A pitch detector based on the dyadic wavelet transform and the autocorrelation function

被引:0
|
作者
Li, J [1 ]
Bao, CC [1 ]
机构
[1] Beijing Polytech Univ, Elect Informat & Control Engn Coll, Beijing 100022, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The interest. in real-time, low-bit-rate speech coding dictates current research efforts in speech signal compression. This paper describes a pitch detection method based on the dyadic wavelet transform and the autocorrelation function (ACF). The proposed pitch detector ensures smooth pitch trajectory evolution. Experiments show the performance of the wavelet- and ACF-based pitch detector is superior to that of conventional pitch detector that uses the. ACF method to estimate the pitch period.
引用
收藏
页码:414 / 417
页数:4
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