Metadata-Version: 2.1
Name: MusicOnPolytopes
Version: 0.1.0
Summary: Package for polytopic intepretation of music, with application to musical segmentation
Home-page: https://gitlab.inria.fr/amarmore/musiconpolytopes
Author: Marmoret Axel
Author-email: axel.marmoret@irisa.fr
License: BSD
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS

# Polytopes for music segmentation #

Polytopic paradigms to study music, defined in [1], based on [2] and [3].

The goal of the polytopic approach is to define a new compression criteria, then used as cost for music segmentation, based on dynamic programming. See [4] for more details on this approach.

[1] Marmoret, A., Cohen, J. E., & Bibmot, F. (2022). Polytopic Analysis of Music. arXiv preprint arXiv:2212.11054.
[2] Guichaoua, C., ModÃ¨les de compression et critÃ¨res de complexitÃ© pour la description et lâ€™infÃ©rence de structure musicale.  PhD thesis, 2017.
[3] Louboutin, C., ModÃ©lisation multi-Ã©chelle et multi-dimensionnelle de la structure musicale par graphes polytopiques. PhD thesis, Rennes 1, 2019.
[4] Sargent, G., Bimbot, F., & Vincent, E. (2016). Estimating the structural segmentation of popular music pieces under regularity constraints. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 25(2), 344-358.
