All the Noises: Hijacking Listening Machines for Performative Research

John Bowers, Owen Green

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research into machine listening has intensified in recent years creating a variety of techniques for recognising musical features suitable, for example, in musicological analysis or commercial application in song recognition. Within NIME, several projects exist seeking to make these techniques useful in real-time music making. However, we debate whether the functionally-oriented approaches inherited from engineering domains that much machine listening research manifests is fully suited to the exploratory, divergent, boundary-stretching, uncertainty-seeking, playful and irreverent orientations of many artists. To explore this, we engaged in a concerted collaborative design exercise in which many different listening algorithms were implemented and presented with input which challenged their customary range of application and the implicit norms of musicality which research can take for granted. An immersive 3D spatialised multichannel environment was created in which the algorithms could be explored in a hybrid installation/performance/lecture form of research presentation. The paper closes with reflections on the creative value of ‘hijacking’ formal approaches into deviant contexts, the typically undocumented practical know-how required to make algorithms work, the productivity of a playfully irreverent relationship between engineering and artistic approaches to NIME, and a sketch of a sonocybernetic aesthetics for our work.
LanguageEnglish
Title of host publicationNIME 2018: New Interfaces For Musical Expression
Pages114-119
Number of pages6
Publication statusPublished - 18 Jun 2018
EventNew Interfaces For Musical Expression - Virginia Tech, Blacksburg, United States
Duration: 3 Jun 20186 Jun 2018
http://www.nime2018.org/ (Link to Conference Website )

Publication series

Name
ISSN (Electronic)2220-4806

Conference

ConferenceNew Interfaces For Musical Expression
Abbreviated titleNIME 2018
CountryUnited States
CityBlacksburg
Period3/06/186/06/18
Internet address

Fingerprint

Stretching
Productivity
Uncertainty

Cite this

Bowers, J., & Green, O. (2018). All the Noises: Hijacking Listening Machines for Performative Research. In NIME 2018: New Interfaces For Musical Expression (pp. 114-119)
Bowers, John ; Green, Owen. / All the Noises : Hijacking Listening Machines for Performative Research. NIME 2018: New Interfaces For Musical Expression. 2018. pp. 114-119
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Bowers, J & Green, O 2018, All the Noises: Hijacking Listening Machines for Performative Research. in NIME 2018: New Interfaces For Musical Expression. pp. 114-119, New Interfaces For Musical Expression, Blacksburg, United States, 3/06/18.

All the Noises : Hijacking Listening Machines for Performative Research. / Bowers, John; Green, Owen.

NIME 2018: New Interfaces For Musical Expression. 2018. p. 114-119.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Bowers J, Green O. All the Noises: Hijacking Listening Machines for Performative Research. In NIME 2018: New Interfaces For Musical Expression. 2018. p. 114-119