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README.md

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+---
+tags:
+- asteroid
+- audio
+- DCUNet
+- audio-source-separation
+datasets:
+- Libri1Mix
+- enh_single
+license: cc-by-sa-3.0
+inference: false
+---
+
+## Asteroid model `JorisCos/DCUNet_Libri1Mix_enhsignle_16k`
+
+Description:
+
+This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
+It was trained on the `enh_single` task of the Libri1Mix  dataset.
+
+Training config:
+
+```yml
+data:
+  n_src: 1
+  sample_rate: 16000
+  segment: 3
+  task: enh_single
+  train_dir: data/wav16k/min/train-360
+  valid_dir: data/wav16k/min/dev
+filterbank:
+  stft_n_filters: 1024
+  stft_kernel_size: 1024
+  stft_stride: 256
+masknet:
+  architecture: Large-DCUNet-20
+  fix_length_mode: pad
+  n_src: 1
+optim:
+  lr: 0.001
+  optimizer: adam
+  weight_decay: 1.0e-05
+training:
+  batch_size: 2
+  early_stop: true
+  epochs: 200
+  gradient_clipping: 5
+  half_lr: true
+  num_workers: 4
+```
+  
+
+Results:
+
+On Libri1Mix min test set :
+```yml
+si_sdr: 13.154035391645971
+si_sdr_imp: 9.704254085786271
+sdr: 13.568058873121435
+sdr_imp: 10.065396073908367
+sar: 13.568058873121435
+sar_imp: 10.065396073908367
+stoi: 0.9199373340235417
+stoi_imp: 0.12401751048300132
+```
+
+
+License notice:
+
+This work "DCUNet_Libri1Mix_enhsignle_16k" is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by Vassil Panayotov,
+used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/); of The WSJ0 Hipster Ambient Mixtures 
+dataset by [Whisper.ai](http://wham.whisper.ai/), used under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) (Research only). 
+"DCUNet_Libri1Mix_enhsignle_16k" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Joris Cosentino

pytorch_model.bin

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