Room geometry inference based on spherical microphone array eigenbeam processing

Journal article
(Original article)

Publication Details

Author(s): Mabande E, Kowalczyk K, Sun H, Kellermann W
Journal: Journal of the Acoustical Society of America
Publisher: Acoustical Society of America
Publication year: 2013
Volume: 134
Journal issue: 4
Pages range: 2773-2789
ISSN: 0001-4966
Language: English


The knowledge of parameters characterizing an acoustic environment, such as the geometric information about a room, can be used to enhance the performance of several audio applications. In this paper, a novel method for three-dimensional room geometry inference based on robust and high-resolution beamforming techniques for spherical microphone arrays is presented. Unlike other approaches that are based on the measurement and processing of multiple room impulse responses, here, microphone array signal processing techniques for uncontrolled broadband acoustic signals are applied. First, the directions of arrival (DOAs) and time differences of arrival (TDOAs) of the direct signal and room reflections are estimated using high-resolution robust broadband beamforming techniques and cross-correlation analysis. In this context, the main challenges include the low reflected-signal to background-noise power ratio, the low energy of reflected signals relative to the direct signal, and their strong correlation with the direct signal and among each other. Second, the DOA and TDOA information is combined to infer the room geometry using geometric relations. The high accuracy of the proposed room geometry inference technique is confirmed by experimental evaluations based on both simulated and measured data for moderately reverberant rooms. © 2013 Acoustical Society of America.

FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Kowalczyk, Konrad Dr.
International Audio Laboratories Erlangen (AudioLabs)
Mabande, Edwin
Professur für Nachrichtentechnik

External institutions with authors

NTNU Trondheim - Norwegian University of Science and Technology

How to cite

Mabande, E., Kowalczyk, K., Sun, H., & Kellermann, W. (2013). Room geometry inference based on spherical microphone array eigenbeam processing. Journal of the Acoustical Society of America, 134(4), 2773-2789.

Mabande, Edwin, et al. "Room geometry inference based on spherical microphone array eigenbeam processing." Journal of the Acoustical Society of America 134.4 (2013): 2773-2789.


Last updated on 2018-04-12 at 20:50