Sonic cartoons and semantic audio processing

Using invariant properties to create schematic representations of acoustic phenomena

Andrew Bourbon, Simon Zagorski-Thomas

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

Abstract

The history of recording is often characterized as a history
of improving audio quality whereas the notion of sonic
cartoons requires us to re-think it as a history of clarity
and the creation of schematic representations. Using the
ecological approach to perception and embodied
cognition, we will consider the invariant properties of
various acoustic phenomena as a way of developing a
range of strategies for semantic audio processing. In this
context, semantic audio processing refers to plug-ins that
utilize semantic descriptors to control multiple parameters.
An example of this might be Waves’ Tony Maserati
Signature Series which provide controls with labels such
as ‘thump’ and ‘snap’. The notion of sonic cartoons
provides a framework for a much more nuanced
application of this approach.
Original languageEnglish
Title of host publicationProceedings of the 2nd AES Workshop on Intelligent Music Production
Number of pages2
Publication statusPublished - 13 Sep 2016
Externally publishedYes
EventThe 2nd Audio Engineering Society Workshop on Intelligent Music Production - Charterhouse Square , London, United Kingdom
Duration: 13 Sep 201613 Sep 2016
Conference number: 2
http://www.aes-uk.org/forthcoming-meetings/wimp2/ (Link to Conference Details)

Conference

ConferenceThe 2nd Audio Engineering Society Workshop on Intelligent Music Production
Abbreviated titleAES
CountryUnited Kingdom
CityLondon
Period13/09/1613/09/16
Internet address

Fingerprint

Acoustics
Cartoon
History
Waves

Cite this

Bourbon, A., & Zagorski-Thomas, S. (2016). Sonic cartoons and semantic audio processing: Using invariant properties to create schematic representations of acoustic phenomena. In Proceedings of the 2nd AES Workshop on Intelligent Music Production
Bourbon, Andrew ; Zagorski-Thomas, Simon. / Sonic cartoons and semantic audio processing : Using invariant properties to create schematic representations of acoustic phenomena. Proceedings of the 2nd AES Workshop on Intelligent Music Production. 2016.
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title = "Sonic cartoons and semantic audio processing: Using invariant properties to create schematic representations of acoustic phenomena",
abstract = "The history of recording is often characterized as a historyof improving audio quality whereas the notion of soniccartoons requires us to re-think it as a history of clarityand the creation of schematic representations. Using theecological approach to perception and embodiedcognition, we will consider the invariant properties ofvarious acoustic phenomena as a way of developing arange of strategies for semantic audio processing. In thiscontext, semantic audio processing refers to plug-ins thatutilize semantic descriptors to control multiple parameters.An example of this might be Waves’ Tony MaseratiSignature Series which provide controls with labels suchas ‘thump’ and ‘snap’. The notion of sonic cartoonsprovides a framework for a much more nuancedapplication of this approach.",
author = "Andrew Bourbon and Simon Zagorski-Thomas",
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Bourbon, A & Zagorski-Thomas, S 2016, Sonic cartoons and semantic audio processing: Using invariant properties to create schematic representations of acoustic phenomena. in Proceedings of the 2nd AES Workshop on Intelligent Music Production. The 2nd Audio Engineering Society Workshop on Intelligent Music Production, London, United Kingdom, 13/09/16.

Sonic cartoons and semantic audio processing : Using invariant properties to create schematic representations of acoustic phenomena. / Bourbon, Andrew; Zagorski-Thomas, Simon.

Proceedings of the 2nd AES Workshop on Intelligent Music Production. 2016.

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

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T1 - Sonic cartoons and semantic audio processing

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AU - Bourbon, Andrew

AU - Zagorski-Thomas, Simon

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Bourbon A, Zagorski-Thomas S. Sonic cartoons and semantic audio processing: Using invariant properties to create schematic representations of acoustic phenomena. In Proceedings of the 2nd AES Workshop on Intelligent Music Production. 2016