Digging it: Programmatic Data Mining as Musicking

Pierre Alexandre Tremblay, Gerard Roma, Owen Green

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper presents a new software toolbox to enable programmatic sound bank mining for musicking and musicking-driven research. The toolbox is available for popular creative coding environments currently used by technofluent musicians. The paper describes the design rationale and functionality, then the methodology: several versions of the toolbox have been seeded to early adopters who have, in turn, contributed to the design. Based on this feedback, we describe some observed musical affordances of the proposed approach to music corpus exploration and manipulation, as well as the main roadblocks. We finally reflect on a few emerging themes for the next steps in programmatic sound bank mining.
Original languageEnglish
Title of host publicationProceedings of the International Computer Music Conference
Subtitle of host publicationICMC 2021
EditorsRodrigo F. Cádiz
PublisherInternational Computer Music Association
Number of pages6
ISBN (Print)9780984527496
Publication statusPublished - 28 Jul 2021
EventInternational Computer Music Conference 2021 - Pontificia Universidad Católica de Chile, Santiago, Chile (Virtual due to COVID-19), Virtual
Duration: 25 Jul 202131 Jul 2021

Publication series

NameInternational Computer Music Conference Proceedings
PublisherUniversity of Michigan
ISSN (Print)2223-3881


ConferenceInternational Computer Music Conference 2021
Abbreviated titleICMC 2021
Internet address


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