Asteroid model mpariente/DPRNNTasNet(ks=16)_WHAM!_sepclean
♻️ Imported from https://zenodo.org/record/3903795#.X8pMBRNKjUI
This model was trained by Manuel Pariente using the wham/DPRNN recipe in Asteroid. It was trained on the sep_clean task of the WHAM! dataset.
Demo: How to use in Asteroid
# coming soon
Training config
- data:
- mode: min
- nondefault_nsrc: None
- sample_rate: 8000
- segment: 2.0
- task: sep_clean
- train_dir: data/wav8k/min/tr
- valid_dir: data/wav8k/min/cv
- filterbank:
- kernel_size: 16
- n_filters: 64
- stride: 8
- main_args:
- exp_dir: exp/train_dprnn_ks16/
- help: None
- masknet:
- bidirectional: True
- bn_chan: 128
- chunk_size: 100
- dropout: 0
- hid_size: 128
- hop_size: 50
- in_chan: 64
- mask_act: sigmoid
- n_repeats: 6
- n_src: 2
- out_chan: 64
- optim:
- lr: 0.001
- optimizer: adam
- weight_decay: 1e-05
- positional arguments:
- training:
- batch_size: 6
- early_stop: True
- epochs: 200
- gradient_clipping: 5
- half_lr: True
- num_workers: 6
Results
si_sdr
: 18.227683982688003si_sdr_imp
: 18.22883576588251sdr
: 18.617789605060587sdr_imp
: 18.466745426438173sir
: 29.22773720052717sir_imp
: 29.07669302190474sar
: 19.116352171914485sar_imp
: -130.06009796503054stoi
: 0.9722025377865715stoi_imp
: 0.23415680987800583
Citing Asteroid
@inproceedings{Pariente2020Asteroid,
title={Asteroid: the {PyTorch}-based audio source separation toolkit for researchers},
author={Manuel Pariente and Samuele Cornell and Joris Cosentino and Sunit Sivasankaran and
Efthymios Tzinis and Jens Heitkaemper and Michel Olvera and Fabian-Robert Stöter and
Mathieu Hu and Juan M. Martín-Doñas and David Ditter and Ariel Frank and Antoine Deleforge
and Emmanuel Vincent},
year={2020},
booktitle={Proc. Interspeech},
}
Or on arXiv:
@misc{pariente2020asteroid,
title={Asteroid: the PyTorch-based audio source separation toolkit for researchers},
author={Manuel Pariente and Samuele Cornell and Joris Cosentino and Sunit Sivasankaran and Efthymios Tzinis and Jens Heitkaemper and Michel Olvera and Fabian-Robert Stöter and Mathieu Hu and Juan M. Martín-Doñas and David Ditter and Ariel Frank and Antoine Deleforge and Emmanuel Vincent},
year={2020},
eprint={2005.04132},
archivePrefix={arXiv},
primaryClass={eess.AS}
}
- Downloads last month
- 122
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.