Model release: v1

README.md

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+---
+tags:
+- asteroid
+- audio
+- ConvTasNet
+- audio-to-audio
+datasets:
+- Libri2Mix
+- sep_clean
+license: cc-by-sa-4.0
+---
+## Asteroid model `Awais/Audio_Source_Separation`
+Imported from [Zenodo](https://zenodo.org/record/3873572#.X9M69cLjJH4)
+
+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 `sep_clean` task of the Libri2Mix dataset.
+
+Training config:
+```yaml
+data:
+    n_src: 2
+    sample_rate: 8000
+    segment: 3
+    task: sep_clean
+    train_dir: data/wav8k/min/train-360
+    valid_dir: data/wav8k/min/dev
+filterbank:
+    kernel_size: 16
+    n_filters: 512
+    stride: 8
+masknet:
+    bn_chan: 128
+    hid_chan: 512
+    mask_act: relu
+    n_blocks: 8
+    n_repeats: 3
+    skip_chan: 128
+optim:
+    lr: 0.001
+    optimizer: adam
+    weight_decay: 0.0
+training:
+    batch_size: 24
+    early_stop: True
+    epochs: 200
+    half_lr: True
+    num_workers: 2
+```
+
+
+Results :
+
+On Libri2Mix min test set :
+```yaml
+si_sdr: 14.764543634468069
+si_sdr_imp: 14.764029375607246
+sdr: 15.29337970745095
+sdr_imp: 15.114146605113111
+sir: 24.092904661115366
+sir_imp: 23.913669683141528
+sar: 16.06055906916849
+sar_imp: -51.980784441287454
+stoi: 0.9311142440593033
+stoi_imp: 0.21817376142710482
+```
+
+License notice:
+
+This work "ConvTasNet_Libri2Mix_sepclean_8k" 
+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/). "ConvTasNet_Libri2Mix_sepclean_8k" 
+is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Cosentino Joris.

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