Digging it: Programmatic Data Mining as Musicking

Pierre Alexandre Tremblay; Gerard Roma; Owen Green

Digging it: Programmatic Data Mining as Musicking

Pierre Alexandre Tremblay, Gerard Roma, Owen Green

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of the International Computer Music Conference
Subtitle of host publication	ICMC 2021
Editors	Rodrigo F. Cádiz
Publisher	International Computer Music Association
Pages	295-300
Number of pages	6
ISBN (Print)	9780984527496
Publication status	Published - 28 Jul 2021
Event	International Computer Music Conference 2021 - Pontificia Universidad Católica de Chile, Santiago, Chile (Virtual due to COVID-19), Virtual Duration: 25 Jul 2021 → 31 Jul 2021 http://icmc2021.org/

Publication series

Name	International Computer Music Conference Proceedings
Publisher	University of Michigan
ISSN (Print)	2223-3881

Conference

Conference	International Computer Music Conference 2021
Abbreviated title	ICMC 2021
City	Virtual
Period	25/07/21 → 31/07/21
Internet address	http://icmc2021.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

FLUCOMA_ICMC21Final published version, 309 KBLicence: CC BY

Cite this

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title = "Digging it: Programmatic Data Mining as Musicking",

abstract = "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.",

keywords = "Data mining, Musicking",

author = "Tremblay, {Pierre Alexandre} and Gerard Roma and Owen Green",

year = "2021",

month = jul,

day = "28",

language = "English",

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series = "International Computer Music Conference Proceedings ",

publisher = "International Computer Music Association",

pages = "295--300",

editor = "C{\'a}diz, {Rodrigo F.}",

booktitle = "Proceedings of the International Computer Music Conference",

address = "United States",

note = "International Computer Music Conference 2021, ICMC 2021 ; Conference date: 25-07-2021 Through 31-07-2021",

url = "http://icmc2021.org/",

}

Digging it : Programmatic Data Mining as Musicking. / Tremblay, Pierre Alexandre; Roma, Gerard; Green, Owen.

Proceedings of the International Computer Music Conference: ICMC 2021. ed. / Rodrigo F. Cádiz. International Computer Music Association, 2021. p. 295-300 (International Computer Music Conference Proceedings ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Digging it

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AU - Roma, Gerard

AU - Green, Owen

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N2 - 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.

AB - 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.

KW - Data mining

KW - Musicking

UR - http://icmc2021.org/program/

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Y2 - 25 July 2021 through 31 July 2021

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Digging it: Programmatic Data Mining as Musicking

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

FluCoMa: Fluid Corpus Manipulations

Cite this

Digging it: Programmatic Data Mining as Musicking

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

FluCoMa: Fluid Corpus Manipulations

Cite this