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@@ -13,8 +13,10 @@ license: cc-by-sa-4.0
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  Description:
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- This model was fine tuned on a modified version of WHAMR! where the speakers were taken from audiobook recordings.
 
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  The initial model was taken from here: https://huggingface.co/JorisCos/DCCRNet_Libri1Mix_enhsingle_16k
 
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  This model was trained by M. Can Keles using the WHAM recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
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  It was trained on the `enh_single` task of the WHAM dataset.
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  Results:
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- On Libri1Mix min test set :
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- ```yml
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- si_sdr: 14.743051006476085
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- si_sdr_imp: 11.293269700616385
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- sdr: 15.300522933671061
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- sdr_imp: 11.797860134458015
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- sir: Infinity
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- sir_imp: NaN
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- sar: 15.300522933671061
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- sar_imp: 11.797860134458015
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- stoi: 0.9310514162434267
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- stoi_imp: 0.13513159270288563
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  ```
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  Description:
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+ This model was fine tuned on a modified version of WHAMR! where the speakers were taken from audiobook recordings and reverb was added by Pedalboard, Spotify.
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  The initial model was taken from here: https://huggingface.co/JorisCos/DCCRNet_Libri1Mix_enhsingle_16k
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  This model was trained by M. Can Keles using the WHAM recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
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  It was trained on the `enh_single` task of the WHAM dataset.
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  Results:
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  ```
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