Organised by: Malte Kob

Organised by: Mario Wolf & Roland Brunner

Organised by: Christoph Reuter & Johann-Markus Batke

Organised by: Malte Kob

Organised by: Gert Herold, Stefan Jacob & Thomas Geyer

Organised by: Heiko Atzrodt & Mert Dogu

Organised by: Stefan Schoder & Viktor Hruska

Organised by: Janina Fels & Carolin Breuer

This session is dedicated to auditory cognition in interactive virtual environments. We invite contributions exploring how interactive virtual and mixed reality environments can serve as realistic yet controlled settings for investigating the fundamental processes of auditory perception and cognition. Topics include the generation and rendering of acoustic scenes, natural listener–scene interaction, and methods for assessing the quality of VR-based auditory research.
 

Organised by: Jürgen Peissig & Stefan Weinzierl

Organised by: Michael Jäcker-Cüppers & Jenny Böhm

Organisation und Moderation: ALD und DZSF (Deutsches Zentrum für Schienenverkehrsforschung)

Themen:
- Modellierung, Messung, Simulation und technische Minderung der Geräuschemissionen des Schienenverkehrs
- Wirkung, Regulierung und Minderung des Schienenverkehrslärm

Organised by: Robert Mettin 

Organised by: Jakob Abeßer & Andrew Fairbairn

This session focuses on computational and acoustic methods for studying animal sounds—covering species/individual identification, passive acoustic monitoring for population and behavior studies, and habitat-specific challenges like noise and data scarcity. It bridges AI-based machine listening (deep learning, foundation models like BirdNET) and classical signal processing, aiming to connect acousticians, bioacoustics/machine listening researchers, and ecologists. Unlike urban soundscape research focused on human perception, this session centers on animal acoustic behavior for biodiversity and ecosystem health assessment. Submissions can include original research, dataset/system demos, tutorials, or overview talks spanning acoustics, computer science, ecology, and conservation biology.

 

Organised by: Heiko Atzrodt & Robert Henneberger

Organised by: Sandra Dantscher & Helga Sukowski

Organised by: Jan Abshagen, Ivor Nissen & Gerhard Schmidt

Organised by: Stefan Balke & Meinard Müller

Music Information Retrieval (MIR) has evolved into a vibrant interdisciplinary field at the intersection of computer science, acoustics, and musicology. At its core, MIR addresses fundamental challenges in accessing, understanding, and interacting with music across diverse formats and data modalities. This session brings together researchers working on both foundational and applied aspects of MIR, with a focus on music processing, audio signal processing, machine learning, and artificial intelligence. Topics include deep learning techniques for raw audio analysis, hybrid and explainable modeling, the integration of musical domain knowledge into data-driven approaches, and the use of specialized music corpora for cross-disciplinary applications.

We particularly encourage experimental and exploratory contributions that investigate unconventional ideas, offer novel research perspectives, reveal the strenghts and limitations of machine learning methods in the music domain, or address educational aspects of MIR. Contributions are welcome from researchers in MIR, audio engineering, computational musicology, music recommendation, digital music libraries, and related areas.
 

Topics of interest include, but are not limited to:

• Deep learning for audio and symbolic music data
• Hybrid, explainable, and differentiable models
• Data preprocessing, augmentation, and annotation
• Structure analysis, transcription, and source separation
• Interactive and human-in-the-loop systems
• Applications in musicology, recommendation, and retrieval
• Open infrastructure, benchmarking, and reproducibility

Notes: Contributions may be submitted in English or German. The session will be held in English by default, with German-language presentations possible upon request.
 

Organised by: Wafaa Wardah, Robert Spang & Sebastian Möller

This session will bring together research on subjective and instrumental assessment of AI-generated and AI-enhanced speech in audiovisual communication, including perceptual quality dimensions, audiovisual interactions and coherence, speech and audio enhancement, generative speech, and machine-learning-based quality prediction. The session aims to connect established expertise in acoustic and speech quality assessment with emerging challenges in multimodal, AI-mediated communication.

Organised by: Matthias Frank & Christoph Pörschmann

In virtual acoustic environments, sound sources are often represented using simplified models of their spatial characteristics. In contrast, real-world sound sources can exhibit complex, potentially time-varying radiation patterns, and their acoustic centre may be frequency-dependent or even change over time. This structured session brings together contributions addressing the measurement, modeling, and auralization of spatial sound source characteristics.

 

Organised by: Florian Kraxberger, Christian Adams & Dominik Mayrhofer

Traffic noise remains a major environmental challenge in urban areas and requires interdisciplinary research. This structured session will address current advances in the understanding and mitigation of transportation noise, including noise source mechanisms, noise propagation, and effects of noise exposure on humans. Contributions are invited on road, rail, air traffic, and other emerging mobility-related noise sources such as urban air mobility and electric and autonomous vehicles. Topics of interest include new noise mitigation measures, e.g., acoustic metamaterials under practical constraints in cities (space, materials, circularity etc.), psychoacoustic assessment of noise exposure, noise mapping and soundscape research towards a quieter city, as well as emerging methods to analyse, predict or manage noise in cities. The session aims to provide a forum for discussing recent scientific developments, methodological advances, and future challenges in creating acoustically sustainable and livable urban environments.
 

Organised by: André Fiebig & Jochen Steffens

Umgebungslärm muss nach wie vor zu den führenden umweltbedingten Gesundheitsrisiken gezählt werden. Mit verschiedenen Maßnahmen und Intervention wird daher auf vielen Ebenen versucht, Umgebungslärm zu mindern und damit diverse Lärmwirkungen zu verringern. Dabei rückt zunehmend auch die wahrnehmungsbezogene Bewertung von Maßnahmen und Interventionen zur Lärmbekämpfung in der Vordergrund, um neben der technischen Charakterisierung von Maßnahmen auch die wahrnehmungsbezogene Wirksamkeit von Maßnahmen betrachten zu können. Im Rahmen der strukturierten Sitzung sind alle Beiträge willkommen, die sich mit der Untersuchung der Wirksamkeit von Maßnahmen und Interventionen zur Lärmbekämpfung auch aus der Perspektive der Wahrnehmung beschäftigen.