Paper Info
Title
Isolated Word Speech Rcogniton Based on HRSF and Improved DTW Algorithm
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.
Year
DOI
Venue
2012
10.1109/WI-IAT.2012.75
Web Intelligence/IAT Workshops
Keywords
Field
DocType
improved dtw algorithm,speech signal,raised-sine function,conventional dtw,isolated word speech recognition,faster response time,isolated word speech rcogniton,audio file,mfcc parameter,real time,better recognition rate,mfcc
Mel-frequency cepstrum,Pattern recognition,Dynamic time warping,Computer science,Response time,Algorithm,Speech recognition,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
5
Name
Order
Citations
PageRank
Xiao-Hui Hu1105.55
Gansen Zhao233449.55
Lv-Jun Zhan341.14
Yun Xue465.30
Wei-Xing Zhou520615.05