| tags: | |
| - asteroid | |
| - audio | |
| - ConvTasNet | |
| - audio-to-audio | |
| datasets: | |
| - Libri3Mix | |
| - sep_clean | |
| license: cc-by-sa-4.0 | |
| ## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_sepclean_16k` | |
| Description: | |
| This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid). | |
| It was trained on the `sep_clean` task of the Libri3Mix dataset. | |
| Training config: | |
| ```yaml | |
| data: | |
| n_src: 3 | |
| sample_rate: 16000 | |
| segment: 3 | |
| task: sep_clean | |
| train_dir: data/wav16k/min/train-360 | |
| valid_dir: data/wav16k/min/dev | |
| filterbank: | |
| kernel_size: 32 | |
| n_filters: 512 | |
| stride: 16 | |
| masknet: | |
| bn_chan: 128 | |
| hid_chan: 512 | |
| mask_act: relu | |
| n_blocks: 8 | |
| n_repeats: 3 | |
| n_src: 3 | |
| skip_chan: 128 | |
| optim: | |
| lr: 0.001 | |
| optimizer: adam | |
| weight_decay: 0.0 | |
| training: | |
| batch_size: 8 | |
| early_stop: true | |
| epochs: 200 | |
| half_lr: true | |
| num_workers: 4 | |
| ``` | |
| Results : | |
| On Libri3Mix min test set : | |
| ```yaml | |
| si_sdr: 8.932601610824145 | |
| si_sdr_imp: 12.299341066588594 | |
| sdr: 9.557260814240447 | |
| sdr_imp: 12.76957128385349 | |
| sir: 17.387646884037455 | |
| sir_imp: 20.599955591768484 | |
| sar: 10.686885056960504 | |
| sar_imp: -55.8894643263213 | |
| stoi: 0.8481258332025354 | |
| stoi_imp: 0.25528367853750356 | |
| ``` | |
| License notice: | |
| This work "ConvTasNet_Libri3Mix_sepclean_16k" | |
| is a derivative of [LibriSpeech ASR corpus](http://www.openslr.org/12) by Vassil Panayotov, | |
| used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). "ConvTasNet_Libri3Mix_sepclean_16k" | |
| is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) by Cosentino Joris. |