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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_noisy
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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_sepnoisy_8k`
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Imported from [Zenodo](https://zenodo.org/record/3874420#.X9I6NcLjJH4)
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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_noisy` task of the Libri2Mix dataset.
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Training config:
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```yml
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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_noisy
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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: 4
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```
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Results:
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On Libri2Mix min test set :
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```yml
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si_sdr: 9.944424856077259
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si_sdr_imp: 11.939395359731192
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sdr: 10.701526190782072
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sdr_imp: 12.481757547845662
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sir: 22.633644975545575
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sir_imp: 22.45666740833025
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sar: 11.131644100944868
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sar_imp: 4.248489589311784
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stoi: 0.852048619949357
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stoi_imp: 0.2071994899565506
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```
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License notice:
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This work "ConvTasNet_Libri2Mix_sepnoisy_8k" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov,
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used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures
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dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only).
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"ConvTasNet_Libri2Mix_sepnoisy_8k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:582baf5d5fdf1735ddfccbfa5fdd2e52bb23dfd814497bc1a185ec2c90441bb4
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size 20331984
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