iVOD / 164619

Field Value
IVOD_ID 164619
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164619
日期 2025-10-22
會議資料.會議代碼 委員會-11-4-19-6
會議資料.會議代碼:str 第11屆第4會期經濟委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第4會期經濟委員會第6次全體委員會議
影片種類 Clip
開始時間 2025-10-22T12:50:49+08:00
結束時間 2025-10-22T12:58:29+08:00
影片長度 00:07:40
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/615807a88c5be4daf8674144490ed824e072f7c27276b8ae2d78011594ec57576291a528d6f74df75ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 謝龍介
委員發言時間 12:50:49 - 12:58:29
會議時間 2025-10-22T09:00:00+08:00
會議名稱 立法院第11屆第4會期經濟委員會第6次全體委員會議(事由:邀請經濟部部長列席報告業務概況,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 14.57721875
transcript.pyannote[0].end 14.98221875
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 18.50909375
transcript.pyannote[1].end 20.28096875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 20.46659375
transcript.pyannote[2].end 21.20909375
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 28.04346875
transcript.pyannote[3].end 28.70159375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 28.92096875
transcript.pyannote[4].end 29.96721875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 30.25409375
transcript.pyannote[5].end 32.00909375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 32.76846875
transcript.pyannote[6].end 33.76409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 34.45596875
transcript.pyannote[7].end 35.78909375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 36.49784375
transcript.pyannote[8].end 36.88596875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 37.17284375
transcript.pyannote[9].end 37.78034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 38.42159375
transcript.pyannote[10].end 39.09659375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 39.28221875
transcript.pyannote[11].end 40.14284375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 39.68721875
transcript.pyannote[12].end 40.29471875
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 40.58159375
transcript.pyannote[13].end 41.02034375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 41.20596875
transcript.pyannote[14].end 42.91034375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 43.99034375
transcript.pyannote[15].end 44.02409375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 44.17596875
transcript.pyannote[16].end 45.94784375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 45.94784375
transcript.pyannote[17].end 45.96471875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 45.96471875
transcript.pyannote[18].end 46.03221875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 46.08284375
transcript.pyannote[19].end 46.47096875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 47.50034375
transcript.pyannote[20].end 47.68596875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 47.77034375
transcript.pyannote[21].end 50.80784375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 50.63909375
transcript.pyannote[22].end 56.03909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 56.03909375
transcript.pyannote[23].end 56.29221875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 56.29221875
transcript.pyannote[24].end 56.61284375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 58.16534375
transcript.pyannote[25].end 61.06784375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 61.74284375
transcript.pyannote[26].end 64.00409375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 64.88159375
transcript.pyannote[27].end 65.18534375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 65.38784375
transcript.pyannote[28].end 67.24409375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 67.24409375
transcript.pyannote[29].end 67.76721875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 67.83471875
transcript.pyannote[30].end 69.62346875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 70.29846875
transcript.pyannote[31].end 74.09534375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 74.63534375
transcript.pyannote[32].end 75.09096875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 75.61409375
transcript.pyannote[33].end 81.67221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 81.84096875
transcript.pyannote[34].end 83.07284375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 83.76471875
transcript.pyannote[35].end 84.23721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 84.37221875
transcript.pyannote[36].end 88.21971875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 88.70909375
transcript.pyannote[37].end 90.09284375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 90.64971875
transcript.pyannote[38].end 93.43409375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 93.95721875
transcript.pyannote[39].end 96.21846875
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 96.85971875
transcript.pyannote[40].end 98.29409375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 96.91034375
transcript.pyannote[41].end 97.80471875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 98.61471875
transcript.pyannote[42].end 99.93096875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 100.62284375
transcript.pyannote[43].end 102.22596875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 102.64784375
transcript.pyannote[44].end 104.35221875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 104.89221875
transcript.pyannote[45].end 106.54596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 107.60909375
transcript.pyannote[46].end 109.58346875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 110.96721875
transcript.pyannote[47].end 113.61659375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 114.32534375
transcript.pyannote[48].end 116.87346875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 117.98721875
transcript.pyannote[49].end 121.00784375
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 121.17659375
transcript.pyannote[50].end 121.61534375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 121.61534375
transcript.pyannote[51].end 123.79221875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 123.79221875
transcript.pyannote[52].end 124.16346875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 124.16346875
transcript.pyannote[53].end 124.33221875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 124.33221875
transcript.pyannote[54].end 124.61909375
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 124.61909375
transcript.pyannote[55].end 124.77096875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 124.83846875
transcript.pyannote[56].end 135.57096875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 140.53221875
transcript.pyannote[57].end 141.27471875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 142.00034375
transcript.pyannote[58].end 144.09284375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 145.94909375
transcript.pyannote[59].end 150.84284375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 150.84284375
transcript.pyannote[60].end 150.85971875
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 152.00721875
transcript.pyannote[61].end 152.02409375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 152.02409375
transcript.pyannote[62].end 152.44596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 153.30659375
transcript.pyannote[63].end 155.71971875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 157.67721875
transcript.pyannote[64].end 164.61284375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 165.18659375
transcript.pyannote[65].end 165.76034375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 165.28784375
transcript.pyannote[66].end 167.88659375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 165.96284375
transcript.pyannote[67].end 169.43909375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 170.65409375
transcript.pyannote[68].end 175.66596875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 176.40846875
transcript.pyannote[69].end 178.23096875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 179.51346875
transcript.pyannote[70].end 182.39909375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 183.27659375
transcript.pyannote[71].end 185.55471875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 185.79096875
transcript.pyannote[72].end 187.32659375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 188.59221875
transcript.pyannote[73].end 190.33034375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 190.65096875
transcript.pyannote[74].end 191.51159375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 191.62971875
transcript.pyannote[75].end 193.35096875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 194.16096875
transcript.pyannote[76].end 195.93284375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 196.69221875
transcript.pyannote[77].end 200.64096875
transcript.pyannote[78].speaker SPEAKER_02
transcript.pyannote[78].start 201.97409375
transcript.pyannote[78].end 206.29409375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 205.46721875
transcript.pyannote[79].end 206.26034375
transcript.pyannote[80].speaker SPEAKER_01
transcript.pyannote[80].start 206.29409375
transcript.pyannote[80].end 206.64846875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 206.64846875
transcript.pyannote[81].end 206.73284375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 206.73284375
transcript.pyannote[82].end 207.08721875
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 207.91409375
transcript.pyannote[83].end 209.82096875
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 209.88846875
transcript.pyannote[84].end 210.95159375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 212.33534375
transcript.pyannote[85].end 212.92596875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 213.39846875
transcript.pyannote[86].end 215.72721875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 217.09409375
transcript.pyannote[87].end 220.41846875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 220.55346875
transcript.pyannote[88].end 221.43096875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 222.20721875
transcript.pyannote[89].end 222.94971875
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 224.11409375
transcript.pyannote[90].end 225.29534375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 224.21534375
transcript.pyannote[91].end 224.67096875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 225.51471875
transcript.pyannote[92].end 226.25721875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 226.25721875
transcript.pyannote[93].end 228.95721875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 229.78409375
transcript.pyannote[94].end 231.21846875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 230.40846875
transcript.pyannote[95].end 231.15096875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 231.96096875
transcript.pyannote[96].end 234.47534375
transcript.pyannote[97].speaker SPEAKER_02
transcript.pyannote[97].start 232.73721875
transcript.pyannote[97].end 233.37846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 235.18409375
transcript.pyannote[98].end 236.21346875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 236.98971875
transcript.pyannote[99].end 238.99784375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 239.84159375
transcript.pyannote[100].end 242.42346875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 241.91721875
transcript.pyannote[101].end 242.94659375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 242.94659375
transcript.pyannote[102].end 246.27096875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 247.58721875
transcript.pyannote[103].end 248.68409375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 249.49409375
transcript.pyannote[104].end 250.59096875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 251.13096875
transcript.pyannote[105].end 251.48534375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 251.78909375
transcript.pyannote[106].end 252.34596875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 253.13909375
transcript.pyannote[107].end 254.05034375
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 254.30346875
transcript.pyannote[108].end 254.94471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 255.34971875
transcript.pyannote[109].end 256.75034375
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 257.35784375
transcript.pyannote[110].end 258.21846875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 259.04534375
transcript.pyannote[111].end 259.78784375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 260.49659375
transcript.pyannote[112].end 263.24721875
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 260.51346875
transcript.pyannote[113].end 260.64846875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 263.66909375
transcript.pyannote[114].end 266.79096875
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 267.17909375
transcript.pyannote[115].end 268.39409375
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 268.39409375
transcript.pyannote[116].end 268.54596875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 268.69784375
transcript.pyannote[117].end 269.08596875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 269.30534375
transcript.pyannote[118].end 269.59221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 269.92971875
transcript.pyannote[119].end 270.43596875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 271.27971875
transcript.pyannote[120].end 273.64221875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 274.08096875
transcript.pyannote[121].end 278.92409375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 279.39659375
transcript.pyannote[122].end 280.98284375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 280.20659375
transcript.pyannote[123].end 282.02909375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 282.02909375
transcript.pyannote[124].end 284.03721875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 284.03721875
transcript.pyannote[125].end 287.54721875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 287.88471875
transcript.pyannote[126].end 289.94346875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 290.12909375
transcript.pyannote[127].end 290.51721875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 290.87159375
transcript.pyannote[128].end 291.42846875
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 292.39034375
transcript.pyannote[129].end 294.87096875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 295.29284375
transcript.pyannote[130].end 307.17284375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 307.49346875
transcript.pyannote[131].end 309.13034375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 309.48471875
transcript.pyannote[132].end 311.20596875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 312.35346875
transcript.pyannote[133].end 313.66971875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 314.39534375
transcript.pyannote[134].end 315.28971875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 316.82534375
transcript.pyannote[135].end 317.71971875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 318.49596875
transcript.pyannote[136].end 319.33971875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 320.23409375
transcript.pyannote[137].end 320.75721875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 321.63471875
transcript.pyannote[138].end 323.57534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 324.03096875
transcript.pyannote[139].end 325.06034375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 325.58346875
transcript.pyannote[140].end 327.62534375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 327.82784375
transcript.pyannote[141].end 328.57034375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 329.36346875
transcript.pyannote[142].end 329.98784375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 329.44784375
transcript.pyannote[143].end 329.95409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 329.98784375
transcript.pyannote[144].end 330.03846875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 330.03846875
transcript.pyannote[145].end 332.58659375
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 330.69659375
transcript.pyannote[146].end 331.60784375
transcript.pyannote[147].speaker SPEAKER_01
transcript.pyannote[147].start 332.73846875
transcript.pyannote[147].end 334.57784375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 335.15159375
transcript.pyannote[148].end 336.61971875
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 337.05846875
transcript.pyannote[149].end 339.92721875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 340.29846875
transcript.pyannote[150].end 342.17159375
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 343.45409375
transcript.pyannote[151].end 344.31471875
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 344.90534375
transcript.pyannote[152].end 345.27659375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 345.74909375
transcript.pyannote[153].end 346.66034375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 347.48721875
transcript.pyannote[154].end 353.78159375
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 353.24159375
transcript.pyannote[155].end 354.03471875
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 354.49034375
transcript.pyannote[156].end 357.10596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 357.91596875
transcript.pyannote[157].end 368.76659375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 369.34034375
transcript.pyannote[158].end 374.63909375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 374.89221875
transcript.pyannote[159].end 374.97659375
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 374.97659375
transcript.pyannote[160].end 375.01034375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 375.01034375
transcript.pyannote[161].end 375.02721875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 375.02721875
transcript.pyannote[162].end 381.00096875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 377.64284375
transcript.pyannote[163].end 378.31784375
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 381.32159375
transcript.pyannote[164].end 382.51971875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 381.57471875
transcript.pyannote[165].end 383.54909375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 383.81909375
transcript.pyannote[166].end 385.60784375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 385.79346875
transcript.pyannote[167].end 385.81034375
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 385.81034375
transcript.pyannote[168].end 386.80596875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 386.45159375
transcript.pyannote[169].end 391.42971875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 392.32409375
transcript.pyannote[170].end 393.80909375
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 394.60221875
transcript.pyannote[171].end 395.14221875
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 394.83846875
transcript.pyannote[172].end 395.09159375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 395.14221875
transcript.pyannote[173].end 397.03221875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 397.35284375
transcript.pyannote[174].end 398.28096875
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 398.90534375
transcript.pyannote[175].end 403.14096875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 403.14096875
transcript.pyannote[176].end 403.22534375
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 403.25909375
transcript.pyannote[177].end 403.34346875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 403.34346875
transcript.pyannote[178].end 405.18284375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 405.18284375
transcript.pyannote[179].end 405.63846875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 405.52034375
transcript.pyannote[180].end 407.20784375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 407.20784375
transcript.pyannote[181].end 407.68034375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 407.68034375
transcript.pyannote[182].end 408.18659375
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 408.45659375
transcript.pyannote[183].end 410.27909375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 410.27909375
transcript.pyannote[184].end 410.48159375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 410.76846875
transcript.pyannote[185].end 411.81471875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 412.42221875
transcript.pyannote[186].end 415.08846875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 415.56096875
transcript.pyannote[187].end 415.88159375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 415.88159375
transcript.pyannote[188].end 417.75471875
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 417.75471875
transcript.pyannote[189].end 427.72784375
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 418.14284375
transcript.pyannote[190].end 418.68284375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 419.20596875
transcript.pyannote[191].end 419.71221875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 428.48721875
transcript.pyannote[192].end 430.79909375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 430.79909375
transcript.pyannote[193].end 431.57534375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 431.57534375
transcript.pyannote[194].end 432.72284375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 431.62596875
transcript.pyannote[195].end 432.48659375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 432.72284375
transcript.pyannote[196].end 432.87471875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 432.87471875
transcript.pyannote[197].end 435.94596875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 436.68846875
transcript.pyannote[198].end 440.43471875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 440.89034375
transcript.pyannote[199].end 443.55659375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 443.74221875
transcript.pyannote[200].end 446.00346875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 446.71221875
transcript.pyannote[201].end 450.76221875
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 450.96471875
transcript.pyannote[202].end 452.97284375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 451.72409375
transcript.pyannote[203].end 452.11221875
transcript.pyannote[204].speaker SPEAKER_01
transcript.pyannote[204].start 452.97284375
transcript.pyannote[204].end 455.75721875
transcript.pyannote[205].speaker SPEAKER_02
transcript.pyannote[205].start 454.76159375
transcript.pyannote[205].end 456.14534375
transcript.whisperx[0].start 18.571
transcript.whisperx[0].end 20.972
transcript.whisperx[0].text 主席 我要請金寶長好 部長秀英好寶長 你好我用何樂威 你有困難嗎應該聽得懂你故鄉哪裡我在台北你台北市對 台北市所以沒有啦 以前我們內湖
transcript.whisperx[1].start 44.361
transcript.whisperx[1].end 59.71
transcript.whisperx[1].text 算是鄉下來喔 現在一般的古老伯伯你跟我說鄉下沒有啦 我出生的時候啦我出生的時候 算鄉下這樣就是表示 我問你這個就是說柯叔你是來自水原保護窟
transcript.whisperx[2].start 65.516
transcript.whisperx[2].end 72.502
transcript.whisperx[2].text 水環保護窟你了解吧我知道我們台南市的水庫這麼多比有的水環保護窟的地方是有夠寬我們的鄉親他想要去一間便宿要住一間寮都不行都要接受限制跟預算
transcript.whisperx[3].start 84.42
transcript.whisperx[3].end 108.498
transcript.whisperx[3].text 那麼在這個水源保護庫裡面竟然關節這麼嚴重來做這種太陽臨盤的發展本身絕對沒有反對太陽臨但我反對的是不正常的太陽臨外向高潔的太陽臨深分足矩的太陽臨汙染環境的太陽臨我想大家都一樣的態度
transcript.whisperx[4].start 111.038
transcript.whisperx[4].end 135.296
transcript.whisperx[4].text 那麼我請教你這個水庫的太陽能,我們收工的單價是不是比較貴?價格我可能要請那個美術這你沒了解,所以沒怪,那好,說明一下水面型的我們是依照不同的太陽那水面型的是比地面型的、小型的、地面型的要比較貴一點貴多少?
transcript.whisperx[5].start 140.623
transcript.whisperx[5].end 167.55
transcript.whisperx[5].text 比較好彈 比較好彈就比較大噹我們查一下那個差額 因為我們有分好幾個級距差額差不多就4到5啦比其他的太陽能還要4到5啊 照理講 它在水面上的發電耗爐比在陸上的發電耗爐比較好一點啦對 理論上是這樣 溫度比較低一點發電比較多 價格又比較好
transcript.whisperx[6].start 170.731
transcript.whisperx[6].end 186.973
transcript.whisperx[6].text 那麼在水管保護庫裡面 鄉親最擔心的是水手的汙染我相信大家都關心因為水手的汙染 灌溉用水手的汙染那麼本縮省委民意代表替鄉親提出建議
transcript.whisperx[7].start 188.629
transcript.whisperx[7].end 215.607
transcript.whisperx[7].text 有本會的委員說 超商已經算明清澈了根本清澈就沒用清潔這個你又繼續在講 所以對本席提供 柏中你的看法如何沒有 我們是釐清啦 如果有誤解我們就盡量來釐清沒有這樣行為民意代表啦 我跟你講 那麼經過逆者充分算明 逆者算明你就要聽喔
transcript.whisperx[8].start 217.21
transcript.whisperx[8].end 246.07
transcript.whisperx[8].text 你經濟沒發泡那麼多 藥劑跟你說我都合法 你就要聽嗎要負責嗎 當然要負責啊藥劑清洗是不是藥劑在洗所以水質 它還在發泡 你聽到沒有它還在發泡 讓清潔藥劑去做所以這個水質一定要定期檢查 就是這樣水質定期檢查合理嘛 都檢出
transcript.whisperx[9].start 247.642
transcript.whisperx[9].end 271.468
transcript.whisperx[9].text 有寫這個成分的時候那麼民意代表鄉親敬意關心有合理沒有啦有合理沒有但是沒有檢查出來 到目前為止在嘉南農田水理會的網站要說明清楚嘛這個任理事的介面
transcript.whisperx[10].start 274.429
transcript.whisperx[10].end 288.914
transcript.whisperx[10].text 畢竟這個到底是天然的都會說那是天然的啦因為你如果是用清潔劑洗的話它的容量會不一樣啦到底天然的要合成的你用殼那個塑膠
transcript.whisperx[11].start 292.455
transcript.whisperx[11].end 319.062
transcript.whisperx[11].text 因為有青蛇夾架出來主撲公他們可能有用到完皮包的鄉民洗個澡啦這個洗個澡就算是供送啦專門在洗替身啦洗鄉民的當有這個消息出來當然我們會更加關心嘛所以本縣提議要求夾架合時合地準備青蛇要說不
transcript.whisperx[12].start 321.69
transcript.whisperx[12].end 344.955
transcript.whisperx[12].text 可以 可以 這個可以 好來要求嚴重 清洗的時候 要淨泡 做得夠的因為 你說用水口的水洗啊沒有煮來水啊 煮那要洗進去啊他水要怎麼清進去 他用水口的水洗洗得乾淨 洗不乾淨 不管可以淨泡嗎 沒錯 有辦法淨泡嗎
transcript.whisperx[13].start 347.912
transcript.whisperx[13].end 366.877
transcript.whisperx[13].text 我們就是他要清洗的時候我們可以讓大家知道有興趣的人可以來參加可以這樣嗎可以要求他給我們賺那麼多錢可以要求他清洗的時候採出特別的硬幣依照工信給我們台南的鄉親說這水這樣他用水口的水洗
transcript.whisperx[14].start 369.398
transcript.whisperx[14].end 396.85
transcript.whisperx[14].text 有的人說用水口的水勢也有問題這點分析可以同意沒有問題那個技術上看他直播但是我們請那個村里的辦公室的同仁一起去你們又找村里辦公室了啦你一定很沒用的啦你一定很關心但是他眼睛金金人最重要的就是你們的病了可以要求嚇死民眾要派代表的話也可以啦
transcript.whisperx[15].start 397.729
transcript.whisperx[15].end 413.695
transcript.whisperx[15].text 嚇死啦業者他是清洗的行為人嘛我們要看技術上可不可行啦第一 這沒什麼新本啦第一 這沒什麼新本啦他如果不可行他可以通知本縣我們可以幫忙
transcript.whisperx[16].start 415.909
transcript.whisperx[16].end 416.57
transcript.whisperx[16].text 我們一定會公開透明 這個是原則啦
transcript.whisperx[17].start 428.684
transcript.whisperx[17].end 449.797
transcript.whisperx[17].text 啊大家在這裡喝水的時候噴口露營是啊 啊公開透明上面要清洗的時候你若能核實核立第一階段要清洗核過核立第二階段要清洗啊我們都裝潔布啊讓大家透明兼施這樣就是讓台南的鄉親把這個紀錄放開啊不然你現在你這樣說人家就不相信你啦我同意啊 就是公開透明做得到的 公開透明 做得到