Other Open Access

Fluid Corpus Manipulation Toolbox

Tremblay, Pierre Alexandre; Green, Owen; Roma, Gerard; Bradbury, James; Moore, Ted; Hart, Jacob; Harker, Alex

The Fluid Corpus Manipulation Toolkit enables techno-fluent artists to tackle programmatic data mining within their mastered creative coding environment, by integrating advances of signal decomposition, machine listening and machine learning to the toolset of musicians. 

It is made of software extensions for Max, SuperCollider and Pure Data, as well as a learning platform and a forum to exchange on the emerging practices.

Files (65.3 MB)
Name Size
flucoma-cli-1.0.2.zip
md5:b6db761f006c48bdb3b74ae439ecc317 		115.8 kB Download
flucoma-core-1.0.0.zip
md5:ea08c1e5507bb09b5521f9df459d4339 		62.7 MB Download
flucoma-docs-1.0.0.zip
md5:cf42171d26f92deefce14ce315f1c49a 		599.5 kB Download
flucoma-max-1.0.0.zip
md5:1be9a8e39cf8e66f2eca516ab8336c38 		916.8 kB Download
flucoma-pd-1.0.2.zip
md5:66036169c7f30058a4c08d3d7d0ec402 		430.6 kB Download
flucoma-sc-1.0.2.zip
md5:7a454205600d2d0cba36096e632f79f6 		564.2 kB Download

  • Tremblay, P.A., Roma, G., & Green, O. (2022) Enabling Programmatic Data Mining as Musicking: The Fluid Corpus Manipulation Toolkit. Computer Music Journal 2022; 45 (2): 9–23. doi: https://doi.org/10.1162/comj_a_00600

201
25
views
downloads
All versions This version
Views 201201
Downloads 2525
Data volume 200.0 MB200.0 MB
Unique views 178178
Unique downloads 2222
More info on how stats are collected.
Indexed in
Publication date:
July 7, 2022
DOI:
10.5281/zenodo.6834643

Zenodo DOI Badge

DOI 

10.5281/zenodo.6834643

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6834643.svg)](https://doi.org/10.5281/zenodo.6834643)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.6834643.svg
   :target: https://doi.org/10.5281/zenodo.6834643

HTML 

<a href="https://doi.org/10.5281/zenodo.6834643"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.6834643.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.6834643.svg

Target URL 

https://doi.org/10.5281/zenodo.6834643

Keyword(s):
machine listening, machine learning, Max, SuperCollider, PureData, corpus, soundbanks
Grants:
European Commission:
  • FluCoMa - Fluid Corpus Manipulation: Creative Research in Musical Mining of Large Sound/Gesture Datasets through Foundational Access to the Latest Advances of Signal Decomposition. (725899)
Related identifiers:
Part of
License (for files):
BSD 3-Clause "New" or "Revised" License

Versions

Version v.1 10.5281/zenodo.6834643 Jul 7, 2022
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.6834642. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export