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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstrakt

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.

Originalsprog	Engelsk
Titel	Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017
Redaktører	Tapio Lokki, Jukka Patynen, Vesa Valimaki
Antal sider	8
Forlag	Aalto University
Publikationsdato	2019
Sider	328-335
ISBN (Elektronisk)	9789526037295
Status	Udgivet - 2019
Begivenhed	14th Sound and Music Computing Conference, SMC 2017 - Espoo, Finland Varighed: 5 jul. 2017 → 8 jul. 2017

Konference

Konference	14th Sound and Music Computing Conference, SMC 2017
Land/Område	Finland
By	Espoo
Periode	05/07/2017 → 08/07/2017
Sponsor	Aalto University, Acoustical Society of Finland, Applied Sciences - Basel, Federation of Finnish Learned Societies, Genelec, Native Instruments

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

Bibliografisk 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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Link to publication in Scopus

Citationsformater

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. I T. Lokki, J. Patynen, & V. Valimaki (red.), Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017 (s. 328-335). Aalto University. Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017

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. red. / Tapio Lokki ; Jukka Patynen ; Vesa Valimaki. Aalto University, 2019. s. 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",

note = "Publisher Copyright: {\textcopyright} 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.; 14th Sound and Music Computing Conference, SMC 2017 ; Conference date: 05-07-2017 Through 08-07-2017",

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language = "English",

series = "Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017",

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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. i T Lokki, J Patynen & V Valimaki (red), 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, s. 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. red. / Tapio Lokki; Jukka Patynen; Vesa Valimaki. Aalto University, 2019. s. 328-335 (Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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T1 - Extraction, mapping, and evaluation of expressive acoustic features for adaptive digital audio effects

AU - Holfelt, Jonas

AU - Csapo, Gergely

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AU - Zabetian, Sohejl

AU - Castanieto, Michael

AU - Overholt, Daniel

AU - Dahl, Sofia

AU - Erkut, Cumhur

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PY - 2019

Y1 - 2019

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AB - 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.

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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. I Lokki T, Patynen J, Valimaki V, red., Proceedings of the 14th Sound and Music Computing Conference 2017, SMC 2017. Aalto University. 2019. s. 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

Abstrakt

Konference

Bibliografisk note

Andre filer og links

Fingeraftryk

Citationsformater