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The MIR Perspective on the Evolution of Dynamics in Mainstream Music
International Society for Music Information Retrieval Conference, 2015Understanding the evolution of mainstream music is of high interest for the music production industry. In this context, we argue that a MIR perspective may be used to highlight, in particular, relations between dynamics and various properties of ...
Emmanuel Deruty, F. Pachet
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Musical dynamics with keyboard instruments
The Journal of the Acoustical Society of America, 1989Keyboard instruments provide the extreme cases of wide or narrow dynamic ranges. The harpsichord mechanism apparently has a fixed dynamic level, aside from registration changes. But performers do claim to have some expressive control, and it may be asked whether measureable physical differences can be demonstrated.
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Isolating the dynamic attributes of musical timbrea)
The Journal of the Acoustical Society of America, 1993Three experiments examined the dynamic attributes of timbre by evaluating the role of onsets in similarity judgments. In separate experiments, subjects heard complete orchestral instrument tones, the onsets of those tones, and tones with the onsets removed (‘‘remainders’’).
Paul Iverson, Carol L. Krumhansl
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A Dynamical Systems Perspective on Music
Journal of Musicology, 1997Any analytical approach makes a claim about the nature of its object and what is important in it. It is appropriate therefore for me to preface my advocacy of a dynamical systems approach to the analysis of music with a brief statement of my own view of music, concentrating on two points.
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EEG dynamics during music appreciation
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009This study explores the electroencephalographic (EEG) correlates of emotions during music listening. Principal component analysis (PCA) is used to correlate EEG features with complex music appreciation. This study also applies machine-leaning algorithms to demonstrate the feasibility of classifying EEG dynamics in four subjectively-reported emotional ...
Tzyy-Ping Jung+2 more
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Symmetries and dynamics of musical scales
The Journal of the Acoustical Society of America, 2001Configurational potential energy, as well as complexity, may be used as a measure for musical scales. To show this, complexities C(n) and energies E(n) of equally tempered scales with the interval structure n={n1,n2,...,nM} for N=12 semitones and M=7 notes are compared. Complexity is the sum of sharps and flats in a scale.
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Dynamic Semantic Music Notation
2017The Music Encoding Initiative (MEI) XML schema expresses musical structure addressing score elements at musically meaningful levels of granularity (e.g., individual systems, measures, or notes). While this provides a comprehensive representation of music content, only concepts and relationships provided by the MEI schema can be encoded.
David M. Weigl, Kevin R. Page
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Adaptive dynamics of musical listening
Contemporary Music Review, 1989The paper addressess issues related to the self-organization of the musical mind during perceptual learning: in particular, adaptation and changes of mental musical representations. The change of representation in response to perceptual information is called adaptive dynamics: a key concept in our understanding of all musical information processing ...
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Co-evolutionary dynamics in the music industry
International Journal of Organizational Analysis, 2018Purpose What effects does radical innovation produce on the dialectical relationship between enterprises and their environment? In this paper, by adopting the dynamic adaptation matrix methodological framework, the author addresses this research question by discussing the evolution of the music industry in the period of 1999-2013.
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Characterizing music dynamics for improvisation
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2005Characterizing music dynamics is important for music generation, music analogies, music retrieval, music improvisation etc. Though there has been some works on modeling music, most of them do not consider the temporal or dynamical aspects of music. In this paper we show that it is possible to characterize music dynamics using linear prediction.
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