modelscope / modelscope/FunASR
目前有流式只是说话人区分的吗,还是必须由开发这组合,感觉自己组合出来的不好用
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question
- Dominant language
- Python
- Stars
- 20.4k
- Forks
- 2k
- Avg merge
- 4h 55m
- Merged PRs (30d)
- 169
Description
Notice: In order to resolve issues efficiently, please follow the template.
(注意:为了更加高效率解决您遇到的问题,请按照模板提问,补充细节。)
Before asking
- Search existing issues: https://github.com/modelscope/FunASR/issues
- Search the docs: https://modelscope.github.io/FunASR/
- Check the README quick start and deployment section.
Question
Code or command
What have you tried?
Environment
- OS:
- Python version:
- FunASR version:
- ModelScope version:
- PyTorch / torchaudio version:
- Install method (
pip, source, Docker): - Device (
cuda,cpu,mps): - GPU model:
- CUDA/cuDNN version:
- Docker image tag, if used:
Contributor guide
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.
Research direction
Start with the FunASR documentation and README quick start and deployment sections mentioned in the issue. Check whether they describe a streaming speaker-diarization pipeline or only separately composable components; done should be a confirmed supported workflow or a clear documentation of the limitation and required combination.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100