Implementation of Real-Time Sound Source Localization using TMS320C6713 Board with Interaural Time Difference Method

Yuri Pamungkas, Yahya Rais
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Abstract

Innovations in robotics have been widely used and developed to facilitate various lines of human life. Robots are often designed to have human-like abilities (such as by implanting hearing abilities). However, many challenges need to be overcome in the application process. One of them is related to sound localization (determination of the sound source direction). Research related to sound localization has indeed been carried out by many researchers before. However, previous research still tends to use a lot of array microphones for the sound localization process, and the delay in sound detection still needs to be considered. Therefore, we are trying to build a real-time sound source localization system using the Interaural Time Difference Method. In this study, two array microphones were used for sound source detection, and a DSP board (TMS320C6713) was used for data processing so that this system could detect sound sources quickly and accurately. Based on the test results, this system can detect the source and direction of sound in real-time. It can be seen from the value of the detection delay, which ranges from 3. 05-27.08ms. In addition, the system can also predict sound direction quite well even though at measurement angles of more than -80° and 80°, there is still an estimation error (around 3.61% - 4.76%). Meanwhile, at angles of measurement less than -80° and 80°, the accuracy of the estimation of the direction of sound reaches 100%.
利用TMS320C6713板实现声源的实时定位
机器人技术的创新已经被广泛应用和发展,以促进人类生活的各个方面。机器人通常被设计为具有类似人类的能力(例如通过植入听力)。然而,在申请过程中需要克服许多挑战。其中之一与声音定位(确定声源方向)有关。与声音定位相关的研究之前确实有很多研究者进行过。然而,以往的研究仍然倾向于使用大量的阵列麦克风进行声音定位过程,并且仍然需要考虑声音检测的延迟。因此,我们尝试利用耳间时差法构建一个实时声源定位系统。在本研究中,使用两个阵列麦克风进行声源检测,并使用DSP板(TMS320C6713)进行数据处理,使系统能够快速准确地检测声源。根据测试结果,该系统可以实时检测声源和方向。从检测时延的取值可以看出,其取值范围为3。05 - 27.08 ms。此外,即使在超过-80°和80°的测量角度下,系统也可以很好地预测声音方向,但仍然存在估计误差(约为3.61% - 4.76%)。同时,在测量角度小于-80°和80°时,声音方向的估计精度达到100%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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