Fuzzy logic in the arts: applications in audiovisual composition and sound synthesis

Nowadays, fuzzy logic applications can be found in a variety of fields, specially engineering and scientific areas. However, applications of fuzzy logic in the artistic fields are not abundant. This is highly surprising if we consider the fact that other related techniques such as neural networks and genetic algorithms have been widely used for artistic and creative purposes. Two applications of fuzzy logic in the artistic domain are presented here: a fuzzy logic-based mapping strategy for audiovisual composition and a novel audio synthesis technique based on sound particles and fuzzy logic.

[1]  Pietro Laface,et al.  Computer recognition of plosive sounds using contextual information , 1983 .

[2]  L. Marks.  On colored-hearing synesthesia: cross-modal translations of sensory dimensions. , 1975, Psychological bulletin.

[3]  Christina Breining.  A robust fuzzy logic-based step-gain control for adaptive filters in acoustic echo cancellation , 2001, IEEE Trans. Speech Audio Process..

[4]  Paul Hertz.  Synesthetic Art An Imaginary Number? , 1999, Leonardo.

[5]  Alex ChiChung Kot,et al.  Extending the sound impulse response of room using extrapolation , 2002, IEEE Trans. Speech Audio Process..

[6]  Perry R. Cook,et al.  Real Sound Synthesis for Interactive Applications , 2002 .

[7]  Gary S. Kendall,et al.  A Particle-based Fuzzy Logic Approach to Sound Synthesis , 2005 .

[8]  G. Klir,et al.  Fuzzy logic in geology , 2004 .

[9]  M. Reha Civanlar,et al.  Digital signal restoration using fuzzy sets , 1986, IEEE Trans. Acoust. Speech Signal Process..

[10]  Lawrence E. Marks,et al.  On colored-hearing synesthesia: cross-modal translations of sensory dimensions. , 1975 .

[11]  Robert O. Gjerdingen,et al.  The psychology of music , 2002 .

[12]  Steven H. Strogatz,et al.  Nonlinear Dynamics and Chaos , 2024 .

[13]  Bob L. Sturm.  Composing for an ensemble of atoms: the metamorphosis of scientific experiment into music , 2001, Organised Sound.

[14]  Steven H. Strogatz,et al.  Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering , 1994 .

[15]  Greta Berman,et al.  Synesthesia and the Arts , 1999, Leonardo.

[16]  Castagne Nicolas,et al.  CREATING MUSIC BY MEANS OF 'PHYSICAL THINKING': THE MUSICIAN ORIENTED GENESIS ENVIRONMENT , 2002 .

[17]  Los Angeles,et al.  Cognition of musical and visual accent structure alignment in film and animation , 1995 .

[18]  Bob Hodge,et al.  Social Fuzziology: Study of Fuzziness of Social Complexity , 2002 .

[19]  Rodrigo F. Cádiz,et al.  A fuzzy logic model for compositional approaches to audio-visual media , 2004, ICMC.

[20]  Bob L. Sturm.  Sonification of particle systems via de Broglie's Hypothesis , 2000 .

[21]  Richard Szeliski,et al.  Surface modeling with oriented particle systems , 1992, SIGGRAPH.

[22]  Mark Sandler,et al.  AUTOMATIC POLYPHONIC PIANO NOTE EXTRACTION USING FUZZY LOGIC IN A BLACKBOARD SYSTEM , 2002 .

[23]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[24]  Leigh Landy.  From algorithmic jukeboxes to zero-time synthesis: a potential A-Z of music in tomorrow's world (a conference provocation) , 2001, Organised Sound.

[25]  Constantin von Altrock,et al.  Fuzzy Logic and NeuroFuzzy Applications in Business and Finance , 1996 .