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Analysis by synthesis spatial audio coding

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posted on 11.10.2018, 15:44 by Ikhwana Elfitri, Xiyu ShiXiyu Shi, Ahmet KondozAhmet Kondoz
This 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 Processing

Volume

8

Issue

1

Pages

30 - 38

Citation

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 Technology

Version

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

09/05/2013

Publication date

2014-02-01

Notes

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

1751-9675

eISSN

1751-9683

Language

en

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