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基于倒谱距离的语音端点检测改进算法
引用本文:王博,郭英,李宏伟,韩立峰. 基于倒谱距离的语音端点检测改进算法[J]. 空军工程大学学报(自然科学版), 2006, 7(1): 59-63
作者姓名:王博  郭英  李宏伟  韩立峰
作者单位:空军工程大学,电讯工程学院,陕西,西安,710077;空军工程大学,电讯工程学院,陕西,西安,710077;空军工程大学,电讯工程学院,陕西,西安,710077;空军工程大学,电讯工程学院,陕西,西安,710077
摘    要:在讨论传统倒谱距离语音端点检测算法不足的基础上,提出了一种改进方案,该方法首先估计短时信噪比,然后由统计方法确定短时信噪比与门限的关系,进而完成正确的语音端点判决。通过对3种典型噪声环境下信噪比从-5 dB到20 dB的带噪语音信号进行的仿真实验结果表明,所提方法能更为准确地检测到语音端点。

关 键 词:端点检测  倒谱距离  判决准则  语音增强
文章编号:1009-3516(2006)01-0059-05
收稿时间:2005-06-03
修稿时间:2005-06-03

An Improved Voice Activity Detection Method Based on Cepstrum Distance
WANG Bo,GUO Ying,LI Hong-wei,HAN Li-feng. An Improved Voice Activity Detection Method Based on Cepstrum Distance[J]. Journal of Air Force Engineering University(Natural Science Edition), 2006, 7(1): 59-63
Authors:WANG Bo  GUO Ying  LI Hong-wei  HAN Li-feng
Abstract:On discussing the defects of the traditional voice activity detection method based on cepstrum distance,this paper proposes an improved project.In this method,an accurate SNR estimation is made at first,and the discriminative threshold is fixed according to the relationship between SNR and the threshold,then the accurate end-point can be confirmed,in the end the simulation experiments are made with a lot of noisy speech signals ranging from-5dB to 20 dB in three representative noisy environments.The result shows that the comparatively accurate speech endpoints can be detected by the above method in different SNR environments.
Keywords:voice activity detection  cepstrum distance  discriminative rules  speech enhancement
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