Publication
IEEE TPAMI
Paper

A Maximum Likelihood Approach to Continuous Speech Recognition

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Abstract

Speech recognition is formulated as a problem of maximum likelihood decoding. This formulation requires statistical models of the speech production process. In this paper, we describe a number of statistical models for use in speech recognition. We give special attention to determining the parameters for such models from sparse data. We also describe two decoding methods, one appropriate for constrained artificial languages and one appropriate for more realistic decoding tasks. To illustrate the usefulness of the methods described, we review a number of decoding results that have been obtained with them. Copyright © 1983 by The Institute of Electrical and Electronics Engineers, Inc.

Date

01 Jan 1983

Publication

IEEE TPAMI