Croatian HMM-based Speech Synthesis

Sandra Martincic-Ipsic, Ivo Ipsic

Abstract


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.

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

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