DocumentCode
3249603
Title
Research on isolated word recognition with DTW-based
Author
Xu, Lijun ; Ke, Minyi
Author_Institution
Sch. of Comput. Sci. & Technol., Hubei Univ. of Technol., Wuhan, China
fYear
2012
fDate
14-17 July 2012
Firstpage
139
Lastpage
141
Abstract
The paper first conducts a study and analysis on DTW algorithm. As the DTW algorithm needs a large number of calculations and has poor anti-interference weakness, the paper proposes improved DTW algorithm with path constraint and improved DTW algorithm to relax the starting and ending point. Experiments show that the improved DTW methods can improve the recognition speed, reduce the noise interference on speech recognition, and improve speech recognition rate.
Keywords
dynamic programming; speech recognition; ending point relaxation; improved DTW algorithm; isolated word recognition; noise interference reduction; path constraint; recognition speed improvement; speech recognition rate improvement; starting point relaxation; Algorithm design and analysis; Computer science; Educational institutions; Heuristic algorithms; Signal processing algorithms; Speech; Speech recognition; DTW; Endpoint detection; Isolated word; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-0241-8
Type
conf
DOI
10.1109/ICCSE.2012.6295044
Filename
6295044
Link To Document