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Appl. Sci. 2016, 6(5), 123; doi:10.3390/app6050123

Psychoacoustic Approaches for Harmonic Music Mixing

Audio Information Processing, Technische Universität München, Arcisstraße 21, 80333 Munich, Germany
Sound and Music Computing Group, Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência - INESC TEC, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
This paper is an extended version of our paper “Harmonic Mixing Based on Roughness and Pitch Commonality” published in the Proceedings of the 18th International Conference on Digital Audio Effects (DAFx-15), Trondheim, Norway, 30 November–3 December 2015; pp. 185–192.
Author to whom correspondence should be addressed.
Academic Editor: Vesa Valimaki
Received: 29 February 2016 / Revised: 20 April 2016 / Accepted: 25 April 2016 / Published: 3 May 2016
(This article belongs to the Special Issue Audio Signal Processing)
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The practice of harmonic mixing is a technique used by DJs for the beat-synchronous and harmonic alignment of two or more pieces of music. In this paper, we present a new harmonic mixing method based on psychoacoustic principles. Unlike existing commercial DJ-mixing software, which determines compatible matches between songs via key estimation and harmonic relationships in the circle of fifths, our approach is built around the measurement of musical consonance. Given two tracks, we first extract a set of partials using a sinusoidal model and average this information over sixteenth note temporal frames. By scaling the partials of one track over ±6 semitones (in 1/8th semitone steps), we determine the pitch-shift that maximizes the consonance of the resulting mix. For this, we measure the consonance between all combinations of dyads within each frame according to psychoacoustic models of roughness and pitch commonality. To evaluate our method, we conducted a listening test where short musical excerpts were mixed together under different pitch shifts and rated according to consonance and pleasantness. Results demonstrate that sensory roughness computed from a small number of partials in each of the musical audio signals constitutes a reliable indicator to yield maximum perceptual consonance and pleasantness ratings by musically-trained listeners. View Full-Text
Keywords: audio content analysis; audio signal processing; digital DJ interfaces; music information retrieval; music technology; musical consonance; psychoacoustics; sound and music computing; spectral analysis audio content analysis; audio signal processing; digital DJ interfaces; music information retrieval; music technology; musical consonance; psychoacoustics; sound and music computing; spectral analysis

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gebhardt, R.B.; Davies, M.E.P.; Seeber, B.U. Psychoacoustic Approaches for Harmonic Music Mixing. Appl. Sci. 2016, 6, 123.

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