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cs.SD2026
Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice
Reyhaneh Abbasi, Peter Balazs, Vincent Lostanlen +4
Bioacoustic recordings are often degraded by ambient noise, which complicates the analysis of weak or noise-overlapped vocalizations. Convolutional neural networks, particularly U-…
cs.SD2024
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds
Ilyass Moummad, Nicolas Farrugia, Romain Serizel +2
Multi-label imbalanced classification poses a significant challenge in machine learning, particularly evident in bioacoustics where animal sounds often co-occur, and certain sounds…