Perceived Quality of Binaural Rendering From Baffled Microphone Arrays Evaluated Without an Explicit Reference
Journal article, 2024

The authors present a perceptual evaluation of the binaural rendering quality of signals
from several types of baffled microphone arrays. They employ the multi-stimulus category
rating (MuSCR) paradigm that does not require a reference stimulus. The tested conditions
also comprise a very high numerical accuracy stimulus, given the highest quality rating in
approximately half of the multi-stimulus trials. A comparison with the literature on spherical
microphone arrays (SMAs) shows that MuSCR allows for drawing representative conclusions
regarding the dependency of the perceived quality on the array and rendering parameters as in
previous experiments with an explicit high-fidelity reference. The authors applied the MuSCR
paradigm to evaluate the perceived reproduction quality of equatorial microphone arrays
(EMAs) with microphones only along the equator of the spherical baffle and of equatorial
arrays with a nonspherical baffle (XMAs). The results endorse the observations from SMAs
that an increasing spherical harmonic order leads to improved perceived quality. The authors
also confirm that EMAs lead to the same perceived quality as SMAs despite the substantial
difference in the number of microphones. Magnitude equalization of artifacts from spatial
undersampling can be very effective for XMAs the raw solution deviates significantly from
the other array types at high frequencies.

Author

Hannes Helmholz

Chalmers, Architecture and Civil Engineering, Applied Acoustics

Jeffrey Crukley

McMaster University

Sebastia V. Amengual Gari

Reality Labs Research

Zamir Ben-Hur

Reality Labs Research

Jens Ahrens

Chalmers, Architecture and Civil Engineering, Applied Acoustics

Journal of The Audio Engineering Society

0004-7554 (ISSN)

Vol. 72 10 691-704

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

Signal Processing

DOI

10.17743/jaes.2022.0164

More information

Latest update

11/20/2024