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aRI0U committed Jan 22, 2024
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Expand Up @@ -182,32 +182,3 @@ If you want to use this work, please cite:
doi={10.1109/TASLP.2022.3200547}}
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## TODO

### Research

- Implement confidence score
- Handle continuous changes in time
- Handle velocity
- Smaller model
- train on MUSDB to make it robust to background music
- Optimal Transport
- circular distributions to avoid shitty initialization


### Implementation

- Viterbi smoothing


### Refactoring

- simplify `datamodules`
- split `augmentations/cqt` in two files + implement data augmentations directly in this repo
- general evaluation loop: use same codebase for evaluating all baselines


### Pretrained models

- Train good models, evaluate them and release them

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