A New Corpus for Computational Music Research and A Novel Method for Musical Structure Analysis
Sound
2022-09-01 v1 Multimedia
Audio and Speech Processing
Abstract
Computational models of music, while providing good descriptions of melodic development, still cannot fully grasp the general structure comprised of repetitions, transpositions, and reuse of melodic material. We present a corpus of strongly structured baroque allemandes, and describe a top-down approach to abstract the shared structure of their musical content using tree representations produced from pairwise differences between the Schenkerian-inspired analyses of each piece, thereby providing a rich hierarchical description of the corpus.
Keywords
Cite
@article{arxiv.2208.14747,
title = {A New Corpus for Computational Music Research and A Novel Method for Musical Structure Analysis},
author = {Filippo Carnovalini and Antonio Rodà and Nicholas Harley and Steven T. Homer and Geraint A. Wiggins},
journal= {arXiv preprint arXiv:2208.14747},
year = {2022}
}