Perceptual Evaluation of Source Separation for Remixing Music
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H. Wierstorf, D. Ward, R. Mason, EM. M.. Grais, C. Hummersone, and MA. D.. Plumbley, "Perceptual Evaluation of Source Separation for Remixing Music," Paper 9880, (2017 October.). doi:
H. Wierstorf, D. Ward, R. Mason, EM. M.. Grais, C. Hummersone, and MA. D.. Plumbley, "Perceptual Evaluation of Source Separation for Remixing Music," Paper 9880, (2017 October.). doi:
Abstract: Music remixing is difficult when the original multitrack recording is not available. One solution is to estimate the elements of a mixture using source separation. However, existing techniques suffer from imperfect separation and perceptible artifacts on single separated sources. To investigate their influence on a remix, five state-of-the-art source separation algorithms were used to remix six songs by increasing the level of the vocals. A listening test was conducted to assess the remixes in terms of loudness balance and sound quality. The results show that some source separation algorithms are able to increase the level of the vocals by up to 6 dB at the cost of introducing a small but perceptible degradation in sound quality.
@article{wierstorf2017perceptual,
author={wierstorf, hagen and ward, dominic and mason, russell and grais, emad m. and hummersone, chris and plumbley, mark d.},
journal={journal of the audio engineering society},
title={perceptual evaluation of source separation for remixing music},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{wierstorf2017perceptual,
author={wierstorf, hagen and ward, dominic and mason, russell and grais, emad m. and hummersone, chris and plumbley, mark d.},
journal={journal of the audio engineering society},
title={perceptual evaluation of source separation for remixing music},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={music remixing is difficult when the original multitrack recording is not available. one solution is to estimate the elements of a mixture using source separation. however, existing techniques suffer from imperfect separation and perceptible artifacts on single separated sources. to investigate their influence on a remix, five state-of-the-art source separation algorithms were used to remix six songs by increasing the level of the vocals. a listening test was conducted to assess the remixes in terms of loudness balance and sound quality. the results show that some source separation algorithms are able to increase the level of the vocals by up to 6 db at the cost of introducing a small but perceptible degradation in sound quality.},}
TY - paper
TI - Perceptual Evaluation of Source Separation for Remixing Music
SP -
EP -
AU - Wierstorf, Hagen
AU - Ward, Dominic
AU - Mason, Russell
AU - Grais, Emad M.
AU - Hummersone, Chris
AU - Plumbley, Mark D.
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
TY - paper
TI - Perceptual Evaluation of Source Separation for Remixing Music
SP -
EP -
AU - Wierstorf, Hagen
AU - Ward, Dominic
AU - Mason, Russell
AU - Grais, Emad M.
AU - Hummersone, Chris
AU - Plumbley, Mark D.
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
AB - Music remixing is difficult when the original multitrack recording is not available. One solution is to estimate the elements of a mixture using source separation. However, existing techniques suffer from imperfect separation and perceptible artifacts on single separated sources. To investigate their influence on a remix, five state-of-the-art source separation algorithms were used to remix six songs by increasing the level of the vocals. A listening test was conducted to assess the remixes in terms of loudness balance and sound quality. The results show that some source separation algorithms are able to increase the level of the vocals by up to 6 dB at the cost of introducing a small but perceptible degradation in sound quality.
Music remixing is difficult when the original multitrack recording is not available. One solution is to estimate the elements of a mixture using source separation. However, existing techniques suffer from imperfect separation and perceptible artifacts on single separated sources. To investigate their influence on a remix, five state-of-the-art source separation algorithms were used to remix six songs by increasing the level of the vocals. A listening test was conducted to assess the remixes in terms of loudness balance and sound quality. The results show that some source separation algorithms are able to increase the level of the vocals by up to 6 dB at the cost of introducing a small but perceptible degradation in sound quality.
Authors:
Wierstorf, Hagen; Ward, Dominic; Mason, Russell; Grais, Emad M.; Hummersone, Chris; Plumbley, Mark D.
Affiliations:
University of Surrey, Guildford, Surrey, UK; Creative Tech (UK) Limited, Staines-upon-Thames, UK(See document for exact affiliation information.)
AES Convention:
143 (October 2017)
Paper Number:
9880
Publication Date:
October 8, 2017Import into BibTeX
Subject:
Perception—Part 3
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=19277