%0 Journal Article
%T Pitch detection based on autocorrelation square function and wavelet transform<br>基于自相关平方函数与小波变换的基音检测
%A LIN Qin
%A GUO Yu-tang
%A LIU Ya-nan
%A <br>林琴
%A 郭玉堂
%A 刘亚楠
%J 计算机应用
%D 2009
%I 
%X A robust pitch detection algorithm based on autocorrelation square function and wavelet transform was proposed for speech signals severely corrupted by noise. Noisy speech signal was first preprocessed by wavelet transform. The autocorrelation square function had been applied to emphasize the peak of the true pitch period. This algorithm can get the exact pitch of the speech signals in strong noisy environment. Experimental results indicate that, compared with classical pure autocorrelation method, the proposed algorithm has better robustness and higher accuracy with lower computational complexity, which is good for speech synthesizing and coding in real-time.
%K speech signal
%K autocorrelation square function
%K wavelet transform
%K pitch detection<br>语音信号
%K 自相关平方函数
%K 小波变换
%K 基音检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=FC5957C70D69A3B301BE92127522BADC&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=94C357A881DFC066&sid=1E0D46E7B42E2E81&eid=D13C8858CB852BDA&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8