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Open AccessBook Chapter

Navigating the mix-space : theoretical and practical level-balancing technique in multitrack music mixtures

TLDR
In this paper, a method of transformation from a gain-space to a mix-space using a novel representation of the individual track gains is introduced, and an experiment is conducted in order to obtain time-series data of mix engineers exploration of this space as they adjust levels within a multitrack session to create their desired mixture.
Abstract
The mixing of audio signals has been at the foundation of audio production since the advent of electrical recording in the 1920’s, yet the mathematical and psychological bases for this activity are relatively under-studied. This paper investigates how the process of mixing music is conducted. We introduce a method of transformation from a “gain-space” to a “mix-space”, using a novel representation of the individual track gains. An experiment is conducted in order to obtain time-series data of mix engineers exploration of this space as they adjust levels within a multitrack session to create their desired mixture. It is observed that, while the exploration of the space is influenced by the initial configuration of track gains, there is agreement between individuals on the appropriate gain settings required to create a balanced mixture. Implications for the design of intelligent music production systems are discussed.

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Citations
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Dissertation

Towards a better understanding of mix engineering

Brecht De Man
TL;DR: In this article, the authors present an analysis and evaluation of real-life mixes, demonstrating that it is a viable and even necessary approach to learn more about how mixes are created and perceived.

An evolutionary computation approach to intelligent music production informed by experimentally gathered domain knowledge

AD Wilson, +1 more
TL;DR: A novel methodology for intelligent music production has been developed using evolutionary computation, allowing the user to rate mixes and guide the system towards their ideal mix.
Dissertation

Evaluation and modelling of perceived audio quality in popular music, towards intelligent music production

AD Wilson
TL;DR: To create mixes which maximised perceived quality, a novel semi-automatic mixing system was developed using evolutionary computation, wherein a population of mixes, generated in the mix-space, is guided by the subjective evaluations of the listener.

Investigating Music Production using a Semantically Powered Digital Audio Workstation in the Browser

TL;DR: It is shown that participants often exhibit commonalities in mixing styles when applying gain and panning to specific instruments in a mix, and common temporal characteristics relating to the magnitude of parameter adjustments.
References
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Journal ArticleDOI

Musical instrument recognition by pairwise classification strategies

TL;DR: It is shown that higher recognition rates can be reached with pairwise optimized subsets of features in association with SVM classification using a radial basis function kernel.
Book ChapterDOI

ISO 9000:2000 Quality Management System

TL;DR: This chapter presents the requirements of the standard in a way that is as close as possible to the needs of analytical laboratories and the guidelines for performance improvement set out in the ISO 9004 are reviewed.
Proceedings ArticleDOI

Automatic gain and fader control for live mixing

TL;DR: A cross-adaptive mixing device has been developed for the purpose of optimizing the gain levels of a live audio mixture by optimizing the ratios between the loudness of each individual input channel and the overall loudness contained in a stereo mix.

Intelligent Audio Production Strategies Informed by Best Practices

TL;DR: The main focus of this article is to explore and investigate the fundamental constraints that should be at the basis of algorithm development in intelligent audio production systems through mix analysis and grounded theory strategies, and argue that a more thorough exploration on what the premises are is essential for more effective mapping and design strategies in intelligentaudio production tools.
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