Multi-channel noise reduction for hands-free voice communication on mobile phones
Wenyu Jin, Mohammad Javad Taghizadeh, Kainan Chen, Wei Xiao
Abstract
Noise reduction technologies have been applied to enhance the intelligibility of voice communications. However, existing methods are vulnerable to complex non-stationary noisy conditions, which are commonly encountered in real world hands-free scenarios. Additionally, the existing methods do not fully take the advantage of the deployment of multi-channel microphone arrays on the burgeoning high-end mobile phones. In this paper, we propose a noise estimation method based on a hybrid of efficient single channel and globally optimized multi-channel microphone noise estimation using adaptive noise coherence models. Evaluation results on real-world recordings collected via a smartphone confirm its superior effectiveness to suppress the fast-varying noises compared to the state-of-the-art baseline methods.
BibTeX
@inproceedings{icassp2017_multichannelnois,
title = {Multi-channel noise reduction for hands-free voice communication on mobile phones},
author = {Wenyu Jin and Mohammad Javad Taghizadeh and Kainan Chen and Wei Xiao},
booktitle = {ICASSP 2017},
year = {2017}
}