ECTI TRANSACTIONS ON COMPUTER INFORMATION TECHNOLOGYVolume 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 PDFThis 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...
Text-to-speech, speech synthesis, HMM, Isarn