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(0dB)下仍能准确地检测出语音段。
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.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第27期143-145,共3页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)No.2006AA01Z328~~
关键词
端点检测
短时能量
谱减法
复杂性测度
endpoint detection
short-time energy
spectral subtraction
complexity
