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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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- ## Results:
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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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+
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+ Description:
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+
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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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+
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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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+
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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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+
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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.