[dicscussion] Batched CPU/GPU audio decoding / encoding
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- Dominant language
- Python
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Description
🚀 The feature
GPU audio decoding at least for some codecs is useful for wider usage of compressed audio for training ASR models.
Maybe some neural codecs (I think Google open-sourced some neural codecs) would be more amenable to batched GPU decoding and integration into models directly.
Motivation, pitch
N/A
Alternatives
No response
Additional context
No response
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
No files, tests, or entry points are named; begin by clarifying the intended codecs, batching behavior, and CPU/GPU scope. Done would require an agreed feature scope and validation criteria for batched audio decoding or encoding.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100