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README.md
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data:
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n_src: 2
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sample_rate: 8000
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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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```yaml
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si_sdr: 14.764543634468069
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si_sdr_imp: 14.764029375607246
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stoi_imp: 0.21817376142710482
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```
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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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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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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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