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@@ -4,4 +4,69 @@ tags:
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  inference: false
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  ---
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  This is an Audacity wrapper for the model, forked from the repository mpariente/ConvTasNet_WHAM_sepclean,
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- This model was trained using the Asteroid library: https://github.com/asteroid-team/asteroid.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  inference: false
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  ---
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  This is an Audacity wrapper for the model, forked from the repository mpariente/ConvTasNet_WHAM_sepclean,
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+ This model was trained using the Asteroid library: https://github.com/asteroid-team/asteroid.
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+
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+ The following info was copied from `mpariente/ConvTasNet_WHAM_sepclean`:
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+
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+ ### Description:
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+ This model was trained by Manuel Pariente
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+ using the wham/ConvTasNet recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
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+ It was trained on the `sep_clean` task of the WHAM! 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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+ mode: min
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+ nondefault_nsrc: None
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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/tr/
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+ valid_dir: data/wav8k/min/cv/
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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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+ main_args:
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+ exp_dir: exp/wham
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+ gpus: -1
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+ help: None
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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: 2
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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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+ positional arguments:
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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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+ ```yaml
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+ si_sdr: 16.21326632846293
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+ si_sdr_imp: 16.21441705664987
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+ sdr: 16.615180021738933
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+ sdr_imp: 16.464137807433435
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+ sir: 26.860503975131923
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+ sir_imp: 26.709461760826414
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+ sar: 17.18312813480803
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+ sar_imp: -131.99332048277296
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+ stoi: 0.9619940905157323
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+ stoi_imp: 0.2239480672473015
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+ ```
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+ ### License notice:
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+ This work "ConvTasNet_WHAM!_sepclean" is a derivative of [CSR-I (WSJ0) Complete](https://catalog.ldc.upenn.edu/LDC93S6A)
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+ by [LDC](https://www.ldc.upenn.edu/), used under [LDC User Agreement for
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+ Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf) (Research only).
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+ "ConvTasNet_WHAM!_sepclean" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
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+ by Manuel Pariente.