Populating the mix space : parametric methods for generating multitrack audio mixtures

Wilson, AD and Fazenda, BM ORCID: 0000-0002-3912-0582 2017, 'Populating the mix space : parametric methods for generating multitrack audio mixtures' , Applied Sciences, 7 (12) , p. 1329.

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Abstract

The creation of multitrack mixes by audio engineers is a time-consuming activity and creating high-quality mixes requires a great deal of knowledge and experience. Previous studies on the perception of music mixes have been limited by the relatively small number of human-made mixes analysed. This paper describes a novel mix-space, a parameter space which contains all possible mixes using a finite set of tools, as well as methods for the parametric generation of artificial mixes in this space. Mixes that use track gain, panning and equalisation are considered. This allows statistical methods to be used in the study of music mixing practice, such as Monte Carlo simulations or population-based optimisation methods. Two applications are described: an investigation into the robustness and accuracy of tempo-estimation algorithms and an experiment to estimate distributions of spectral centroid values within sets of mixes. The potential for further work is also described.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Applied Sciences
Publisher: MDPI
ISSN: 2076-3417
Related URLs:
Depositing User: A Johnson
Date Deposited: 12 Dec 2017 12:05
Last Modified: 16 Jul 2018 10:46
URI: http://usir.salford.ac.uk/id/eprint/44613

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