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Neural Computing and Applications
Published in: Neural Computing and Applications 7/2011

01-10-2011 | ICONIP2009

Decoding ambisonic signals to irregular quad loudspeaker configuration based on hybrid ANN and modified tabu search

Authors: P. W. M. Tsang, K. W. K. Cheung, A. C. S. Leung

Published in: Neural Computing and Applications | Issue 7/2011

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Abstract

Past research has proven that a first-order B-format ambisonic signal can be used to partially reconstruct the original sound field through a collection of arbitrary positioned loudspeakers. This is achieved by setting the gain of each loudspeaker to be the weighted sum of the three components in the B-format signal. Deduction of the weighting factors (a.k.a. the decoding parameters) has been successfully accomplished with the use of the Modified Tabu Search (MTS), and later with the Heuristic Genetic Algorithm (HGA) which provides higher precision and stability. Despite the favorable outcome, both methods involve large amount of iterations and the computation time is lengthy. In this paper, we propose a scheme to overcome this problem based on the integration of Neural Network Estimation (NNE) and the MTS. Compared to HGA, the new approach is about two orders of magnitude faster, and at the same time capable of attaining similar precision in determining the decoding parameters.
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Appendix
Available only for authorised users
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Metadata
Title
Decoding ambisonic signals to irregular quad loudspeaker configuration based on hybrid ANN and modified tabu search
Authors
P. W. M. Tsang
K. W. K. Cheung
A. C. S. Leung
Publication date
01-10-2011
Publisher
Springer-Verlag
Published in
Neural Computing and Applications / Issue 7/2011
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-010-0397-1

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