Extraction, Mapping, and Evaluation of Expressive Acoustic Features for Adaptive Digital Audio Effects

Jonas Holfelt, Gergely Csapo, Nikolaj Schwab Andersson, Sohejl Zabetian, Michael Anthony Castanieto, Daniel Overholt, Sofia Dahl, Cumhur Erkut

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

This paper describes the design and implementation of a real-time adaptive digital audio effect with an emphasis on using expressive audio features that control effect param- eters. Research in adaptive digital audio effects is cov- ered along with studies about expressivity and important perceptual sound descriptors for communicating emotions. This project was aiming to exploit sounds as expressive in- dicators to create novel sound transformations. A test was conducted to see if guitar players could differentiate be- tween an adaptive and non-adaptive version of a digital au- dio effect. The participants could hear a difference, espe- cially when performing expressively. Although the adap- tive effect did not seem to enhance expressive capabilities, participants did report an increased sense of control and general awareness of the effect. Overall, the preference over the two versions varied evenly between participants.
Original languageEnglish
Title of host publicationProceedings of the 14th Sound and Music Computing Conference 2017
PublisherAalto University
Publication date2017
ISBN (Print)978-952-60-3729-5
Publication statusPublished - 2017
Event14th Sound & Music Computing Conference - Aalto university, Espoo, Finland
Duration: 5 Jul 20178 Jul 2017
http://smc2017.aalto.fi/index.html

Conference

Conference14th Sound & Music Computing Conference
LocationAalto university
CountryFinland
CityEspoo
Period05/07/201708/07/2017
Internet address
SeriesProceedings of the Sound and Music Computing Conference
ISSN2518-3672

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Acoustics
Acoustic waves

Cite this

Holfelt, J., Csapo, G., Andersson, N. S., Zabetian, S., Castanieto, M. A., Overholt, D., ... Erkut, C. (2017). Extraction, Mapping, and Evaluation of Expressive Acoustic Features for Adaptive Digital Audio Effects. In Proceedings of the 14th Sound and Music Computing Conference 2017 Aalto University. Proceedings of the Sound and Music Computing Conference
Holfelt, Jonas ; Csapo, Gergely ; Andersson, Nikolaj Schwab ; Zabetian, Sohejl ; Castanieto, Michael Anthony ; Overholt, Daniel ; Dahl, Sofia ; Erkut, Cumhur. / Extraction, Mapping, and Evaluation of Expressive Acoustic Features for Adaptive Digital Audio Effects. Proceedings of the 14th Sound and Music Computing Conference 2017. Aalto University, 2017. (Proceedings of the Sound and Music Computing Conference).
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title = "Extraction, Mapping, and Evaluation of Expressive Acoustic Features for Adaptive Digital Audio Effects",
abstract = "This paper describes the design and implementation of a real-time adaptive digital audio effect with an emphasis on using expressive audio features that control effect param- eters. Research in adaptive digital audio effects is cov- ered along with studies about expressivity and important perceptual sound descriptors for communicating emotions. This project was aiming to exploit sounds as expressive in- dicators to create novel sound transformations. A test was conducted to see if guitar players could differentiate be- tween an adaptive and non-adaptive version of a digital au- dio effect. The participants could hear a difference, espe- cially when performing expressively. Although the adap- tive effect did not seem to enhance expressive capabilities, participants did report an increased sense of control and general awareness of the effect. Overall, the preference over the two versions varied evenly between participants.",
author = "Jonas Holfelt and Gergely Csapo and Andersson, {Nikolaj Schwab} and Sohejl Zabetian and Castanieto, {Michael Anthony} and Daniel Overholt and Sofia Dahl and Cumhur Erkut",
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Holfelt, J, Csapo, G, Andersson, NS, Zabetian, S, Castanieto, MA, Overholt, D, Dahl, S & Erkut, C 2017, Extraction, Mapping, and Evaluation of Expressive Acoustic Features for Adaptive Digital Audio Effects. in Proceedings of the 14th Sound and Music Computing Conference 2017. Aalto University, Proceedings of the Sound and Music Computing Conference, 14th Sound & Music Computing Conference, Espoo, Finland, 05/07/2017.

Extraction, Mapping, and Evaluation of Expressive Acoustic Features for Adaptive Digital Audio Effects. / Holfelt, Jonas; Csapo, Gergely; Andersson, Nikolaj Schwab; Zabetian, Sohejl; Castanieto, Michael Anthony; Overholt, Daniel; Dahl, Sofia; Erkut, Cumhur.

Proceedings of the 14th Sound and Music Computing Conference 2017. Aalto University, 2017. (Proceedings of the Sound and Music Computing Conference).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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T3 - Proceedings of the Sound and Music Computing Conference

BT - Proceedings of the 14th Sound and Music Computing Conference 2017

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Holfelt J, Csapo G, Andersson NS, Zabetian S, Castanieto MA, Overholt D et al. Extraction, Mapping, and Evaluation of Expressive Acoustic Features for Adaptive Digital Audio Effects. In Proceedings of the 14th Sound and Music Computing Conference 2017. Aalto University. 2017. (Proceedings of the Sound and Music Computing Conference).