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Proceedings Paper

Embedded high-quality multichannel audio coding
Author(s): Dai Yang; Hongmei Ai; Christos Kyriakakis; C.-C. Jay Kuo
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Paper Abstract

An embedded high-quality multichannel audio coding algorithm is proposed in this research. The Karhunen-Loeve Transform is applied to multichannel audio signals in the pre- processing stage to remove inter-channel redundancy. Then, after processing of several audio coding blocks, transformed coefficients are layered quantized and the bit stream is ordered according to their importance. The multichannel audio bit stream generated by the proposed algorithm has a fully progressive property, which is highly desirable for audio multicast applications in heterogenous networks. Experimental results show that, compared with the MPEG Advanced Audio Coding algorithm, the proposed algorithm achieves a better performance with both the object Mask-to- Noise-Ratio measurement and the subjective listening test at several different bit rates.

Paper Details

Date Published: 29 March 2001
PDF: 12 pages
Proc. SPIE 4313, Media Processors 2001, (29 March 2001); doi: 10.1117/12.420793
Show Author Affiliations
Dai Yang, Univ. of Southern California (United States)
Hongmei Ai, Univ. of Southern California (United States)
Christos Kyriakakis, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 4313:
Media Processors 2001
Sethuraman Panchanathan; V. Michael Bove; Subramania I. Sudharsanan, Editor(s)

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