MARKOV
MODELS IN THE PROBLEM OF THE SPEECH PARAMETRIZATION
D. E. Prozorov, K. V. Pletnev
Federal Government-financed Educational Institution of Higher
Professional Education
«Vyatka State University» (FGEI HPE “VyatSU”)
Federal Government-financed Educational Institution of Higher
Professional Education
“Vyatka State University of Humanities”
The paper is received on June 2, 2014
Abstract:
The article investigates the possibility of using of the speech
parameterization methods by simple and complex (multivariable) Markov chains in
systems of automatic recognition of commands (ARC). It is shown that the speech
parametrization by multivariable Markov chains allows to reach a compromise
between the efficiency of speech recognition commands and computational
complexity of the algorithm parameterization. Low computational complexity
Markov parameterization indicate the possibility of a significant reduction in
requirements for computational complexity of ARC.
Key words:
speech recognition, parameterization, multivariate Markov chain.