B. De Man, M. Boerum, B. Leonard, R. King, G. Massenburg, and JO. D.. Reiss, "Perceptual Evaluation of Music Mixing Practices," Paper 9235, (2015 May.). doi:
B. De Man, M. Boerum, B. Leonard, R. King, G. Massenburg, and JO. D.. Reiss, "Perceptual Evaluation of Music Mixing Practices," Paper 9235, (2015 May.). doi:
Abstract: The relation of music production practices to preference is still poorly understood. Due to the highly complex process of mixing music, few studies have been able to reliably investigate mixing engineering, as investigating one process parameter or feature without considering the correlation with other parameters inevitably oversimplifies the problem. In this paper we present an experiment where different mixes of different songs, obtained with a representative set of audio engineering tools, are rated by experienced subjects. The relation between the perceived mix quality and sonic features extracted from the mixes is investigated, and we find that a number of features correlate with quality.
@article{de man2015perceptual,
author={de man, brecht and boerum, matthew and leonard, brett and king, richard and massenburg, george and reiss, joshua d.},
journal={journal of the audio engineering society},
title={perceptual evaluation of music mixing practices},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{de man2015perceptual,
author={de man, brecht and boerum, matthew and leonard, brett and king, richard and massenburg, george and reiss, joshua d.},
journal={journal of the audio engineering society},
title={perceptual evaluation of music mixing practices},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={the relation of music production practices to preference is still poorly understood. due to the highly complex process of mixing music, few studies have been able to reliably investigate mixing engineering, as investigating one process parameter or feature without considering the correlation with other parameters inevitably oversimplifies the problem. in this paper we present an experiment where different mixes of different songs, obtained with a representative set of audio engineering tools, are rated by experienced subjects. the relation between the perceived mix quality and sonic features extracted from the mixes is investigated, and we find that a number of features correlate with quality.},}
TY - paper
TI - Perceptual Evaluation of Music Mixing Practices
SP -
EP -
AU - De Man, Brecht
AU - Boerum, Matthew
AU - Leonard, Brett
AU - King, Richard
AU - Massenburg, George
AU - Reiss, Joshua D.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
TY - paper
TI - Perceptual Evaluation of Music Mixing Practices
SP -
EP -
AU - De Man, Brecht
AU - Boerum, Matthew
AU - Leonard, Brett
AU - King, Richard
AU - Massenburg, George
AU - Reiss, Joshua D.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - The relation of music production practices to preference is still poorly understood. Due to the highly complex process of mixing music, few studies have been able to reliably investigate mixing engineering, as investigating one process parameter or feature without considering the correlation with other parameters inevitably oversimplifies the problem. In this paper we present an experiment where different mixes of different songs, obtained with a representative set of audio engineering tools, are rated by experienced subjects. The relation between the perceived mix quality and sonic features extracted from the mixes is investigated, and we find that a number of features correlate with quality.
The relation of music production practices to preference is still poorly understood. Due to the highly complex process of mixing music, few studies have been able to reliably investigate mixing engineering, as investigating one process parameter or feature without considering the correlation with other parameters inevitably oversimplifies the problem. In this paper we present an experiment where different mixes of different songs, obtained with a representative set of audio engineering tools, are rated by experienced subjects. The relation between the perceived mix quality and sonic features extracted from the mixes is investigated, and we find that a number of features correlate with quality.
Authors:
De Man, Brecht; Boerum, Matthew; Leonard, Brett; King, Richard; Massenburg, George; Reiss, Joshua D.
Affiliations:
Queen Mary University of London, London, UK; McGill University, Montreal, QC, Canada; Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT); University of Nebraska at Omaha, Omaha, NE, USA(See document for exact affiliation information.)
AES Convention:
138 (May 2015)
Paper Number:
9235
Publication Date:
May 6, 2015Import into BibTeX
Subject:
Recording and Production
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17659
