---
tags:
- asteroid
- audio
- ConvTasNet
datasets:
- Libri3Mix
- sep_noisy
license: CC BY-NC 4.0
inference: false
---

## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_sepnoisy_8k`

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_noisy` task of the Libri3Mix  dataset.

Training config:

```yml
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
  n_src: 3
  skip_chan: 128
optim:
  lr: 0.001
  optimizer: adam
  weight_decay: 0.0
training:
  batch_size: 24
  early_stop: true
  epochs: 200
  half_lr: true
  num_workers: 4
```
  

Results:

On Libri3Mix min test set :
```yml
'si_sdr': 5.978836560066222,
'si_sdr_imp': 10.388889689413096,
'sdr': 6.8651365291740225,
'sdr_imp': 10.928018056925016,
'sir': 14.997089638783114,
'sir_imp': 18.08248357801549,
'sar': 8.127504792061933,
'sar_imp': -0.7869320540959925,
'stoi': 0.7669414686111115,
'stoi_imp': 0.20416563213078837
```


License notice:

This work "ConvTasNet_Libri3Mix_sepnoisy_8k" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov,
used under CC BY 4.0; of The WSJ0 Hipster Ambient Mixtures 
dataset by Whisper.ai, used under CC BY-NC 4.0 (Research only). 
"ConvTasNet_Libri3Mix_sepnoisy_8k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino