基于麦克风阵列的汽车笛语识别及笛声定位方法

doi:10.3969/j.issn.1001-2400.2012.01.029

Abstract

Abstract:

Sound data collected by the microphone array is processed to realize the recognition and localization of car whistles in real time. Firstly,an algorithm based on the product of energy and frequency is adopted to detect whistles from noise. And the characteristics of the whistle signal are used to decide whether the received signal is car whistles or not. Secondly, a table-searching method can be designed to recognize the meanings of several kinds of whistles, and then enables intelligent cars to exchange some simple information in the whistle language. Finally, the deference of time delay along with the structure of the microphone array can estimate the angle of the whistles. Computer simulations show that the whistles can be recognized with high accuracy of 90％, and the error of the angle estimate is less than 3°.

Key words: whistle detection, whistle recognition, delay, sound localization

LIU Jianping;ZHANG Yiwen;LIU Ying. Recognition and localization of car whistles using the microphone array[J].J4, 2012, 39(1): 163-167.

References

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Recognition and localization of car whistles using the microphone array

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