The aim of this research is to offer a spatialization alternative in VR engines (such as Unity) that bridges the gap left by regular spatializers for sounds in the near-?eld. In this paper, we detail the development of HRIRU,an API for spatialization of multiple sources in the near-?eld in real-time, and present a comparison between perceived distance accuracy achieved with native methods in Unity and that achieved with HRIRU. This comparison indicates that HRIRU could offer better spatialization, though scalability and performance should be improved.

Authors: Arevalo, Camilo; Sarria M., Gerardo M.; Villegas
Affiliations: Pontificia Universidad Javeriana Cali, Colombia; University of Aizu, Aizu, Japan(See document for exact affiliation information.)
AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science (July 2018)
Paper Number: EB1-7
Publication Date: July 30, 2018 Import into BibTeX
Session Subject: Spatialization; VR sound sources; Unity; Pure Data; HRIR
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=19647

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