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36

CSL
2016
Springer

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Application of continuous state Hidden Markov Models to a classical problem in speech recognition

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Application of continuous state Hidden Markov Models to a classical problem in speech recognition

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This paper describes an optimal algorithm using continuous state Hidden Markov Models for solving the HMS decoding problem, which is the problem of recovering an underlying sequence of phonetic units from measurements of smoothly varying acoustic features, thus inverting the speech generation process described by Holmes, Mattingly and Shearme in a well known paper (Speech synthesis by rule, Language and Speech 7 (1964)).

Colin J. Champion, S. M. Houghton

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Added	01 Apr 2016
Updated	01 Apr 2016
Type	Journal
Year	2016
Where	CSL
Authors	Colin J. Champion, S. M. Houghton

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