基于双门限两级判决的语音端点检测方法

摘要

Endpoint detection of speech signal processing is a very important step, which directly affects the accura- cy of the speed and results in voice signal processing. The research on endpoint detection, especially in noisy environ- ments, has always been the hot spots in voice signal processing. Aiming at the front-end detection, which is made for the voice recognition system, this paper compares the use of short-term energy with the use of short-term average zero-crossing rate for endpoint detection. It achieves a double-threshold method of endpoint detection programming and simulation by Matlab. Simulation results show that an accuracv of as high as 93% for endDoint detection can be achieved.%端点检测是语音信号处理过程中的重要步骤，其准确性直接影响语音信号处理的速度和结果。因此对于端点检测方法，特别是在噪声环境下的端点检测研究，一直是语音信号处理中的热点。文中针对声纹识别系统所作的端点检测前端处理，对比了利用短时能量和短时平均过零率进行端点检测的方法，运用Matlab实现了双门限法端点检测的编程和仿真。仿真结果表明，端点检测准确时识别率为93％。