Speech detection algorithm based on C0 complexity and short-time energy

doi:10.3778/j.issn.1002-8331.2009.27.043

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (27): 143-145.DOI: 10.3778/j.issn.1002-8331.2009.27.043

• 数据库、信号与信息处理 • Previous Articles Next Articles

Speech detection algorithm based on C₀ complexity and short-time energy

MA Wei-rong¹，FENG Hong-wei¹，LI Ning²

1.College of Information Science and Technology，Northwest University，Xi’an 710127，China
2.School of Software，Dalian University of Technology，Dalian，Liaoning 116023，China

Received:2008-05-26 Revised:2008-08-06 Online:2009-09-21 Published:2009-09-21
Contact: MA Wei-rong

基于C₀复杂度和能量的语音端点检测算法

马伟荣¹，冯宏伟¹，李宁²

1.西北大学信息科学与技术学院，西安 710127
2.大连理工大学软件学院，辽宁大连 116023

通讯作者: 马伟荣

Abstract

Abstract: Complexity measure is an important nonlinear property of the signal sequence.Speech detection methods based on complexity measures have nonlinear properties.This paper proposes a new speech detection method，which improves the traditional C₀ complexity and combines with enhanced short-time energy.Simulation results indicate that the method has a strong robust to noise and is able to reliably detect the onset and offset of speech even for low SNR such as 0 dB situation.

Key words: endpoint detection, short-time energy, spectral subtraction, complexity

摘要： 复杂性测度是反映信号序列的一个重要的非线性特征，复杂性测度的语音端点检测技术具有非线性技术的本质特征。对C₀复杂度作出改进，并与增强后的短时能量相结合，提出了一种更有效的端点检测算法——C₀复杂度能量的语音端点检测方法。实验证明，该算法对噪声有很强的鲁棒性，在低信噪比（0 dB）下仍能准确地检测出语音段。

关键词: 端点检测, 短时能量, 谱减法, 复杂性测度

CLC Number:

TP391.42

MA Wei-rong¹，FENG Hong-wei¹，LI Ning². Speech detection algorithm based on C₀ complexity and short-time energy[J]. Computer Engineering and Applications, 2009, 45(27): 143-145.

马伟荣¹，冯宏伟¹，李宁². 基于C₀复杂度和能量的语音端点检测算法[J]. 计算机工程与应用, 2009, 45(27): 143-145.

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Speech detection algorithm based on C₀ complexity and short-time energy

基于C₀复杂度和能量的语音端点检测算法

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