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README.md

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+---
+tags:
+- asteroid
+- audio
+- ConvTasNet
+datasets:
+- libri1mix
+- enh_single
+license: cc-by-sa-3.0
+inference: false
+---
+
+## Asteroid model `mhu-coder/ConvTasNet_Libri1Mix_enhsingle`
+Imported from [Zenodo](https://zenodo.org/record/4301955#.X9cj98Jw0bY)
+
+### Description:
+This model was trained by Mathieu Hu using the librimix/ConvTasNet recipe in
+[Asteroid](https://github.com/asteroid-team/asteroid).
+It was trained on the `enh_single` task of the Libri1Mix dataset. 
+
+### Training config:
+```yaml
+data:
+    n_src: 1
+    sample_rate: 16000
+    segment: 3
+    task: enh_single
+    train_dir: data/wav16k/min/train-100
+    valid_dir: data/wav16k/min/dev
+filterbank:
+    kernel_size: 16
+    n_filters: 512
+    stride: 8
+main_args:
+    exp_dir: exp/train_convtasnet_f34664b9
+    help: None
+masknet:
+    bn_chan: 128
+    hid_chan: 512
+    mask_act: relu
+    n_blocks: 8
+    n_repeats: 3
+    n_src: 1
+    skip_chan: 128
+optim:
+    lr: 0.001
+    optimizer: adam
+    weight_decay: 0.0
+positional arguments:
+training:
+    batch_size: 2
+    early_stop: True
+    epochs: 200
+    half_lr: True
+    num_workers: 4
+```
+
+### Results:
+```yaml
+si_sdr: 13.938355526049932
+si_sdr_imp: 10.488574220190232
+sdr: 14.567380104207393
+sdr_imp: 11.064717304994337
+sir: inf
+sir_imp: nan
+sar: 14.567380104207393
+sar_imp: 11.064717304994337
+stoi: 0.9201010933251715
+stoi_imp: 0.1241812697846321 
+```
+
+### License notice:
+This work "ConvTasNet_Libri1Mx_enhsingle" is a derivative of [CSR-I (WSJ0) Complete](https://catalog.ldc.upenn.edu/LDC93S6A)
+by [LDC](https://www.ldc.upenn.edu/), used under [LDC User Agreement for 
+Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf) (Research only). 
+"ConvTasNet_Libri1Mix_enhsingle" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
+by Mathieu Hu.

pytorch_model.bin

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