›› 2011, Vol. 24 ›› Issue (8): 36-.

• 论文 • 上一篇    下一篇

特定声识别与定位系统

龚小章   

  1. (东南大学 信息科学与工程学院,江苏 南京 211189)
  • 出版日期:2011-08-15 发布日期:2011-08-19
  • 作者简介:龚小章(1989—),男,本科。研究方向:信息科学与工程。

A Recognition and Localization System of Target Sound

 GONG Xiao-Zhang   

  1. (College of Information Science and Engineering,Southeast University,Nanjing 211189,China)
  • Online:2011-08-15 Published:2011-08-19

摘要:

设计并实现了一种特定声识别与定位系统,应用于捕捉特定声源并判断其方位。系统将声音识别和定位两大功能有机结合,利用基于频域特性的相似度计算识别方法监测目标音频信号,定位方面,提出了对传统的基于到达时间差(TDOA)算法的系统优化。通过硬件电路预处理和软件设计相结合的方法,简便地计算出音频信号的到达时间差。再经过多重计算求均值法,结合已知拾音器阵列的空间位置确定声源的方位角,通过数码管显示定位结果。系统处理器由两片凌阳SPCE61A单片机实现,具有便携轻便、稳定性好、算法精简高效、精度高等特点。

关键词: 声音定位, 声音识别, SPCE061A单片机, 到达时间差

Abstract:

A system for recognizing and locating the target sound is designed and implemented,which is applied to distinguish the target sound and calculate its location direction.This system combines two functions together:sound recognition and location.Based on signal frequency domain characteristic,a similarity calculation method is used to detect target sound.Then an optimization of the traditional TDOA algorithm system is put forward in location implementation process.Combining preprocessing circuit and software calculation,the time difference of arrival can be easily obtained.Using mean algorithm with multiple calculation,angle of direction can be fixed with prior knowledge of sound pick-ups' location.The processor consists of two Sunplus SPCE061A SCMs,which are portable,robust,highly efficient and accurate.

Key words: voice recognition;voice localization;SPCE061A SCM;TDOA

中图分类号: 

  • TN912.3