torchaudio mobile?
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- Dominant language
- Python
- Stars
- 2.9k
- Forks
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- Avg merge
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- Merged PRs (30d)
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Description
🚀 Feature
torchaudio should work on Android and iOS platforms
Motivation
Mobile apps need a fast way to preprocess audio (i.e. generate spectrograms).
Pitch
I would love to see a lightweight interface that provides access to all torchaudio functions from Java and ObjectiveC. Heavy logic like FFT should be optimized for performance (i.e. pushed to GPU whenever available).
Alternatives
Tensorflow Lite is moving in this direction (mfcc and most other signal processing ops are already whitelisted).
Additional context
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. Start by mapping torchaudio's existing platform boundaries and the Android/iOS integration options, then define a scoped interface and performance target; done would require a concrete mobile implementation and validation on both platforms.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- android, ios, java, objective-c, python, pytorch
- Domain
- audio-video-rtc, machine-learning, mobile-dev
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100