| 基于C0复杂度和能量的语音端点检测算法 |
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| 引用本文： | 马伟荣,冯宏伟,李 宁.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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| 作者姓名： | 马伟荣 冯宏伟 李 宁 |
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| 作者单位： | 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 |
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| 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。
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| 关 键 词： | 端点检测 短时能量 谱减法 复杂性测度 |
| 收稿时间： | 2008-5-26 |
| 修稿时间： | 2008-8-6
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Speech detection algorithm based on C0 complexity and short-time energy |
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| MA Wei-rong,FENG Hong-wei,LI Ning.Speech detection algorithm based on C0 complexity and short-time energy[J].Computer Engineering and Applications,2009,45(27):143-145. |
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| Authors: | MA Wei-rong FENG Hong-wei LI Ning |
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| Affiliation: | 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 |
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| 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. |
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| Keywords: | endpoint detection short-time energy spectral subtraction complexity |
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