mpariente/DPRNNTasNet(ks=16)_WHAM!_sepclean♻️ 从 https://zenodo.org/record/3903795#.X8pMBRNKjUI 导入
该模型由 Manuel Pariente 使用 Asteroid 中的 wham/DPRNN 方案训练而成。它在 WHAM! 数据集的 sep_clean 任务上进行了训练。
# coming soonsi_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@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},
}或在 arXiv 上：
@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}
}