利用视觉信息验证混响室内声源定位及其实时适应

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

摘要

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