Maximum likelihood sub-band weighting for robust speech recognition

Abstract

Sub-band speech recognition approaches have been proposed for robust speech recognition, where full-band power spectra are divided into several sub-bands and then likelihoods or cepstral vectors of the sub-bands are merged depending on their reliability. In conventional sub-band approaches, correlations across the sub-bands are not modeled and the merging… (More)

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