Research on isolated word recognition with DTW-based

Lijun Xu, Minyi Ke
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引用次数: 7

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.
基于dtw的孤立词识别研究
本文首先对DTW算法进行了研究和分析。针对DTW算法计算量大、抗干扰性差的缺点,本文提出了带路径约束的改进DTW算法和放宽起点和终点的改进DTW算法。实验表明,改进的DTW方法可以提高识别速度,减少语音识别中的噪声干扰,提高语音识别率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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