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基于小波特征提取的语音监测系统 被引量:1

The research of speech inspection system based on wavelet feature extraction
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摘要 论文针对小波变换和语音信号的特点,把小波变换和形态滤波法结合应用于语音信号基音周期的提取,并在此基础上把小波变换和说话人声道特征参数相结合,用于声道特征的提取。最后在以上研究的基础上设计了一种用于公安侦破和司法鉴定的语音监测系统。 In this paper,A new pitch detection method is proposed by combining mathematics morphology filter and wavelet multiresolution analysis;and pitch period is used as a feature for voiceprint recognition.Combining wavelet multi-resolution analysis and linear prediction cestrum analysis to extract track feature for voiceprint recognition,track feature is an important feature for voiceprint recognition.Based on the research of the feature extraction,a voiceprint recognition system for police scout and judicatory judge is designed.
出处 《微计算机信息》 2010年第12期28-29,74,共3页 Control & Automation
基金 基金申请人:王和平 项目名称:复杂背景下的声信息处理与识别技术研究 基金颁发部门:中国博士后科学基金会(20081431260)
关键词 小波变换 特征提取 语音识别 wavelet analyzing speech recognition feature extraction
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