The improvement of HMM algorithm using wavelet de-noising in speech recognition

Dexiang Zhou, Xianrong Wang
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引用次数: 4

Abstract

Based on primary HMM algorithm, this paper discusses an improving algorithm of HMM and uses wavelet algorithm to reduce signal noise and then signal reconstruction. The improved algorithm uses MATLAB to carry out simulation test. Through setting appropriate wavelet soft threshold value, the test result shows that the improved algorithm will improve obviously speech recognition efficiency compared with primary HMM algorithm.
语音识别中小波降噪对HMM算法的改进
本文在原有隐马尔可夫算法的基础上,讨论了一种改进的隐马尔可夫算法,利用小波算法降低信号噪声,然后进行信号重构。改进后的算法利用MATLAB进行了仿真测试。通过设置适当的小波软阈值,测试结果表明,改进后的算法与原HMM算法相比,语音识别效率有明显提高。
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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