Multilingual version of CLAP
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- Dominant language
- Python
- Stars
- 2.3k
- Forks
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Description
Hi,
Thanks for making the code and the models publicly available. I was wondering if there is any way we can create a multilingual version of CLAP also instead of using Swin-transformer as the audio encoder, can we swap it with other multilingual encoders like Whisper?
Contributor guide
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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
The issue names no files, tests, or entry points. Start by reviewing how CLAP's audio and text encoders are integrated, then define the scope of multilingual support and Whisper compatibility; done would require an agreed implementation plan and validation criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100