Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88176
Title: Validation of binaural recordings with head tracking for use in soundscape evaluation
Authors: Ooi, Kenneth
Hong, Joo-Young
Lam, Bhan
Ong, Zhen Ting
Gan, Woon-Seng
Keywords: Virtual Reality
Soundscape
Issue Date: 2017
Source: Ooi, K., Hong, J.-Y., Lam, B., Ong, Z. T., & Gan, W.-S. (2017, August). Validation of binaural recordings with head tracking for use in soundscape evaluation. Paper presented at 46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017), Hong Kong, China.
Conference: 46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017)
Abstract: Given that sounds in real-life environments and soundscapes possess direction and distance cues, it is essential to replicate these cues in virtual reality (VR) simulations used for soundscape evaluation, to ensure that the results obtained have high ecological validity. One way to replicate the desired direction and distance cues of environmental sound sources in VR simulations is to use binaural recordings coupled with head tracking for playback, instead of regular binaural or stereo recordings. The effect of using binaural recordings coupled with head tracking in VR simulations for soundscape evaluations is thus investigated. Subjects were asked to evaluate soundscapes of in-situ locations. Subsequently, they were presented with VR reproductions of the same locations in a controlled laboratory environment. The reproductions used actual audio and video captured from the in-situ location, differing only in the type of audio used for playback. The subjects were asked to evaluate the VR soundscapes experienced using the different reproduction methods in a blind test. The validation of binaural recordings with head tracking for soundscape evaluation is based on the similarity of responses as compared to the in-situ locations, as well as the quality and immersiveness experienced by the subjects.
URI: https://hdl.handle.net/10356/88176
http://hdl.handle.net/10220/44567
Schools: School of Electrical and Electronic Engineering 
Research Centres: Digital Signal Processing Lab 
Rights: © 2017 The Author(s) (46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017)). This paper was published in 46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017) and is made available as an electronic reprint (preprint) with permission of The Author(s) (46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017)). One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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