- Deep Clustering
- Chimera Net
- Chimera++
- Phase Estimation Network
- Speech Enhancement with Restoration Layers
- Wsj0-2mix (http://www.merl.com/demos/deep-clustering)
- Daps (https://archive.org/details/daps_dataset)
- Edinburgh-TTS (https://datashare.is.ed.ac.uk/handle/10283/2791)
- PyTorch
- LibRosa
- NumPy
You can simply use the existing config JSON file or customize your config file to train the enhancement or separation model.
python train.py -c configs/dc_config.json
If you use onssen for your research project, please cite one of the following bibtex citations:
@inproceedings {onssen,
author = {Zhaoheng Ni and Michael Mandel},
title = "ONSSEN: An Open-source Speech Separation and Enhancement Library",
publisher = "under review",
year = 2019
}
@Misc{onssen,
author = {Zhaoheng Ni and Michael Mandel},
title = "ONSSEN: An Open-source Speech Separation and Enhancement Library",
howpublished = {\url{https://github.com/speechLabBcCuny/onssen}},
year = {2019}
}