基于耳廓的鲁棒声音定位的频谱线索

Tomoko Shimoda, T. Nakashima, M. Kumon, R. Kohzawa, I. Mizumoto, Z. Iwai
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引用次数: 20

摘要

声源定位是听觉机器人的一项重要能力。本文提出了一种具有双传声器和耳廓的声源垂直方向定位的鲁棒方法。为了实现垂直声源定位,研究了声源的谱线检测方法以及谱线与声源方向的关系。此外,本文还考虑了声源分离,以便仅从声源中识别和隔离频谱线索,从而使该方法对外来噪声具有鲁棒性。在此基础上设计了一种基于频谱信号的音频伺服系统,并在实际机器人中实现了该方法。实验结果验证了该方法的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectral Cues for Robust Sound Localization with Pinnae
An important ability in auditory robots is the localization of sound source. In this paper, a robust method to localize the vertical direction of the sound source with two microphones and pinnae is proposed. In order to achieve vertical sound source localization, the method of detecting spectral cues, the relationship between spectral cues and source direction are studied. In addition, this paper considers sound source separation in order to recognize and isolate spectral cues only from the sound source in order to make the method robust to extraneous noise. Furthermore the authors designed an audio servo with the proposed spectral cues and implemented the method in an actual robot. The experimental results confirmed the effectiveness of the method
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