Fast Wavelet-based Pitch Period Detector for Speech Signals

被引：0

作者：

Goh, Y. H. ^{[1
]}

Ko, Y. H. ^{[1
]}

Lee, Y. K. ^{[1
]}

Goh, Y. L. ^{[2
]}

机构：

[1] Tunku Abdul Rahman Univ Coll, Dept Mech Engn, Kuala Lumpur 53300, Malaysia

[2] Lee Kong Chian Fac Engn & Sci, Dept Math & Actuarial Sci, Sungai Long Campus, Kajang, Malaysia

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND INFORMATION SYSTEMS | 2016年 / 52卷

关键词：

pitch period; haar wavelet function; CEPSTRUM; RECOGNITION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A fast algorithm which can extract pitch period information from speech is described. The solution is developed by processing speech signals using Haar wavelet function. We have shown mathematically that the pitch period of a speech signals can be computed using global minimum of the total energy level of the Haar processed signal. The accuracy of the proposed method is examined by observing the differences in pitch period obtained between the proposed method and the ETSI pitch estimation algorithm. By reducing the computational complexity, proposed pitch detector is 8 times faster than the conventional ETSI pitch estimation algorithm. Besides, the proposed method has been implemented in a energy-based harmonic-features speech recognition system, recognition results have been compared and discussed.

引用

页码：494 / 497

页数：4

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