中文摘要：

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。

英文摘要：

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.