SPR-2013-0015-PROOF.pdf (813.75 kB)
Analysis by synthesis spatial audio coding
journal contribution
posted on 2018-10-11, 15:44 authored by Ikhwana Elfitri, Xiyu ShiXiyu Shi, Ahmet KondozThis study presents a novel spatial audio coding (SAC) technique, called analysis by synthesis SAC (AbS-SAC), with a capability of minimising signal distortion introduced during the encoding processes. The reverse one-to-two (R-OTT), a module applied in the MPEG Surround to down-mix two channels as a single channel, is first configured as a closed-loop system. This closed-loop module offers a capability to reduce the quantisation errors of the spatial parameters, leading to an improved quality of the synthesised audio signals. Moreover, a sub-optimal AbS optimisation, based on the closed-loop R-OTT module, is proposed. This algorithm addresses a problem of practicality in implementing an optimal AbS optimisation while it is still capable of improving further the quality of the reconstructed audio signals. In terms of algorithm complexity, the proposed sub-optimal algorithm provides scalability. The results of objective and subjective tests are presented. It is shown that significant improvement of the objective performance, when compared to the conventional open-loop approach, is achieved. On the other hand, subjective test show that the proposed technique achieves higher subjective difference grade scores than the tested advanced audio coding multichannel.
Funding
This work was supported by the ROMEO project (grant number: 287896), which was funded by the EC FP7 ICT collaborative research programme.
History
School
- Loughborough University London
Published in
IET Signal ProcessingVolume
8Issue
1Pages
30 - 38Citation
ELFITRI, I., SHI, X. and KONDOZ, A., 2014. Analysis by synthesis spatial audio coding. IET Signal Processing, 8 (1), pp.30-38.Publisher
© The Institution of Engineering and TechnologyVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2013-05-09Publication date
2014-02-01Notes
This paper is a postprint of a paper submitted to and accepted for publication in IET Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.ISSN
1751-9675eISSN
1751-9683Publisher version
Language
- en
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