Croatian HMM-based Speech Synthesis
Copyright policy )Croatian HMM-based Speech Synthesis
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.
- University of Rijeka Croatia
- University of Rijeka Croatia
- SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA Croatia
corpus based speech synthesis, context-dependent acoustic modelling, hidden Markov models, corpus based speech synthesis; hidden Markov models; context-dependent acoustic modelling; Croatian speech corpora, Croatian speech corpora
corpus based speech synthesis, context-dependent acoustic modelling, hidden Markov models, corpus based speech synthesis; hidden Markov models; context-dependent acoustic modelling; Croatian speech corpora, Croatian speech corpora
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