A Viewpoint Approach to Symbolic Music Transformation

  • Louis Bigo
  • Darrell Conklin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9617)


This paper presents a general approach to the transformation of symbolic music. The method is based on viewpoints, which enable the representation of musical surfaces by sequences of abstract features. Along the transformation process, some of these sequences are conserved while some others are variable and can be replaced by generated ones. The initial piece is therefore seen as a template which is instantiated at each transformation. The method is illustrated in the paper with the particular case of transformations occurring at the harmonic level. New chord sequences are generated by sampling from a statistical model in a particular style. The pitch of the notes constituting the template piece are then transformed according to the generated chord sequence.


Harmonic transformation Viewpoints Computer-aided composition Harmonic analysis Music generation Statistical models Computational creativity 



The authors thank Dorien Herremans for valuable discussions and collaboration on this research. This research is supported by the project Lrn2Cre8 which is funded by the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET grant number 610859.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer Science and Artificial IntelligenceUniversity of the Basque Country UPV/EHUSan SebastianSpain
  2. 2.IKERBASQUE, Basque Foundation for ScienceBilbaoSpain

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