Speech Dereverberation via Maximum Kurtosis Subband Adaptive Filtering

Bradford Gillespie, Henrique Malvar, and Dinei Florencio

Abstract

This paper presents an efficient algorithm for high-quality speech

capture in applications such as hands-free teleconferencing or

voice recording by personal computers. We process the microphone

signals by a subband adaptive filtering structure using a

modulated complex lapped transform (MCLT), in which the

subband filters are adapted to maximize the kurtosis of the linear

prediction (LP) residual of the reconstructed speech. In this way,

we attain good solutions to the problem of blind speech dereverberation.

Experimental results with actual data, as well as with

artificially difficult reverberant situations, show very good performance,

both in terms of a significant reduction of the perceived

reverberation, as well as improvement in spectral fidelity.

Details

Publication typeInproceedings
Published inICASSP
PublisherIEEE
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