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README.md

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+---
+tags:
+- asteroid
+- audio
+- ConvTasNet
+datasets:
+- Libri2Mix
+- sep_noisy
+license: CC BY-NC 4.0
+inference: false
+---
+
+## Asteroid model `JorisCos/ConvTasNet_Libri2Mix_sepnoisy_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 `sep_noisy` task of the Libri2Mix dataset.
+
+Training config:
+
+```yml
+data:
+    n_src: 2
+    sample_rate: 16000
+    segment: 3
+    task: sep_noisy
+    train_dir: data/wav16k/min/train-360
+    valid_dir: data/wav16k/min/dev
+filterbank:
+    kernel_size: 32
+    n_filters: 512
+    stride: 16
+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
+training:
+    batch_size: 6
+    early_stop: true
+    epochs: 200
+    half_lr: true
+    num_workers: 4
+```
+  
+
+Results:
+
+
+On Libri2Mix min test set :
+```yml
+'si_sdr': 10.617130949793383,
+'si_sdr_imp': 12.551811412989263,
+'sdr': 11.231867464482065,
+'sdr_imp': 13.059765009747343,
+'sir': 24.461138352988346,
+'sir_imp': 24.371856452307703,
+'sar': 11.5649982725426,
+'sar_imp': 4.662525705768228,
+'stoi': 0.8701085138712695,
+'stoi_imp': 0.2245418019822898
+
+```
+
+
+License notice:
+
+This work "ConvTasNet_Libri2Mix_sepnoisy_16k" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov,
+used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures 
+dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only). 
+"ConvTasNet_Libri2Mix_sepnoisy_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino

pytorch_model.bin

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