ymybxx/solomcn/transcribe
Claude Code and agent skill by ymybxx/solomcn
Trust tier 3
- community
Source check pending
Checking that the SKILL.md file is still in the repository.
工具:语音转文字(本机 whisper.cpp)。回听配音有没有念错、给素材里的说话配字幕、对齐台词时间时用。
Install
npx vskill@latest install ymybxx/solomcn/transcribeSKILL.md
语音转文字
用本机的 whisper.cpp,不联网、不花钱。
在哪
- 程序:
whisper-cli(一般在/opt/homebrew/bin/whisper-cli)。没有的话这台电脑没装,告诉用户运行brew install whisper-cpp,这次跳过回听。 - 模型:工作台根目录下的
data/programs/whisper/,用多语言模型(文件名里没有.en),中文推荐ggml-medium.bin(1.5 GB)或ggml-small.bin(480 MB)。目录里没有就下载到这里:
curl -L -o data/programs/whisper/ggml-small.bin https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-small.bin
怎么用
- 先转成 16 kHz 单声道 wav:
ffmpeg -y -i <输入> -ar 16000 -ac 1 /tmp/x.wav - 转文字:
whisper-cli -m <模型> -l zh -f /tmp/x.wav -oj -of <输出前缀>,结果在<输出前缀>.json,每段有起止时间和文字。英文内容用-l en,混着说用-l auto。 - 只抽查几句时,用 ffmpeg 先截出那几秒(
-ss <起> -t <长>)再转,快很多。
坑
- 模型下了一半(文件太小、加载报错)就删掉重下。
- 背景音乐很响时识别会乱,回听配音时用没混音乐的单句配音文件。
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingdefaults/skills/transcribe/SKILL.md
Popularity
- Repository stars
- 69
- Repository forks
- 17
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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