Verification of sound source localization in reverberation room and its real time adaptation using visual information

Byoung-gi Lee, Jong-suk Choi, Daijin Kim, Munsang Kim
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引用次数: 1

Abstract

It is important for intelligent robots to detect the location of user even though the user is not captured by vision cameras. Sound source localization is a technique to detect the direction of sound source using multiple microphones. It enables the robot to respond to the user's call. Sometimes, a robot operates in echoic room, but the performance of sound source localization in echoic room is very poor. In this work, a verification method for reverberation is proposed and tested how much it improves the performance of sound source localization in reverberant environment.
利用视觉信息验证混响室内声源定位及其实时适应
对于智能机器人来说,即使用户没有被视觉摄像机捕捉到,也能检测到用户的位置是非常重要的。声源定位是一种利用多个传声器检测声源方向的技术。它使机器人能够响应用户的呼叫。有时,机器人在回声室内工作,但回声室内声源定位性能很差。本文提出了一种混响验证方法,并测试了该方法在混响环境下对声源定位性能的改善程度。
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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