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Proceedings Paper

Exploration of Karhunen-Loeve transform for multichannel audio coding
Author(s): Dai Yang; Hongmei Ai; Christos Kyriakakis; C.-C. Jay Kuo
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Paper Abstract

A new quality-scalable multichannel audio compression algorithm based on MPEG-2 Advanced Audio Coding (AAC) is developed in this work. The Karhunen-Loeve Transform (KLT) is applied to multichannel audio signals in the preprocessing stage to remove the inter-channel redundancy. Then, signals in de-correlated channels are compressed by using a modified AAC main profile encoder. Finally, a channel transmission control mechanism is used to re-organize the bit stream so that the multichannel audio bit stream has a quality scalable property when it is transmitted over a heterogeneous network. Experimental results show that, compared with AAC, the proposed algorithm achieves a better performance with the objective Mask-to-Noise-Ratio (MNR) measurement while maintaining a similar computational complexity at the regular bit rate of 64 kbit/sec/ch. When the bit stream is transmitted to narrowband end users at a lower bit rate, packets of some channels can be dropped and audio of full channel can still be reconstructed in a reasonable fashion.

Paper Details

Date Published: 28 December 2000
PDF: 12 pages
Proc. SPIE 4207, Digital Cinema and Microdisplays, (28 December 2000); doi: 10.1117/12.411763
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. 4207:
Digital Cinema and Microdisplays
Christopher B. Chinnock, Editor(s)

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