Zipf's Law, Music Classification and Aesthetics



AI and Music


Computer Music Journal, Vol. 29, #1, pp. 55-69, Massachusetts Institute of Technology, April 2005

Cited by

Year 2015 : 6 citations

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 Classification and generation of composer-specific music using global feature models and variable neighborhood search
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 [PDF] Towards a Fitness Function for Musicality using LPM
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 [HTML] Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres
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 [CITAÇÃO] The nature of fractal music
HJ Brothers - Benoit Mandelbrot: A Life in Many Dimensions. Edited …, 2015 - World Scientific

 Tonality driven piano compositions with grammatical evolution
R Loughran, J McDermott… - … Computation (CEC), 2015 …, 2015 -

Year 2014 : 3 citations

 Piantadosi, Steven T. "Zipf’s word frequency law in natural language: a critical review and future directions." (2014).

 Nagelberg, Alan. MICA: A Hybrid Method for Corpus-Based Algorithmic Composition of Music Based on Genetic Algorithms, Zipf’s Law, and Markov Models. Diss. The University of Manitoba, 2014.

 White, Christopher Wm. "Changing Styles, Changing Corpora, Changing Tonal Models."

Year 2013 : 7 citations

 Haro Berois, Martín. "Statistical distribution of common audio features: encounters in a heavy-tailed universe." (2013): 169.

 Emmery, Chris. The Aesthetic Value of Zipfian Visual Art. Diss. Tilburg University, 2013.

 Kaliakatsos-Papakostas, Maximos A., et al. "Chaos and Music: From time series analysis to evolutionary composition." International Journal of Bifurcation and Chaos 23.11 (2013).

 Jiang, Bin, and Daniel Sui. "A New Kind of Beauty Out of the Underlying Scaling of Geographic Space." arXiv preprint arXiv:1303.7303 (2013).

 ** Dor, Ofer, and Yoram Reich. "Enhancing learning algorithms to support data with short sequence features by automated feature discovery." Knowledge-Based Systems (2013).

 ** Liu, Lu, et al. "A Statistical Physics View of Pitch Fluctuations in the Classical Music from Bach to Chopin: Evidence for Scaling." PloS one 8.3 (2013): e58710.

 ** Wu, Dan, Chaoyi Li, and Dezhong Yao. "Scale-Free Brain Quartet: Artistic Filtering of Multi-Channel Brainwave Music." PloS one 8.5 (2013): e64046.

Year 2012 : 10 citations

 ** Sturm, Bob L. "A survey of evaluation in music genre recognition." Proc. Adaptive Multimedia Retrieval, Copenhagen, Denmark (2012).

 ** Hughes, James M., et al. "Quantitative patterns of stylistic influence in the evolution of literature." Proceedings of the National Academy of Sciences 109.20 (2012): 7682-7686.

 ** Lundy, Duane E. "Degrees of Quality: A Method for Quantifying Aesthetic Impact." Psychology Research 2 (2012): 205-221.

 Power-law distribution in encoded MFCC frames of speech, music, and environmental sound signals
M Haro, J Serrà, Á Corral, P Herrera - Proceedings of the 21st …, 2012 -

 Evolving Cellular Automata for Music Composition with Trainable Fitness Functions
MY Lo - 2012 -

 Subdivision schemes and multi-resolution modelling for automated music synthesis and analysis
S Hed, RO Gjerdingen, D Levin - Journal of Mathematics and Music, 2012 - Taylor & Francis

 Zipf's law in short-time timbral codings of speech, music, and environmental sound signals
M Haro, J Serrà, P Herrera, Á Corral - PloS one, 2012 -

 Interactive Evolution of 8–Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound
M Kaliakatsos–Papakostas, M Epitropakis… - … and Biologically Inspired …, 2012

 Emd analysis for visual stylometry
D Mao, DN Rockmore, Y Wang, Q Wu - Preprint -

 Empirical mode decomposition analysis for visual stylometry
J Hughes, D Mao, D Rockmore, Y Wang, Q Wu - 2012 -

Year 2011 : 3 citations

 Simulating the Electroweak Phase Transition: Sonification of Bubble Nucleation
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 Evolutionary Music Composition: A Quantitative Approach
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 An evaluation of musical score characteristics for automatic classification of composers
O Dor, Y Reich - Computer Music Journal, 2011 - MIT Press

Year 2010 : 4 citations

 Automatic Music Classification with jMIR, PhD, McGill University, Montreal, 2010

 Rafi Haddad1,3*, Abebe Medhanie1, Yehudah Roth2, David Harel3, Noam Sobel1*. Predicting Odor Pleasantness with an Electronic Nose. April 2010 Issue of PLOS Computational Biology

 Adaptability in organisms and artifacts: A multi level perspective on adaptive processes
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  Urban Soundscape Informational Quantization: Validation Using a Comparative Approach
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Year 2009 : 5 citations

 Rank-Size Distribution of Notes in Harmonic Music: Hierarchic Shuffling of Distributions
MB Río, G Cocho - Complex Sciences, 2009 - Springer

 Intervallic Scaling in the Bach Cello Suites
JB HARLAN - Fractals, 2009 - World Scientific

 Scale-free music of the brain
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 Urban soundmarks psychophysical geodimensioning: Towards ambient pointers geosystemic computation
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 Stochastic language models for music information retrieval
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Year 2008 : 3 citations

 Sowing the Seeds of Science and Reaping Sonic Fruit
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 M Beltrán del Río, G Cocho, GG Naumis. Universality in the tail of musical note rank distribution. Physica A: Statistical Mechanics and its Applications, 2008 - Elsevier

 West, B.J., Geneston, E.L., Grigolini, P., Maximizing information exchange between complex networks, Physics Reports, volume 468, issue 1-3, year 2008, pp. 1 - 99.

Year 2007 : 3 citations

 Kirke, A., Miranda, E.R. (2007). "Evaluating Mappings for Cellular Automata Music", Proceedings of ECAL 2007 Workshop on Music and Artificial Life (MusicAL 2007), Lisbon (Portugal).

 Huovinen E, Tenkanen A., Bird's-eye views of the musical surface: Methods for systematic pitch-class set analysis. MUSIC ANALYSIS, Volume: 26 Issue: 1-2 Pages: 159-214 Published: MAR-JUL 2007.

 Developing Metrics for Evolving a Musically Satisfying Result from a Population of Computer Generated Music Compositions
K Bryden - Computational Intelligence in Image and Signal …, 2007 -

Year 2006 : 5 citations

 K. Burns and S. Dubnov. Memex music and gambling games: Eve’s take on lucky number 13. In Computational Aesthetics: Artificial Intelligence Approaches to Beauty and Happiness, Proceedings of AAAI Workshop, 2006;

 D. Mao, D. N. Rockmore, Y. Wang, and Q. Wu. EMD Analysis for Visual Stylometry. IEEE, 2006;

 G. Campolongo and S. Vena. Science of networks and music: A new approach on musical analysis and creation. In F. Rothlauf, J. Branke, S. Cagnoni, E. Costa, C. Cotta, R. Drechsler, E. Lutton, P. Machado, J. H. Moore, J. Romero, G. D. Smith, G. Squillero, and H. Takagi, editors, Applications of Evolutionary Computing, EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART and EvoSTOC, Budapest, Hungary, April 10-12, 2006, Proceedings, volume 3907 of Lecture Notes in Computer Science, pages 642–651. Springer, 2006;

 S. Streich. Music Complexity: A Multi-Faceted Description of Audio Content. PhD thesis, Pompeu Fabra University, Barcelona, Spain, 2006;

 M. M. Farbood. A quantitative, parametric model of musical tension. PhD thesis, Dept. of Architec- ture. Program In Media Arts and Sciences. Massachusetts Institute of Technology, 2006;