2022
DOI: 10.1109/msp.2021.3110108
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Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering

Abstract: UGMENTED OR MIXED REALITY (AR/MR) is emerging as one of the key technologies in the future of computing. Audio cues are critical for maintaining a high degree of realism, social connection, and spatial awareness for various AR/MR applications such as teaching and training, gaming, remote work, education, and virtual social gatherings. Motivated by a wide variety of AR/MR listening experiences delivered over hearables, this feature article systematically reviews the integration of fundamental and advanced signa… Show more

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Cited by 19 publications
(3 citation statements)
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“…For AAR displays, acoustic hear-through is an important functionality for some applications in which there already exist real environmental sounds apart from those added virtually. If the real sounds are wanted, acousticallytransparent devices can be used so that real sounds can pass through unaltered for natural fusion with the virtual sounds [93][94][95]. In some other cases, real sounds might be unwanted and thus supposed to be reduced or removed.…”
Section: Display Technologymentioning
confidence: 99%
“…For AAR displays, acoustic hear-through is an important functionality for some applications in which there already exist real environmental sounds apart from those added virtually. If the real sounds are wanted, acousticallytransparent devices can be used so that real sounds can pass through unaltered for natural fusion with the virtual sounds [93][94][95]. In some other cases, real sounds might be unwanted and thus supposed to be reduced or removed.…”
Section: Display Technologymentioning
confidence: 99%
“…New techniques are therefore necessary to address such auditory issues. Binaural technologies [ 92 , 93 ] have the concrete potential to cover a prominent role but have still a marginal utilization in the metaverse, especially in the large platforms mostly used today.…”
Section: Challengesmentioning
confidence: 99%
“…DOA estimation of multiple sources demonstrates in its practical value in applications, such as camera steering, robot navigation, major noise source localization, and speech enhancement [2][3][4]. In addition, DOA information is convenient in the accurate rendering of the spatial effects of the sound sources and is important for audio reproduction in the audio metaverse [5,6]. However, various disturbances in real scenarios bring challenges to DOA estimation.…”
mentioning
confidence: 99%