嵌入式语音识别系统中改进DTW算法的研究

2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI:10.1109/ICICIP.2010.5564195

Jing Zhang

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引用次数: 6

摘要

对传统的动态时间翘曲(DTW)算法结构进行了改进，并将其应用于嵌入式语音识别系统。实验结果表明，改进的DTW算法有效地减少了需要处理的数据量和识别时间，提高了系统的速度和识别率。随着待识别信号数量的增加，该算法显示出更多的优势。

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Research of improved DTW algorithm in embedded speech recognition system

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.

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来源期刊

2010 International Conference on Intelligent Control and Information Processing

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