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基于小波变换的语音同步方法研究
引用本文:赵凌伟,陈静. 基于小波变换的语音同步方法研究[J]. 计算机与网络, 2012, 0(18): 65-67
作者姓名:赵凌伟  陈静
作者单位:中国人民解放军91404部队,河北秦皇岛066001
摘    要:为提高语音通信干扰效果客观评估中标准语音文件和受扰语音文件的同步精度,对军标GJB4405A-2006中规定的标准语音文件增设了高低频交叉的双音频同步头;介绍了小波消噪的原理,利用2层sym小波对受扰语音文件进行了消噪处理,将同步头中的高频信号作为噪声进行大幅削弱;设计了基于幅度比较的同步算法,找出同步基准点,并对20组受扰严重的语音文件的进行了仿真测试,仿真结果证明了该方法得到的同步精度符合后续数据处理的要求。

关 键 词:小波变换  消噪  同步头  幅度比较

Study on Speech Files Synchronization Methods Based on Wavelet Transform
ZHAO Ling-wei,CHENJing. Study on Speech Files Synchronization Methods Based on Wavelet Transform[J]. China Computer & Network, 2012, 0(18): 65-67
Authors:ZHAO Ling-wei  CHENJing
Affiliation:(Unit 91404, PLA, Qinhuangdao Hebei 066001, China)
Abstract:To enhance the synchronization accuracy of standard speech file and jammed speech file in the evaluation of speech jamming effect, a dual-frequency synchronization head with a high frequency and a low frequency appearing alternately is added to the standard speech file as prescribed by GJB4405A-2006. The theory of wavelet denoising is introduced, and the Sym2 wavelet is used to denoise the jammed speech file, which weakens the high frequency signal greatly as noise. A synchronization algorithm is designed based on comparing the amplitudes to find the synchronization reference point. 20 jammed speech files are tested by this method, and the results prove that the synchronization accuracy meets the requirement of follow-up data processing.
Keywords:wavelet transform  denoise  synchronization head  amplitude comparison
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