TY - JOUR
T1 - Enabling Programmatic Data Mining as Musicking
T2 - The Fluid Corpus Manipulation Toolkit
AU - Tremblay, Pierre Alexandre
AU - Roma, Gerard
AU - Green, Owen
N1 - Funding Information:
This article is an extended version of our paper presented at the International Computer Music Conference (Tremblay, Roma, and Green 2021). We would like to thank the creative coders engaging in the alpha community (James Bradbury, Rodrigo Constanzo, Richard Devine, Alice Eldridge, Daniele Ghisi, “Leafcutter” John Burton, Lauren Hayes, Ted Moore, Olivier Pasquet, Sam Pluta, Hans Tutschku), the CeReNeM and its Creative Coding Lab, and the European Research Council, since this research was made possible thanks to a project funded under the European Union’s Horizon 2020 Research and Innovation Program (grant agreement no. 725,899).
Publisher Copyright:
© 2022 Massachusetts Institute of Technology.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - This article presents a new software toolbox to enable programmatic mining of sound banks for musicking and musicking-driven research. The toolbox is available for three popular creative coding environments currently used by “techno-fluent” musicians. The article describes the design rationale and functionality of the toolbox and its ecosystem, then the development methodology—several versions of the toolbox have been seeded to early adopters who have, in turn, contributed to the design. Examples of these early usages are presented, and we describe some observed musical affordances of the proposed approach to the exploration and manipulation of music corpora, as well as the main roadblocks encountered. We finally reflect on a few emerging themes for the next steps in building a community around critical programmatic mining of sound banks.
AB - This article presents a new software toolbox to enable programmatic mining of sound banks for musicking and musicking-driven research. The toolbox is available for three popular creative coding environments currently used by “techno-fluent” musicians. The article describes the design rationale and functionality of the toolbox and its ecosystem, then the development methodology—several versions of the toolbox have been seeded to early adopters who have, in turn, contributed to the design. Examples of these early usages are presented, and we describe some observed musical affordances of the proposed approach to the exploration and manipulation of music corpora, as well as the main roadblocks encountered. We finally reflect on a few emerging themes for the next steps in building a community around critical programmatic mining of sound banks.
KW - Data mining
KW - Musicking-driven research
KW - Fluid Corpus Manipulation toolkit
UR - http://www.scopus.com/inward/record.url?scp=85131234556&partnerID=8YFLogxK
U2 - 10.1162/comj_a_00600
DO - 10.1162/comj_a_00600
M3 - Article
VL - 45
SP - 9
EP - 23
JO - Computer Music Journal
JF - Computer Music Journal
SN - 0148-9267
IS - 2
ER -