Next Article in Journal / Special Issue
Virtual Analog Models of the Lockhart and Serge Wavefolders
Previous Article in Journal
A Bibliometric Study to Assess Bioprinting Evolution
Previous Article in Special Issue
Mobile Music, Sensors, Physical Modeling, and Digital Fabrication: Articulating the Augmented Mobile Instrument
Open AccessArticle

Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures

Acoustics Research Centre, School of Computing, Science and Engineering, University of Salford, Greater Manchester, Salford M5 4WT, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Tapio Lokki
Appl. Sci. 2017, 7(12), 1329; https://doi.org/10.3390/app7121329
Received: 31 October 2017 / Revised: 24 November 2017 / Accepted: 4 December 2017 / Published: 20 December 2017
(This article belongs to the Special Issue Sound and Music Computing)
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. View Full-Text
Keywords: intelligent music production; music information retrieval; multitrack mixing; stereo panning; audio equalisation; tempo estimation; spectral centroid intelligent music production; music information retrieval; multitrack mixing; stereo panning; audio equalisation; tempo estimation; spectral centroid
Show Figures

Figure 1

MDPI and ACS Style

Wilson, A.; Fazenda, B.M. Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures. Appl. Sci. 2017, 7, 1329.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop