Ausdang Thangthai

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This paper proposes a technique of automatic syllable-pattern induction in statistical Thai text-to-phone transcription. A general process of building a statistical text-to-phone transcription is to first define a set of rules describing syllable patterns, which is used for syllabification. Given an input text, the syllabification process generates all(More)
This paper presents applications of five famous learning methods for Thai phrase break prediction. Phrase break prediction is particularly important for our Thai text-to-speech synthesizer (TTS), where input Thai text has no word and sentence boundary. The learning methods include a POS sequence model, CART, RIPPER, SLIPPER and neural network. Features(More)
This article tackles the problem of transcribing English words using Thai phonological system. The problem exists in Thai, where modern writing often composes of English orthography, and transcribing using English phonology results unnatural. The proposed model is totally data-driven, starting by automatic grapheme-phoneme alignment, modeling transduction(More)
This paper proposes a modified Tilt model, called T-Tilt, for analyzing and synthesizing F0 contours in tonal languages. The Tilt model successfully designed for intonation modeling is extended to cover syllable-based F0 realization influenced strongly by the tonal context. Two modification approaches include adding a parameter indicating a F0 curve pattern(More)
This paper presents naturalness improvement in Thai unit-selection text-to-speech synthesis (TTS) based on prosody modeling. Although several modeling approaches of prosodic parameters in Thai speech have been proposed, they have not been proven to provide a promising performance when practically assembling in a synthesizer. In this paper, two learning(More)
Several Thai TTS systems are already available on a resourceful platform such as a personal computer. However, porting these systems to a resource limited device such as a mobile phone is not an easy task. Practical aspects including application size and processing time have to be concerned. In this paper, we aim at developing a Thai speech synthesizer that(More)