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

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 pa...

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Main Authors: Alex Wilson, Bruno M. Fazenda
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/7/12/1329
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author Alex Wilson
Bruno M. Fazenda
author_facet Alex Wilson
Bruno M. Fazenda
author_sort Alex Wilson
collection DOAJ
description 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.
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spelling doaj.art-e11d266432ab4c13b66c94d74eb65c1d2022-12-22T03:33:29ZengMDPI AGApplied Sciences2076-34172017-12-01712132910.3390/app7121329app7121329Populating the Mix Space: Parametric Methods for Generating Multitrack Audio MixturesAlex Wilson0Bruno M. Fazenda1Acoustics Research Centre, School of Computing, Science and Engineering, University of Salford, Greater Manchester, Salford M5 4WT, UKAcoustics Research Centre, School of Computing, Science and Engineering, University of Salford, Greater Manchester, Salford M5 4WT, UKThe 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.https://www.mdpi.com/2076-3417/7/12/1329intelligent music productionmusic information retrievalmultitrack mixingstereo panningaudio equalisationtempo estimationspectral centroid
spellingShingle Alex Wilson
Bruno M. Fazenda
Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures
Applied Sciences
intelligent music production
music information retrieval
multitrack mixing
stereo panning
audio equalisation
tempo estimation
spectral centroid
title Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures
title_full Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures
title_fullStr Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures
title_full_unstemmed Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures
title_short Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures
title_sort populating the mix space parametric methods for generating multitrack audio mixtures
topic intelligent music production
music information retrieval
multitrack mixing
stereo panning
audio equalisation
tempo estimation
spectral centroid
url https://www.mdpi.com/2076-3417/7/12/1329
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