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.
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, 2015
Subject: Recording and Production
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