Multi-channel low-frequency room equalization using perceptually motivated constrained optimization

We consider the problem of multiple-loudspeaker low-frequency room equalization for a wide listening area, where the equalized loudspeaker is helped using the remaining ones. Using a spatial discretization of the listening area, we formulate the problem as a multipoint error minimization between desired and synthesized magnitude frequency responses. The desired response and cost function are formulated with a goal of capturing the room's spectral power profile, and penalizing strong resonances. Considering physical and psychoacoustical observations, we argue for the use of gain-limited, short, and well-localized equalization filters, with an additional delay for loudspeakers that help the equalized one. We propose a convex optimization framework for computing room equalization filters, where the mentioned filter requirements are incorporated as convex constraints. We verify the effectiveness of our equalization approach through simulations.


Published in:
2012 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp), 533-536
Presented at:
IEEE International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japan, March 25-30, 2012
Year:
2012
Publisher:
New York, Ieee
ISBN:
978-1-4673-0046-9
Keywords:
Laboratories:




 Record created 2012-01-21, last modified 2018-09-13

Poster:
Download fulltextPDF
n/a:
Download fulltextPDF
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)