Software Open Access
Cosentino/ConvTasNet_LibriMix_sep_clean
Cosentino Joris
Description:
This model was trained by Joris Cosentino using the librimix recipe in Asteroid. It was trained on the sep_clean task of the LibriMix dataset.
Training config:
- data:
- n_src: 2
- sample_rate: 8000
- segment: 3
- task: sep_clean
- 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: 24
- early_stop: True
- epochs: 200
- half_lr: True
- num_workers: 2
Results:
- si_sdr: 14.764543634468069
- si_sdr_imp: 14.764029375607246
- sdr: 15.29337970745095
- sdr_imp: 15.114146605113111
- sir: 24.092904661115366
- sir_imp: 23.913669683141528
- sar: 16.06055906916849
- sar_imp: -51.980784441287454
- stoi: 0.9311142440593033
- stoi_imp: 0.21817376142710482
License notice:
This work "ConvTasNet_Librisep_cleanMix_sepclean" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0. "ConvTasNet_Librisep_cleanMix_sepclean" is licensed under Attribution-ShareAlike 3.0 Unported by Cosentino Joris.
484
188
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 484 | 484 |
| Downloads | 188 | 188 |
| Data volume | 3.8 GB | 3.8 GB |
| Unique views | 432 | 432 |
| Unique downloads | 183 | 183 |
Indexed in
- Publication date:
- June 2, 2020
- DOI:
-
- Keyword(s):
- Asteroid audio source separation Librisep_cleanMix sep_clean ConvTasNet pretrained model
- Communities:
- License (for files):
- Other (Attribution)