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Article . 2012 . Peer-reviewed
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Conference object . 2011
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Article . 2012
Data sources: MPG.PuRe
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Assessing the Plausibility of Virtual Acoustic Environments

Authors: Lindau, Alexander; Weinzierl, Stefan;

Assessing the Plausibility of Virtual Acoustic Environments

Abstract

Aiming at the perceptual evaluation of virtual acoustic environments (VAEs), ‘plausibility’ is introduced as a quality criterion that can be of value for many applications of virtual realities. We suggest a definition as well as an experimental operationalization for plausibility, referring to the perceived agreement with the listener’s expectation towards an equivalent real acoustic event. A listening test methodology for the criterion-free assessment of the deviation from this non-explicit, inner reference is proposed. It requires the rating of corresponding real and simulated stimuli in a Yes/No test paradigm, and the analysis of the results according to signal detection theory. The specification of minimum effect hypotheses allows the testing of plausibility with any desired strictness. The approach is demonstrated with the perceptual evaluation of a system for dynamic binaural synthesis in two different development stages.

Country
Germany
Keywords

virtual acoustic environments, VAE, 534 Schall und verwandte Schwingungen, perception, acoustics, listening

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
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