A Novel Fast Noise Robust Vietnamese Speech Recognition Applied for Robot Control

被引：0
|
作者：
Phung Trung Nghia [1 ]
Thai Quang Vinh [2 ]
机构：
[1] Thai Nguyen Univ, Fac Informat Technol, Thai Nguyen, Vietnam
[2] Natl Acad Sci & Technol, Inst Informat Technol, Hanoi, Vietnam
来源：
2008 10TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION: ICARV 2008, VOLS 1-4 | 2008年
关键词：
Vietnamese Speech Recognition; Wavelet; Robot Control; Fast and Noise Robust Speech Recognition;
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：
Most of researches on speech recognition in the world concentrate on improving the large vocabulary of the corpus. In real-time robot control by speech commands, speech recognition is usually no need very large vocabulary but the fast implementation and the noise robust is prerequisite. This study proposes a novel fast noise robust wavelet-based Vietnamese speech recognition applied for robot control. The experimental results of a robot control simulations built in MATLAB show that our proposal is superior to the other conventional speech recognizers for Vietnamese speech corpus with clean and white noisy speech. In addition, the computation cost of our proposal is much lower than the others.
引用
收藏
页码：821 / +
页数：3
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