In this work the long-term spectral contours of a large dataset of popular commercial recordings were analyzed. The aim was to analyze overall trends, as well as yearly and genre-specific ones. A novel method for averaging spectral distributions is proposed that yields results that are prone to comparison. With it, we found out that there is a consistent leaning toward a target equalization curve that stems from practices in the music industry but also to some extent mimics natural, acoustic spectra of ensembles.
Pestana, Pedro Duarte; Ma, Zheng; Reiss, Joshua D.; Barbosa, Alvaro; Black, Dawn A. A.
Affiliations: Catholic University of Oporto - CITAR, Oporto, Portugal; Lusíada Universityof Portugal (ILID); Centro de Estatística e Aplicacoes; Queen Mary University of London, London, UK(See document for exact affiliation information.)
AES Convention: 135 (October 2013) Paper Number: 8960
Publication Date: October 16, 2013
Subject: Recording and Production
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