---
tags:
- asteroid
- audio
- ConvTasNet
datasets:
- Libri2Mix
- sep_noisy
license: CC BY-NC 4.0
inference: false
---

## Asteroid model `JorisCos/ConvTasNet_Libri2Mix_sepnoisy_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_noisy` task of the Libri2Mix dataset.

Training config:

```yml
data:
    n_src: 2
    sample_rate: 16000
    segment: 3
    task: sep_noisy
    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: 2
    skip_chan: 128
optim:
    lr: 0.001
    optimizer: adam
    weight_decay: 0.0
training:
    batch_size: 6
    early_stop: true
    epochs: 200
    half_lr: true
    num_workers: 4
```
  

Results:


On Libri2Mix min test set :
```yml
'si_sdr': 10.617130949793383,
'si_sdr_imp': 12.551811412989263,
'sdr': 11.231867464482065,
'sdr_imp': 13.059765009747343,
'sir': 24.461138352988346,
'sir_imp': 24.371856452307703,
'sar': 11.5649982725426,
'sar_imp': 4.662525705768228,
'stoi': 0.8701085138712695,
'stoi_imp': 0.2245418019822898

```


License notice:

This work "ConvTasNet_Libri2Mix_sepnoisy_16k" 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_Libri2Mix_sepnoisy_16k" is licensed under Attribution-ShareAlike 3.0 Unported by Joris Cosentino