Assessing the Plausibility of Virtual Acoustic Environments
Alexander Lindau, Stefan Weinzierl
Abstract
Alexander Lindau, Stefan Weinzierl
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 in virtual acoustics. We suggest a definition as well as an experimental operationalization for plausibility, referring to the perceived agreement with the listener's expectation towards a corresponding real acoustic event. The measurement model includes the criterion-free assessment of the deviation from this non-explicit, inner reference by rating corresponding real and simulated stimuli in a Yes/No test paradigm and analyzing the results according to signal detection theory. The specification of a minimum effect hypothesis allows 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.
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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 in virtual acoustics. We suggest a definition as well as an experimental operationalization for plausibility, referring to the perceived agreement with the listener's expectation towards a corresponding real acoustic event. The measurement model includes the criterion-free assessment of the deviation from this non-explicit, inner reference by rating corresponding real and simulated stimuli in a Yes/No test paradigm and analyzing the results according to signal detection theory. The specification of a minimum effect hypothesis allows 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.
Key concepts: Acoustics, Computer science, Physics