HIDDEN MARKOV MODELS-BASED RUSSIAN SPEECH SYNTHESIS

P. . Chistikov


Read the full article 

Abstract

This paper presents the approach to speech synthesis based on hidden Markov models for the Russian language. State clusterization algorithm is used to improve the flexibility of the system. The scheme of excitation generation is also presented.


Keywords: speech synthesis, hidden Markov models, speech parameterization, data clusterization
Copyright 2001-2017 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.
All rights reserved.

Яндекс.Метрика