Abstract
Generative models of music are in need of performance and gesture additions, i.e. inclusions of subtle temporal and dynamic alterations, and gestures so as to render the music musical. While much of the research regarding music generation is based on music theory, the work presented here is based on the temporal perception, which is divided into three parts, the immediate (subchunk), the short-term memory (chunk), and the superchunk. By review of the relevant temporal perception literature, the necessary performance elements to add in the metrical generative model, related to the chunk memory, are obtained. In particular, the pitch gestures are modeled as rising, falling, or as arches with positive or negative peaks.
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References
Fraisse, P.: Rhythm and Tempo. In: Deutsch, D. (ed.) The Psychology of Music, 1st edn., pp. 149–180. Academic Press, New York (1982)
Friberg, A.: Performance Rules for Computer-Controlled Contemporary Keyboard Music. Computer Music Journal 15(2), 49–55 (1991)
Gordon, J.W.: The perceptual attack time of musical tones. Journal of the Acoustical Society of America, 88–105 (1987)
Handel, S.: Listening. MIT Press, Cambridge (1989)
Huron, D.: The Melodic Arch in Western Folk songs. Computing in Musicology 10, 3–23 (1996)
Jensen, K.: Timbre Models of Musical Sounds, PhD Dissertation, DIKU Report 99/7 (1999)
Jensen, K.: Investigation on Meter in Generative Modeling of Music. In: Proceedings of the CMMR, Malaga, June 21-24 (2010)
Jensen, K., Kühl, O.: Towards a model of musical chunks. In: Ystad, S., Kronland-Martinet, R., Jensen, K. (eds.) CMMR 2008. LNCS, vol. 5493, pp. 81–92. Springer, Heidelberg (2009)
Kühl, O., Jensen, K.: Retrieving and recreating musical form. In: Kronland-Martinet, R., Ystad, S., Jensen, K. (eds.) CMMR 2007. LNCS, vol. 4969, pp. 270–282. Springer, Heidelberg (2008)
Kühl, O.: Musical Semantics. Peter Lang, Bern (2007)
Lerdahl, F., Jackendoff, R.: A Generative Theory of Tonal Music. The MIT Press, Cambridge (1983)
Malbrán, S.: Phases in Children’s Rhythmic Development. In: Zatorre, R., Peretz, I. (eds.) The Biological Foundations of Music. Annals of the New York Academy of Sciences (2000)
Papadopoulos, G., Wiggins, G.: AI methods for algorithmic composition: a survey, a critical view and future prospects. In: AISB Symposium on Musical Creativity, pp. 110–117 (1999)
Patel, A., Peretz, I.: Is music autonomous from language? A neuropsychological appraisal. In: Deliège, I., Sloboda, J. (eds.) Perception and cognition of music, pp. 191–215. Psychology Press, Hove (1997)
Samson, S., Ehrlé, N., Baulac, M.: Cerebral Substrates for Musical Temporal Processes. In: Zatorre, R., Peretz, I. (eds.) The Biological Foundations of Music. Annals of the New York Academy of Sciences (2000)
Snyder, B.: Music and Memory. An Introduction. The MIT Press, Cambridge (2000)
The Digital Tradition (2010), http://www.mudcat.org/AboutDigiTrad.cfm (visited December 1, 2010)
Thomassen, J.M.: Melodic accent: Experiments and a tentative model. J. Acoust. Soc. Am. 71(6), 1596–1605 (1982)
Vos, P.G., Troost, J.M.: Ascending and Descending Melodic Intervals: Statistical Findings and Their Perceptual Relevance. Music Perception 6(4), 383–396 (1089)
Widmer, G.: Machine discoveries: A few simple, robust local expression principles. Journal of New Music Research 31, 37–50 (2002)
Zwicker, E., Fastl, H.: Psychoacoustics: facts and models, 2nd edn. Springer series in information sciences. Springer, Berlin (1999)
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Jensen, K. (2011). Pitch Gestures in Generative Modeling of Music. In: Ystad, S., Aramaki, M., Kronland-Martinet, R., Jensen, K. (eds) Exploring Music Contents. CMMR 2010. Lecture Notes in Computer Science, vol 6684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23126-1_4
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DOI: https://doi.org/10.1007/978-3-642-23126-1_4
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