Conference
Blind Deconvolution Using Bayesian Methods with Application to the Dereverberation of Speech
Abstract
A blind deconvolution algorithm is presented to address the problem of the dereverberation of speech. A Bayesian algorithm is developed for estimating the source, and the problem of ill-conditioning due to long tails of an acoustic impulse response (AIR) is avoided by marginalizing out the unknown channel parameters. The initial samples of the MAP estimate are determined using a stochastic MCMC technique, and these estimates are then used in a …
Authors
Daly MJ; Reilly LP
Volume
2
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2004
DOI
10.1109/icassp.2004.1326431
Name of conference
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing