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

作者：Champion Colin^*; Houghton S M

来源：Computer Speech and Language, 2016, 36: 347-364.

DOI：10.1016/j.csl.2015.05.001

• Speech recognition
• Hidden Markov Model
• Recognition by synthesis

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. Lang. Speech 7 (1964)).

• 出版日期2016-3