| tags: | |
| - asteroid | |
| - audio | |
| - ConvTasNet | |
| - audio-to-audio | |
| datasets: | |
| - LibriMix | |
| - sep_noisy | |
| license: cc-by-sa-4.0 | |
| ## Asteroid model | |
| Imported from this Zenodo [model page](https://zenodo.org/record/4020529). | |
| ## Description: | |
| This model was trained by Takhir Mirzaev using the Librimix/ConvTasNet recipe in Asteroid. | |
| It was trained on the `sep_noisy` task of the Libri3Mix dataset. | |
| ## Training config: | |
| ```yaml | |
| data: | |
| n_src: 3 | |
| sample_rate: 8000 | |
| segment: 3 | |
| task: sep_noisy | |
| train_dir: data/wav8k/min/train-360 | |
| valid_dir: data/wav8k/min/dev | |
| filterbank: | |
| kernel_size: 16 | |
| n_filters: 512 | |
| stride: 8 | |
| masknet: | |
| bn_chan: 128 | |
| hid_chan: 512 | |
| mask_act: relu | |
| n_blocks: 8 | |
| n_repeats: 3 | |
| skip_chan: 128 | |
| optim: | |
| lr: 0.001 | |
| optimizer: adam | |
| weight_decay: 0.0 | |
| positional arguments: | |
| training: | |
| batch_size: 4 | |
| early_stop: True | |
| epochs: 200 | |
| half_lr: True | |
| num_workers: 4 | |
| ``` | |
| ## Results: | |
| ```yaml | |
| si_sdr: 6.824750632456865 | |
| si_sdr_imp: 11.234803761803752 | |
| sdr: 7.715799858488098 | |
| sdr_imp: 11.778681386239114 | |
| sir: 16.442141130818637 | |
| sir_imp: 19.527535070051055 | |
| sar: 8.757864265661263 | |
| sar_imp: -0.15657258049670303 | |
| stoi: 0.7854554136619554 | |
| stoi_imp: 0.22267957718163015 | |
| ``` | |
| ## License notice: | |
| This work "ConvTasNet_Libri3Mix_sepnoisy" | |
| is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by | |
| [Vassil Panayotov](https://github.com/vdp), | |
| used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). | |
| "ConvTasNet_Libri3Mix_sepnoisy" | |
| is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) | |
| by Manuel Pariente. |