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Hidden-Markov-Model based speech synthesis in Hungarian

Hidden-Markov-Model based speech synthesis in Hungarian,BÁLINT TÓTH,GÉZA NÉMETH

Hidden-Markov-Model based speech synthesis in Hungarian  
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This paper describes the first application of the Hidden-Markov-Model based text-to-speech synthesis method to the Hun- garian language. The HMM synthesis has numerous favorable features: it can produce high quality speech from a small data- base, theoretically it allows us to change characteristics and style of the speaker and emotion expression may be trained with the system as well.
Published in 2008.
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