.pyannote[179].end 435.22034375
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 435.22034375
transcript.pyannote[180].end 441.54846875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 435.43971875
transcript.pyannote[181].end 436.84034375
transcript.pyannote[182].speaker SPEAKER_02
transcript.pyannote[182].start 441.97034375
transcript.pyannote[182].end 443.74221875
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 444.29909375
transcript.pyannote[183].end 446.37471875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 446.86409375
transcript.pyannote[184].end 449.19284375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 448.70346875
transcript.pyannote[185].end 449.37846875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 449.37846875
transcript.pyannote[186].end 454.12034375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 449.39534375
transcript.pyannote[187].end 449.44596875
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 452.46659375
transcript.pyannote[188].end 455.74034375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 456.01034375
transcript.pyannote[189].end 459.36846875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 458.15346875
transcript.pyannote[190].end 466.08471875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 466.89471875
transcript.pyannote[191].end 476.26034375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 473.08784375
transcript.pyannote[192].end 476.10846875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 476.26034375
transcript.pyannote[193].end 476.59784375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 476.59784375
transcript.pyannote[194].end 476.64846875
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 477.05346875
transcript.pyannote[195].end 483.01034375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 482.36909375
transcript.pyannote[196].end 487.90409375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 488.51159375
transcript.pyannote[197].end 491.92034375
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 491.92034375
transcript.pyannote[198].end 493.33784375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 491.93721875
transcript.pyannote[199].end 492.40971875
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 493.33784375
transcript.pyannote[200].end 497.23596875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 498.63659375
transcript.pyannote[201].end 505.36971875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 499.54784375
transcript.pyannote[202].end 502.11284375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 504.47534375
transcript.pyannote[203].end 509.30159375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 506.88846875
transcript.pyannote[204].end 513.52034375
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 513.75659375
transcript.pyannote[205].end 517.40159375
transcript.pyannote[206].speaker SPEAKER_03
transcript.pyannote[206].start 517.78971875
transcript.pyannote[206].end 517.97534375
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 517.97534375
transcript.pyannote[207].end 524.84346875
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 520.65846875
transcript.pyannote[208].end 522.63284375
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 524.40471875
transcript.pyannote[209].end 524.94471875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 524.87721875
transcript.pyannote[210].end 529.68659375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 528.04971875
transcript.pyannote[211].end 528.25221875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 529.97346875
transcript.pyannote[212].end 535.03596875
transcript.pyannote[213].speaker SPEAKER_02
transcript.pyannote[213].start 535.13721875
transcript.pyannote[213].end 536.60534375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 537.12846875
transcript.pyannote[214].end 538.49534375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 538.59659375
transcript.pyannote[215].end 540.77346875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 541.33034375
transcript.pyannote[216].end 553.12596875
transcript.pyannote[217].speaker SPEAKER_02
transcript.pyannote[217].start 542.39346875
transcript.pyannote[217].end 543.38909375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 543.55784375
transcript.pyannote[218].end 544.28346875
transcript.pyannote[219].speaker SPEAKER_02
transcript.pyannote[219].start 546.59534375
transcript.pyannote[219].end 548.77221875
transcript.pyannote[220].speaker SPEAKER_03
transcript.pyannote[220].start 553.26096875
transcript.pyannote[220].end 557.71596875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 556.73721875
transcript.pyannote[221].end 562.96409375
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 563.01471875
transcript.pyannote[222].end 563.03159375
transcript.pyannote[223].speaker SPEAKER_03
transcript.pyannote[223].start 563.03159375
transcript.pyannote[223].end 566.84534375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 565.61346875
transcript.pyannote[224].end 566.65971875
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 567.14909375
transcript.pyannote[225].end 573.78096875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 571.48596875
transcript.pyannote[226].end 578.26971875
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 578.37096875
transcript.pyannote[227].end 579.99096875
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 580.69971875
transcript.pyannote[228].end 581.45909375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 582.60659375
transcript.pyannote[229].end 596.12346875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 589.39034375
transcript.pyannote[230].end 590.08221875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 590.72346875
transcript.pyannote[231].end 591.49971875
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 591.63471875
transcript.pyannote[232].end 592.93409375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 596.34284375
transcript.pyannote[233].end 597.13596875
transcript.pyannote[234].speaker SPEAKER_02
transcript.pyannote[234].start 597.32159375
transcript.pyannote[234].end 601.43909375
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 601.48971875
transcript.pyannote[235].end 602.70471875
transcript.pyannote[236].speaker SPEAKER_02
transcript.pyannote[236].start 602.89034375
transcript.pyannote[236].end 604.78034375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 603.64971875
transcript.pyannote[237].end 604.94909375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 604.94909375
transcript.pyannote[238].end 607.36221875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 605.05034375
transcript.pyannote[239].end 605.62409375
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 608.00346875
transcript.pyannote[240].end 614.12909375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 615.74909375
transcript.pyannote[241].end 615.95159375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 616.25534375
transcript.pyannote[242].end 631.86471875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 620.98034375
transcript.pyannote[243].end 621.41909375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 632.48909375
transcript.pyannote[244].end 635.86409375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 636.48846875
transcript.pyannote[245].end 637.28159375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 637.63596875
transcript.pyannote[246].end 650.73096875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 644.77409375
transcript.pyannote[247].end 645.02721875
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 647.64284375
transcript.pyannote[248].end 647.65971875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 647.65971875
transcript.pyannote[249].end 647.99721875
transcript.pyannote[250].speaker SPEAKER_03
transcript.pyannote[250].start 648.28409375
transcript.pyannote[250].end 648.90846875
transcript.pyannote[251].speaker SPEAKER_02
transcript.pyannote[251].start 650.88284375
transcript.pyannote[251].end 652.97534375
transcript.pyannote[252].speaker SPEAKER_03
transcript.pyannote[252].start 654.22409375
transcript.pyannote[252].end 657.00846875
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 657.12659375
transcript.pyannote[253].end 657.21096875
transcript.pyannote[254].speaker SPEAKER_02
transcript.pyannote[254].start 657.21096875
transcript.pyannote[254].end 661.27784375
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 661.22721875
transcript.pyannote[255].end 667.52159375
transcript.pyannote[256].speaker SPEAKER_02
transcript.pyannote[256].start 666.93096875
transcript.pyannote[256].end 667.89284375
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 667.89284375
transcript.pyannote[257].end 668.01096875
transcript.pyannote[258].speaker SPEAKER_02
transcript.pyannote[258].start 668.71971875
transcript.pyannote[258].end 677.03909375
transcript.pyannote[259].speaker SPEAKER_02
transcript.pyannote[259].start 677.17409375
transcript.pyannote[259].end 683.08034375
transcript.pyannote[260].speaker SPEAKER_03
transcript.pyannote[260].start 681.74721875
transcript.pyannote[260].end 681.88221875
transcript.pyannote[261].speaker SPEAKER_02
transcript.pyannote[261].start 683.36721875
transcript.pyannote[261].end 684.75096875
transcript.pyannote[262].speaker SPEAKER_03
transcript.pyannote[262].start 684.75096875
transcript.pyannote[262].end 684.90284375
transcript.pyannote[263].speaker SPEAKER_02
transcript.pyannote[263].start 684.90284375
transcript.pyannote[263].end 686.43846875
transcript.pyannote[264].speaker SPEAKER_03
transcript.pyannote[264].start 684.98721875
transcript.pyannote[264].end 689.76284375
transcript.pyannote[265].speaker SPEAKER_02
transcript.pyannote[265].start 687.31596875
transcript.pyannote[265].end 698.25096875
transcript.pyannote[266].speaker SPEAKER_03
transcript.pyannote[266].start 692.00721875
transcript.pyannote[266].end 693.32346875
transcript.pyannote[267].speaker SPEAKER_03
transcript.pyannote[267].start 694.03221875
transcript.pyannote[267].end 706.65471875
transcript.pyannote[268].speaker SPEAKER_03
transcript.pyannote[268].start 708.69659375
transcript.pyannote[268].end 711.85221875
transcript.pyannote[269].speaker SPEAKER_02
transcript.pyannote[269].start 708.91596875
transcript.pyannote[269].end 716.69534375
transcript.pyannote[270].speaker SPEAKER_02
transcript.pyannote[270].start 716.98221875
transcript.pyannote[270].end 719.98596875
transcript.pyannote[271].speaker SPEAKER_02
transcript.pyannote[271].start 720.34034375
transcript.pyannote[271].end 726.49971875
transcript.pyannote[272].speaker SPEAKER_03
transcript.pyannote[272].start 726.65159375
transcript.pyannote[272].end 726.98909375
transcript.pyannote[273].speaker SPEAKER_02
transcript.pyannote[273].start 727.19159375
transcript.pyannote[273].end 728.82846875
transcript.pyannote[274].speaker SPEAKER_02
transcript.pyannote[274].start 729.25034375
transcript.pyannote[274].end 735.46034375
transcript.pyannote[275].speaker SPEAKER_02
transcript.pyannote[275].start 735.57846875
transcript.pyannote[275].end 738.71721875
transcript.pyannote[276].speaker SPEAKER_02
transcript.pyannote[276].start 738.98721875
transcript.pyannote[276].end 743.67846875
transcript.pyannote[277].speaker SPEAKER_02
transcript.pyannote[277].start 743.89784375
transcript.pyannote[277].end 745.14659375
transcript.pyannote[278].speaker SPEAKER_02
transcript.pyannote[278].start 745.51784375
transcript.pyannote[278].end 746.44596875
transcript.pyannote[279].speaker SPEAKER_02
transcript.pyannote[279].start 746.86784375
transcript.pyannote[279].end 757.46534375
transcript.pyannote[280].speaker SPEAKER_02
transcript.pyannote[280].start 757.66784375
transcript.pyannote[280].end 758.86596875
transcript.pyannote[281].speaker SPEAKER_02
transcript.pyannote[281].start 759.16971875
transcript.pyannote[281].end 760.43534375
transcript.pyannote[282].speaker SPEAKER_02
transcript.pyannote[282].start 761.09346875
transcript.pyannote[282].end 762.46034375
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 763.45596875
transcript.pyannote[283].end 763.74284375
transcript.pyannote[284].speaker SPEAKER_02
transcript.pyannote[284].start 763.59096875
transcript.pyannote[284].end 765.46409375
transcript.pyannote[285].speaker SPEAKER_02
transcript.pyannote[285].start 765.75096875
transcript.pyannote[285].end 773.98596875
transcript.pyannote[286].speaker SPEAKER_02
transcript.pyannote[286].start 774.49221875
transcript.pyannote[286].end 778.00221875
transcript.pyannote[287].speaker SPEAKER_02
transcript.pyannote[287].start 778.55909375
transcript.pyannote[287].end 779.82471875
transcript.pyannote[288].speaker SPEAKER_02
transcript.pyannote[288].start 780.06096875
transcript.pyannote[288].end 781.41096875
transcript.pyannote[289].speaker SPEAKER_02
transcript.pyannote[289].start 781.81596875
transcript.pyannote[289].end 784.26284375
transcript.pyannote[290].speaker SPEAKER_02
transcript.pyannote[290].start 784.68471875
transcript.pyannote[290].end 786.22034375
transcript.pyannote[291].speaker SPEAKER_02
transcript.pyannote[291].start 786.69284375
transcript.pyannote[291].end 795.46784375
transcript.pyannote[292].speaker SPEAKER_03
transcript.pyannote[292].start 786.97971875
transcript.pyannote[292].end 787.03034375
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 787.03034375
transcript.pyannote[293].end 789.20721875
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 790.92846875
transcript.pyannote[294].end 791.02971875
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 791.02971875
transcript.pyannote[295].end 791.04659375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 791.04659375
transcript.pyannote[296].end 793.03784375
transcript.pyannote[297].speaker SPEAKER_03
transcript.pyannote[297].start 793.03784375
transcript.pyannote[297].end 795.43409375
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 795.43409375
transcript.pyannote[298].end 795.45096875
transcript.pyannote[299].speaker SPEAKER_02
transcript.pyannote[299].start 796.46346875
transcript.pyannote[299].end 798.35346875
transcript.pyannote[300].speaker SPEAKER_02
transcript.pyannote[300].start 799.34909375
transcript.pyannote[300].end 800.29409375
transcript.pyannote[301].speaker SPEAKER_03
transcript.pyannote[301].start 799.92284375
transcript.pyannote[301].end 799.97346875
transcript.pyannote[302].speaker SPEAKER_02
transcript.pyannote[302].start 800.69909375
transcript.pyannote[302].end 806.30159375
transcript.pyannote[303].speaker SPEAKER_03
transcript.pyannote[303].start 801.30659375
transcript.pyannote[303].end 803.44971875
transcript.pyannote[304].speaker SPEAKER_02
transcript.pyannote[304].start 806.60534375
transcript.pyannote[304].end 808.61346875
transcript.pyannote[305].speaker SPEAKER_03
transcript.pyannote[305].start 809.59221875
transcript.pyannote[305].end 809.77784375
transcript.pyannote[306].speaker SPEAKER_02
transcript.pyannote[306].start 809.77784375
transcript.pyannote[306].end 816.64596875
transcript.pyannote[307].speaker SPEAKER_03
transcript.pyannote[307].start 814.35096875
transcript.pyannote[307].end 829.15034375
transcript.pyannote[308].speaker SPEAKER_02
transcript.pyannote[308].start 817.01721875
transcript.pyannote[308].end 822.65346875
transcript.pyannote[309].speaker SPEAKER_02
transcript.pyannote[309].start 822.68721875
transcript.pyannote[309].end 829.62284375
transcript.pyannote[310].speaker SPEAKER_01
transcript.pyannote[310].start 829.15034375
transcript.pyannote[310].end 829.23471875
transcript.pyannote[311].speaker SPEAKER_02
transcript.pyannote[311].start 829.96034375
transcript.pyannote[311].end 834.02721875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 829.99409375
transcript.pyannote[312].end 833.21721875
transcript.pyannote[313].speaker SPEAKER_02
transcript.pyannote[313].start 834.06096875
transcript.pyannote[313].end 845.14784375
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 836.86221875
transcript.pyannote[314].end 839.08971875
transcript.pyannote[315].speaker SPEAKER_02
transcript.pyannote[315].start 845.73846875
transcript.pyannote[315].end 849.68721875
transcript.pyannote[316].speaker SPEAKER_02
transcript.pyannote[316].start 850.37909375
transcript.pyannote[316].end 852.13409375
transcript.pyannote[317].speaker SPEAKER_02
transcript.pyannote[317].start 852.43784375
transcript.pyannote[317].end 854.44596875
transcript.pyannote[318].speaker SPEAKER_02
transcript.pyannote[318].start 854.74971875
transcript.pyannote[318].end 856.08284375
transcript.pyannote[319].speaker SPEAKER_02
transcript.pyannote[319].start 856.43721875
transcript.pyannote[319].end 857.85471875
transcript.pyannote[320].speaker SPEAKER_02
transcript.pyannote[320].start 858.15846875
transcript.pyannote[320].end 859.50846875
transcript.pyannote[321].speaker SPEAKER_02
transcript.pyannote[321].start 859.77846875
transcript.pyannote[321].end 861.04409375
transcript.pyannote[322].speaker SPEAKER_02
transcript.pyannote[322].start 861.21284375
transcript.pyannote[322].end 862.29284375
transcript.pyannote[323].speaker SPEAKER_02
transcript.pyannote[323].start 862.54596875
transcript.pyannote[323].end 865.09409375
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 865.49909375
transcript.pyannote[324].end 865.71846875
transcript.pyannote[325].speaker SPEAKER_03
transcript.pyannote[325].start 866.02221875
transcript.pyannote[325].end 893.05596875
transcript.pyannote[326].speaker SPEAKER_02
transcript.pyannote[326].start 868.94159375
transcript.pyannote[326].end 870.76409375
transcript.pyannote[327].speaker SPEAKER_02
transcript.pyannote[327].start 870.88221875
transcript.pyannote[327].end 872.92409375
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 874.59471875
transcript.pyannote[328].end 875.37096875
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 875.80971875
transcript.pyannote[329].end 876.28221875
transcript.pyannote[330].speaker SPEAKER_02
transcript.pyannote[330].start 876.28221875
transcript.pyannote[330].end 879.47159375
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 879.47159375
transcript.pyannote[331].end 879.58971875
transcript.pyannote[332].speaker SPEAKER_01
transcript.pyannote[332].start 881.07471875
transcript.pyannote[332].end 884.12909375
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 884.12909375
transcript.pyannote[333].end 884.16284375
transcript.pyannote[334].speaker SPEAKER_01
transcript.pyannote[334].start 886.81221875
transcript.pyannote[334].end 888.82034375
transcript.pyannote[335].speaker SPEAKER_03
transcript.pyannote[335].start 893.25846875
transcript.pyannote[335].end 897.66284375
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 893.52846875
transcript.pyannote[336].end 894.62534375
transcript.pyannote[337].speaker SPEAKER_00
transcript.pyannote[337].start 895.03034375
transcript.pyannote[337].end 895.97534375
transcript.pyannote[338].speaker SPEAKER_03
transcript.pyannote[338].start 898.45596875
transcript.pyannote[338].end 899.97471875
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 898.96221875
transcript.pyannote[339].end 899.92409375
transcript.whisperx[0].start 10.584
transcript.whisperx[0].end 23.89
transcript.whisperx[0].text 主席在場的委員先進列席的政府專事長官員會長公共夥伴記者媒體女士先生有請我們中央銀行楊總裁國發會的高副主委還有邀請勞動部的理事長各位長官請中央人早
transcript.whisperx[1].start 32.765
transcript.whisperx[1].end 43.284
transcript.whisperx[1].text 總裁好 副主委好 次長好今天主題呢 籌建主權基金專法專責專才 要讓任務強化關注就業心智來 先請教總裁是你有宗教信仰嗎
transcript.whisperx[2].start 45.319
transcript.whisperx[2].end 68.877
transcript.whisperx[2].text 我覺得每一個人都要有宗教信仰那你知道台灣社會有兩種非宗教信仰嗎我講給你聽上班族有土地信仰相信房地產只會漲產業界有一個央行信仰相信央行台幣主升不主貶你同意嗎我覺得房地產只會漲央行信仰你同意嗎
transcript.whisperx[3].start 69.884
transcript.whisperx[3].end 94.345
transcript.whisperx[3].text 有這樣的央行信仰嗎沒有啊 因為這個這是明顯的財幣升了嘛你看我們前一波我們才足比啊所以央行信仰呢 被一個修正了我們央行還是會有升有貶的但是呢 過去這個央行信仰在的時間啊我們的產業界 我們的售險界因為這個信仰所以呢 這邊有售險業他們的美金的避險做得不夠
transcript.whisperx[4].start 95.126
transcript.whisperx[4].end 120.618
transcript.whisperx[4].text 所以這連續幾天的升值他們就嘩嘩叫但是我們來看一下我比較驚訝的坦白說這個過程迅速的升值有包有扁但我個人比較傾向是正面肯定因為您提到了房子突暈的突擊這在過去台幣緩慢升值的信仰當中給很多人有可趁之機這次呢突破傳統的想法認為央行呢就算是會升也是慢慢的升
transcript.whisperx[5].start 121.378
transcript.whisperx[5].end 139.094
transcript.whisperx[5].text 結果沒有這樣的情況所以出乎人家意料破除人家的央行信仰我覺得這個值得肯定謝謝非常謝謝這個對我們是一個很大的鼓勵但是我有一個疑惑為什麼你們央行表示台幣升值不影響央行的腳庫盈餘
transcript.whisperx[6].start 140.748
transcript.whisperx[6].end 169.188
transcript.whisperx[6].text 他說報紙上報導台幣升值不會影響央行的損益淨值跟腳庫盈餘這怎麼回事啊我跟委員報告我很簡單的講就是說因為我們匯率就是說匯率會有這樣的一個如果說貶值的時候呢貶值的時候呢我們的現在升值我們貶值的時候呢升值的時候你的盈餘會不會縮水我們就有盈餘對上一上一上一陣子我們到一兆多現在台幣升值你的盈餘會不會縮水
transcript.whisperx[7].start 170.309
transcript.whisperx[7].end 196.769
transcript.whisperx[7].text 不會因為為什麼因為這個那英語怎麼來的不我先來先說我先問你腳褲英語怎麼來的我們腳褲的英語就是我們的收益啊你們的收益怎麼來的主要收益哪裡我們收益的就是投資各個幣別的是嗎我們來看一下各個幣別的啊央行握有美債超過4600多億對不對如果台幣升值了你這樣的一個透過美債持有美債的收益就會縮水嘛是不是這樣子是不是這樣同不同意
transcript.whisperx[8].start 197.71
transcript.whisperx[8].end 202.8
transcript.whisperx[8].text 那今天呢 而且你還不是一次喔國庫金基努啊央行盈餘繳庫連續兩年超過兩千億請問一下盈餘繳庫
transcript.whisperx[9].start 208.809
transcript.whisperx[9].end 231.368
transcript.whisperx[9].text 繳固盈餘是用央行的錢賺來的嗎是啊沒有錯啊是央行的錢喔不是不是外匯存底外匯存底是全民的資產啊對啦沒有錯啊那怎麼是央行的錢是啦因為我們也好既然央行用來賺繳固盈餘的錢是外匯存底持有的美債為主那請問一下你用大家的錢賺的錢繳固盈餘是你央行的經營目標嗎
transcript.whisperx[10].start 232.689
transcript.whisperx[10].end 249.396
transcript.whisperx[10].text 沒有不是你的目標嗎對沒有那很奇怪但是每次我聽你們央行在講的好像把腳褲盈餘神聖不可侵犯沒有如果要維持這個腳褲盈餘沒有財政部有同意嗎沒有財政部市長絕對沒有你們同意嗎財政部市長對沒有沒有以後你們腳褲盈餘變少了財政部不會講話沒有絕對沒有請問市長央行的盈餘腳褲是他的使命嗎
transcript.whisperx[11].start 261.502
transcript.whisperx[11].end 285.336
transcript.whisperx[11].text 據我了解各國的央行幾乎都會把那英語都會攪哭了好來我們看各國的你既然講到來央行總裁看一下這是美國的年準會他說他的使命是有效促進充分就業為什麼請勞動部長來市長來物價穩定和長期利率的市住對央行法寫什麼金融穩定健全銀行幣值的穩定以及經濟發展對
transcript.whisperx[12].start 287.037
transcript.whisperx[12].end 307.579
transcript.whisperx[12].text 有沒有寫到腳步盈餘沒有那請問一下美國的聯準會關心的問題央行有沒有關心就業跟物價你關不關心就業跟物價剛剛財政部長說各國的央行都有做的事情那我想我們台灣的央行也會做你有關心物價跟就業嗎
transcript.whisperx[13].start 309.881
transcript.whisperx[13].end 325.988
transcript.whisperx[13].text 我們的物價是在幣值的穩定那邊啦幣值的穩定因為購買力的問題我們再講啦往下看但是呢我們過去本席也跟很多委員有提過立法院也曾經多次提過要用外匯存底來提撥成立主權基金你還記得吧
transcript.whisperx[14].start 326.708
transcript.whisperx[14].end 349.466
transcript.whisperx[14].text 你是不是堅定的反對對你堅定的反對嗎對那但是呢你現在呢堅決反對但是現在堅持不反對啊沒有你從堅決反對到堅持不反對我們堅決反對是說無償的不用我們是堅決反對但是你不是反對拿外匯存底就對了但是呢你的反對是反對不是反對拿外匯存底為什麼因為
transcript.whisperx[15].start 350.509
transcript.whisperx[15].end 379.425
transcript.whisperx[15].text 因為其他的國家都是用外匯存體做沒有韓國就是嘛 對不對沒有 不是我來問你 韓國是不是用外匯存體我說韓國是用外匯存體委託他對 委託他嘛那委託呢過去堅持反對 現在堅持不反對你堅持什麼沒有沒有沒有第一 主權基金未來不虧央行款 對不對對第二個可以用外匯存體但是要有償使用 對不對
transcript.whisperx[16].start 381.055
transcript.whisperx[16].end 403.289
transcript.whisperx[16].text 第三要有專法這是你的堅持嘛堅持不歸央行款堅持外匯存體要有償使用堅持要有專法是不是這樣子所以我說嘛過去你堅決反對大家誤會你了嘛你不是堅決反對你是堅持但不反對來往下看那現在呢我們財政部說成立主權接近要設定專法來次長為什麼要有專法
transcript.whisperx[17].start 405.886
transcript.whisperx[17].end 412.07
transcript.whisperx[17].text 基本上因為它涉及因為它是一個創富基金那創富基金所以它是在所以要監督
transcript.whisperx[18].start 414.015
transcript.whisperx[18].end 434.053
transcript.whisperx[18].text 他要監督 因為他的風險比較高 有賺有虧嘛所以有賺有虧有風險嘛但不能說賺就是有功 賠就是要法要專法 要依法來管 不是依盈虧賺賠來管專法的目的不是依賺賠盈虧來管 是依法來管理對 依法來管理
transcript.whisperx[19].start 435.934
transcript.whisperx[19].end 446.201
transcript.whisperx[19].text 那這也同意說違不宜由外匯質疑直接無藏不用那請問我們國防外部主委你們這個議題是誰在主管主權基金現在行政院交給誰來研究
transcript.whisperx[20].start 447.509
transcript.whisperx[20].end 465.877
transcript.whisperx[20].text 現在就是國發會嘛目前還沒有定案是有哪一個管機關我們猜應該是國發會管啊對 還是要等行政院決定那假設未來國發會管來 請問一下剛剛我們總裁跟財政部長說的外匯存體要怎麼有償的使用
transcript.whisperx[21].start 467.183
transcript.whisperx[21].end 486.921
transcript.whisperx[21].text 基本上如果按照那個 新加坡的例子的話是他們用發債的方式那是發債 我說外匯存底呢 有啥使用發債 然後呢他們就是外匯存底 有部分是他們是做財務性的操作那他就可以 聽不太懂外匯存底 跟央行拿外匯存底使用要付央行錢 簡單講是這樣
transcript.whisperx[22].start 488.542
transcript.whisperx[22].end 514.835
transcript.whisperx[22].text 就是說其實因為央行裡面它基本上來我請問一下總裁如果要央行要有償使用我想就是說基本上用你的外匯存體你管外匯存體要多少錢新加坡它如果說要用動物我問新加坡我說你說的有償使用使用央行管你的外匯存體要多少錢就是兩個途徑第一個途徑就是說你要買匯你要跟專案銀行買匯這個才有償對不對
transcript.whisperx[23].start 517.916
transcript.whisperx[23].end 539.008
transcript.whisperx[23].text 所以央行可以透過買匯拿到錢就對了所以未來我們就這樣結論了主權基金成立之後他的盈餘他負責繳庫嘛因為怎麼樣本來央行拿去操作美債賺的錢繳庫的錢現在換成主權基金跟你有償使用後他負的錢那請問是你繼續繳庫還是他來繳庫
transcript.whisperx[24].start 541.34
transcript.whisperx[24].end 544.402
transcript.whisperx[24].text 你會不會因為主權基金使用你的外匯存底而
transcript.whisperx[25].start 561.192
transcript.whisperx[25].end 579.513
transcript.whisperx[25].text 有收益要繳庫沒有就是我們的外匯存底主席不要緊張但是他現在就是說他如果說是用新台幣來跟我們買的時候我簡單問你如果未來主席成立動用到你的外匯存底你會收到他付的錢對不對這個是不是你的營運要繳庫你說什麼
transcript.whisperx[26].start 582.659
transcript.whisperx[26].end 604.246
transcript.whisperx[26].text 我已經問了三次了 再說一次你竟然主張外匯存底使用 主均均使用要有償不管他用什麼方式 你會有一筆錢 有一筆收益嘛這個收益就是你要小庫的嘛 對不對那以後這個錢呢 多或少就不那麼重要了嘛至少不是你的使命嘛 你的使命怎麼樣要不要促進充分就業跟副業沒有錯 那請問次長 理事長
transcript.whisperx[27].start 608.047
transcript.whisperx[27].end 635.538
transcript.whisperx[27].text 那你覺得央行是不是應該跟聯儲會一樣關心就業也關心我們的薪資水平呢保委我了解美國的FED他是很關心就業水準特別是失業率是他們的一個重要的衡量指標是那我覺得我想我們的央行他本於他的職權也是會關注這一塊好也會關注期待啦我們下一頁因為時間關係好央行怎麼保持我們新台幣的幣值穩定第一個
transcript.whisperx[28].start 636.53
transcript.whisperx[28].end 652.816
transcript.whisperx[28].text 你要匯率就對美金的匯率對不對這是我們對外國財貨的購買力第二個是我們的CPI我們的物價指數物價不能太上漲不能購買力會下降是不是那請問央行為了維持幣值穩定台幣的主升容易還是主貶容易
transcript.whisperx[29].start 654.246
transcript.whisperx[29].end 665.163
transcript.whisperx[29].text 我想兩個都不太容易啦如果比較起來,你老師問我們兩個的答案比較起來兩個比較容易比較起來的時候呢,我覺得組生比較難組生比較難,我們看一下
transcript.whisperx[30].start 668.772
transcript.whisperx[30].end 691.636
transcript.whisperx[30].text 今天如果美金要貶值你要防止台幣升值你只要釋出台幣就好了嘛你發行國庫券從銀行把新台幣拿出來交給持有外匯的業者增加新台幣供給台幣會不會升值你要怎麼阻止台幣貶值你能夠阻止台幣貶值嗎你阻止台幣貶值要拋售美金啊對不對
transcript.whisperx[31].start 692.336
transcript.whisperx[31].end 706.479
transcript.whisperx[31].text 你的美金如果有限 你拋售的能力有限但是台幣 竹筆權 台幣竹筆在你手上對啦 委員這樣講的話 那我稍微修改我的答案事實上呢 竹升跟竹貶都不大容易啦
transcript.whisperx[32].start 712.381
transcript.whisperx[32].end 726.265
transcript.whisperx[32].text 因為主生容易所以你只要發行新台幣擴大新台幣就好了不加薪結果我們新台幣通過增加的結果我們的什麼薪水沒有增加物價是微微的上漲但是我們的房地產上漲了往下看
transcript.whisperx[33].start 727.425
transcript.whisperx[33].end 734.948
transcript.whisperx[33].text 這是一個很重要的資產負債表央行過去在2017年到2024年我們的資產負債表從2017年的8.5兆到21.1兆我們的明目GDP是從18.6上升到26.5我們央行的資產負債表的占比占我國的GDP從45上升到快80上升了33
transcript.whisperx[34].start 746.952
transcript.whisperx[34].end 762.299
transcript.whisperx[34].text 美國上次的貨幣寬鬆QE1到QE3他從2007到2014他也只不過了他們的聯準會的資產副照表也不過的戰機率的占比呢增加了不到20他目前占比只有25這什麼意思我們往下看
transcript.whisperx[35].start 763.622
transcript.whisperx[35].end 782.549
transcript.whisperx[35].text 台美的貨幣擴張的規模台灣在最近7年來我們的M2貨幣供給量從44.5兆增加到64.5兆增加20兆美國在上市的貨幣寬鬆時期也足夠增加3.5兆美金指標我們看一下台幣跟美國的比較是107.5兆對23.8兆請問一下李市長
transcript.whisperx[36].start 786.75
transcript.whisperx[36].end 791.153
transcript.whisperx[36].text 如果基礎貿易大幅擴張導致物價跟房地產過度膨脹你覺得對我們社信階級有什麼影響
transcript.whisperx[37].start 809.864
transcript.whisperx[37].end 828.2
transcript.whisperx[37].text 就勞工部立場當然物價上漲勞工的實質薪資率就會那麼高那房地產上漲呢我們現在是可以罵這個我要結論了我要結論了主席你已經超過十幾分鐘了好不好你剛剛突然站起來害我嚇一跳精神損失前面兩分鐘超過十幾分鐘了我已經給你十幾分鐘了可以了可以了不要兩分鐘了好兩分鐘就好換接位好不好兩條前面的人繼續我們要做個結論嘛
transcript.whisperx[38].start 830.081
transcript.whisperx[38].end 832.944
transcript.whisperx[38].text 請往前上一張以GDP的規模做比較過去台灣7年比美國規模還大的QE結論我要講出來總裁請你注意一下拜託
transcript.whisperx[39].start 850.422
transcript.whisperx[39].end 864.972
transcript.whisperx[39].text 如果要成立國家主權基金央行法的第二條你的經營的目標請你要考慮放進有效促進充分就業提高薪資水準以及物價穩定可不可以往這個目標去研議你們央行法的修改
transcript.whisperx[40].start 866.674
transcript.whisperx[40].end 870.416
transcript.whisperx[40].text 呃...我覺得是不...呃...不...呃...是不...所以你不擔心就是了...就是了現在請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請楊瓊議員諮詢請�
transcript.whisperx[41].start 893.672
transcript.whisperx[41].end 899.761
transcript.whisperx[41].text 我希望委員尊重夫妻了你超過20分鐘了這個過分了吧站起來說我坐下來了啊