DocumentCode :
2113215
Title :
Isolated Word Speech Rcogniton Based on HRSF and Improved DTW Algorithm
Author :
Hu Xiao-hui ; Zhao Gansen ; Zhan Lv-jun ; Xue Yun ; Zhou Weixing
Author_Institution :
Sch. of Phys. & Telecommun., South China Normal Univ., Guangzhou, China
Volume :
3
fYear :
2012
fDate :
4-7 Dec. 2012
Firstpage :
270
Lastpage :
273
Abstract :
The paper introduces an isolated word speech recognition system in which the speech signal is acquired in real time, Half Raised-Sine function is applied to the MFCC parameters of the audio files, and improved DTW algorithm is implemented. Experimental results show that compared the conventional DTW with the improved DTW algorithm, the latter can obtain a better recognition rate and faster response time.
Keywords :
speech recognition; HRSF; audio files; dynamic time warping; half raised sine function; improved DTW algorithm; isolated word speech recognition system; recognition rate; speech signal; DTW; Half Raised-Sine function (HRSF); MFCC; the isolated word;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
Conference_Location :
Macau
Print_ISBN :
978-1-4673-6057-9
Type :
conf
DOI :
10.1109/WI-IAT.2012.75
Filename :
6511691
Link To Document :
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