Bradford Gillespie, Henrique Malvar, and Dinei Florencio
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.