Dear colleagues.
The annual conference on acoustics, DAGA 2027, will be held in Darmstadt,
Germany from 08 to 11 March 2027.
At this conference, we are organizing a structured session entitled
“Computational Audio Analysis for Bioacoustic and Biodiversity Measurement” (as
announced on the website
https://www.daga2027.de/en/programm/lectures-and-posters).
This structured session explores acoustic methods for studying non-human sound
sources such as animal sounds and vocalizations (e.g., mammals, birds,
amphibians, fish, insects), and their use for biodiversity assessment, species
and individual identification, population monitoring, and habitat/ecosystem
health evaluation. Unlike urban soundscape research, which centers on human
perception and well-being, this session centers on the acoustic behavior and
presence of living animals. The main focus is on computational methods, which
can include both AI-based machine listening approaches (e.g. deep learning for
species classification, sound event detection, or acoustic indices) as wellas
classical audio signal processing techniques. The session aims to connect
acousticians, bioacoustics and machine listening researchers, as well as
biologists/ecologists.
Submissions may include original research, system/dataset demonstrations, short
tutorials, or overview presentations from acoustics, computer science, ecology,
or conservation biology.
Possible topics include:
- Species and Individual Identification: Automated classification of birds,
bats, marine mammals, insects, amphibians, and other taxa from acoustic
recordings, including individual-level identification (e.g. individual whale or
bird call signatures) and multi-species detection in complex soundscapes
- Passive Acoustic Monitoring (PAM) for Population and Behavior Studies:
Long-term, autonomous monitoring for estimating population density, occupancy,
migration timing, and behavioral patterns, on land and underwater, including
sensor network design and large-scale/citizen-science data collection
- Domain- and Habitat-Specific Challenges: Handling extreme environmental noise,
device/recorder heterogeneity, remote and energy-constrained deployments, and
vast, unbalanced, often unlabeled long-term audio archives
- Data Scarcity, Transfer, and Foundation Models: Strategies for limited or
imbalanced labeled data, including transfer learning, self-supervised and
few-shot learning, synthetic data/augmentation, bioacoustic foundation models
(e.g. BirdCODE, BirdNET, Perch), and multi-modal integration with imagery,
environmental sensors, or citizen-science metadata
- Interdisciplinary Exchange between Bioacoustics, Ecology, and Audio
Technology: Contributions connecting ecological/behavioral research questions
with acoustic engineering methods, including joint fieldwork, dataset/tool
sharing, and methodological standardization across disciplines
We would like to invite you to submit an abstract. Presentations may be in the
form of a talk or a poster. The session will be held mainly in English, but
German contributions are possible.
The following deadlines are important:
1 November 2026 - Abstract (max. 200 words) submission deadline
December 2026 - Notification of acceptance
31 March 2027 - Optional submission of a conference paper
Additional information can be found at https://www.daga2027.de/en/.
If you plan to contribute a paper, please notify us briefly and share the names
of authors and the title of your planned paper. Furthermore, make sure to
register online at https://www.daga2027.de/en/registration and then submit your
abstract at https://www.daga2027.de/en/author-information.
With kind regards,
Jakob Abeßer [1] & Andrew Fairbairn [2]
[1] University of Bamberg
[2] Max Planck Institute for Biological Intelligence; RARElab Science &
Conservation
--
Prof. Dr. Jakob Abeßer
Professur für Computational Humanities
Otto-Friedrich-Universität Bamberg
Fakultät Wirtschaftsinformatik und Angewandte Informatik
WE5/04.113, An der Weberei 5, 96047 Bamberg
Tel.: +49 (0) 951 863-3114
E-Mail:
Web: https://www.uni-bamberg.de/ch/
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