Complexity and the Structure of Music: Universal Features and Evolutionary Perspectives Across Cultures - Resources

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Complexity and the Structure of Music: Universal Features and Evolutionary Perspectives Across Cultures
December 7 - 9, 2020 — Zoom

www.materialssoundmusic.com

www.musicntwrk.com

Relevant scientific outputs for the Working Group: https://sites.google.com/site/tonalintervalspace/home (lacks update)

M. Buongiorno Nardelli, "The hitchhiker’s guide to the all-interval 12-tone rows," submitted (2020), also at https://arxiv.org/abs/2006.05007

M. Buongiorno Nardelli, "Tonal harmony, the topology of dynamical score networks and the Chinese postman problem," submitted (2020), also at https://arxiv.org/abs/2006.01033

M. Buongiorno Nardelli, "Topology of Networks in Generalized Musical Spaces," Leonardo Music Journal, Accepted at https://www.mitpressjournals.org/doi/abs/10.1162/lmj_a_01079 (2020), also at https://arxiv.org/pdf/1905.01842.pdf

M. Buongiorno Nardelli, "MUSICNTWRK: data tools for music theory, analysis and composition," https://arxiv.org/abs/1906.01453, Springer Lecture Notes in Computer Science, Proceedings of CMMR 2019, October 14,19, 2019, Marseille, France, in press.

Gresham-Lancaster, Scot. “A Personal Reminiscence on the Roots of Computer Network Music.” Leonardo Music Journal, vol. 27, no. 27, June 2017, pp. 71–77., doi:10.1162/lmj_a_01022.

Notes on "Culture of Fire" for Analog Neural Network Synthesizer, Geiger Muller Counters and Computer. ICMC 2015 UM Ann Arbor, MI: Michigan Publishing

Gresham-Lancaster, Scot “Computer Network Music” Arts, Humanities, and Complex Networks (Leonardo ebook series) , Leonardo/ISAST and MIT Press; 4th edition (May 28, 2014)

Gresham-Lancaster, Scot “The Aesthetics and History of the Hub: The Effects of Changing Technology on Network Computer” (Leonardo Music Journal 8, MIT Press 1998) 39-44

Setzler, M.*, Marghetis, T.*, & Kim, M. (July 2018). Creative leaps in musical ecosystems: Early warning signals of critical transitions in professional jazz. 40th Annual Meeting of the Cognitive Science Society. *joint first authors, https://cogsci.mindmodeling.org/2018/papers/0470/0470.pdf

Thibault, William & Gresham-Lancaster, Scot, “Digital Terrain: Using Digital Elevation Models for Music and Interactive Multimedia Desktop Music” (Leonardo Music Journal 7, MIT Press 1997)

Universality in rank-ordered distibutions in the arts and sciencies (2009), G. Martínez-Mekler, R. Alvarez Martínez, M. Beltran del Rio, R. Mansilla, P. Miramontes, G. Cocho, PLoS ONE 4(3): e4791. doi:10.1371/journal.pone.0004791

Multiple scaling behaviour and nonlinear traits in music scores, Alfredo González Espinoza, Hernán Larralde, Gustavo Martínez-Mekler, Royal Society Open Science 4: 171282. http://dx.doi.org/10-1098/rsos.17182 (2018)

The arrow of time along five centuries of classical music,Alfredo González-Espinoza, Gustavo Martínez-Mekler, Lucas Lacasa, Physical Review Research 2, 033166 (2020) https://doi.org/10.1103/PhysRevResearch.2.033166

Scientific American Link https://www.scientificamerican.com/article/times-arrow-flies-through-500-years-of-classical-music-physicists-say/

Some relevant publications:

Theory: Tonal Interval Space Bernardes, G., Cocharro, D., Caetano, M., Guedes, C., Davies, M.E.P. (2016). A Multi-Level Tonal Interval Space for Modelling Pitch Relatedness and Musical Dissonance. Journal of New Music Research, 45(4): 281-294 . DOI:http://dx.doi.org/10.1080/09298215.2016.1182192. pdf of the preprint version.

Bernardes, G. Defining a Harmonic Grammar in the Fourier Space. Música Analítica: Porto International Symposium on the Analysis and Theory of Music. (In preparation a journal paper on the topic as well)

Elizabeth Margulis Publications

Applications:

Audio Description: Ramires, A., Bernardes, G., Davies, M.E.P., & Serra, X. (2020). TIV.Lib: An Open-Sounce Library for the Tonal Description of Musical Audio. International Conference on Digital Audio Effects. Vienna, Austria. pdf

Generative Music Navarro-Cáceres, M., Caetano, M., Bernardes, G. Sánchez-Barba, M., Merchán, J. (2020). A Computational Model of Tonal Tension Profile of Chord Progressions in the Tonal Interval Space. Entropy 22(11), 129. Special Issue Artificial Intelligence and Complexity in Art, Music, Games and Design. DOI: https://doi.org/10.3390/e22111291.

Bernardes, G., Cocharro, D., Guedes, C., & Davies, M.E.P. (2015). Conchord: An Application for Generating Musical Harmony by Navigating in a Perceptually Motivated Tonal Interval Space. Proceedings of the 11th International Symposium on Computer Music Modeling and Retrieval (CMMR), (pp. 71-86). Plymouth, UK.

Harmonic transformations (driven by geometric spaces) Cocharro, D. & Bernardes, G. (2017). HarT: Smart Tool for Harmonic Content Transformations. pp. International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 560-563, Matosinhos, Portugal. pdf (Best demo award).

Visualisation/Music Information Retrieval/mashup harmonic spaces Maças, C., Rodrigues, A., Bernardes, G., Machado, P. (2019). MixMash: An Assistive Tool for Music Mashup Creation from Large Music Collections. International Journal of Art, Culture and Design Technologies, 8(2), 20-40. DOI: http://doi.org/10.4018/IJACDT.2019070102.

Bernardes, G., Davies, M., Guedes, C. (2018). A hierarchical harmonic mixing method. In M. Aramaki et al. (Eds.) Music technology with Swing (pp. 151-170). Lecture Notes in Computer Sciences, vol. 11265. Springer Nature Switzerland. DOI: http://dx.doi.org/10.1007/978-3-030-01692-0_11 pdf

Audio synthesis in descriptives (geometric) spaces: Bernardes, G. (2020). Interfacing Sounds: Hierarchical Audio-Content Morphologies for Creative Re-purposing in earGram. Proceedings of the International Conference on New Interfaces for Musical Expression. Birmingham, UK. pdf

Beyls, P., Bernardes, G., & Caetano, M. (2015). The Emergence of Complex Behavior as an Organizational Paradigm for Concatenative Sound Synthesis. Proceedings of the xCoAx Conference, Glasgow, Scotland, UK. pdf