학술논문

Selective-Tap Blind Dereverberation for Two-Microphone Enhancement of Reverberant Speech
Document Type
Periodical
Source
IEEE Signal Processing Letters IEEE Signal Process. Lett. Signal Processing Letters, IEEE. 16(11):961-964 Nov, 2009
Subject
Signal Processing and Analysis
Computing and Processing
Communication, Networking and Broadcast Technologies
Speech enhancement
Reverberation
Microphones
Finite impulse response filter
Signal processing algorithms
Speech coding
Frequency
Filtering
Error correction
Least squares approximation
Blind dereverberation
least-mean-square (LMS)
perceptual evaluation of speech quality (PESQ)
selective-tap filter updating
SIMO-FIR model
Language
ISSN
1070-9908
1558-2361
Abstract
In this letter, we propose a novel approach for two-microphone enhancement of speech corrupted by reverberation. Our approach steers computational resources to filter coefficients having the largest impact on the error surface and therefore only updates a subset of coefficients in every iteration. Experimental results carried out in a realistic reverberant setup indicate that the performance of the proposed algorithm is comparable to the performance of its full-update counterpart.