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基于LPC预测误差DWT的语音基音检测
引用本文:李晖,谢锦辉,黄载禄.基于LPC预测误差DWT的语音基音检测[J].华中科技大学学报(自然科学版),1994(11).
作者姓名:李晖  谢锦辉  黄载禄
作者单位:华中理工大学电子与信息工程系
基金项目:国家863计划项目资助课题
摘    要:在对语音信号进行LPC分析的基础上,提出了一种有效的语音基音周期检测算法。该算法利用小波变换中著名的Mallat算法逐层分解LPC预测误差信号,在最低分辨率的逼近信号中寻找峰值,然后逐层回溯各个分辨率的逼近信号,最后在LPC预测误差中确定出峰值,从而求出相应的基音周期。

关 键 词:语音处理  基音检测  小波变换

Pitch Detection of Speech Signals Based on LPC Predictive Error DWT
Li HuiDept.of Electronics&Information Eng.,H.U,S.T,Wuhan ,China., Xie Jinhui, Huang Zailu.Pitch Detection of Speech Signals Based on LPC Predictive Error DWT[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1994(11).
Authors:Li HuiDeptof Electronics&Information Eng  HU  ST  Wuhan  China  Xie Jinhui  Huang Zailu
Institution:Li HuiDept.of Electronics&Information Eng.,H.U,S.T,Wuhan 430074,China., Xie Jinhui, Huang Zailu
Abstract:Based on the LPC analysis of speech signals an effective method for the detection of thepitch is proposed.The LPC predictive error signal is decomposed layer by layer by the well-known Mallat algorithm in wavelet transformation and the peaks are searched for in the approximation signals of the lowest resolution. The relevant pitch period can be found by thepeaks determined with the LPC predictive error after all the approximation signals have beentracked backward layer by layer,
Keywords:speech processing  pitch detection  wavelet transform  
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