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。
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,
出处
《华中理工大学学报》
CSCD
北大核心
1994年第11期40-44,共5页
Journal of Huazhong University of Science and Technology
基金
国家863计划项目资助课题
关键词
语音处理
基音检测
小波变换
speech processing
pitch detection
wavelet transform