Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects

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

Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects

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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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 parameters. Research in adaptive digital audio effects is covered along with studies about expressivity and important perceptual sound descriptors for communicating emotions. This project was aiming to exploit sounds as expressive indicators to create novel sound transformations. A test was conducted to see if guitar players could differentiate between an adaptive and non-adaptive version of a digital audio effect. The participants could hear a difference, especially when performing expressively. Although the adaptive 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 language	English
Title of host publication	Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017
Editors	Tapio Lokki, Jukka Patynen, Vesa Valimaki
Number of pages	8
Publisher	Aalto University
Publication date	2019
Pages	328-335
ISBN (Electronic)	9789526037295
Publication status	Published - 2019
Event	14th Sound and Music Computing Conference, SMC 2017 - Espoo, Finland Duration: 5 Jul 2017 → 8 Jul 2017

Conference

Conference	14th Sound and Music Computing Conference, SMC 2017
Country/Territory	Finland
City	Espoo
Period	05/07/2017 → 08/07/2017
Sponsor	Aalto University, Acoustical Society of Finland, Applied Sciences - Basel, Federation of Finnish Learned Societies, Genelec, Native Instruments

Series	Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017

Bibliographical note

Publisher Copyright:
© 2017 Jonas Holfelt et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Holfelt, J., Csapo, G., Andersson, N., Zabetian, S., Castanieto, M., Overholt, D., Dahl, S., & Erkut, C. (2019). Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects. In T. Lokki, J. Patynen, & V. Valimaki (Eds.), Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017 (pp. 328-335). Aalto University.

Holfelt, Jonas ; Csapo, Gergely ; Andersson, Nikolaj et al. / Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects. Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017. editor / Tapio Lokki ; Jukka Patynen ; Vesa Valimaki. Aalto University, 2019. pp. 328-335 (Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017).

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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 parameters. Research in adaptive digital audio effects is covered along with studies about expressivity and important perceptual sound descriptors for communicating emotions. This project was aiming to exploit sounds as expressive indicators to create novel sound transformations. A test was conducted to see if guitar players could differentiate between an adaptive and non-adaptive version of a digital audio effect. The participants could hear a difference, especially when performing expressively. Although the adaptive 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 Nikolaj Andersson and Sohejl Zabetian and Michael Castanieto and Daniel Overholt and Sofia Dahl and Cumhur Erkut",

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Holfelt, J, Csapo, G, Andersson, N, Zabetian, S, Castanieto, M, Overholt, D , Dahl, S & Erkut, C 2019, Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects. in T Lokki, J Patynen & V Valimaki (eds), Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017. Aalto University, Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017, pp. 328-335, 14th Sound and Music Computing Conference, SMC 2017, Espoo, Finland, 05/07/2017.

Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects. / Holfelt, Jonas; Csapo, Gergely; Andersson, Nikolaj et al.
Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017. ed. / Tapio Lokki; Jukka Patynen; Vesa Valimaki. Aalto University, 2019. p. 328-335 (Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Holfelt J, Csapo G, Andersson N, Zabetian S, Castanieto M, Overholt D et al. Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects. In Lokki T, Patynen J, Valimaki V, editors, Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017. Aalto University. 2019. p. 328-335. (Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017).

Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects

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