Thai Monosyllabic Words Recognition using Ant-Miner Algorithm

被引：0

作者：

Predawan, Saritchai ^{[1
]}

Kimpan, Chom ^{[2
]}

Wutiwiwatchai, Chai

机构：

[1] Rangsit Univ, Fac Informat Technol, Tambon Lakhok, Thailand

[2] Rangsit Univ, Fac Informat Technol, Dept Informat, Tambon Lakhok, Thailand

来源：

INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY | 2013年 / 10卷 / 04期

关键词：

Thai monosyllabic words recognition; ant-miner algorithm; classification; Thai language; SPEECH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, Ant-Miner software is used to develop classification rules for Thai monosyllabic words. The hypothetical words used in this paper are composed of 65 command monosyllabic Thai words. The binary desired outputs were used during training 520 Thai words consist of 10 numerals and single-syllable, 65 words in each group were used for system evaluation. In order to improve recognition accuracy, initial consonants, vowels, final consonants and tonal level detected were conducted for speech preclassification. The parameters used in the metaheuritstic algorithms are optimized using pruning algorithm with the aim of improving the accuracy by generating minimum number of rule in order to cover more patterns. Thai monosyllabic words recognition using Ant-Miner yielded Thai monosysllabic words accuracy of recognition on test set of 88.65%, 87.69% and 91.54% for 50, 100 and 250 number of ants respectively.

引用

页码：405 / 412

页数：8

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