Paper Info
Title
Analysis Of Beamformer Directed Single-Channel Noise Reduction System For Hearing Aid Applications
Abstract
We study multi-microphone noise reduction systems consisting of a beamformer and a single-channel (SC) noise reduction stage. In particular, we present and analyse a maximum likelihood (ML) method for jointly estimating the target and noise power spectral densities (psd's) entering the SC filter. We show that the estimators are minimum variance and unbiased, and provide closed-form expressions for their mean-square error (MSE). Furthermore, we show that the MSE of the noise psd estimator is particularly simple: it is independent of target signal characteristics, frequency, and microphone locations. In a hearing aid context, we analyze the performance of the estimators as a function of target angle-of-arrival and frequency. Finally, we demonstrate the advantage of the proposed method in a hearing aid situation with a target speaker in large-crowd noise.
Year
DOI
Venue
2015
10.1109/ICASSP.2015.7179069
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
Power spectral density estimation, multi-microphone speech enhancement, noise reduction for hearing aids
Noise reduction,Minimum-variance unbiased estimator,Noise power,Noise measurement,Computer science,Hearing aid,Speech recognition,Gaussian noise,Noise,Estimator
Conference
ISSN
Citations 
PageRank 
1520-6149
4
0.52
References 
Authors
12
2
Name
Order
Citations
PageRank
Jesper Jensen11548133.47
Michael Syskind Pedersen28111.33