The University of Southampton
University of Southampton Institutional Repository

An auditory process model for the evaluation of virtual acoustic imaging systems

An auditory process model for the evaluation of virtual acoustic imaging systems
An auditory process model for the evaluation of virtual acoustic imaging systems
This paper describes the initial application of an auditory process model to the evaluation of various virtual acoustic imaging systems. The model has been designed to simulate human binaural hearing by means of an equalization-cancellation process for the binaural process and a template-matching with frequency weighting for the central process, while linear and nonlinear filters have been employed for the peripheral process. The model prediction has been shown to be consistent with the performance of human spatial hearing in case of localization of white Gaussian noise and the lateralization of low-frequency pure tones. In this paper virtual acoustic images presented by conventional stereophony, the stereo dipole, and the optimal source distribution have been tested on the optimal listening positions, following a discussion on the template matching process of the model. The simulation results suggest that the current model, with certain limitations, can be a good predictor of the fidelity of such systems in providing a virtual sound image.
Audio Engineering Society
Park, Munhum
fb2dcffb-c543-4f89-aa05-1fe3b0f873a9
Nelson, Philip A.
5c6f5cc9-ea52-4fe2-9edf-05d696b0c1a9
Kim, Youngtae
e3d9699e-0938-47b3-8346-4942fed62de2
Park, Munhum
fb2dcffb-c543-4f89-aa05-1fe3b0f873a9
Nelson, Philip A.
5c6f5cc9-ea52-4fe2-9edf-05d696b0c1a9
Kim, Youngtae
e3d9699e-0938-47b3-8346-4942fed62de2

Park, Munhum, Nelson, Philip A. and Kim, Youngtae (2006) An auditory process model for the evaluation of virtual acoustic imaging systems. In Proceedings of the 120th AES Convention. Audio Engineering Society..

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes the initial application of an auditory process model to the evaluation of various virtual acoustic imaging systems. The model has been designed to simulate human binaural hearing by means of an equalization-cancellation process for the binaural process and a template-matching with frequency weighting for the central process, while linear and nonlinear filters have been employed for the peripheral process. The model prediction has been shown to be consistent with the performance of human spatial hearing in case of localization of white Gaussian noise and the lateralization of low-frequency pure tones. In this paper virtual acoustic images presented by conventional stereophony, the stereo dipole, and the optimal source distribution have been tested on the optimal listening positions, following a discussion on the template matching process of the model. The simulation results suggest that the current model, with certain limitations, can be a good predictor of the fidelity of such systems in providing a virtual sound image.

This record has no associated files available for download.

More information

Published date: 2006
Additional Information: P29-9 Poster
Venue - Dates: AES Paris 2006, Paris, France, 2006-05-19 - 2006-05-22

Identifiers

Local EPrints ID: 43450
URI: http://eprints.soton.ac.uk/id/eprint/43450
PURE UUID: e99f75ce-28dd-4194-97c0-a88cd1d6a553
ORCID for Philip A. Nelson: ORCID iD orcid.org/0000-0002-9563-3235

Catalogue record

Date deposited: 15 Feb 2007
Last modified: 18 Mar 2022 02:32

Export record

Contributors

Author: Munhum Park
Author: Youngtae Kim

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×