Title :
Research of improved DTW algorithm in embedded speech recognition system
Author_Institution :
Dept. of Comput. Sci. & Technol., Guangdong Univ. of Foreign Studies, Guangzhou, China
Abstract :
The traditional dynamic time warping (DTW) algorithm structure was improved and applied to the embedded speech recognition system. Experimental results show that the improved DTW algorithm effectively reduces the amount of data to be processed and the recognition time, improving the system speed and recognition rate. The algorithm shows more advantage as the number of signal to be recognized increases.
Keywords :
embedded systems; speech recognition; DTW algorithm improvement; dynamic time warping; embedded speech recognition system; recognition rate; speed rate; Algorithm design and analysis; Heuristic algorithms; Libraries; Speech; Speech recognition; Time series analysis; Vocabulary;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
DOI :
10.1109/ICICIP.2010.5564195
