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

Clicks: 190
ID: 128648
2017
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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.
Reference Key
wilson2017appliedpopulating Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Alex Wilson;Bruno M. Fazenda
Journal cancer immunology, immunotherapy : cii
Year 2017
DOI
10.3390/app7121329
URL
https://www.mdpi.com/2076-3417/7/12/1329
Keywords
music information retrieval

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