iVOD / 164058

Field Value
IVOD_ID 164058
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164058
日期 2025-10-13
會議資料.會議代碼 委員會-11-4-26-3
會議資料.會議代碼:str 第11屆第4會期社會福利及衛生環境委員會第3次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 3
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第4會期社會福利及衛生環境委員會第3次全體委員會議
影片種類 Clip
開始時間 2025-10-13T12:49:56+08:00
結束時間 2025-10-13T13:09:26+08:00
影片長度 00:19:30
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5d6d14916e595edcdd977ca2d203cf9beadaba87319979820384c49a5c49387943b8e70d39bd81cd5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 劉建國
委員發言時間 12:49:56 - 13:09:26
會議時間 2025-10-13T09:00:00+08:00
會議名稱 立法院第11屆第4會期社會福利及衛生環境委員會第3次全體委員會議(事由:邀請衛生福利部部長及行政院食品安全辦公室就「重大食安事件處理之檢討與食安稽核人力不足問題」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 5.19471875
transcript.pyannote[0].end 26.27159375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 12.31596875
transcript.pyannote[1].end 13.42971875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 13.93596875
transcript.pyannote[2].end 15.06659375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 16.01159375
transcript.pyannote[3].end 16.95659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 26.84534375
transcript.pyannote[4].end 39.77159375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 39.97409375
transcript.pyannote[5].end 85.55346875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 86.02596875
transcript.pyannote[6].end 88.77659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 89.21534375
transcript.pyannote[7].end 92.75909375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 91.51034375
transcript.pyannote[8].end 92.21909375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 93.01221875
transcript.pyannote[9].end 94.95284375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 95.44221875
transcript.pyannote[10].end 135.89159375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 136.31346875
transcript.pyannote[11].end 146.72534375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 136.56659375
transcript.pyannote[12].end 138.86159375
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 147.40034375
transcript.pyannote[13].end 155.90534375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 156.37784375
transcript.pyannote[14].end 157.69409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 159.49971875
transcript.pyannote[15].end 170.21534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 171.43034375
transcript.pyannote[16].end 180.91409375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 181.26846875
transcript.pyannote[17].end 184.27221875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 184.89659375
transcript.pyannote[18].end 186.58409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 187.05659375
transcript.pyannote[19].end 187.73159375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 188.35596875
transcript.pyannote[20].end 189.57096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 190.24596875
transcript.pyannote[21].end 191.74784375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 194.22846875
transcript.pyannote[22].end 196.94534375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 198.46409375
transcript.pyannote[23].end 201.88971875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 203.17221875
transcript.pyannote[24].end 205.61909375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 206.74971875
transcript.pyannote[25].end 212.50409375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 213.38159375
transcript.pyannote[26].end 216.80721875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 217.34721875
transcript.pyannote[27].end 220.43534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 220.63784375
transcript.pyannote[28].end 225.39659375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 226.96596875
transcript.pyannote[29].end 228.65346875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 229.04159375
transcript.pyannote[30].end 230.99909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 231.43784375
transcript.pyannote[31].end 232.77096875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 234.99846875
transcript.pyannote[32].end 238.66034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 239.38596875
transcript.pyannote[33].end 243.48659375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 244.34721875
transcript.pyannote[34].end 245.30909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 245.46096875
transcript.pyannote[35].end 248.92034375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 250.43909375
transcript.pyannote[36].end 252.41346875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 254.35409375
transcript.pyannote[37].end 256.39596875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 257.12159375
transcript.pyannote[38].end 260.66534375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 261.64409375
transcript.pyannote[39].end 266.58846875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 267.29721875
transcript.pyannote[40].end 273.84471875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 274.63784375
transcript.pyannote[41].end 279.49784375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 279.81846875
transcript.pyannote[42].end 281.60721875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 281.97846875
transcript.pyannote[43].end 284.67846875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 285.45471875
transcript.pyannote[44].end 287.58096875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 287.90159375
transcript.pyannote[45].end 288.39096875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 288.64409375
transcript.pyannote[46].end 289.90971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 290.34846875
transcript.pyannote[47].end 292.03596875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 292.79534375
transcript.pyannote[48].end 294.14534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 294.97221875
transcript.pyannote[49].end 296.40659375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 296.60909375
transcript.pyannote[50].end 297.35159375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 299.17409375
transcript.pyannote[51].end 300.91221875
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 301.03034375
transcript.pyannote[52].end 301.50284375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 302.00909375
transcript.pyannote[53].end 303.15659375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 304.45596875
transcript.pyannote[54].end 304.99596875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 305.85659375
transcript.pyannote[55].end 306.59909375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 307.40909375
transcript.pyannote[56].end 307.66221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 308.05034375
transcript.pyannote[57].end 308.92784375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 309.58596875
transcript.pyannote[58].end 310.49721875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 312.10034375
transcript.pyannote[59].end 315.20534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 315.74534375
transcript.pyannote[60].end 317.09534375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 317.83784375
transcript.pyannote[61].end 318.98534375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 319.99784375
transcript.pyannote[62].end 320.70659375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 322.86659375
transcript.pyannote[63].end 327.10221875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 331.01721875
transcript.pyannote[64].end 337.36221875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 337.78409375
transcript.pyannote[65].end 341.61471875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 341.95221875
transcript.pyannote[66].end 343.65659375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 344.93909375
transcript.pyannote[67].end 345.31034375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 345.64784375
transcript.pyannote[68].end 346.99784375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 347.60534375
transcript.pyannote[69].end 349.20846875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 352.71846875
transcript.pyannote[70].end 353.89971875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 354.60846875
transcript.pyannote[71].end 355.51971875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 356.22846875
transcript.pyannote[72].end 358.48971875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 359.72159375
transcript.pyannote[73].end 361.03784375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 361.86471875
transcript.pyannote[74].end 362.69159375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 363.43409375
transcript.pyannote[75].end 365.03721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 365.39159375
transcript.pyannote[76].end 368.24346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 368.58096875
transcript.pyannote[77].end 370.92659375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 371.39909375
transcript.pyannote[78].end 374.30159375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 375.07784375
transcript.pyannote[79].end 375.85409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 376.34346875
transcript.pyannote[80].end 377.59221875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 380.66346875
transcript.pyannote[81].end 382.65471875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 383.44784375
transcript.pyannote[82].end 405.03096875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 405.55409375
transcript.pyannote[83].end 408.25409375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 408.79409375
transcript.pyannote[84].end 411.52784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 412.11846875
transcript.pyannote[85].end 413.89034375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 414.32909375
transcript.pyannote[86].end 415.05471875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 417.18096875
transcript.pyannote[87].end 418.80096875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 419.66159375
transcript.pyannote[88].end 420.43784375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 420.97784375
transcript.pyannote[89].end 421.51784375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 422.22659375
transcript.pyannote[90].end 423.59346875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 424.16721875
transcript.pyannote[91].end 424.38659375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 424.77471875
transcript.pyannote[92].end 426.49596875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 428.08221875
transcript.pyannote[93].end 429.16221875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 431.15346875
transcript.pyannote[94].end 432.21659375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 433.17846875
transcript.pyannote[95].end 435.77721875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 437.12721875
transcript.pyannote[96].end 437.93721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 438.00471875
transcript.pyannote[97].end 438.03846875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 438.08909375
transcript.pyannote[98].end 439.27034375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 439.74284375
transcript.pyannote[99].end 440.87346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 441.86909375
transcript.pyannote[100].end 442.34159375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 442.99971875
transcript.pyannote[101].end 443.69159375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 443.72534375
transcript.pyannote[102].end 444.48471875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 447.01596875
transcript.pyannote[103].end 447.37034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 447.65721875
transcript.pyannote[104].end 448.58534375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 449.74971875
transcript.pyannote[105].end 453.19221875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 453.69846875
transcript.pyannote[106].end 454.87971875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 455.13284375
transcript.pyannote[107].end 455.79096875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 456.11159375
transcript.pyannote[108].end 457.03971875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 457.71471875
transcript.pyannote[109].end 459.95909375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 462.69284375
transcript.pyannote[110].end 463.95846875
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 464.68409375
transcript.pyannote[111].end 466.00034375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 469.17284375
transcript.pyannote[112].end 469.88159375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 470.75909375
transcript.pyannote[113].end 473.64471875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 474.23534375
transcript.pyannote[114].end 475.73721875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 476.15909375
transcript.pyannote[115].end 479.24721875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 480.47909375
transcript.pyannote[116].end 482.53784375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 483.12846875
transcript.pyannote[117].end 483.41534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 483.66846875
transcript.pyannote[118].end 485.06909375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 486.57096875
transcript.pyannote[119].end 488.14034375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 488.79846875
transcript.pyannote[120].end 489.18659375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 490.03034375
transcript.pyannote[121].end 490.28346875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 490.92471875
transcript.pyannote[122].end 492.56159375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 493.15221875
transcript.pyannote[123].end 494.06346875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 494.40096875
transcript.pyannote[124].end 496.69596875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 495.34596875
transcript.pyannote[125].end 495.80159375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 496.74659375
transcript.pyannote[126].end 497.20221875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 497.91096875
transcript.pyannote[127].end 499.24409375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 499.53096875
transcript.pyannote[128].end 500.94846875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 501.01596875
transcript.pyannote[129].end 501.06659375
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 501.06659375
transcript.pyannote[130].end 502.75409375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 502.50096875
transcript.pyannote[131].end 503.61471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 503.74971875
transcript.pyannote[132].end 504.08721875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 503.91846875
transcript.pyannote[133].end 507.10784375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 505.50471875
transcript.pyannote[134].end 506.88846875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 507.10784375
transcript.pyannote[135].end 508.03596875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 507.12471875
transcript.pyannote[136].end 508.00221875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 508.03596875
transcript.pyannote[137].end 509.53784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 509.67284375
transcript.pyannote[138].end 512.64284375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 510.34784375
transcript.pyannote[139].end 511.46159375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 512.89596875
transcript.pyannote[140].end 513.33471875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 513.73971875
transcript.pyannote[141].end 515.76471875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 516.05159375
transcript.pyannote[142].end 516.42284375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 516.70971875
transcript.pyannote[143].end 518.24534375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 518.97096875
transcript.pyannote[144].end 519.83159375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 521.08034375
transcript.pyannote[145].end 521.95784375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 523.54409375
transcript.pyannote[146].end 524.01659375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 524.37096875
transcript.pyannote[147].end 524.77596875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 526.04159375
transcript.pyannote[148].end 526.44659375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 527.93159375
transcript.pyannote[149].end 528.72471875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 528.97784375
transcript.pyannote[150].end 529.56846875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 530.19284375
transcript.pyannote[151].end 532.82534375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 532.99409375
transcript.pyannote[152].end 534.29346875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 534.64784375
transcript.pyannote[153].end 540.01409375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 540.97596875
transcript.pyannote[154].end 542.03909375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 544.72221875
transcript.pyannote[155].end 545.44784375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 545.92034375
transcript.pyannote[156].end 547.47284375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 551.80971875
transcript.pyannote[157].end 552.87284375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 554.74596875
transcript.pyannote[158].end 561.02346875
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 561.47909375
transcript.pyannote[159].end 598.75596875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 598.75596875
transcript.pyannote[160].end 598.95846875
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 598.78971875
transcript.pyannote[161].end 598.97534375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 598.97534375
transcript.pyannote[162].end 601.27034375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 601.43909375
transcript.pyannote[163].end 609.97784375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 607.44659375
transcript.pyannote[164].end 608.34096875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 609.35346875
transcript.pyannote[165].end 609.80909375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 609.97784375
transcript.pyannote[166].end 611.86784375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 611.95221875
transcript.pyannote[167].end 637.97346875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 637.97346875
transcript.pyannote[168].end 639.20534375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 639.52596875
transcript.pyannote[169].end 639.54284375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 639.54284375
transcript.pyannote[170].end 640.26846875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 640.72409375
transcript.pyannote[171].end 645.12846875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 645.60096875
transcript.pyannote[172].end 646.39409375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 646.39409375
transcript.pyannote[173].end 646.41096875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 646.41096875
transcript.pyannote[174].end 646.42784375
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 646.42784375
transcript.pyannote[175].end 647.82846875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 648.43596875
transcript.pyannote[176].end 651.91221875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 648.87471875
transcript.pyannote[177].end 650.64659375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 652.43534375
transcript.pyannote[178].end 656.11409375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 656.75534375
transcript.pyannote[179].end 657.04221875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 657.32909375
transcript.pyannote[180].end 680.88659375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 681.19034375
transcript.pyannote[181].end 688.69971875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 688.00784375
transcript.pyannote[182].end 705.08534375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 694.42034375
transcript.pyannote[183].end 694.52159375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 694.55534375
transcript.pyannote[184].end 695.33159375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 695.38221875
transcript.pyannote[185].end 695.66909375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 705.64221875
transcript.pyannote[186].end 706.38471875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 706.48596875
transcript.pyannote[187].end 706.84034375
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 706.92471875
transcript.pyannote[188].end 707.32971875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 707.66721875
transcript.pyannote[189].end 709.91159375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 710.14784375
transcript.pyannote[190].end 714.85596875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 715.22721875
transcript.pyannote[191].end 716.15534375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 716.42534375
transcript.pyannote[192].end 716.79659375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 716.98221875
transcript.pyannote[193].end 722.90534375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 724.49159375
transcript.pyannote[194].end 729.50346875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 726.88784375
transcript.pyannote[195].end 728.89596875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 729.50346875
transcript.pyannote[196].end 731.39346875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 731.59596875
transcript.pyannote[197].end 742.93596875
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 736.01721875
transcript.pyannote[198].end 737.08034375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 742.93596875
transcript.pyannote[199].end 749.53409375
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 749.61846875
transcript.pyannote[200].end 752.77409375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 753.12846875
transcript.pyannote[201].end 757.78596875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 759.55784375
transcript.pyannote[202].end 764.62034375
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 764.89034375
transcript.pyannote[203].end 765.75096875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 766.79721875
transcript.pyannote[204].end 770.67846875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 768.11346875
transcript.pyannote[205].end 769.07534375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 771.20159375
transcript.pyannote[206].end 776.01096875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 777.66471875
transcript.pyannote[207].end 781.36034375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 781.93409375
transcript.pyannote[208].end 786.62534375
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 787.06409375
transcript.pyannote[209].end 791.35034375
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 787.46909375
transcript.pyannote[210].end 787.51971875
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 791.56971875
transcript.pyannote[211].end 791.87346875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 792.53159375
transcript.pyannote[212].end 796.41284375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 796.81784375
transcript.pyannote[213].end 799.58534375
transcript.pyannote[214].speaker SPEAKER_01
transcript.pyannote[214].start 799.93971875
transcript.pyannote[214].end 800.02409375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 800.02409375
transcript.pyannote[215].end 800.90159375
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 800.90159375
transcript.pyannote[216].end 800.96909375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 800.96909375
transcript.pyannote[217].end 801.00284375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 801.00284375
transcript.pyannote[218].end 801.03659375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 801.08721875
transcript.pyannote[219].end 801.12096875
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 801.12096875
transcript.pyannote[220].end 801.17159375
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 801.17159375
transcript.pyannote[221].end 802.89284375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 804.58034375
transcript.pyannote[222].end 806.38596875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 806.90909375
transcript.pyannote[223].end 809.84534375
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 809.84534375
transcript.pyannote[224].end 809.96346875
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 809.96346875
transcript.pyannote[225].end 810.06471875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 810.06471875
transcript.pyannote[226].end 810.16596875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 810.16596875
transcript.pyannote[227].end 810.28409375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 810.53721875
transcript.pyannote[228].end 813.11909375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 812.98409375
transcript.pyannote[229].end 829.11659375
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 829.48784375
transcript.pyannote[230].end 837.65534375
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 837.99284375
transcript.pyannote[231].end 839.05596875
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 839.39346875
transcript.pyannote[232].end 840.37221875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 840.69284375
transcript.pyannote[233].end 841.13159375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 841.55346875
transcript.pyannote[234].end 842.19471875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 842.38034375
transcript.pyannote[235].end 843.19034375
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 843.81471875
transcript.pyannote[236].end 844.45596875
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 846.19409375
transcript.pyannote[237].end 847.39221875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 847.64534375
transcript.pyannote[238].end 848.89409375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 849.11346875
transcript.pyannote[239].end 852.28596875
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 853.51784375
transcript.pyannote[240].end 856.65659375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 857.04471875
transcript.pyannote[241].end 858.59721875
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 859.64346875
transcript.pyannote[242].end 864.53721875
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 864.67221875
transcript.pyannote[243].end 866.51159375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 866.73096875
transcript.pyannote[244].end 868.38471875
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 868.97534375
transcript.pyannote[245].end 871.55721875
transcript.pyannote[246].speaker SPEAKER_01
transcript.pyannote[246].start 871.96221875
transcript.pyannote[246].end 874.15596875
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 874.89846875
transcript.pyannote[247].end 877.61534375
transcript.pyannote[248].speaker SPEAKER_00
transcript.pyannote[248].start 875.96159375
transcript.pyannote[248].end 877.12596875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 879.04971875
transcript.pyannote[249].end 880.39971875
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 879.16784375
transcript.pyannote[250].end 880.11284375
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 881.34471875
transcript.pyannote[251].end 882.35721875
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 882.88034375
transcript.pyannote[252].end 889.47846875
transcript.pyannote[253].speaker SPEAKER_00
transcript.pyannote[253].start 887.23409375
transcript.pyannote[253].end 887.70659375
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 890.99721875
transcript.pyannote[254].end 891.99284375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 892.66784375
transcript.pyannote[255].end 897.86534375
transcript.pyannote[256].speaker SPEAKER_00
transcript.pyannote[256].start 895.41846875
transcript.pyannote[256].end 895.60409375
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 898.10159375
transcript.pyannote[257].end 901.49346875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 901.91534375
transcript.pyannote[258].end 910.16721875
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 903.01221875
transcript.pyannote[259].end 903.40034375
transcript.pyannote[260].speaker SPEAKER_00
transcript.pyannote[260].start 910.18409375
transcript.pyannote[260].end 910.96034375
transcript.pyannote[261].speaker SPEAKER_00
transcript.pyannote[261].start 911.31471875
transcript.pyannote[261].end 912.46221875
transcript.pyannote[262].speaker SPEAKER_00
transcript.pyannote[262].start 913.10346875
transcript.pyannote[262].end 914.14971875
transcript.pyannote[263].speaker SPEAKER_00
transcript.pyannote[263].start 914.77409375
transcript.pyannote[263].end 915.78659375
transcript.pyannote[264].speaker SPEAKER_00
transcript.pyannote[264].start 916.95096875
transcript.pyannote[264].end 920.93346875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 921.38909375
transcript.pyannote[265].end 921.65909375
transcript.pyannote[266].speaker SPEAKER_00
transcript.pyannote[266].start 921.65909375
transcript.pyannote[266].end 921.69284375
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 921.69284375
transcript.pyannote[267].end 921.81096875
transcript.pyannote[268].speaker SPEAKER_00
transcript.pyannote[268].start 921.81096875
transcript.pyannote[268].end 925.06784375
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 925.06784375
transcript.pyannote[269].end 925.48971875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 925.64159375
transcript.pyannote[270].end 928.93221875
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 929.01659375
transcript.pyannote[271].end 931.53096875
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 931.64909375
transcript.pyannote[272].end 932.81346875
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 933.96096875
transcript.pyannote[273].end 936.81284375
transcript.pyannote[274].speaker SPEAKER_00
transcript.pyannote[274].start 936.81284375
transcript.pyannote[274].end 942.38159375
transcript.pyannote[275].speaker SPEAKER_00
transcript.pyannote[275].start 943.59659375
transcript.pyannote[275].end 949.33409375
transcript.pyannote[276].speaker SPEAKER_00
transcript.pyannote[276].start 953.89034375
transcript.pyannote[276].end 954.63284375
transcript.pyannote[277].speaker SPEAKER_00
transcript.pyannote[277].start 955.37534375
transcript.pyannote[277].end 956.13471875
transcript.pyannote[278].speaker SPEAKER_00
transcript.pyannote[278].start 957.65346875
transcript.pyannote[278].end 959.02034375
transcript.pyannote[279].speaker SPEAKER_00
transcript.pyannote[279].start 960.74159375
transcript.pyannote[279].end 961.60221875
transcript.pyannote[280].speaker SPEAKER_00
transcript.pyannote[280].start 962.00721875
transcript.pyannote[280].end 962.81721875
transcript.pyannote[281].speaker SPEAKER_00
transcript.pyannote[281].start 963.49221875
transcript.pyannote[281].end 965.33159375
transcript.pyannote[282].speaker SPEAKER_00
transcript.pyannote[282].start 967.49159375
transcript.pyannote[282].end 968.31846875
transcript.pyannote[283].speaker SPEAKER_00
transcript.pyannote[283].start 968.67284375
transcript.pyannote[283].end 976.35096875
transcript.pyannote[284].speaker SPEAKER_00
transcript.pyannote[284].start 978.86534375
transcript.pyannote[284].end 980.82284375
transcript.pyannote[285].speaker SPEAKER_00
transcript.pyannote[285].start 981.86909375
transcript.pyannote[285].end 982.67909375
transcript.pyannote[286].speaker SPEAKER_00
transcript.pyannote[286].start 984.77159375
transcript.pyannote[286].end 985.78409375
transcript.pyannote[287].speaker SPEAKER_00
transcript.pyannote[287].start 987.13409375
transcript.pyannote[287].end 988.16346875
transcript.pyannote[288].speaker SPEAKER_00
transcript.pyannote[288].start 989.41221875
transcript.pyannote[288].end 990.67784375
transcript.pyannote[289].speaker SPEAKER_00
transcript.pyannote[289].start 991.03221875
transcript.pyannote[289].end 991.84221875
transcript.pyannote[290].speaker SPEAKER_00
transcript.pyannote[290].start 994.93034375
transcript.pyannote[290].end 996.51659375
transcript.pyannote[291].speaker SPEAKER_00
transcript.pyannote[291].start 996.98909375
transcript.pyannote[291].end 997.71471875
transcript.pyannote[292].speaker SPEAKER_00
transcript.pyannote[292].start 998.32221875
transcript.pyannote[292].end 999.06471875
transcript.pyannote[293].speaker SPEAKER_00
transcript.pyannote[293].start 999.62159375
transcript.pyannote[293].end 1001.00534375
transcript.pyannote[294].speaker SPEAKER_00
transcript.pyannote[294].start 1001.17409375
transcript.pyannote[294].end 1003.13159375
transcript.pyannote[295].speaker SPEAKER_00
transcript.pyannote[295].start 1004.48159375
transcript.pyannote[295].end 1005.02159375
transcript.pyannote[296].speaker SPEAKER_00
transcript.pyannote[296].start 1008.90284375
transcript.pyannote[296].end 1010.99534375
transcript.pyannote[297].speaker SPEAKER_00
transcript.pyannote[297].start 1011.18096875
transcript.pyannote[297].end 1012.14284375
transcript.pyannote[298].speaker SPEAKER_00
transcript.pyannote[298].start 1012.81784375
transcript.pyannote[298].end 1013.45909375
transcript.pyannote[299].speaker SPEAKER_00
transcript.pyannote[299].start 1013.88096875
transcript.pyannote[299].end 1014.64034375
transcript.pyannote[300].speaker SPEAKER_00
transcript.pyannote[300].start 1015.07909375
transcript.pyannote[300].end 1016.31096875
transcript.pyannote[301].speaker SPEAKER_00
transcript.pyannote[301].start 1016.71596875
transcript.pyannote[301].end 1018.13346875
transcript.pyannote[302].speaker SPEAKER_00
transcript.pyannote[302].start 1018.36971875
transcript.pyannote[302].end 1020.20909375
transcript.pyannote[303].speaker SPEAKER_00
transcript.pyannote[303].start 1020.47909375
transcript.pyannote[303].end 1021.13721875
transcript.pyannote[304].speaker SPEAKER_00
transcript.pyannote[304].start 1022.01471875
transcript.pyannote[304].end 1022.72346875
transcript.pyannote[305].speaker SPEAKER_00
transcript.pyannote[305].start 1023.49971875
transcript.pyannote[305].end 1024.54596875
transcript.pyannote[306].speaker SPEAKER_00
transcript.pyannote[306].start 1028.81534375
transcript.pyannote[306].end 1029.76034375
transcript.pyannote[307].speaker SPEAKER_00
transcript.pyannote[307].start 1037.18534375
transcript.pyannote[307].end 1038.18096875
transcript.pyannote[308].speaker SPEAKER_00
transcript.pyannote[308].start 1038.55221875
transcript.pyannote[308].end 1040.93159375
transcript.pyannote[309].speaker SPEAKER_00
transcript.pyannote[309].start 1041.10034375
transcript.pyannote[309].end 1045.92659375
transcript.pyannote[310].speaker SPEAKER_00
transcript.pyannote[310].start 1046.38221875
transcript.pyannote[310].end 1048.86284375
transcript.pyannote[311].speaker SPEAKER_00
transcript.pyannote[311].start 1049.77409375
transcript.pyannote[311].end 1055.37659375
transcript.pyannote[312].speaker SPEAKER_00
transcript.pyannote[312].start 1057.13159375
transcript.pyannote[312].end 1058.14409375
transcript.pyannote[313].speaker SPEAKER_00
transcript.pyannote[313].start 1059.24096875
transcript.pyannote[313].end 1061.21534375
transcript.pyannote[314].speaker SPEAKER_00
transcript.pyannote[314].start 1062.05909375
transcript.pyannote[314].end 1063.98284375
transcript.pyannote[315].speaker SPEAKER_00
transcript.pyannote[315].start 1066.15971875
transcript.pyannote[315].end 1067.99909375
transcript.pyannote[316].speaker SPEAKER_00
transcript.pyannote[316].start 1068.77534375
transcript.pyannote[316].end 1070.07471875
transcript.pyannote[317].speaker SPEAKER_00
transcript.pyannote[317].start 1070.47971875
transcript.pyannote[317].end 1072.42034375
transcript.pyannote[318].speaker SPEAKER_00
transcript.pyannote[318].start 1072.80846875
transcript.pyannote[318].end 1078.88346875
transcript.pyannote[319].speaker SPEAKER_00
transcript.pyannote[319].start 1079.60909375
transcript.pyannote[319].end 1083.01784375
transcript.pyannote[320].speaker SPEAKER_00
transcript.pyannote[320].start 1084.70534375
transcript.pyannote[320].end 1087.03409375
transcript.pyannote[321].speaker SPEAKER_00
transcript.pyannote[321].start 1087.20284375
transcript.pyannote[321].end 1090.40909375
transcript.pyannote[322].speaker SPEAKER_00
transcript.pyannote[322].start 1092.51846875
transcript.pyannote[322].end 1093.36221875
transcript.pyannote[323].speaker SPEAKER_00
transcript.pyannote[323].start 1094.47596875
transcript.pyannote[323].end 1095.60659375
transcript.pyannote[324].speaker SPEAKER_00
transcript.pyannote[324].start 1095.65721875
transcript.pyannote[324].end 1114.79346875
transcript.pyannote[325].speaker SPEAKER_00
transcript.pyannote[325].start 1115.02971875
transcript.pyannote[325].end 1116.97034375
transcript.pyannote[326].speaker SPEAKER_00
transcript.pyannote[326].start 1118.89409375
transcript.pyannote[326].end 1120.81784375
transcript.pyannote[327].speaker SPEAKER_00
transcript.pyannote[327].start 1121.05409375
transcript.pyannote[327].end 1124.69909375
transcript.pyannote[328].speaker SPEAKER_00
transcript.pyannote[328].start 1126.48784375
transcript.pyannote[328].end 1128.61409375
transcript.pyannote[329].speaker SPEAKER_00
transcript.pyannote[329].start 1129.77846875
transcript.pyannote[329].end 1130.50409375
transcript.pyannote[330].speaker SPEAKER_00
transcript.pyannote[330].start 1130.95971875
transcript.pyannote[330].end 1132.95096875
transcript.pyannote[331].speaker SPEAKER_00
transcript.pyannote[331].start 1133.42346875
transcript.pyannote[331].end 1135.63409375
transcript.pyannote[332].speaker SPEAKER_00
transcript.pyannote[332].start 1136.69721875
transcript.pyannote[332].end 1138.06409375
transcript.pyannote[333].speaker SPEAKER_00
transcript.pyannote[333].start 1138.28346875
transcript.pyannote[333].end 1139.49846875
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 1140.29159375
transcript.pyannote[334].end 1140.83159375
transcript.pyannote[335].speaker SPEAKER_00
transcript.pyannote[335].start 1142.04659375
transcript.pyannote[335].end 1142.70471875
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 1145.67471875
transcript.pyannote[336].end 1146.90659375
transcript.pyannote[337].speaker SPEAKER_00
transcript.pyannote[337].start 1147.68284375
transcript.pyannote[337].end 1150.92284375
transcript.pyannote[338].speaker SPEAKER_00
transcript.pyannote[338].start 1151.64846875
transcript.pyannote[338].end 1152.84659375
transcript.pyannote[339].speaker SPEAKER_00
transcript.pyannote[339].start 1154.24721875
transcript.pyannote[339].end 1156.37346875
transcript.pyannote[340].speaker SPEAKER_00
transcript.pyannote[340].start 1156.87971875
transcript.pyannote[340].end 1158.55034375
transcript.pyannote[341].speaker SPEAKER_00
transcript.pyannote[341].start 1160.17034375
transcript.pyannote[341].end 1162.54971875
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 1163.22471875
transcript.pyannote[342].end 1166.73471875
transcript.pyannote[343].speaker SPEAKER_01
transcript.pyannote[343].start 1164.20346875
transcript.pyannote[343].end 1164.59159375
transcript.pyannote[344].speaker SPEAKER_01
transcript.pyannote[344].start 1164.60846875
transcript.pyannote[344].end 1164.62534375
transcript.pyannote[345].speaker SPEAKER_00
transcript.pyannote[345].start 1167.35909375
transcript.pyannote[345].end 1170.97034375
transcript.whisperx[0].start 5.257
transcript.whisperx[0].end 24.478
transcript.whisperx[0].text 好 謝謝主席我邀請食安辦許主任還有江署長食安辦許主任 部長你那一位我希望跟主任跟署長對話也請部長聽看看部長因為我們在修食安法的時候那個時候你應該是144的司長100年的時候 你說
transcript.whisperx[1].start 27.12
transcript.whisperx[1].end 52.07
transcript.whisperx[1].text 應該主任跟江署長都應該都會有這樣的印象不過當時你們都還沒有來啦從100年的時候什麼地溝油啦毒奶粉啦然後工業用的其中還有一個是工業用的某某什麼樣的一個原料他基本上也流用到很大的食品廠裡面去做他的添加物這個所以從100年的時候一直修修修修了修了將近
transcript.whisperx[2].start 54.171
transcript.whisperx[2].end 70.702
transcript.whisperx[2].text 應該是七次到八次就是要讓這個食安法更正完備也建立起台灣消費者對政府的信心除此之外還有所有的這些業者的有所遵循不要再有這樣的一個這麼大的一個食安危機來產生
transcript.whisperx[3].start 72.663
transcript.whisperx[3].end 88.103
transcript.whisperx[3].text 所以今天才會特別來辦這樣的一個 召開這樣的一個專案報告我要接續剛剛王子旭委員的槌尋還有廖偉祥召委的槌尋剛剛主任是回答他一個月時間你說這一個月 如果再給你一個月時間
transcript.whisperx[4].start 90.064
transcript.whisperx[4].end 104.489
transcript.whisperx[4].text 三華可能又要再重來大修了然後如果剛剛聽到部長針對蘇清泉召委那個臨時提案部長跟那個江署長的回應目前我們已經有封信的是
transcript.whisperx[5].start 105.449
transcript.whisperx[5].end 128.866
transcript.whisperx[5].text 剛剛署長講是好像兩萬多噸嘛後來部長趕快把麥克風搶起來說是一千兩百多公斤嘛然後從這家不銷廠家已經分送到應該是屬於中下游的這個廠家基本上應該有扣兩千多公斤起來嘛對不對但是已經出去的七八百公斤左右嘛這說實在正確嘛
transcript.whisperx[6].start 130.387
transcript.whisperx[6].end 157.367
transcript.whisperx[6].text 但是我會很驚訝因為署長就坐在部長旁邊為什麼你們兩個講的數據天狼地瘪今天是專案報告 今天是專案報告署長 今天是專案報告你們的專案報告裡面兩份基本上很多的數據該去凸顯出來通通沒有你們自己回去看你們的專案報告是非常非常我實在不願意講這些話了是已經藐視到未還委員會所有的委員也藐視台灣的消費者
transcript.whisperx[7].start 160.057
transcript.whisperx[7].end 184.138
transcript.whisperx[7].text 剛剛林委員講那些話我覺得坦白講你如果還不覺得那是一個非常重的話其實對江署長來講是一個很大的挑戰跟諷刺了因為我們都看好江署長就任之後應該對整個不管是食品不管是藥物會有很多的革新的這樣的積極的作為那怎麼會在你任內發生這麼嚴重的事情
transcript.whisperx[8].start 184.929
transcript.whisperx[8].end 211.766
transcript.whisperx[8].text 他已經用到怠惰 獨持內神通外鬼還是外神通內鬼各位剛剛都有在場嘛 都有聽到這些話那你們怎麼還會在臨時提案的時候會把數據又講錯如果要再追下去這些數據是這些而已嗎我再簡單講啦我實在是很想再聽徐主任講說這個事情怎麼會發生
transcript.whisperx[9].start 213.444
transcript.whisperx[9].end 236.274
transcript.whisperx[9].text 怎麼可能這樣發生怎麼發生完之後的處理的整個SOP是這個樣子到今天在委員會對所有委員做出的報告又是這個樣子連剛剛你們打呼王委員的那一個內容你們就這樣講的過去我要簡單講 當時因為很多的面向
transcript.whisperx[10].start 239.454
transcript.whisperx[10].end 260.508
transcript.whisperx[10].text 所以才會在這個委員會一直修一直修一直修有一個法律修得好像跟交通處罰條例一模一樣修不完耶 修不停修到最後大家覺得台灣的食安已經往前邁進一大步
transcript.whisperx[11].start 261.684
transcript.whisperx[11].end 284.476
transcript.whisperx[11].text 那今天回過稻草發生這件事情 六月初被檢舉到十月才有這樣的動作然後你們剛剛答覆的是要會同保七總隊你跟我講在剛剛部長答覆委員的相關的問題這五年就好 總共有告發三百五十幾件
transcript.whisperx[12].start 285.672
transcript.whisperx[12].end 310.331
transcript.whisperx[12].text 總共金額花了兩千多萬 對不對好 這五年 這五年花了兩千多萬三百多件跟這一件雷同的 跟這件的樣態差不多的有需要收到檢舉六月 然後才十月初擴大檢警調 好 然後相關單位去做處理嘛
transcript.whisperx[13].start 312.13
transcript.whisperx[13].end 326.961
transcript.whisperx[13].text 我隨便都可以列舉 等一下我的資料裡面就會顯示出來有拖這麼久嗎有需要這麼做嗎有需要這個是你們原有的SOP啊還是換了江書長之後SOP改了
transcript.whisperx[14].start 331.075
transcript.whisperx[14].end 358.312
transcript.whisperx[14].text 所以我希望在委員會你們就很坦誠的很實際的把狀況講清楚了這個事情怎麼可能還有讓你一個月的時間去做什麼樣的調整跟修正部長 新官三任三把火你該立位就該要立位了因為畢竟你也當過衛福部的次長所以你去履歷一下這整個過程
transcript.whisperx[15].start 359.758
transcript.whisperx[15].end 382.226
transcript.whisperx[15].text 真的問題大到很難想像啊我再簡單提醒兩件事情這家公司啊 這家公司營業項目一大堆這家公司我們一樣算五年就好他用的工業用的 淨的工業用的這雙氧水 他淨了多少量他不是關注的化學物質
transcript.whisperx[16].start 383.496
transcript.whisperx[16].end 407.672
transcript.whisperx[16].text 但是他的這個化學物質一直流向這家公司這家公司零零總總登記的多數都是在做茶葉 煙酒 食品 農產 畜產 水產其他農畜產品還有飼料 還有食品實貨 飲料 零售業還有太多 太多通通跟食品有關係
transcript.whisperx[17].start 409.114
transcript.whisperx[17].end 434.974
transcript.whisperx[17].text 這五年這家公司這家公司進了多少公寓用的這雙重水我們的政府不管是環境部的毒化署 化學署現在改為化學署我們的衛護部的FDA通通不知道通通沒有掌握還需要經過人家檢舉之後
transcript.whisperx[18].start 437.182
transcript.whisperx[18].end 465.843
transcript.whisperx[18].text 然後現在說要一個月時間來做相關的調整還是處理還是怎麼樣這個你們說得過去你知道剛剛說查扣封存的查扣的這些這些是你們現在有扣的那再往前推還有其他廠家像這樣類似的大廠用在什麼樣的用在什麼樣的食物上
transcript.whisperx[19].start 469.212
transcript.whisperx[19].end 496.955
transcript.whisperx[19].text 主任你知道吧不是只有台灣的特色小吃叫做大腸麵線他用了幾項我們每天台灣的國人幾乎通通要吃到大腸麵線不一定大家每天都會吃嘛那早餐有一個叫做什麼大腸豬尾湯 吃得到嗎 會嘛那火鍋店的主要食材大腸是不是很重要的 對 好
transcript.whisperx[20].start 497.984
transcript.whisperx[20].end 514.909
transcript.whisperx[20].text 然後咧 還有什麼你可以講 大家講給我聽聽幾項時間到了這麼快對啊 滷味啊 麻辣啊 燒烤啊各種的其實炸肥腸啊 薑絲炒大腸啊肥腸茄堡啊我剛剛在底下就寫了11項就寫了11項不只啦 還有還有
transcript.whisperx[21].start 527.967
transcript.whisperx[21].end 547.476
transcript.whisperx[21].text 我們每天到底這一家被你們查獲的被檢舉被你們查獲的這個廠家百威流入到這些店面餐廳火鍋店小吃店串燒店每天到底多少量查獲之前這五年我們就抓這五年就好了所以
transcript.whisperx[22].start 555.818
transcript.whisperx[22].end 580.348
transcript.whisperx[22].text 主席給我一點時間讓主任講清楚好不好好那個跟委員報告委員一開始從食安法的修法開始那事實上這個是一個它是一個非法行為就是說我們如果從正規的業者應該用食品
transcript.whisperx[23].start 581.144
transcript.whisperx[23].end 600.962
transcript.whisperx[23].text 及的食品添加物的雙氧水來做的時候是在我們的納管之中在這個案子裡面大概我們看到有幾個盲點就是說我們先前沒有注意到主任我希望你不要用盲點兩個字好不好
transcript.whisperx[24].start 601.562
transcript.whisperx[24].end 627.178
transcript.whisperx[24].text 你應該直接了當講說這個哪一個環節是不應該會這樣發生的我希望我們就直接坦承了好不好謝謝對 其實從今天上午到現在有相當多討論第一個就是它在這個畜牧之後到食品的銜接的權責然後它業別一樣是很特別然後第二個它既然有食品
transcript.whisperx[25].start 629.059
transcript.whisperx[25].end 655.554
transcript.whisperx[25].text 這個從事食品加工的行為然後他沒有去食品業者去登錄然後我們在原有的這樣的他為什麼他為什麼他為什麼沒有去登錄因為他為什麼到這事情發生之後才知道他沒有去登錄對這個這家公司開多久了你們掌握他這家公司開多久了上午的商登大概是一二十年的百威他五百萬的那個
transcript.whisperx[26].start 657.827
transcript.whisperx[26].end 682.622
transcript.whisperx[26].text 資本額 對然後那我們初步的了解是他認為他是屬農方在管理在那個屠宰場裡面所以屠宰場就是農方但事實上他的業他的從業的行為是在跟食品就等於分分切處理那一塊了所以我們其實就會對這一塊在介於農方跟衛方間的兩邊都
transcript.whisperx[27].start 685.091
transcript.whisperx[27].end 704.768
transcript.whisperx[27].text 會未來共同去管理那至於剛剛先不要講未來我們先講說這家公司我這邊寫的是核准設立的日期是102年最後核准變更日期是113年就是這樣的數據應該不會 trauma 對不對不管怎樣他就是一個叫做他的名稱叫做百威食品
transcript.whisperx[28].start 705.709
transcript.whisperx[28].end 722.683
transcript.whisperx[28].text 有限公司對那我們一樣追五年嘛這五年他到底他到底進了多少的這個工業用的這個雙氧水嘛為什麼這件事情他是食品公司啊他進了這麼多的工業用的雙氧水
transcript.whisperx[29].start 724.517
transcript.whisperx[29].end 752.448
transcript.whisperx[29].text 你們剛剛還在講說雙空水有分食用跟工業用他就是禁工業用啊工業用的在現在的狀況是沒有納入環境部的這個關注化學所以我們現在第一步就要把他這個請環境部納到他的這個關注化學他沒有納入到關注的化學物質的情況之下他是又是一家食品有限公司他這五年到底進了多少工業用的
transcript.whisperx[30].start 753.608
transcript.whisperx[30].end 775.068
transcript.whisperx[30].text 這個雙氧水怎麼你們通通不知道食安五環是這樣嗎食安五環是一定要關注的化學物質你們才有辦法勾結的到嗎是這樣嗎你真的要很慎重很專業的回答我的問題喔我剛剛在主席台我就已經提醒你們今天為什麼要辦這個專案報告
transcript.whisperx[31].start 778.024
transcript.whisperx[31].end 802.68
transcript.whisperx[31].text 我們如果不清楚 我不會這樣講啦我希望我們把事情就講清楚因為已經有人講說你們瀆職了啊你們內省通外鬼 外鬼通內省我是不想再講這些話那個現行的情況確實我們沒有掌握這個怎麼會沒有掌握怎麼會有這樣的落實沒有掌握到
transcript.whisperx[32].start 804.622
transcript.whisperx[32].end 828.764
transcript.whisperx[32].text 因為只有關注化學物質才要去化學雲申報是然後因為他並沒有列進去所以一家食品有限公司他只要他進的都不是關注的化學物質他這五年進了已經完全不合乎常理的情況之下來供應這個食品加工廠他自己本身的廠廠去做
transcript.whisperx[33].start 829.628
transcript.whisperx[33].end 857.988
transcript.whisperx[33].text 什麼樣的情況去調配或是加入或是添加我們通通管不到只因為它不叫做關注的化學物質所以我們食安辦我們FDA我們環境部通通管不到是這樣嗎我們當時修法有辦法修到讓你可以今天來對委會講說這就是盲點這就是修法上的遺漏之處你現在要答呼我是這樣嗎
transcript.whisperx[34].start 859.69
transcript.whisperx[34].end 888.982
transcript.whisperx[34].text 你對過去的100年那第8屆第9屆的委員你要講說你們修法就是很兩光啊今天才會發生這樣的事情啊他根本不能夠用那如果他進了這一類的這一個非實天的第8屆說楊耀文已經來了喔他有參與修法那個他要說明他是怎麼樣的用途是在洗地板的或者是環境用途特別的用途要跟誰說明
transcript.whisperx[35].start 891.018
transcript.whisperx[35].end 915.427
transcript.whisperx[35].text 他自己就要寫記錄然後跟集合的時候就要可以解釋出來一般的時候會有地方的這個衛生局然後那定期如果排專案的時候會有這個跨單位的去聯機所以地方政府有問題還是你不好意思說
transcript.whisperx[36].start 917.071
transcript.whisperx[36].end 941.977
transcript.whisperx[36].text 還是地方政府跟FDA南區的都有問題你也不好意思說你是食安辦的主任你有什麼好不好意思說的因為實際狀況因為他沒有登錄所以很可能會在名單之外所以這個得要緊迫的要把這個洞補上我實在因為這個講下去時間用很多啦後面還有兩個位委員
transcript.whisperx[37].start 944.53
transcript.whisperx[37].end 964.883
transcript.whisperx[37].text 昨天你剛答覆我第一句話 我覺得食安辦已經不見了我已經把結論寫出來了環境部不管 衛福部不吃然後就創造台灣成千上萬個無辜的消費者因為每天都要吃這些東西
transcript.whisperx[38].start 967.523
transcript.whisperx[38].end 991.519
transcript.whisperx[38].text 最後我再講部長可能底下提供給你訊息的你要用可能要小心一點過去5年355件花了2500多萬然後這一件花了5400萬要給他破產我覺得這件事情這個業者還沒有破產我們的食安班跟食藥署就已經破產了
transcript.whisperx[39].start 994.98
transcript.whisperx[39].end 1022.677
transcript.whisperx[39].text 你要跟我講說這一件是故意的 所以就重罰5400萬355件 花了2500多萬 通通不是故意的是這樣嗎2500多萬除以355件 平均一件7萬你這一件叫做故意的所以就是你平均裁罰在五年委婉食品相關的法律的這些業者高於幾倍呢 770倍了
transcript.whisperx[40].start 1028.854
transcript.whisperx[40].end 1057.83
transcript.whisperx[40].text 你們覺得在過嗎所以我再問下去再提醒剛剛主任才講到第一個環節而已喔後面還有很多這邊都留下一些歷史紀錄不管是FDA不管是地方政府不管是新北台北台南高雄等等等只要稽查
transcript.whisperx[41].start 1059.561
transcript.whisperx[41].end 1082.611
transcript.whisperx[41].text 稽查相關視頻過期啊你們就雷力風行到什麼程度了這些事情一個大腸每天台灣消費者在很多面向都必須要實用到你們可以6月被接受檢舉之後拖到10月你才大張旗鼓的有減掉 減減掉大大大七個單位六七個單位
transcript.whisperx[42].start 1084.781
transcript.whisperx[42].end 1103.532
transcript.whisperx[42].text 去做 去做 去做稽查然後才 才 才封存的一千兩百多公斤而已三個多月從六月被檢舉我們都不要再抓了我們從六月開始你們受以檢舉那個時候這家公司又製造的 又
transcript.whisperx[43].start 1104.293
transcript.whisperx[43].end 1128.11
transcript.whisperx[43].text 又加入了公用的雙氧水每天多少量每天出到什麼地方去總共一直到被你們封存之後這組組將近一百多天請把數據公布給大家知道請把數據公布給大家知道然後相關的人員必須要負起什麼樣的責任要不要連跟你們一起去的減掉
transcript.whisperx[44].start 1130.03
transcript.whisperx[44].end 1158.375
transcript.whisperx[44].text 檢察官一併辦這裡面到底涉及多少的隱匿不報涉及多少的工人該作為而不作為就獨持要不要一併辦請這個禮拜請這個禮拜把相關的一些調查報告是不是給未還委員會我禮拜四還是可以變更議程不可能等到你們一個月
transcript.whisperx[45].start 1160.402
transcript.whisperx[45].end 1168.196
transcript.whisperx[45].text 請主任 署長 還有部長來正視這個事情是好 謝謝主席 謝謝謝謝劉建國稍微的發言謝謝