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--- |
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tags: |
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- asteroid |
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- audio |
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- ConvTasNet |
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- audio-to-audio |
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datasets: |
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- wham |
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- sep_clean |
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license: cc-by-sa-3.0 |
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inference: false |
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--- |
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## Asteroid model `mpariente/ConvTasNet_WHAM_sepclean` |
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Imported from [Zenodo](https://zenodo.org/record/3862942) |
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### Description: |
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This model was trained by Manuel Pariente |
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using the wham/ConvTasNet recipe in [Asteroid](https://github.com/asteroid-team/asteroid). |
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It was trained on the `sep_clean` task of the WHAM! dataset. |
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### Training config: |
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```yaml |
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data: |
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n_src: 2 |
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mode: min |
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nondefault_nsrc: None |
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sample_rate: 8000 |
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segment: 3 |
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task: sep_clean |
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train_dir: data/wav8k/min/tr/ |
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valid_dir: data/wav8k/min/cv/ |
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filterbank: |
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kernel_size: 16 |
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n_filters: 512 |
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stride: 8 |
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main_args: |
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exp_dir: exp/wham |
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gpus: -1 |
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help: None |
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masknet: |
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bn_chan: 128 |
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hid_chan: 512 |
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mask_act: relu |
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n_blocks: 8 |
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n_repeats: 3 |
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n_src: 2 |
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skip_chan: 128 |
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optim: |
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lr: 0.001 |
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optimizer: adam |
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weight_decay: 0.0 |
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positional arguments: |
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training: |
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batch_size: 24 |
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early_stop: True |
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epochs: 200 |
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half_lr: True |
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num_workers: 4 |
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``` |
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### Results: |
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```yaml |
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si_sdr: 16.21326632846293 |
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si_sdr_imp: 16.21441705664987 |
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sdr: 16.615180021738933 |
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sdr_imp: 16.464137807433435 |
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sir: 26.860503975131923 |
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sir_imp: 26.709461760826414 |
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sar: 17.18312813480803 |
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sar_imp: -131.99332048277296 |
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stoi: 0.9619940905157323 |
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stoi_imp: 0.2239480672473015 |
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``` |
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### License notice: |
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This work "ConvTasNet_WHAM!_sepclean" is a derivative of [CSR-I (WSJ0) Complete](https://catalog.ldc.upenn.edu/LDC93S6A) |
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by [LDC](https://www.ldc.upenn.edu/), used under [LDC User Agreement for |
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Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf) (Research only). |
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"ConvTasNet_WHAM!_sepclean" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) |
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by Manuel Pariente. |
