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PAST EVENT · 16 JUNE 2026 · MAASTRICHT

Bioacoustics
Student Seminar

A one-day hybrid research seminar with students and researchers from Maastricht, Utrecht, and Tilburg universities.

DATE16 June 2026
TIME10:30–16:00 CEST
VENUERoom C2.007, Maastricht

PROGRAMME

Talks & abstracts

Select a talk for a short summary. The original event page has the full abstracts.

10:30 Welcome & opening · Aki Härmä
SESSION 1 · ACOUSTIC MODELING & SEQUENCE ANALYSIS
Casper BröchelerEvent-Based Causal Analysis of Zoo Aviary Soundscapes Using Point Process Models

Acoustic and environmental events are modeled as time series to explore how earlier events relate to later bird vocal activity.

Bernardo Amado Pereira da CostaLanguage-Model-Based Sequence Modeling for Bird Vocalizations

Compares sequence models and language-model approaches for learning temporal structure in bird vocalization events.

Daniel MarconTransformers for Deinterleaving Symbol Sequences in Bird Vocalizations

Investigates transformer models for separating overlapping vocalization sequences into their likely sources.

12:10 Lunch break
SESSION 2 · POPULATION & INDIVIDUAL-LEVEL ANALYSIS
Gaspar KuperDiscovery and Identification of Bird Individuals Using Acoustic and Proximity Data

Combines sound, proximity signals, and observations to study individual Rüppell’s vultures.

Emre ArgınAvian Population Estimation from Acoustic Recordings

Examines detection features, acoustic embeddings, and regression for bird population estimation in zoo aviaries.

14:10 Coffee break
SESSION 3 · VOCAL COMPLEXITY & COMPARATIVE BIOACOUSTICS
Céline AngoninComparing Multi-Task Strategies for Multiple Dataset Learning in Bioacoustics

Studies whether training across different bioacoustics datasets improves classification and generalization.

Thijs DuinmeijerComparing Vocal Complexity of Old World Vultures

Tests relationships between social complexity and vocal repertoire across vulture species.

15:40 Open questions & closing

This event took place on 16 June 2026. Read the full original abstracts ↗