The main focus of this article is to explore and investigate the fundamental constraints that should be at the basis of algorithm development in intelligent audio production systems. Through mix analysis and grounded theory strategies, a best-practices framework on the craft of mixing is sought out. Findings, while not to be taken as dogmatic, give a clear indication of preferred implementation strategies, and show what still needs to be done to fully understand the technical choices that audio mixing has incorporated throughout its history.
Pestana, Pedro; Reiss, Joshua
Affiliations: Catholic University of Oporto, Oporto, Portugal; Queen Mary University of London, London, UK(See document for exact affiliation information.)
AES Conference: 53rd International Conference: Semantic Audio (January 2014)
Paper Number: S2-2
Publication Date: January 27, 2014
Subject: Intelligent Audio Production
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