Music Information Retrieval Evaluation Exchange (MIREX) datasets
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- Dominant language
- Python
- Stars
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- Merged PRs (30d)
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Description
Each year the Music Information Retrieval Evaluation Exchange (MIREX) sponsors a number of noteworthy competitions for problems like chord, key change, and tempo estimation. Many of the competitions have longstanding (sometimes 10+ years) training and test sets. If torchaudio provided these datasets in a standard format (similar to VCTK or something like PASCAL from torchvision), PyTorch would become an invaluable toolkit for researchers working on these types of problems.
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 the MIREX competitions and their longstanding training and test sets, then compare the proposed standard format with torchaudio's VCTK and torchvision's PASCAL datasets. Define which datasets and competitions are in scope, how they should be represented, and what completion criteria the resulting dataset support must meet.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- audio-video-rtc, data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100