A framework for testing and comparing binaural models

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Title: A framework for testing and comparing binaural models
Authors: Dietz, M
Lestang, J-H
Majdak, P
Stern, RM
Marquardt, T
Ewert, SD
Hartmann, WM
Goodman, DFM
Item Type: Journal Article
Abstract: Auditory research has a rich history of combining experimental evidence with computational simulations of auditory processing in order to deepen our theoretical understanding of how sound is processed in the ears and in the brain. Despite significant progress in the amount of detail and breadth covered by auditory models, for many components of the auditory pathway there are still different model approaches that are often not equivalent but rather in conflict with each other. Similarly, some experimental studies yield conflicting results which has led to controversies. This can be best resolved by a systematic comparison of multiple experimental data sets and model approaches. Binaural processing is a prominent example of how the development of quantitative theories can advance our understanding of the phenomena, but there remain several unresolved questions for which competing model approaches exist. This article discusses a number of current unresolved or disputed issues in binaural modelling, as well as some of the significant challenges in comparing binaural models with each other and with the experimental data. We introduce an auditory model framework, which we believe can become a useful infrastructure for resolving some of the current controversies. It operates models over the same paradigms that are used experimentally. The core of the proposed framework is an interface that connects three components irrespective of their underlying programming language: The experiment software, an auditory pathway model, and task-dependent decision stages called artificial observers that provide the same output format as the test subject.
Issue Date: 28-Nov-2017
Date of Acceptance: 24-Nov-2017
ISSN: 0378-5955
Publisher: Elsevier
Start Page: 92
End Page: 106
Journal / Book Title: Hearing Research
Volume: 360
Copyright Statement: © 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Keywords: Auditory models
Binaural processing
Interaural time differences
Reproducible research
1103 Clinical Sciences
1109 Neurosciences
1116 Medical Physiology
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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