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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.
Luke Barrington +2 more
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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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Generating Music from Flocking Dynamics
2012 American Control Conference (ACC), 2012We explore different approaches for generating music from the flocking dynamics of groups of mobile autonomous agents following a simple decentralized control rule. By developing software that links these dynamics to a set of sound wave generators, we study how each approach reflects sonically the transition to collective order and which produces ...
Cristián Huepe +2 more
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2022
Open Scriptures: Notation in Contemporary Artistic Practices in Europe and the Americas, p ...
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Open Scriptures: Notation in Contemporary Artistic Practices in Europe and the Americas, p ...
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Musical Automata as Dynamical Systems
Adaptive Behavior, 2006This paper explores the use of dynamical systems as a framework for understanding how musically autonomous behavior can be achieved in artifact. Just as dynamics has offered a breakout strategy for the perceived limitations of artificial intelligence, so too can dynamics offer a solution to the current limitations of autonomous generative music systems.
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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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Music Perception, 2014
Musicians anticipate and monitor the expressive effects of their actions during performance. Previous research suggests that the ability to imagine desired outcomes can partially compensate when auditory feedback is absent, permitting continued performance even though information about whether these outcomes are realized is unavailable.
Laura Bishop +2 more
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Musicians anticipate and monitor the expressive effects of their actions during performance. Previous research suggests that the ability to imagine desired outcomes can partially compensate when auditory feedback is absent, permitting continued performance even though information about whether these outcomes are realized is unavailable.
Laura Bishop +2 more
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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’’).
P, Iverson, C L, Krumhansl
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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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Music analysis with a Bayesian dynamic model
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009A Bayesian dynamic model is developed to model complex sequential data, with a focus on audio signals from music. The music is represented in terms of a sequence of discrete observations, and the sequence is modeled using a hidden Markov model (HMM) with time-evolving parameters.
Lu Ren +3 more
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