Tone Classification for Isolated Thai Words using Multi-Layer Perceptron

被引：0

作者：

Maleerat, S. ^{[1
]}

Supot, N. ^{[1
]}

Choochart, H. ^{[2
]}

机构：

[1] King Mongkuts Univ Technol North Bangkok, Informat Technol, Bangkok, Thailand

[2] Natl Elect & Comp Technol Ctr NECTEC, Pathum Thani, Thailand

来源：

WCECS 2009: WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, VOLS I AND II | 2009年

关键词：

Tone Recognition; Tone Language;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposed a tone classification for isolated Thai words using Multi-Layer Perceptron (MLP). According to the syllable structure effect of initial consonants, vowels, and final consonants on tone recognition, three tone feature set were extracted from F-0 contour to capture the characteristic of five Thai tones and feed it into the MLP to classify five different tones of target corresponding to five Thai tones. Two dataset of Thai monosyllable were used for training and testing. The data were collected from 5 male and 5 female of Thai native speakers. The results show that these tone feature set which extracted from F-0 can be achieved a high performance of Thai tone recognition.

引用

页码：1322 / +

页数：2

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