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HUMANOID BINAURAL HEARING: ADAPTIVE APPROACH

机译:类人双耳听力:自适应方法

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摘要

When placed in a free sound field, a listener will obstruct an incoming sound wave, and ears, head and body will cause a linear filtering of the sound signal. This filtering is completely and uniquely described by the Head-Related Transfer Function (HRTF). In the general definition of this function all linear properties of the sound transmission are included. All proposed descriptors of localization cues, such as inter-aural differences in arrival-time, in phase, in sound level, as well as monaural cues, are embedded in the HRTF. They can thus be derived from it, whereas the opposite is not generally the case. Motivated by the rich content of the HRTF and by the role of the outer ear to direct, focus, and amplify sound, we present a new binaural method for sound source localization in 3D to be deployed for humanoid binaural hearing. Based on the content of the collected sound signals, the distance between the microphones reconfigures automatically in order to optimize the localization accuracy. Compared to other localization algorithms, the proposed system is outperforming in terms of localization precision and processing power.
机译:当放置在自由声场中时,听众将阻塞传入的声波,而耳朵,头部和身体将对声音信号进行线性滤波。头相关传递函数(HRTF)完全唯一地描述了此过滤。在此功能的一般定义中,包括了声音传输的所有线性特性。 HRTF中嵌入了所有建议的定位线索描述符,例如到达时间,相位,声音水平以及单声道线索的听觉差异。因此可以从中得出它们,而通常情况并非相反。受HRTF丰富的内容以及外耳指向,聚焦和放大声音的作用的推动,我们提出了一种用于3D声源定位的新双耳方法,该方法将用于人形双耳听力。根据收集的声音信号的内容,麦克风之间的距离会自动重新配置,以优化定位精度。与其他本地化算法相比,该系统在本地化精度和处理能力方面均表现出色。

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