Abstract
The aim of this study is practical: we want to afford useful compositional schemas and insights, for instance, for students who apply counterpoint in order to construct larger musical forms. For that, we inspect by computer the melodic hierarchies in classical contrapuntal textures. The current model is based on mapping the frequencies of melodic-motivic repetitions throughout an entire piece. Our application creates schemas that illustrate how commonly the melodic segments occur in the piece. The results seem to correspond well to our intuitive impressions of thematic hierarchies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hewlett, W.B., Selfridge-Field, E. (eds.): Melodic Similarity – Concepts, Procedures, and Applications. Computing in Musicology, vol. 11. MIT Press, Cambridge (1998)
Lartillot, O., Toiviainen, P.: Motivic matching strategies for automated pattern extraction. Musicae Scientiae, Discussion Forum 4A, 281–314 (2007)
Schubert, P.: Modal Counterpoint, Renaissance Style. Oxford University Press, New York (1999)
Schreiber, T.: Measuring Information Transfer. Physical Review Letters 85, 461–464 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tenkanen, A. (2011). Surveying Musical Form through Melodic-Motivic Similarities. In: Agon, C., Andreatta, M., Assayag, G., Amiot, E., Bresson, J., Mandereau, J. (eds) Mathematics and Computation in Music. MCM 2011. Lecture Notes in Computer Science(), vol 6726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21590-2_36
Download citation
DOI: https://doi.org/10.1007/978-3-642-21590-2_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21589-6
Online ISBN: 978-3-642-21590-2
eBook Packages: Computer ScienceComputer Science (R0)