This repo is only dedicated to the post-processing PCS.

Introduction
PCS-tools
SpeechMetrics-tools
Citation
References

"PCS is derived based on the critical band importance function and applied to modify the targets of the SE model."
"It can also be used as a post-processing (PP) method to further sharpen the structure of enhanced speech and suppress residual noise."

More details can be found in here: http://arxiv.org/abs/2203.17152 (Preprint arXiv; Accepted by INTERSPEECH 2022)

This repo is only dedicated to the post-processing PCS.

Enhanced audios are generated by different baseline models to which post-processing PCS is then applied.
The experimental results are as follows:

Some examples are shown below:

Post-processing PCS tools can be found at /PCS folder.
So you can simply post-process the audio with PCS.

Speech metric scores were computed with /speech_metrics.

https://lojoffy-pcs-online-demo-main-luu0rc.streamlitapp.com/

If you find the code useful in your research, please cite:

@article{chao2022perceptual,
  title={Perceptual Contrast Stretching on Target Feature for Speech Enhancement},
  author={Chao, Rong and Yu, Cheng and Fu, Szu-Wei and Lu, Xugang and Tsao, Yu},
  journal={Proc. of INTERSPEECH},
  year={2022}
}

arXiv: https://arxiv.org/pdf/1703.09452.pdf

wikipedia: https://en.wikipedia.org/wiki/Wiener_filter

arXiv: https://arxiv.org/pdf/2006.10296.pdf

arXiv: https://arxiv.org/pdf/1805.00579.pdf

arXiv: https://arxiv.org/pdf/2104.03538.pdf
From SpeechBrain: https://huggingface.co/speechbrain/metricgan-plus-voicebank

arXiv: https://arxiv.org/pdf/2104.13002.pdf
Reproduced and denoted as DPT*