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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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datasets: |
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- Libri3Mix |
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- sep_noisy |
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license: CC BY-NC 4.0 |
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inference: false |
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--- |
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## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_sepnoisy_8k` |
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Description: |
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This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid). |
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It was trained on the `sep_noisy` task of the Libri3Mix dataset. |
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Training config: |
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```yml |
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data: |
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n_src: 3 |
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sample_rate: 8000 |
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segment: 3 |
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task: sep_noisy |
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train_dir: data/wav8k/min/train-360 |
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valid_dir: data/wav8k/min/dev |
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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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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: 3 |
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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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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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On Libri3Mix min test set : |
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```yml |
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'si_sdr': 5.978836560066222, |
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'si_sdr_imp': 10.388889689413096, |
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'sdr': 6.8651365291740225, |
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'sdr_imp': 10.928018056925016, |
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'sir': 14.997089638783114, |
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'sir_imp': 18.08248357801549, |
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'sar': 8.127504792061933, |
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'sar_imp': -0.7869320540959925, |
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'stoi': 0.7669414686111115, |
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'stoi_imp': 0.20416563213078837 |
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``` |
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License notice: |
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This work "ConvTasNet_Libri3Mix_sepnoisy_8k" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, |
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used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures |
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dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only). |
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"ConvTasNet_Libri3Mix_sepnoisy_8k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino |
