Constant Q-Transform
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contributions welcome
help wanted
- Dominant language
- Python
- Stars
- 2.9k
- Forks
- 798
- Avg merge
- 58m
- Merged PRs (30d)
- 3
Description
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 by reviewing torchaudio's existing audio transforms and comparing the requested behavior with librosa.cqt and librosa.griffinlim_cqt. No source files or tests are named; done means providing both a constant-Q transform and its inverse with behavior matching the referenced librosa operations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- audio-video-rtc
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100