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Perceptual models for sound field analysis and synthesis

Perceptual models for sound field analysis and synthesis
Perceptual models for sound field analysis and synthesis
This thesis describes the methodology that has been followed for the implementation of a biologically inspired auditory signal processing model that predicts human sound localization of stationary acoustic sound sources in 3D space. The intended use of the model is for the evaluation of audio systems. An attempt is made to develop both a theoretical and mathematical framework that can be adopted as a generalized theory for the development of biologically inspired models of human sound localization. The model makes use of a combination of monaural and binaural cues and within a psychoacoustical framework makes predictions of the location of a sound source given the sound presence signals delivered to the ears. Finally, the effectiveness of the model is evaluated through comparison with the experimental results of a listening test in which a number of human subjects made judgements of the location of real sound sources in 3D space under anechoic conditions.
Mattes, Symeon
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Mattes, Symeon
5e03e989-678a-478f-a8c6-237201342adf
Nelson, Philip
5c6f5cc9-ea52-4fe2-9edf-05d696b0c1a9

(2016) Perceptual models for sound field analysis and synthesis. University of Southampton, Engineering and the Environment, Doctoral Thesis, 344pp.

Record type: Thesis (Doctoral)

Abstract

This thesis describes the methodology that has been followed for the implementation of a biologically inspired auditory signal processing model that predicts human sound localization of stationary acoustic sound sources in 3D space. The intended use of the model is for the evaluation of audio systems. An attempt is made to develop both a theoretical and mathematical framework that can be adopted as a generalized theory for the development of biologically inspired models of human sound localization. The model makes use of a combination of monaural and binaural cues and within a psychoacoustical framework makes predictions of the location of a sound source given the sound presence signals delivered to the ears. Finally, the effectiveness of the model is evaluated through comparison with the experimental results of a listening test in which a number of human subjects made judgements of the location of real sound sources in 3D space under anechoic conditions.

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Final e-thesis for e-prints Mattes 25111353.pdf - Other
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More information

Published date: April 2016
Organisations: University of Southampton, Signal Processing & Control Grp

Identifiers

Local EPrints ID: 397216
URI: http://eprints.soton.ac.uk/id/eprint/397216
PURE UUID: 1767f590-62cc-430e-a081-96cd611ba543

Catalogue record

Date deposited: 22 Jun 2016 13:52
Last modified: 11 Jun 2018 16:31

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