Paper Info
Title
Real-Time Dual-Channel Speech Enhancement By Vad Assisted Mvdr Beamformer For Hearing Aid Applications Using Smartphone
Abstract
In this paper, a dual-channel speech enhancement (SE) method is proposed. The proposed method is a combination of minimum variance distortionless response (MVDR) beamformer and a super-Gaussian joint maximum a posteriori (SGJMAP) based SE gain function. The proposed SE method runs on a smartphone in real-time, providing a portable device for hearing aid (HA) applications. Spectral Flux based voice activity detector (VAD) is used to improve the accuracy of the beamformer output. The efficiency of the proposed SE method is evaluated using speech quality and intelligibility measures and compared with that of other SE techniques. The objective and subjective test results show the capability of the proposed SE method in three different noisy conditions at low signal to noise ratios (SNRs) of -5, 0, and +5 dB.
Year
DOI
Venue
2020
10.1109/EMBC44109.2020.9175212
42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20
Keywords
DocType
Volume
Speech Enhancement, MVDR, Beamforming, Hearing aids, Smartphone, super-Gaussian, VAD
Conference
2020
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Nikhil Shankar100.34
Gautam Shreedhar Bhat200.34
Issa M. S. Panahi34914.53