建议添加 FunASR/SenseVoice 用于字幕生成
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
Research direction
No repository files, tests, or entry points are named. Start by reviewing the FunASR and SenseVoice references in the issue, then locate the existing subtitle-generation flow; done should include a defined local speech-to-subtitle integration with documented model, language, licensing, and timestamp behavior.
Written by the indexing model from the issue text.
Description
[!NOTE]
许可证与能力更正（2026-07-14）： FunASR 是工具箱，不是单一模型。FunASR 与 SenseVoice 仓库源码采用 MIT；模型权重以各自模型卡为准。SenseVoiceSmall 支持中文、粤语、英语、日语和韩语，权重使用模型卡链接的 FunASR 模型开源协议；Fun-ASR-Nano-2512 为 Apache-2.0。语言范围、标点和性能取决于所选模型及运行配置。
你好！很实用的字幕翻译工具！
建议考虑集成 FunASR 或 SenseVoice 用于从音频直接生成字幕（作为翻译的前置步骤）：
优势
- 极快 — SenseVoice-Small ~70ms/10s
- 内置标点 — 自然断句
- 字级时间戳 — 精确 SRT 时间轴
- 50+语言 — 多语言字幕生成
- 完全本地 — 无 API 费用，Apache 2.0
参考
- FunASR: https://github.com/modelscope/FunASR (17K+ stars)
- SenseVoice: https://github.com/FunAudioLLM/SenseVoice (8K+ stars)
- Dominant language
- No language data
- Stars
- 2.6k
- Forks
- 195
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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