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README.md
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---
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tags:
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- asteroid
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- audio
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- ConvTasNet
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datasets:
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- Libri3Mix
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- sep_clean
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license: CC BY-NC 4.0
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inference: false
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---
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## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_sepclean_16k`
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Description:
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This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
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It was trained on the `sep_clean` task of the Libri3Mix dataset.
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Training config:
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```yaml
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data:
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n_src: 3
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sample_rate: 16000
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segment: 3
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task: sep_clean
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train_dir: data/wav16k/min/train-360
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valid_dir: data/wav16k/min/dev
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filterbank:
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kernel_size: 32
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n_filters: 512
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stride: 16
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masknet:
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bn_chan: 128
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hid_chan: 512
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mask_act: relu
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n_blocks: 8
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n_repeats: 3
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n_src: 3
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skip_chan: 128
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optim:
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lr: 0.001
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optimizer: adam
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weight_decay: 0.0
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training:
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batch_size: 8
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early_stop: true
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epochs: 200
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half_lr: true
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num_workers: 4
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```
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Results :
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On Libri3Mix min test set :
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```yaml
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'si_sdr': 8.932601610824145,
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'si_sdr_imp': 12.299341066588594,
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'sdr': 9.557260814240447,
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'sdr_imp': 12.76957128385349,
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'sir': 17.387646884037455,
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'sir_imp': 20.599955591768484,
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'sar': 10.686885056960504,
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'sar_imp': -55.8894643263213,
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'stoi': 0.8481258332025354,
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'stoi_imp': 0.25528367853750356
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```
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License notice:
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This work "ConvTasNet_Libri3Mix_sepclean_16k"
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is a derivative of LibriSpeech ASR corpus by Vassil Panayotov,
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used under CC BY 4.0. "ConvTasNet_Libri3Mix_sepclean_16k"
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is licensed under Attribution-ShareAlike 3.0 Unported by Cosentino Joris.
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d6d512bf70fde36d2bcce4fc9873d823f4db278b95fee7107862141d9eaf75a9
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size 20658832
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