| IVOD_ID |
162001 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162001 |
| 日期 |
2025-05-28 |
| 會議資料.會議代碼 |
委員會-11-3-23-13 |
| 會議資料.會議代碼:str |
第11屆第3會期交通委員會第13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 |
13 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
23 |
| 會議資料.委員會代碼:str[0] |
交通委員會 |
| 會議資料.標題 |
第11屆第3會期交通委員會第13次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-05-28T11:05:08+08:00 |
| 結束時間 |
2025-05-28T11:13:06+08:00 |
| 影片長度 |
00:07:58 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/75aba70f567c6f249b9a17665d0994c659eeaad68db6e97f87f2bf784d93fc3009f5c66c4053d3005ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
許智傑 |
| 委員發言時間 |
11:05:08 - 11:13:06 |
| 會議時間 |
2025-05-28T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期交通委員會第13次全體委員會議（事由：一、處理113年度中央政府總預算附屬單位預算關於國家通訊傳播委員會主管預算凍結案計15案。
二、審查114年度中央政府總預算關於國家通訊傳播委員會預算凍結案計2案。
三、繼續審查(一)委員黃健豪等19人擬具「電信管理法第五條、第八條及第七十九條條文修正草案」案、(二)台灣民眾黨黨團擬具「電信管理法第五條及第八條之一條文修正草案」案、(三)委員鍾佳濱等21人擬具「電信管理法第五條、第九條及第七十九條條文修正草案」案、(四)台灣民眾黨黨團擬具「電信管理法第九條及第四十條條文修正草案」案及(五)委員陳俊宇等19人擬具「電信管理法第七十五條條文修正草案」案。
【本日會議僅針對開會事由二進行詢答，詢答後進行審查】
【5月28日及29日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
1.49909375 |
| transcript.pyannote[0].end |
3.32159375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
3.69284375 |
| transcript.pyannote[1].end |
3.92909375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
3.92909375 |
| transcript.pyannote[2].end |
4.57034375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
4.57034375 |
| transcript.pyannote[3].end |
4.77284375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
4.77284375 |
| transcript.pyannote[4].end |
4.80659375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
9.83534375 |
| transcript.pyannote[5].end |
10.35846875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
10.83096875 |
| transcript.pyannote[6].end |
18.47534375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
18.99846875 |
| transcript.pyannote[7].end |
21.42846875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
21.91784375 |
| transcript.pyannote[8].end |
24.97221875 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
25.52909375 |
| transcript.pyannote[9].end |
26.03534375 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
26.62596875 |
| transcript.pyannote[10].end |
44.46284375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
45.42471875 |
| transcript.pyannote[11].end |
47.31471875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
48.42846875 |
| transcript.pyannote[12].end |
49.59284375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
50.47034375 |
| transcript.pyannote[13].end |
51.61784375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
52.19159375 |
| transcript.pyannote[14].end |
53.27159375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
53.89596875 |
| transcript.pyannote[15].end |
55.19534375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
55.63409375 |
| transcript.pyannote[16].end |
60.61221875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
61.08471875 |
| transcript.pyannote[17].end |
66.99096875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
67.76721875 |
| transcript.pyannote[18].end |
68.56034375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
69.03284375 |
| transcript.pyannote[19].end |
73.09971875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
73.69034375 |
| transcript.pyannote[20].end |
77.43659375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
78.06096875 |
| transcript.pyannote[21].end |
79.22534375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
79.63034375 |
| transcript.pyannote[22].end |
82.17846875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
82.26284375 |
| transcript.pyannote[23].end |
83.96721875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
84.18659375 |
| transcript.pyannote[24].end |
87.39284375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
87.71346875 |
| transcript.pyannote[25].end |
88.65846875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
88.96221875 |
| transcript.pyannote[26].end |
89.70471875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
90.27846875 |
| transcript.pyannote[27].end |
94.86846875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
95.34096875 |
| transcript.pyannote[28].end |
95.42534375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
95.42534375 |
| transcript.pyannote[29].end |
98.96909375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
95.44221875 |
| transcript.pyannote[30].end |
95.98221875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
98.96909375 |
| transcript.pyannote[31].end |
99.32346875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
99.32346875 |
| transcript.pyannote[32].end |
102.58034375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
103.59284375 |
| transcript.pyannote[33].end |
115.47284375 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
115.79346875 |
| transcript.pyannote[34].end |
117.98721875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
118.13909375 |
| transcript.pyannote[35].end |
122.10471875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
122.54346875 |
| transcript.pyannote[36].end |
129.69846875 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
130.57596875 |
| transcript.pyannote[37].end |
131.94284375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
132.58409375 |
| transcript.pyannote[38].end |
144.43034375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
145.13909375 |
| transcript.pyannote[39].end |
147.51846875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
148.24409375 |
| transcript.pyannote[40].end |
175.91909375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
176.02034375 |
| transcript.pyannote[41].end |
176.56034375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
176.91471875 |
| transcript.pyannote[42].end |
183.91784375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
184.64346875 |
| transcript.pyannote[43].end |
188.81159375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
189.82409375 |
| transcript.pyannote[44].end |
192.74346875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
192.99659375 |
| transcript.pyannote[45].end |
196.50659375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
196.79346875 |
| transcript.pyannote[46].end |
210.10784375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
210.56346875 |
| transcript.pyannote[47].end |
212.94284375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
213.70221875 |
| transcript.pyannote[48].end |
218.41034375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
218.89971875 |
| transcript.pyannote[49].end |
230.25659375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
230.81346875 |
| transcript.pyannote[50].end |
240.21284375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
240.44909375 |
| transcript.pyannote[51].end |
245.83221875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
246.49034375 |
| transcript.pyannote[52].end |
256.56471875 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
256.96971875 |
| transcript.pyannote[53].end |
258.48846875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
258.82596875 |
| transcript.pyannote[54].end |
260.47971875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
260.81721875 |
| transcript.pyannote[55].end |
278.94096875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
279.53159375 |
| transcript.pyannote[56].end |
282.83909375 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
282.34971875 |
| transcript.pyannote[57].end |
287.04096875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
282.92346875 |
| transcript.pyannote[58].end |
283.00784375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
286.55159375 |
| transcript.pyannote[59].end |
287.20971875 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
287.05784375 |
| transcript.pyannote[60].end |
287.07471875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
287.20971875 |
| transcript.pyannote[61].end |
291.98534375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
291.98534375 |
| transcript.pyannote[62].end |
295.52909375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
295.76534375 |
| transcript.pyannote[63].end |
303.29159375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
304.28721875 |
| transcript.pyannote[64].end |
316.99409375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
316.47096875 |
| transcript.pyannote[65].end |
317.17971875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
317.61846875 |
| transcript.pyannote[66].end |
320.41971875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
320.97659375 |
| transcript.pyannote[67].end |
333.32909375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
333.53159375 |
| transcript.pyannote[68].end |
341.90159375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
342.03659375 |
| transcript.pyannote[69].end |
361.03784375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
361.07159375 |
| transcript.pyannote[70].end |
369.62721875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
361.44284375 |
| transcript.pyannote[71].end |
361.69596875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
369.72846875 |
| transcript.pyannote[72].end |
371.65221875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
371.93909375 |
| transcript.pyannote[73].end |
374.70659375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
375.73596875 |
| transcript.pyannote[74].end |
375.95534375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
377.00159375 |
| transcript.pyannote[75].end |
384.91596875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
377.15346875 |
| transcript.pyannote[76].end |
377.62596875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
385.62471875 |
| transcript.pyannote[77].end |
389.74221875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
390.24846875 |
| transcript.pyannote[78].end |
395.34471875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
395.53034375 |
| transcript.pyannote[79].end |
396.67784375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
395.98596875 |
| transcript.pyannote[80].end |
399.68159375 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
399.68159375 |
| transcript.pyannote[81].end |
401.82471875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
400.66034375 |
| transcript.pyannote[82].end |
402.56721875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
402.43221875 |
| transcript.pyannote[83].end |
402.80346875 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
402.80346875 |
| transcript.pyannote[84].end |
412.33784375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
412.87784375 |
| transcript.pyannote[85].end |
416.65784375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
416.38784375 |
| transcript.pyannote[86].end |
421.31534375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
421.48409375 |
| transcript.pyannote[87].end |
424.82534375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
425.36534375 |
| transcript.pyannote[88].end |
426.51284375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
426.51284375 |
| transcript.pyannote[89].end |
428.82471875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
428.36909375 |
| transcript.pyannote[90].end |
434.96721875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
433.95471875 |
| transcript.pyannote[91].end |
455.43659375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
445.83471875 |
| transcript.pyannote[92].end |
445.88534375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
455.97659375 |
| transcript.pyannote[93].end |
471.45096875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
471.72096875 |
| transcript.pyannote[94].end |
477.22221875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
474.75846875 |
| transcript.pyannote[95].end |
475.53471875 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
476.07471875 |
| transcript.pyannote[96].end |
476.47971875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
477.50909375 |
| transcript.pyannote[97].end |
478.55534375 |
| transcript.whisperx[0].start |
1.513 |
| transcript.whisperx[0].end |
24.731 |
| transcript.whisperx[0].text |
好 謝謝主席 我們請主委好 陳代主委主委好 這個詐騙一向都是大家非常關心的議題那NCC對於詐騙的成果你覺得有沒有什麼成果或滿不滿意可以跟國人講一下 |
| transcript.whisperx[1].start |
26.653 |
| transcript.whisperx[1].end |
26.873 |
| transcript.whisperx[1].text |
這個其實我在諮詢這邊也 |
| transcript.whisperx[2].start |
50.829 |
| transcript.whisperx[2].end |
67.858 |
| transcript.whisperx[2].text |
講過了很多次那也希望說NCC可以更主動積極就是說從國外打來的詐騙電話要怎麼樣去把它攔阻下來那事實上我跟NCC要你們的那個 |
| transcript.whisperx[3].start |
69.367 |
| transcript.whisperx[3].end |
88.502 |
| transcript.whisperx[3].text |
資料就是說從112年5月份陸續實施啦那已經降低了從五千萬通降到五百萬通這個數據是你們給我們的你們自己清楚嗎清楚 |
| transcript.whisperx[4].start |
91.116 |
| transcript.whisperx[4].end |
115.131 |
| transcript.whisperx[4].text |
這個坦白講啦 要給你們鼓勵一下啦這個已經攔掉了近九成嘛 對不對但是民眾好像不是那麼清楚我們會來持續宣傳 因為詐騙集團他從國際來話那邊 只要被我們擋住之後他都流到其他的領域 比如說網路啊 或者社群媒體那邊 |
| transcript.whisperx[5].start |
115.896 |
| transcript.whisperx[5].end |
144.119 |
| transcript.whisperx[5].text |
所以其實我要講的就是說今天我們有要求你們有做事然後也有一點成果那這個部分如果你沒有跟國人講國人不知道你們NCC有做這些事就像那個那個現在還有585萬通嘛那到目前為止不知道還有沒有在攔下更多啦那就這個部分是人工在 |
| transcript.whisperx[6].start |
145.225 |
| transcript.whisperx[6].end |
145.466 |
| transcript.whisperx[6].text |
處理還是電腦在處理 |
| transcript.whisperx[7].start |
148.608 |
| transcript.whisperx[7].end |
176.18 |
| transcript.whisperx[7].text |
有些是大部分是電腦自動處理比方說當初它是偽冒國內的行動電話那我們透過三家來查說這個客戶根本沒有出國不可能海外賣魚回來那邊就自動就把它攔住掉那另外一些偽冒國內的事化國內的事化台北的電話怎麼可能從海外打回來這些是自然判斷邏輯不對的異常部分就直接在電腦端就設定好就把它攔住掉OK |
| transcript.whisperx[8].start |
177.06 |
| transcript.whisperx[8].end |
188.118 |
| transcript.whisperx[8].text |
所以你們藍調的通數我就說先給你們鼓勵這個你們要宣傳啦這個那個你在從那個出國回來在機場可以買一條菸 |
| transcript.whisperx[9].start |
189.895 |
| transcript.whisperx[9].end |
211.195 |
| transcript.whisperx[9].text |
啊可以買那個一瓶酒其他的不行對不對那國人大概都知道了嘛那你們其實有成功的攬下因為現在大部分的人民就覺得說反正我受到詐騙的話就很討厭然後就是政府沒做事這個就是一般就會人家人民就會這麼想嘛那當然就是說585萬通 |
| transcript.whisperx[10].start |
213.749 |
| transcript.whisperx[10].end |
229.511 |
| transcript.whisperx[10].text |
坦白講還是很多很多很多啦那也是還是很多人民受騙啦所以就是說我們應該是分兩個部分來講就是說你今天有做事你必須要宣傳讓人民知道我們NCC幫忙做了多少事擋掉了多少的詐騙 |
| transcript.whisperx[11].start |
231.176 |
| transcript.whisperx[11].end |
242.206 |
| transcript.whisperx[11].text |
那當然就針對這585萬通我們還有什麼機會可以再去改進再去減得更低我想這個就是一個態度嘛所以我是希望說你們剛剛說用電腦去阻攔的話那 |
| transcript.whisperx[12].start |
246.55 |
| transcript.whisperx[12].end |
271.944 |
| transcript.whisperx[12].text |
因為你背後就是V2V2C嘛那C如果是說詐騙的民眾V如果是我們中華電信的這個hub然後原來的V是詐騙的集團那你今天這樣子一個處理的方式是不是有機會你把那個電腦的程式或者是在引進AI的學習模式可以把這個詐騙的 |
| transcript.whisperx[13].start |
274.085 |
| transcript.whisperx[13].end |
303.124 |
| transcript.whisperx[13].text |
分類然後學習然後攔阻可以更有效率這個部分我是建議NCC可以考量一下是那其實在簡訊的部分業者也要引入AI三大都有語音的部分他們也有適度的一些用AI的一些能力來處理OK那包括你們的語音的接聽警示啦接聽警示這個其實我是覺得還不錯啦那有沒有什麼你們覺得成果可以跟人民報告的 |
| transcript.whisperx[14].start |
304.309 |
| transcript.whisperx[14].end |
320.003 |
| transcript.whisperx[14].text |
好 那其實在這個我們會適當的在適當的不管是FB還有相關部分我們會適當的就微音的指示部分就我們目前辦的一些努力部分來適當的對外揭露今天重點就是要跟NCC |
| transcript.whisperx[15].start |
321.264 |
| transcript.whisperx[15].end |
339.233 |
| transcript.whisperx[15].text |
討論就是說你要盡量去把你的成果跟需要精進的技巧然後可以在攔阻的問題這些做一個整理然後跟人民報告或者是做一個宣傳讓人民知道事實上真的有做的事情其實五千幾萬通那時候是很嚇人的 |
| transcript.whisperx[16].start |
342.35 |
| transcript.whisperx[16].end |
370.947 |
| transcript.whisperx[16].text |
我都等到五百多萬通 也算有水準了啦當然五百多萬通對民眾來說 又是一陣困擾啦要怎麼讓它留住啦我是覺得這個部分 希望NCC也讓人民知道我們政府有在做事然後需要在精進的作為是什麼希望說這個可以思考一下好 精進作為部分我們主要是在網路電話這一塊來處理我們目前也有做一些攔阻那未來也會做語音警示的來處理好 那再來就是那個 |
| transcript.whisperx[17].start |
372.088 |
| transcript.whisperx[17].end |
384.782 |
| transcript.whisperx[17].text |
你們電信業務管理費就是上次的那個那部分我們現在322位目前已經有有80%已經完成退費了 |
| transcript.whisperx[18].start |
385.677 |
| transcript.whisperx[18].end |
411.799 |
| transcript.whisperx[18].text |
好 因為時間差不多了 所以我再跟你們強調一次就是說你今天是公司的不收費嘛 對不對 公司的要收費嘛個人帶三個以上的要收費兩部以下的不用收費那你現在未來還有可能再增加的部分那你們這個機制我想你們也要把它訂一個合理的收費標準 |
| transcript.whisperx[19].start |
412.995 |
| transcript.whisperx[19].end |
424.593 |
| transcript.whisperx[19].text |
是 我們現在同仁已經在研擬在進行所以我講的就是說你今天慢慢的有那個態度就是說你今天有做的今天有322個人退款已經退了沒 |
| transcript.whisperx[20].start |
425.45 |
| transcript.whisperx[20].end |
449.986 |
| transcript.whisperx[20].text |
已經退了百分之八十了 百分之八十已經退了有些是聯絡不到或是他的退款的帳號會有一些問題沒關係 這個我是要提醒你就是說這個算是NCC有改善的部分我們有要求有改善的部分 那也確實有成果還沒有做完的趕快把它做完 做完以後就是說可以跟民眾知道一下 |
| transcript.whisperx[21].start |
450.726 |
| transcript.whisperx[21].end |
476.165 |
| transcript.whisperx[21].text |
然後再來就是說未來有可能再增加的部分你們要怎麼樣去防範怎麼樣去訂一個更合理的標準我希望說這個部分也希望NCC可以考量今天質詢的兩個重點一個就是你們有做的讓人民知道要再改善的部分也讓人民知道你用什麼方法這兩個概念希望說NCC可以多講啦不要人家說你都沒做事了了解我的意思嗎有做的就是要說啦好 謝謝 |