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eess.AS2026
COSED: Setting the Bar for Open-Vocabulary Sound Event Detection
Florian Schmid, Sanjeel Parekh, Chi Ian Tang +5
Open-vocabulary Sound Event Detection detects and temporally localizes acoustic events described by arbitrary text queries. Progress in this emerging field is hard to assess: recen…
cs.SD2026
Mind the Microphone Gap: Benchmarking Array Upsampling Strategies for Latent Acoustic Mapping
Philipp Schmidt, Huw Cheston, Juan Azcarreta +3
Latent Acoustic Mapping (LAM) is a self-supervised learning method that generates high-resolution spherical acoustic maps from multichannel recordings without labelled data, matchi…
eess.AS2026
Sound Event Detection with Boundary-Aware Optimization and Inference
Florian Schmid, Chi Ian Tang, Sanjeel Parekh +9
Temporal detection problems appear in many fields including time-series estimation, activity recognition and sound event detection (SED). In this work, we propose a new approach to…