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

来源：

2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II | 2002年

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

页码：414 / 417

页数：4

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