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Wilson, AD; Fazenda, BM
Publisher: Sound and Music Computing
Languages: English
Types: Conference object
Subjects: media_dig_tech_and_creative_econ
The mixing of audio signals has been at the foundation of\ud 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\ud individuals on the appropriate gain settings required\ud to create a balanced mixture. Implications for the design\ud of intelligent music production systems are discussed.
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    • [1] M. Terrell, A. Simpson, and M. Sandler, “The Mathematics of Mixing,” Journal of the Audio Engineering Society, vol. 62, no. 1, 2014.
    • [2] “ISO 9000:2005 Quality management systems - Fundamentals and vocabulary,” 2009, http://www.iso.org/ iso/catalogue detail?csnumber=42180.
    • [3] R. King, B. Leonard, and G. Sikora, “Consistency of balance preferences in three musical genres,” in Audio Engineering Society Convention 133, San Francisco, USA, October 2012.
    • [4] --, “Variance in level preference of balance engineers: A study of mixing preference and variance over time,” in Audio Engineering Society Convention 129. San Francisco, USA: Audio Engineering Society, Nov 2010.
    • [5] E. Perez-Gonzalez and J. Reiss, “Automatic gain and fader control for live mixing,” in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009. WASPAA'09. IEEE, 2009, pp. 1-4.
    • [6] S. Mansbridge, S. Finn, and J. D. Reiss, “Implementation and evaluation of autonomous multi-track fader control,” in Audio Engineering Society Convention 132, Budapest, Hungary, April 2012.
    • [7] P. Pestana and J. D. Reiss, “Intelligent Audio Production Strategies Informed by Best Practices,” in AES 53rd International Conference: Semantic Audio, London, UK, January 2014, pp. 1-9.
    • [8] J. Reiss and B. De Man, “A semantic approach to autonomous mixing,” Journal on the Art of Record Production, vol. Issue 8, Dec. 2013.
    • [9] E. Deruty, F. Pachet, and P. Roy, “Human-Made Rock Mixes Feature Tight Relations Between Spectrum and Loudness,” Journal of the Audio Engineering Society, vol. 62, no. 10, pp. 643-653, 2014.
    • [10] B. De Man, B. Leonard, R. King, and J. Reiss, “An analysis and evaluation of audio features for multitrack music mixtures,” in ISMIR, Taipei, Taiwan, October 2014, pp. 137-142.
    • [11] M. Cartwright, B. Pardo, and J. Reiss, “Mixploration: rethinking the audio mixer interface,” in International Conference on Intelligent User Interfaces, Haifa, Israel, February 2014.
    • [12] A. Wilson and B. Fazenda, “Perception & evaluation of audio quality in music production,” in Proc. of the 16th Int. Conference on Digital Audio Effects (DAFx13), Maynooth, Ireland, 2013, pp. 1-6.
    • [13] --, “Characterisation of distortion profiles in relation to audio quality,” in Proc. of the 17th Int. Conference on Digital Audio Effects (DAFx-14), Erlangen, Germany, 2014, pp. 1-6.
    • [14] P. D. Pestana, J. D. Reiss, and A. Barbosa, “Loudness measurement of multitrack audio content using modifications of itu-r bs. 1770,” in Audio Engineering Society Convention 134, Rome, Italy, May 2013.
    • [15] R. L. King, B. Leonard, and G. Sikora, “Loudspeakers and headphones: The effects of playback systems on listening test subjects,” in Proc. of the 2013 Int. Congress on Acoustics, Montre´al, Canada, June 2013.
    • [16] S. Essid, G. Richard, and B. David, “Musical instrument recognition by pairwise classification strategies,” Audio, Speech, and Language Processing, IEEE Transactions on, vol. 14, no. 4, pp. 1401-1412, 2006.
    • [17] V. Arora and L. Behera, “Musical source clustering and identification in polyphonic audio,” IEEE/ACM Trans. Audio, Speech and Lang. Proc., vol. 22, no. 6, pp. 1003-1012, Jun. 2014.
    • [18] J. Scott and Y. E. Kim, “Instrument identification informed multi-track mixing.” in ISMIR, Curitiba, Brazil, October 2013, pp. 305-310.
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