Perceptual Evaluation of Model- and Signal-Based Predictors of the Mixing Time in Binaural Room Impulse Responses *

mixing time could be regarded as the momentwhenthediffusetailcannotbedistinguishedfromthatofanyotherpositionorlistener’sorien-tation in the room. This,forinstance, provides an opportunity forreducing the part ofbinauralroomimpulseresponsesthathastobeupdateddynamicallyinVirtualAcousticEnvironments.Several authors proposed model- and signal-based estimators for the mixing time in rooms.Our study aims at an evaluation of all measures as predictors of a perceptual mixing time.Therefore, we collected binaural impulse response data sets with an adjustable head and torsosimulatorforarepresentativesampleofrectangularshapedrooms.Alteringthetransitiontimeinto a homogeneous diffuse tail in real time in an adaptive, forced-choice listening test, wedeterminedjustaudibleperceptualmixingtimes.Weevaluatedtheperformanceofallpotentialpredictorsbylinearregressionandfinallyobtainedformulaetoestimatetheperceptualmixingtime from measured impulse responses or physical properties of the room.

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