Skip to main content

Research Repository

Advanced Search

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

Wilson, AD; Fazenda, BM

Authors

AD Wilson



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.

Citation

generating multitrack audio mixtures. Applied Sciences, 7(12), 1329. https://doi.org/10.3390/app7121329

Journal Article Type Article
Acceptance Date Dec 4, 2017
Online Publication Date Dec 20, 2017
Publication Date Dec 20, 2017
Deposit Date Dec 12, 2017
Publicly Available Date Jan 4, 2018
Journal Applied Sciences
Publisher MDPI
Volume 7
Issue 12
Pages 1329
DOI https://doi.org/10.3390/app7121329
Publisher URL http://dx.doi.org/10.3390/app7121329
Related Public URLs http://www.mdpi.com/journal/applsci

Files






You might also like



Downloadable Citations