个性化耳机头部相关传递函数

Zhijian Yang, Romit Roy Choudhury
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引用次数: 15

摘要

头部相关传递函数(HRTF)描述了声音信号到达头部后如何反弹、散射和衍射,并向耳朵传播。hrtf产生独特的声音模式,最终帮助大脑推断声音的空间特性,比如它的到达方向,即频率。如果耳机可以学习HRTF,它可以将HRTF应用于任何声音,并使该声音在用户看来是定向的。例如,定向语音向导可以帮助游客在一个新城市导航。虽然过去的工作估计了人类的hrtf,但一个重要的差距在于个性化。今天的hrtf是在所有产品中使用的全局模板;由于人类HRTF是独一无二的,因此全局HRTF只能提供粗粒度的体验。这篇论文表明,通过在头部移动智能手机,结合手机和耳塞之间的移动声学通信,可以估计用户的个人HRTF。我们的个性化系统UNIQ结合了信道估计,运动跟踪和信号处理技术,重点是在面部曲率上建模信号衍射。这一结果很有希望,可以为沉浸式AR/VR、可穿戴设备、智能助听器等快速增长的领域打开新的大门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalizing head related transfer functions for earables
Head related transfer functions (HRTF) describe how sound signals bounce, scatter, and diffract when they arrive at the head, and travel towards the ears. HRTFs produce distinct sound patterns that ultimately help the brain infer the spatial properties of the sound, such as its direction of arrival, 𝜃. If an earphone can learn the HRTF, it could apply the HRTF to any sound and make that sound appear directional to the user. For instance, a directional voice guide could help a tourist navigate a new city. While past works have estimated human HRTFs, an important gap lies in personalization. Today's HRTFs are global templates that are used in all products; since human HRTFs are unique, a global HRTF only offers a coarse-grained experience. This paper shows that by moving a smartphone around the head, combined with mobile acoustic communications between the phone and the earbuds, it is possible to estimate a user's personal HRTF. Our personalization system, UNIQ, combines techniques from channel estimation, motion tracking, and signal processing, with a focus on modeling signal diffraction on the curvature of the face. The results are promising and could open new doors into the rapidly growing space of immersive AR/VR, earables, smart hearing aids, etc.
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