ICASSP 2022accepted0 citations
Toward mmWave-Based Sound Enhancement and Separation
Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, K. J. Ray Liu
Abstract
Speech enhancement and separation have been a long-standing problem with recent advances using a single microphone. With the help of video modality, improvements have been shown for these tasks. In this work, we explore a multimodal approach using mmWave radio devices, as these devices can measure vocal folds vibration. Thorough data collection and extensive experiments with two different neural networks indicate that radio modality can bring significant improvements in speech enhancement and separation.
BibTeX
@inproceedings{icassp2022_towardmmwavebase,
title = {Toward mmWave-Based Sound Enhancement and Separation},
author = {Muhammed Zahid Ozturk and Chenshu Wu and Beibei Wang and K. J. Ray Liu},
booktitle = {ICASSP 2022},
year = {2022}
}