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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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- Libri2Mix |
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- sep_clean |
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license: cc-by-sa-4.0 |
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--- |
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## Asteroid model `Awais/Audio_Source_Separation` |
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Imported from [Zenodo](https://zenodo.org/record/3873572#.X9M69cLjJH4) |
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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_clean` task of the Libri2Mix 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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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/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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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: 2 |
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``` |
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Results : |
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On Libri2Mix min test set : |
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```yaml |
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si_sdr: 14.764543634468069 |
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si_sdr_imp: 14.764029375607246 |
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sdr: 15.29337970745095 |
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sdr_imp: 15.114146605113111 |
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sir: 24.092904661115366 |
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sir_imp: 23.913669683141528 |
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sar: 16.06055906916849 |
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sar_imp: -51.980784441287454 |
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stoi: 0.9311142440593033 |
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stoi_imp: 0.21817376142710482 |
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``` |
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License notice: |
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This work "ConvTasNet_Libri2Mix_sepclean_8k" |
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is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by Vassil Panayotov, |
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used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). "ConvTasNet_Libri2Mix_sepclean_8k" |
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is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Cosentino Joris. |
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