HIDDEN MARKOV MODELS-BASED RUSSIAN SPEECH SYNTHESIS
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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.
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