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README.md

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+---
+tags:
+- asteroid
+- audio
+- ConvTasNet
+datasets:
+- Libri3Mix
+- sep_noisy
+license: CC BY-NC 4.0
+inference: false
+---
+
+## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_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 Libri3Mix  dataset.
+
+Training config:
+
+```yml
+data:
+  n_src: 3
+  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: 3
+  skip_chan: 128
+optim:
+  lr: 0.001
+  optimizer: adam
+  weight_decay: 0.0
+training:
+  batch_size: 8
+  early_stop: true
+  epochs: 200
+  half_lr: true
+  num_workers: 4
+```
+  
+
+Results:
+
+On Libri3Mix min test set :
+```yml
+'si_sdr': 5.926151147554517,
+'si_sdr_imp': 10.282912158535625,
+'sdr': 6.700975236867358,
+'sdr_imp': 10.882972447337504,
+'sir': 15.364110064569388,
+'sir_imp': 18.574476587171688,
+'sar': 7.918866830474568,
+'sar_imp': -0.9638973409971135,
+'stoi': 0.7713777027310713,
+'stoi_imp': 0.2078696167973911
+```
+
+
+License notice:
+
+This work "ConvTasNet_Libri3Mix_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_Libri3Mix_sepnoisy_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino

pytorch_model.bin

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