ECTI TRANSACTIONS ON COMPUTER INFORMATION TECHNOLOGY

Volume 12, No. 02, Month NOVEMBER, Year 2018, Pages 81 - 89

Isarn dialect speech synthesis using hmm with syllable-context features

Pongsathon Janyoi, Pusadee Seresangtakul

Abstract Download PDF

This paper describes the Isarn speech synthesis system, which is a regional dialect spoken in the Northeast of Thailand. In this study, we focus to improve the prosody generation of the system by using the additional context features. In order to develop the system, the speech parameters (Mel-ceptrum and fundamental frequencies of phoneme within different phonetic contexts) were modelled using Hidden Markov Models (HMM). Synthetic speech was generated by converting the input text into contextdependent phonemes. Speech parameters were generated from the trained HMM, according to the context-dependent phonemes, and were then synthesized through a speech vocoder.Etc...

Keywords

Text-to-speech, speech synthesis, HMM, Isarn

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