Speech Recognizer Based Maximum Likelihood Beamforming

Abstract

In this paper we present a speech-recognizer-based maximum-likelihood beamforming technique, that can be used both for signal enhancement and speaker separation. The presented techniques uses an HMM-based speech recognizer as a statistical model for the target signal to be enhanced or separated. The parameters of a filter-and-sum array processor are… (More)

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