Robust Representation of Spatial Sound in Stereo-to-Multichannel Upmix
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S. Jeon, Y. Park, S. Lee, and D. Youn, "Robust Representation of Spatial Sound in Stereo-to-Multichannel Upmix," Paper 7976, (2010 May.). doi:
S. Jeon, Y. Park, S. Lee, and D. Youn, "Robust Representation of Spatial Sound in Stereo-to-Multichannel Upmix," Paper 7976, (2010 May.). doi:
Abstract: This paper presents a stereo-to-multichannel upmix algorithm based on source separation method. In the conventional upmix algorithms, panning source and ambient components are decomposed or separated by adaptive algorithm, i.e. least-squares (LS) or least-mean-square (LMS). Separation performance of those algorithms is easily influenced by primary to ambient energy ratio (PAR). Since PAR is time-varying, it causes the energy fluctuation of separated sound sources. To prevent this problem, we propose a robust separation algorithm using pseudo inverse matrix. And we propose a novel post-scaling algorithm to compensate for the influence of interference with considering desired multichannel format. Performance of the proposed upmix algorithm is confirmed by subjective listening test in ITU 3/2 format.
@article{jeon2010robust,
author={jeon, se-woon and park, young-cheol and lee, seok-pil and youn, dae-hee},
journal={journal of the audio engineering society},
title={robust representation of spatial sound in stereo-to-multichannel upmix},
year={2010},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{jeon2010robust,
author={jeon, se-woon and park, young-cheol and lee, seok-pil and youn, dae-hee},
journal={journal of the audio engineering society},
title={robust representation of spatial sound in stereo-to-multichannel upmix},
year={2010},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this paper presents a stereo-to-multichannel upmix algorithm based on source separation method. in the conventional upmix algorithms, panning source and ambient components are decomposed or separated by adaptive algorithm, i.e. least-squares (ls) or least-mean-square (lms). separation performance of those algorithms is easily influenced by primary to ambient energy ratio (par). since par is time-varying, it causes the energy fluctuation of separated sound sources. to prevent this problem, we propose a robust separation algorithm using pseudo inverse matrix. and we propose a novel post-scaling algorithm to compensate for the influence of interference with considering desired multichannel format. performance of the proposed upmix algorithm is confirmed by subjective listening test in itu 3/2 format.},}
TY - paper
TI - Robust Representation of Spatial Sound in Stereo-to-Multichannel Upmix
SP -
EP -
AU - Jeon, Se-Woon
AU - Park, Young-Cheol
AU - Lee, Seok-Pil
AU - Youn, Dae-Hee
PY - 2010
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2010
TY - paper
TI - Robust Representation of Spatial Sound in Stereo-to-Multichannel Upmix
SP -
EP -
AU - Jeon, Se-Woon
AU - Park, Young-Cheol
AU - Lee, Seok-Pil
AU - Youn, Dae-Hee
PY - 2010
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2010
AB - This paper presents a stereo-to-multichannel upmix algorithm based on source separation method. In the conventional upmix algorithms, panning source and ambient components are decomposed or separated by adaptive algorithm, i.e. least-squares (LS) or least-mean-square (LMS). Separation performance of those algorithms is easily influenced by primary to ambient energy ratio (PAR). Since PAR is time-varying, it causes the energy fluctuation of separated sound sources. To prevent this problem, we propose a robust separation algorithm using pseudo inverse matrix. And we propose a novel post-scaling algorithm to compensate for the influence of interference with considering desired multichannel format. Performance of the proposed upmix algorithm is confirmed by subjective listening test in ITU 3/2 format.
This paper presents a stereo-to-multichannel upmix algorithm based on source separation method. In the conventional upmix algorithms, panning source and ambient components are decomposed or separated by adaptive algorithm, i.e. least-squares (LS) or least-mean-square (LMS). Separation performance of those algorithms is easily influenced by primary to ambient energy ratio (PAR). Since PAR is time-varying, it causes the energy fluctuation of separated sound sources. To prevent this problem, we propose a robust separation algorithm using pseudo inverse matrix. And we propose a novel post-scaling algorithm to compensate for the influence of interference with considering desired multichannel format. Performance of the proposed upmix algorithm is confirmed by subjective listening test in ITU 3/2 format.
Authors:
Jeon, Se-Woon; Park, Young-Cheol; Lee, Seok-Pil; Youn, Dae-Hee
Affiliations:
Yonsei University, Seoul, Korea; Yonsei University, Gangwon, Korea; Korea Electronics Technology Institute (KETI), Seoul, Korea(See document for exact affiliation information.)
AES Convention:
128 (May 2010)
Paper Number:
7976
Publication Date:
May 1, 2010Import into BibTeX
Subject:
Recording, Production, and Reproduction—Multichannel and Spatial Audio
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=15273