1.95 kB
| --- | |
| tags: | |
| - audacity | |
| inference: false | |
| --- | |
| This is an Audacity wrapper for the model, forked from the repository mpariente/ConvTasNet_WHAM_sepclean, | |
| This model was trained using the Asteroid library: https://github.com/asteroid-team/asteroid. | |
| The following info was copied from `mpariente/ConvTasNet_WHAM_sepclean`: | |
| ### Description: | |
| This model was trained by Manuel Pariente | |
| using the wham/ConvTasNet recipe in [Asteroid](https://github.com/asteroid-team/asteroid). | |
| It was trained on the `sep_clean` task of the WHAM! dataset. | |
| ### Training config: | |
| ```yaml | |
| data: | |
| n_src: 2 | |
| mode: min | |
| nondefault_nsrc: None | |
| sample_rate: 8000 | |
| segment: 3 | |
| task: sep_clean | |
| train_dir: data/wav8k/min/tr/ | |
| valid_dir: data/wav8k/min/cv/ | |
| filterbank: | |
| kernel_size: 16 | |
| n_filters: 512 | |
| stride: 8 | |
| main_args: | |
| exp_dir: exp/wham | |
| gpus: -1 | |
| help: None | |
| masknet: | |
| bn_chan: 128 | |
| hid_chan: 512 | |
| mask_act: relu | |
| n_blocks: 8 | |
| n_repeats: 3 | |
| n_src: 2 | |
| skip_chan: 128 | |
| optim: | |
| lr: 0.001 | |
| optimizer: adam | |
| weight_decay: 0.0 | |
| positional arguments: | |
| training: | |
| batch_size: 24 | |
| early_stop: True | |
| epochs: 200 | |
| half_lr: True | |
| num_workers: 4 | |
| ``` | |
| ### Results: | |
| ```yaml | |
| si_sdr: 16.21326632846293 | |
| si_sdr_imp: 16.21441705664987 | |
| sdr: 16.615180021738933 | |
| sdr_imp: 16.464137807433435 | |
| sir: 26.860503975131923 | |
| sir_imp: 26.709461760826414 | |
| sar: 17.18312813480803 | |
| sar_imp: -131.99332048277296 | |
| stoi: 0.9619940905157323 | |
| stoi_imp: 0.2239480672473015 | |
| ``` | |
| ### License notice: | |
| This work "ConvTasNet_WHAM!_sepclean" is a derivative of [CSR-I (WSJ0) Complete](https://catalog.ldc.upenn.edu/LDC93S6A) | |
| by [LDC](https://www.ldc.upenn.edu/), used under [LDC User Agreement for | |
| Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf) (Research only). | |
| "ConvTasNet_WHAM!_sepclean" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/) | |
| by Manuel Pariente. |