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exts generated from A3_wKgMbl2yw1yiIds-AGX_jo0hufs184.srt.Mark the sentences to keep for autocut.
The format is [subtitle_index,duration_in_second] subtitle context.
[1,00:00] College English Test
[2,00:02] < No Speech >
[3,00:05] 听听 Comprehension
[4,00:06] < No Speech >
[5,00:12] 你会听到两场长的谈话
[6,00:14] 在每个谈话的结束
[7,00:16] 你会听到四个问题
[8,00:19] 两个话题和问题只会一次发生
[9,00:24] 请不吝点赞 订阅 转发 打赏支持明镜与点点栏目
[10,00:30] C and D
[11,00:32] 然后在答案项目一上
[12,00:35] 与一个线线通过中间
[13,00:37] < No Speech >
[14,00:39] 哇,我会给任何事情都像Audrey Hepburn一样
[15,00:44] 我从来没有理解为什么这么多女孩是她的大粉丝
[16,00:50] < No Speech >
[17,00:51] 我看过有名的电影
[18,00:52] 《罗门假期》
[19,00:54] 《早餐在蒂芬妮》
......
原文都是英文,但转录出来的是中文。
请求参数:autucut -d .data/ --whisper-model=large
另外由于国内网络环境使用,我把transcribe.py中的62行以下的vad_model请求换成了使用本地文件
‘’’
if self.vad_model is None or self.detect_speech is None:
# torch load limit pytorch/vision#4156
torch.hub._validate_not_a_forked_repo = lambda a, b, c: True
#self.vad_model, funcs = torch.hub.load(
# repo_or_dir="snakers4/silero-vad", model="silero_vad", trust_repo=True
#)
self.vad_model, funcs = torch.hub.load(
repo_or_dir="/root/.cache/torch/hub/snakers4_silero-vad_master/", model="silero_vad", trust_repo=True, source='local'
)
self.detect_speech = funcs[0]
‘’‘
The text was updated successfully, but these errors were encountered:
我有一批英文录音,想自动输出字幕但结果不甚理想,主要是会出现自动翻译的问题。以下是一段六级英语听力的转录结果
exts generated from A3_wKgMbl2yw1yiIds-AGX_jo0hufs184.srt.Mark the sentences to keep for autocut.
The format is [subtitle_index,duration_in_second] subtitle context.
......
原文都是英文,但转录出来的是中文。
请求参数:autucut -d .data/ --whisper-model=large
另外由于国内网络环境使用,我把transcribe.py中的62行以下的vad_model请求换成了使用本地文件
‘’’
if self.vad_model is None or self.detect_speech is None:
# torch load limit pytorch/vision#4156
torch.hub._validate_not_a_forked_repo = lambda a, b, c: True
#self.vad_model, funcs = torch.hub.load(
# repo_or_dir="snakers4/silero-vad", model="silero_vad", trust_repo=True
#)
self.vad_model, funcs = torch.hub.load(
repo_or_dir="/root/.cache/torch/hub/snakers4_silero-vad_master/", model="silero_vad", trust_repo=True, source='local'
)
self.detect_speech = funcs[0]
‘’‘
The text was updated successfully, but these errors were encountered: