A method for THAI isolated word recognition using Ant Colony algorithm

Authors:
Saritchai Predawan;Prasit Jiyapanichkul;Chom Kimpan;Chai Wutiwiwatchai
Affiliations:
Faculty of Information Technology, Rangsit University, Muang-Ake, Patumtani, Thailand;Faculty of Information Technology, Rangsit University, Muang-Ake, Patumtani, Thailand;Faculty of Information Technology, Rangsit University, Muang-Ake, Patumtani, Thailand;National Electronics and Computer Technology Center, Ministry of Science and Technology, National Electronics and Computer Technology Center, Klong Luang, Pathumthani, Thailand
Venue:
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

Citing 2
Cited 0

Ant Colony Optimization

Ant Colony Optimization
Tone analysis in harmonic-frequency domain and feature reduction using KLT+LVQ for Thai isolated word recognition

TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents Thai isolated word recognition system, which is based on the Ant-Miner algorithm. The system employs fundamental frequency (F0) extraction from input speech signal, analysis of F0 contour for feature extraction, and classification of each tone using the extracted features. In the F0 feature extraction, the polynomial regression functions are employed to fit the segmented F0 curve where its coefficients are used as a feature vector. All attributes are used for construct the classification rules by an Ant-Miner algorithm in order to classify 10 Thai digits utterances. For this experiment, the Ant-Miner algorithm is adapted, with a small change to increase the recognition rate. The result of this experiment is a 95% recognition rate.