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Complex dynamics and musical structure
Interface, 1990Abstract A piece of music is generally perceived as the time evolution of acoustical signals, but, because of its complexity, the intrinsic dynamics of the music cannot be easily identified or characterized. A musical sequence can also be considered as the time series resulting from a dynamical phenomenon.
Boon, Jean‐pierre+2 more
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Dynamical Music with Musical Boolean Networks
2018An extended Boolean network model is investigated as a possible medium in which a human composer can write music. A Boolean network is a simple discrete-time dynamical system whose state is characterised by the states of its constituent Boolean-valued vertices.
George Gabriel, Susan Stepney
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The functional dynamics of music
Music and Letters, 1948THE approach to the study of the nature of music must start with its origins. But Scores of philosophers, economists and scientists have in the last two hundred years attempted to get to the truth, and yet have not been able to present as much as one acceptable theory, indeed, one uncontested fact. . . . Music . . .
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Modeling Music as a Dynamic Texture
IEEE Transactions on Audio, Speech, and Language Processing, 2010We consider representing a short temporal fragment of musical audio as a dynamic texture, a model of both the timbral and rhythmical qualities of sound, two of the important aspects required for automatic music analysis. The dynamic texture model treats a sequence of audio feature vectors as a sample from a linear dynamical system.
Gert R. G. Lanckriet+2 more
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Distinguishable musical dynamics
The Journal of the Acoustical Society of America, 1989Loudness changes, which composers specify by musical dynamics pp, p, mp, mf, f, and ff, make music exciting. The goal of this study is a usable and rational specification of an “acceptable” dynamic range for musicians. Requiring that a note at one dynamic level be at least s dB more intense than nearby notes at the next-lower dynamic level leads to a ...
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Dynamic texture models of music
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to the task of automatic song segmentation. In particular, we cluster sequences of audio feature-vectors, extracted from the song, using a dynamic texture mixture model (DTM).
Gert R. G. Lanckriet+2 more
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The dynamics of musical strings
The Journal of the Acoustical Society of America, 1991The resonance contours of a number of musical strings have been traced when operating in isolation from an instrument body, with more precisely defined loading and terminal conditions than are found in normal use, and with very small excitation amplitudes.
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Analysis of Musical Dynamics in Vocal Performances
2023Dynamics are one of the fundamental tools of expressivity in a performance. While the usage of this tool is highly subjective, a systematic methodology to derive loudness markings based on a performance can be highly beneficial. With this goal in mind, this paper is a first step towards developing a methodology to automatically transcribe dynamic ...
Narang, Jyoti+3 more
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The dynamics of dynamics: A model of musical expression
The Journal of the Acoustical Society of America, 1992A computational model of musical dynamics is proposed that complements an earlier model of expressive timing. The model, implemented in the artificial intelligence language LISP, is based on the observation that a musical phrase is often indicated by a crescendo/decrescendo shape.
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Musical Skin: A Dynamic Interface for Musical Performance
2011Compared to pop music, the audience of classical music has decreased dramatically. Reasons might be the way of communication between classic music and its audience that depends on vocal expression such as timbre, rhythm and melody in the performance. The fine details of classic music as well its implied emotion among the notes become implicit to the ...
Heng Jiang, Teng-Wen Chang, Cha-Lin Liu
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