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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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- Libri2Mix
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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_Libri2Mix_sepclean_8k`
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Imported from [Zenodo](https://zenodo.org/record/3873572#.X9M69cLjJH4)
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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 Libri2Mix dataset.
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Training config:
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```yaml
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data:
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n_src: 2
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sample_rate: 8000
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segment: 3
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task: sep_clean
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train_dir: data/wav8k/min/train-360
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valid_dir: data/wav8k/min/dev
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filterbank:
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kernel_size: 16
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n_filters: 512
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stride: 8
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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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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: 24
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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: 2
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```
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Results :
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On Libri2Mix min test set :
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```yaml
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si_sdr: 14.764543634468069
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si_sdr_imp: 14.764029375607246
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sdr: 15.29337970745095
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sdr_imp: 15.114146605113111
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sir: 24.092904661115366
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sir_imp: 23.913669683141528
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sar: 16.06055906916849
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sar_imp: -51.980784441287454
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stoi: 0.9311142440593033
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stoi_imp: 0.21817376142710482
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```
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License notice:
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This work "ConvTasNet_Libri2Mix_sepclean_8k"
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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_Libri2Mix_sepclean_8k"
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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 sha256:9bf96b1e7adb377592341b965bb9c5a2da2e4a5ab8630a43e1d9cd0f20793252
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size 20331472
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