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README.md

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+### Description:
+This model was trained by Manuel Pariente 
+using the wham/ConvTasNet recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
+It was trained on the `sep_clean` task of the WHAM! dataset.
+
+### Training config:
+```yaml
+data:
+    n_src: 2
+    mode: min
+    nondefault_nsrc: None
+    sample_rate: 8000
+    segment: 3
+    task: sep_clean
+    train_dir: data/wav8k/min/tr/
+    valid_dir: data/wav8k/min/cv/
+filterbank:
+    kernel_size: 16
+    n_filters: 512
+    stride: 8
+main_args:
+    exp_dir: exp/wham
+    gpus: -1
+    help: None
+masknet:
+    bn_chan: 128
+    hid_chan: 512
+    mask_act: relu
+    n_blocks: 8
+    n_repeats: 3
+    n_src: 2
+    skip_chan: 128
+optim:
+    lr: 0.001
+    optimizer: adam
+    weight_decay: 0.0
+positional arguments:
+training:
+    batch_size: 24
+    early_stop: True
+    epochs: 200
+    half_lr: True
+    num_workers: 4
+```
+
+### Results:
+```yaml
+si_sdr: 16.21326632846293
+si_sdr_imp: 16.21441705664987
+sdr: 16.615180021738933
+sdr_imp: 16.464137807433435
+sir: 26.860503975131923
+sir_imp: 26.709461760826414
+sar: 17.18312813480803
+sar_imp: -131.99332048277296
+stoi: 0.9619940905157323
+stoi_imp: 0.2239480672473015
+```
+
+### License notice:
+This work "ConvTasNet_WHAM!_sepclean" 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_WHAM!_sepclean" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
+by Manuel Pariente.

pytorch_model.bin

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