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Predicting Perceived Semantic Expression of Functional Sounds Using Unsupervised Feature Extraction and Ensemble Learning Cover

Predicting Perceived Semantic Expression of Functional Sounds Using Unsupervised Feature Extraction and Ensemble Learning

Transactions of the International Society for Music Information Retrieval
Volume 9 (2026): Issue 1
By: Annika Frommholz,  Steffen Lepa,  Tom Virkus,  Stefan Weinzierl and  Johannes Helberger  
Open Access
|Mar 2026

Authors

Annika Frommholz

frommholz@tu-berlin.de

Fachgebiet Audiokommunikation, Technische Universität Berlin, Einsteinufer 17c, 10587 Berlin

Steffen Lepa

steffen.lepa@tu-berlin.de

Fachgebiet Audiokommunikation, Technische Universität Berlin, Einsteinufer 17c, 10587 Berlin

Tom Virkus

virkus@tu-berlin.de

Fachgebiet Audiokommunikation, Technische Universität Berlin, Einsteinufer 17c, 10587 Berlin

Stefan Weinzierl

stefan.weinzierl@tu-berlin.de

Fachgebiet Audiokommunikation, Technische Universität Berlin, Einsteinufer 17c, 10587 Berlin

Johannes Helberger

helberger@soundinnovationlab.com

UX Sound Innovation Lab GmbH, Weserstr. 82, 12059 Berlin
DOI: https://doi.org/10.5334/tismir.290 | Journal eISSN: 2514-3298
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Language: English
Submitted on: Jun 30, 2025
|
Accepted on: Jan 26, 2026
|
Published on: Mar 2, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
human–computer interaction,
functional sounds,
ensemble learning,
feature extraction

© 2026 Annika Frommholz, Steffen Lepa, Tom Virkus, Stefan Weinzierl, Johannes Helberger, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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