Chaw Su Hlaing

Work place: Artificial Intelligence Lab, Faculty of Computer Science, University of Computer Studies, Mandalay, Myanmar

E-mail: chawsuhlaing.ucsm.mm@gmail.com

Website:

Research Interests: Natural Language Processing, Data Mining, World Wide Web, Data Structures and Algorithms

Biography

Chaw Su Hlaing is a Ph.D. student at Artificial Intelligence Lab, Faculty of Computer Science, University of Computer Studies, Mandalay and Myanmar. She had received her B.C.Sc. and M.C.Sc. from Faculty of Computer Science, University of Computer Studies, Mandalay and Myanmar. Her current research interests are Web Data Mining, Digital Signal Processing, Natural Language Processing and Linguistic Research. She is currently working in the research of Speech Synthesis for Myanmar language.

Author Articles
Phoneme Concatenation Method for Myanmar Speech Synthesis System

By Chaw Su Hlaing Aye Thida

DOI: https://doi.org/10.5815/ijitcs.2018.12.02, Pub. Date: 8 Dec. 2018

This paper discusses the approach used to develop a Text-to-Speech (TTS) synthesis system for the Myanmar language. Concatenative method has been used to develop this TTS system using phoneme as the basic units for concatenation. In this proposed system, phoneme plays an important role so that Myanmar phoneme inventory is presented in detail. In Myanmar language, schwa is the only vowel that is allowed in a minor syllable or consonant that has half-sound of the original one. If these half sound can be handled, the TTS quality will be high. After analyzing the number of phoneme and half-sound consonant to be recorded, create the Myanmar phoneme speech database which contains total 157 phoneme speech sounds that can speech out for all Myanmar texts. These phonemes are fetched according to the result from the phonetic analysis modules and concatenated them by using proposed new phoneme concatenation algorithm. According to the experimental results, the system achieved the high level of intelligibility and acceptable level of naturalness. As the application area, it is intended for the resource limited device to use as language learning app and so on.

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A Comparison between Syllable, Di-Phone, and Phoneme-based Myanmar Speech Synthesis

By Aye Thida Chaw Su Hlaing

DOI: https://doi.org/10.5815/ijitcs.2018.11.06, Pub. Date: 8 Nov. 2018

Among the speech synthesis approach, concatenative method is one of the most popular method which can produce more natural sounding speech output. The most important challenge in this method is choosing an appropriate unit for creating a database. The present used speech units are word, syllable, di-phone, tri-phone and phoneme. The speech quality may be trade-off between the selected speech units. This paper presents the three speech synthesis system of Myanmar language, respectively based on syllable, di-phone and phoneme speech units by using concatenation method. Then, we compare the speech quality of the three systems, using the subjective tests.

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