Higher-order listening room compensation with additive compensation signals

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Hofmann C, Günther M, Bürger M, Kellermann W
Publishing place: Shanghai, China
Publication year: 2016
Pages range: 534-538
ISBN: 978-1-4799-9988-0
ISSN: 2379-190X
Language: English


Abstract

The performance of sound reproduction systems for spatial audio is impaired by time-variant, reverberant listening environments. To tackle this issue, the Loudspeaker-Enclosure-Microphone System (LEMS) between the loudspeakers and reference microphones in the listening environment can be identified adaptively to allow  an LEMS-specific pre-processing of the loudspeaker signals. This contribution introduces a broadband implementation of a narrowband Listening Room Compensation (LRC) method with additive compensation signals, recently proposed by Talagala et al. [1], it extends the concept to higher-order compensation, and compares LRC to Listening Room Equalization (LRE) analytically. Evaluations in an image-source environment confirm the efficacy of higher-order LRC and its suitability as a complexity-reduced alternative to LRE


FAU Authors / FAU Editors

Bürger, Michael
Professur für Nachrichtentechnik
Günther, Michael
Professur für Nachrichtentechnik
Hofmann, Christian
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Hofmann, C., Günther, M., Bürger, M., & Kellermann, W. (2016). Higher-order listening room compensation with additive compensation signals. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 534-538). Shanghai, CN: Shanghai, China.

MLA:
Hofmann, Christian, et al. "Higher-order listening room compensation with additive compensation signals." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai Shanghai, China, 2016. 534-538.

BibTeX: 

Last updated on 2019-18-04 at 18:08