›› 2012, Vol. 25 ›› Issue (1): 13-.

• 论文 • 上一篇    下一篇

基于双门限两级判决的语音端点检测方法

路青起,白燕燕   

  1. (西安工业大学 电子信息工程学院,陕西 西安 710032)
  • 出版日期:2012-01-15 发布日期:2012-01-10
  • 作者简介:路青起(1955—),男,副教授。研究方向:信号与信息处理,语音信号处理。白燕燕(1983—),女,硕士研究生。研究方向:信号与信息处理,语音信号处理。

A Speech Endpoint Detection Algorithm Based on Dual-threshold Two Sentences

 LU Qing-Qi, BAI Yan-Yan   

  1. (Institute of Electronic and Information Engineering,Xi'an Technological University,Xi'an 710032,China)
  • Online:2012-01-15 Published:2012-01-10

摘要:

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%。

关键词: 端点检测, 语音信号处理, 短时能量, 过零率, 双门限法

Abstract:

Endpoint detection of speech signal processing is a very important step,which directly affects the accuracy of the speed and results in voice signal processing.The research on endpoint detection,especially in noisy environments,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 accuracy of as high as 93% for endpoint detection can be achieved.

Key words: endpoint detection;speech signal processing;short-term energy;zero crossing rate;dual-threshold

中图分类号: 

  • TN912