title: Mixing time prediction using spherical microphone arrays.
abstract: Human perception of room acoustics depends among others on the time of transition from early reflections to late reverberation in room impulse responses, which is known as mixing time. In this letter, a multi-channel mixing time prediction method is proposed, which in contrast to state-of-the-art channel-based predictors accounts for spatiotemporal properties of the sound field. The proposed diffuseness-based method is compared with existing model- and channel-based prediction methods through measurements and acoustic simulations, and is shown to correlate well with the perceptual mixing time. Furthermore, insights into relations between prediction methods and mixing time definitions based on reflection density are presented.
authors.affiliation: Fraunhofer Institute for Integrated Circuits IIS, Audio & Multimedia Division, 91058 Erlangen, Germany philipp.goetz@iis.fraunhofer.de, konrad.kowalczyk@agh.edu.pl, andreas.silzle@iis.fraunhofer.de.
authors.forename: Philipp
authors.initials: P
authors.lastname: Götz
authors.affiliation: Fraunhofer Institute for Integrated Circuits IIS, Audio & Multimedia Division, 91058 Erlangen, Germany philipp.goetz@iis.fraunhofer.de, konrad.kowalczyk@agh.edu.pl, andreas.silzle@iis.fraunhofer.de.
authors.forename: Konrad
authors.initials: K
authors.lastname: Kowalczyk
authors.affiliation: Fraunhofer Institute for Integrated Circuits IIS, Audio & Multimedia Division, 91058 Erlangen, Germany philipp.goetz@iis.fraunhofer.de, konrad.kowalczyk@agh.edu.pl, andreas.silzle@iis.fraunhofer.de.
authors.forename: Andreas
authors.initials: A
authors.lastname: Silzle
authors.affiliation: International Audio Laboratories Erlangen, 91058 Erlangen, Germany emanuel.habets@audiolabs-erlangen.de.
authors.forename: Emanuël A P
authors.initials: EA
authors.lastname: Habets
mesh_terms: D000162:Acoustics / Q000295:instrumentation*; D001307:Auditory Perception; D004867:Equipment Design; D005160:Facility Design and Construction; D006801:Humans; D008962:Models, Theoretical; D009038:Motion; D011312:Pressure; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013997:Time Factors; D014160:Transducers, Pressure