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https://doi.org/10.2498/cit.2006.04.06

Croatian HMM-based Speech Synthesis

Ivo Ipsic
Sandra Martincic-Ipsic


Puni tekst: engleski pdf 561 Kb

str. 307-313

preuzimanja: 974

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Sažetak

The paper describes the development of a trainable speech synthesis system, based on hidden Markov models. An approach to speech signal generation using a source-filter model is presented. Inputs into the synthesis system are speech utterances and their phone level transcriptions. A method using context-dependent acoustic models and Croatian phonetic rules for speech synthesis is proposed. Croatian HMM-based speech synthesis experiments are presented and generated speech results are discussed.

Ključne riječi

Hrčak ID:

44646

URI

https://hrcak.srce.hr/44646

Datum izdavanja:

30.12.2006.

Posjeta: 1.539 *