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A SENSOR-FUSION METHOD FOR DETECTING A SPEAKING STUDENT

机译:一种检测演讲学生的传感器融合方法

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In this paper, we propose a method for detecting the location of the speaker that is a target of automatic video filming in distance learning and lecture archive. It is required that a face of a speaking student is filmed in a lecture video. For this purpose, it is necessary to detect the location of a speaker. An acoustic sensor such as a microphone array is used widely to detect the location of a sound source. However, it is difficult to detect the location of a sound source precisely using only microphone array because of sound noise in a large space such as a lecture room. In this paper, we propose a method for detecting more precise location of a speaker in the lecture room using not only the microphone array but also visual sensors. The result shows that the precision ratio of detecting the location of a speaker was improved about 20% by our sensor-fusion method.
机译:在本文中,我们提出了一种检测扬声器位置的方法,该扬声器是远程学习和讲座档案中的自动视频拍摄的目标。要求讲话的学生面临讲座的视频。为此目的,有必要检测扬声器的位置。诸如麦克风阵列的声学传感器广泛用于检测声源的位置。然而,由于诸如讲座室的大空间中的声音噪声,难以仅使用麦克风阵列来检测声源的位置。在本文中,我们提出了一种用于在演讲室中使用麦克风阵列而且还使用麦克风阵列来检测扬声器中更精确的位置的方法,还包括视觉传感器。结果表明,通过传感器融合方法检测扬声器位置的精度比率提高了约20%。

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