Development of HMM-based Malay Text-to-Speech System

Zhizheng Wu, E. S. Chng, Haizhou Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the development of a hidden Markov model (HMM)-based Malay text-to-speech (TTS) system. To our knowledge, this is the first report on the development of the HMM-based speech synthesis system for the Malay language. In this paper, We first discuss the Malay speech characteristics, specifically, on Malay phonological system and syllable structure.
In the Malay phonological system, 37 phonemes are adopted as the phonemic representations. Then, we describe a HMM-based TTS framework and language specific knowledge such as phonological, linguistic information, and utterance structure,which is used in context dependent continuous HMM and tree-based clustering. After that, we report the development of Malay TTS corpora. Finally, a male and a female HMM-based Malay TTS systems are developed and evaluated. We further conduct listening test based on the Mean Opinion Score (MOS), and the results show that the developed HMM-based Malay TTS system can generate speech with acceptable quality in terms of naturalness and intelligibility.
Original languageEnglish
Title of host publicationProceedings of the Second APSIPA Annual Summit and Conference
Pages494-497
Number of pages4
Publication statusPublished - 2010

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