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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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
EditorsTapio Lokki, Jukka Patynen, Vesa Valimaki
Number of pages8
PublisherAalto University
Publication date2017
ISBN (Electronic)9789526037295
Publication statusPublished - 2017
Event14th Sound and Music Computing Conference, SMC 2017 - Espoo, Finland
Duration: 5 Jul 20178 Jul 2017


Conference14th Sound and Music Computing Conference, SMC 2017
SponsorAalto University, Acoustical Society of Finland, Applied Sciences - Basel, Federation of Finnish Learned Societies, Genelec, Native Instruments
SeriesProceedings of the Sound and Music Computing Conference

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