语音端点检测研究  

Research on Endpoint Detection of Speech

作　　者：邓艳容[1] 景新幸[1] 杨海燕[1] 杨运泽[2] 

机构地区：[1]桂林电子科技大学信息与通信学院,桂林541004 [2]桂林电子科技大学机电工程学院,桂林541004

出　　处：《计算机系统应用》2012年第6期240-243,共4页Computer Systems & Applications

基　　金：国家自然科学基金(60961002);桂林电子科技大学博士科研启动基金(UF08018Y);教学团队建设-微电子学专业主干课程教学团队(ZJT0121A)

摘　　要：论文对噪声环境下的语音端点检测方法进行了系统地研究。由于传统的短时能量和短时过零率双门限算法在低信噪比条件下不能检测出语音信号的端点,对此,本文提出了一种改进的谱熵-双门限算法,文中给出了改进算法的实现框图,并用MATLAB进行了算法仿真,仿真结果表明该算法具有一定的鲁棒性,在较低信噪比下仍能准确地区分有用信号和噪声,从而验证了该算法的有效性和高效性。Systemic research has been done on the endpoint detection algorithms of speech in the noise environment. traditional method of short-time energy and short-time zero-crossing rate of double threshold can not detect speech signal endpoint in low SNR. To solve this problem, A improved algorithm of spectral entropy-double threshold is proposed in this paper, the diagram of realization of this algorithm is presented and simulated in MATLAB. Simulation results show that the algorithm perform well on anti-noise, they can still accurately distinguish between voice and noise, so the effectiveness and high efficiency of the improved algorithm is proved.

关 键 词：语音端点检测 谱熵 双门限 

分 类 号：TN912.3[电子电信—通信与信息系统]