AES Europe 2026

AES Europe 2026

Schedule as of May 16, 2022 - subject to change

Default Time Zone is CEST - Central European Summer Time
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LIVESTREAMS : A and B

ON DEMAND VIDEOS (previous days)

9:00am CEST

Automating sound design for adaptive video game narration

Friday May 29, 2026 9:00am - 11:00am CEST

Foyer Building 303A

HAMLET is a research project that investigates the
integration of Artificial Intelligence; co-creation
practices within the creative industries. The project
proposes AI-driven enablers to support artists through
collaborative workflows between creative practitioners;
technology providers. This work focuses on an automated
sound design framework for text-based role-playing games,
where the game narration is dynamically generated through
player textual interaction with an LLM. To address this
unpredictability, the proposed system generates adaptive
soundscapes automatically from textual scene descriptions.
An LLM identifies semantically relevant sound sources,
which are then matched to audio libraries through metadata
alignment. The files are assessed for quality,; are fed
to an automated mixing module. The framework addresses
challenges related to semantic alignment, audio quality,
aesthetic balance,; file size constraints.

Authors

Charalampos Dimoulas

Aristotle University of Thessaloniki

George Kalliris

Aristotle University of Thessaloniki

Lazaros Vrysis

Aristotle University of Thessaloniki

Marina Eirini Stamatiadou

Aristotle University of Thessaloniki

Nikolaos Vryzas

Aristotle University of Thessaloniki

Dr. Nikolaos Vryzas was born in Thessaloniki in 1990. He studied Electrical & Computer Engineering in the Aristotle University of Thessaloniki (AUTh). After graduating, he received his master degrees on Information and Communication Audio Video Technologies for Education & Production from the Interdepartme... Read More →

Friday May 29, 2026 9:00am - 11:00am CEST
Foyer Building 303A Technical University of Denmark Asmussens Alle, Building 303A DK-2800 Kgs. Lyngby Denmark

AI and Machine Learning in Audio, Poster | Sound Design, Poster

Presentation Type Poster

1:00pm CEST

Real-Time Heart Rate Sonification Using Spectral Filtering of Preferred Music for Running Training

Friday May 29, 2026 1:00pm - 3:00pm CEST

Foyer Building 303A

The purpose of this study was to evaluate a sonification
system that maps live heart rate data to real-time spectral
filtering of a runner's preferred music. Assessed using a
within-subjects design (n = 13), the system employs
high-pass; low-pass filters to indicate deviations from
target heart rate zones, providing instantaneous
biofeedback without requiring visual attention.
Quantitative analysis revealed no statistically significant
differences in target zone accuracy or response time
between auditory, visual,; combined conditions. However,
qualitative thematic analysis identified a clear division
in user preference. Participants favouring the auditory
condition demonstrated faster mean response times to audio
biofeedback. Findings suggest that while sonification
promotes environmental focus; "gamifies" training, its
efficacy is highly dependent on individual processing
styles; music familiarity.

Authors

Duncan Williams

Senior Lecturer, Acoustics Research Centre, University of Salford

Jay Steel

Acoustics Research Centre, University of Salford

Nicholas Ripley

School of Health and Society, University of Salford

Friday May 29, 2026 1:00pm - 3:00pm CEST
Foyer Building 303A Technical University of Denmark Asmussens Alle, Building 303A DK-2800 Kgs. Lyngby Denmark

Audio Applications and Technologies, Poster | Cross-Disciplinary Sound Studies, Poster | Perception, Poster | Sound Design, Poster

Presentation Type Poster