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cs.SD2025
Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning
Richard Lindholm, Oscar Marklund, Olof Mogren +1
The vast amounts of audio data collected in Sound Event Detection (SED) applications require efficient annotation strategies to enable supervised learning. Manual labeling is expen…
cs.SD2024
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
John Martinsson, Olof Mogren, Maria Sandsten +1
We propose an adaptive change point detection method (A-CPD) for machine guided weak label annotation of audio recording segments. The goal is to maximize the amount of information…