Embedded High-Quality Multichannel Audio Coding (bibtex)
by Yang, Dai, Ai, Hongmei, Kyriakakis, Chris and Kuo, C.-C. Jay
Abstract:
An embedded high-quality multi-channel audio coding algorithms is proposed in this research. The Karhunen-Loeve Transform (KLT) 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 propoesed 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 (AAC) algorithm, the proposed algorithm achieves a better performance with both the objective MNR (Mask-to-Noise-Ratio) measurement and the subjective listening test at several different bit rates.
Reference:
Embedded High-Quality Multichannel Audio Coding (Yang, Dai, Ai, Hongmei, Kyriakakis, Chris and Kuo, C.-C. Jay), In Conference on Media Processors, Symposium on Electronic Imaging, 2001.
Bibtex Entry:
@inproceedings{yang_embedded_2001,
	address = {San Jose, CA},
	title = {Embedded {High}-{Quality} {Multichannel} {Audio} {Coding}},
	url = {http://ict.usc.edu/pubs/Embedded%20High-Quality%20Multichannel%20Audio%20Coding.pdf},
	abstract = {An embedded high-quality multi-channel audio coding algorithms is proposed in this research. The Karhunen-Loeve Transform (KLT) 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 propoesed 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 (AAC) algorithm, the proposed algorithm achieves a better performance with both the objective MNR (Mask-to-Noise-Ratio) measurement and the subjective listening test at several different bit rates.},
	booktitle = {Conference on {Media} {Processors}, {Symposium} on {Electronic} {Imaging}},
	author = {Yang, Dai and Ai, Hongmei and Kyriakakis, Chris and Kuo, C.-C. Jay},
	month = jan,
	year = {2001}
}
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