In this paper, we propose a bandwidth-scalable stereo audio coding method based on a layered structure. The proposed stereo coding method encodes super-wideband (SWB) stereo signals and is able to decode either wideband (WB) stereo signals or SWB stereo signals, depending on the network congestion. The performance of the proposed stereo coding method is then compared with that of a conventional stereo coding method that separately decodes WB or SWB stereo signals, in terms of subjective quality, algorithmic delay, and computational complexity. Experimental results show that when stereo audio signals sampled at a rate of 32 kHz are compressed to 64 kbit/s, the proposed method provides significantly better audio quality with a 64-sample shorter algorithmic delay, and comparable computational complexity.
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Young Han LEE, Deok Su KIM, Hong Kook KIM, Jongmo SUNG, Mi Suk LEE, Hyun Joo BAE, "Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 12, pp. 2540-2544, December 2009, doi: 10.1587/transinf.E92.D.2540.
Abstract: In this paper, we propose a bandwidth-scalable stereo audio coding method based on a layered structure. The proposed stereo coding method encodes super-wideband (SWB) stereo signals and is able to decode either wideband (WB) stereo signals or SWB stereo signals, depending on the network congestion. The performance of the proposed stereo coding method is then compared with that of a conventional stereo coding method that separately decodes WB or SWB stereo signals, in terms of subjective quality, algorithmic delay, and computational complexity. Experimental results show that when stereo audio signals sampled at a rate of 32 kHz are compressed to 64 kbit/s, the proposed method provides significantly better audio quality with a 64-sample shorter algorithmic delay, and comparable computational complexity.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.2540/_p
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@ARTICLE{e92-d_12_2540,
author={Young Han LEE, Deok Su KIM, Hong Kook KIM, Jongmo SUNG, Mi Suk LEE, Hyun Joo BAE, },
journal={IEICE TRANSACTIONS on Information},
title={Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure},
year={2009},
volume={E92-D},
number={12},
pages={2540-2544},
abstract={In this paper, we propose a bandwidth-scalable stereo audio coding method based on a layered structure. The proposed stereo coding method encodes super-wideband (SWB) stereo signals and is able to decode either wideband (WB) stereo signals or SWB stereo signals, depending on the network congestion. The performance of the proposed stereo coding method is then compared with that of a conventional stereo coding method that separately decodes WB or SWB stereo signals, in terms of subjective quality, algorithmic delay, and computational complexity. Experimental results show that when stereo audio signals sampled at a rate of 32 kHz are compressed to 64 kbit/s, the proposed method provides significantly better audio quality with a 64-sample shorter algorithmic delay, and comparable computational complexity.},
keywords={},
doi={10.1587/transinf.E92.D.2540},
ISSN={1745-1361},
month={December},}
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TY - JOUR
TI - Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure
T2 - IEICE TRANSACTIONS on Information
SP - 2540
EP - 2544
AU - Young Han LEE
AU - Deok Su KIM
AU - Hong Kook KIM
AU - Jongmo SUNG
AU - Mi Suk LEE
AU - Hyun Joo BAE
PY - 2009
DO - 10.1587/transinf.E92.D.2540
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2009
AB - In this paper, we propose a bandwidth-scalable stereo audio coding method based on a layered structure. The proposed stereo coding method encodes super-wideband (SWB) stereo signals and is able to decode either wideband (WB) stereo signals or SWB stereo signals, depending on the network congestion. The performance of the proposed stereo coding method is then compared with that of a conventional stereo coding method that separately decodes WB or SWB stereo signals, in terms of subjective quality, algorithmic delay, and computational complexity. Experimental results show that when stereo audio signals sampled at a rate of 32 kHz are compressed to 64 kbit/s, the proposed method provides significantly better audio quality with a 64-sample shorter algorithmic delay, and comparable computational complexity.
ER -