‘Xa-lan’: Algorithmic Generation of Expressive Music Scores Based on Signal Analysis and Graphical Transformations

Authors

  • Mauricio Rodriguez Stanford University

DOI:

https://doi.org/10.1609/aiide.v8i4.12564

Keywords:

Music Notation, Music Composition, Algorithmic Music

Abstract

Xa-lan is a computer program written in Common-LISP to generate music scores with a high level of notational/symbolic expressivity. Generation is driven by audio-analysis of melodic profiles. Once a melodic contour is input to the software, graphic transformations of the original profile stochastically control the different notational elements of the score. The Xa-lan routines display their final output using the ‘Expressive Notation Package’ of PWGL, a LISP-based visual composition environment. A full range of traditional and non-conventional music notation elements can be algorithmically generated with Xa-lan, retrieving to the user a ‘ready-to-play’ or fully ex-pressive music score.

Downloads

Published

2021-06-30

How to Cite

Rodriguez, M. (2021). ‘Xa-lan’: Algorithmic Generation of Expressive Music Scores Based on Signal Analysis and Graphical Transformations. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 8(4), 83-85. https://doi.org/10.1609/aiide.v8i4.12564