Skip to main content

computing pitch-scapes and pitch-scape clusters

Project description

Pitch Scapes

PyPI version build tests codecov

doc DOI License: GPL v3

Figure 1                                 Figure 2

Python library to compute pitch scapes for music analysis. The implemented methods are described in (please cite when using this library for publications, BibTeX below): Lieck R, Rohrmeier M (2020) Modelling Hierarchical Key Structure with Pitch Scapes. In: Proceedings of the 21st International Society for Music Information Retrieval Conference. Montréal, Canada

DOI

@inproceedings{lieckModellingHierarchicalKey2020,
  title = {Modelling Hierarchical Key Structure with Pitch Scapes},
  booktitle = {Proceedings of the 21st International Society for Music Information Retrieval Conference},
  author = {Lieck, Robert and Rohrmeier, Martin},
  year = {2020},
  location = {Montréal, Canada},
  doi = {10.5281/zenodo.4245558},
  eventtitle = {21st International Society for Music Information Retrieval Conference}
}

Getting Started

Please have a look at the Tutorial, which guides you through all the basic functionality of reading data, plotting pitch scapes and training the unsupervised clustering model.

Note: I tried to make the code accessible and provide some convenience functions for getting started smoothly. But there is still lots of room for better documentation and testing. Please contact me if you have any questions, are missing anything or encounter bugs!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pitchscapes-0.2.0.tar.gz (52.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pitchscapes-0.2.0-py3-none-any.whl (47.0 kB view details)

Uploaded Python 3

File details

Details for the file pitchscapes-0.2.0.tar.gz.

File metadata

  • Download URL: pitchscapes-0.2.0.tar.gz
  • Upload date:
  • Size: 52.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for pitchscapes-0.2.0.tar.gz
Algorithm Hash digest
SHA256 936ec600fc04406fdb4b6235230491b66c35a82ac63f7892e9f6e5fd392ac5d1
MD5 244c047d4f8f3b6bf879d6168fb2854f
BLAKE2b-256 1ec02aae2e7ad2033d49cd19ef09697836fa3e7f4407e19d049763cd3f0c554b

See more details on using hashes here.

File details

Details for the file pitchscapes-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: pitchscapes-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 47.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for pitchscapes-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 11a3cb586b915f057b3fff03693052d976228d619be4883a64f7f168b7c26e8f
MD5 1f105e58d8a2f9d115f06cc4fc0a0b81
BLAKE2b-256 c9ad503faf4fd26753977f415c5dba90a3b7b57bfc8b98e33b61755551f9546f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page