3 papers
cs.SD2026
Can pre-trained Deep Learning models predict groove ratings?
Axel Marmoret, Nicolas Farrugia, Jan Alexander Stupacher
This study explores the extent to which deep learning models can predict groove and its related perceptual dimensions directly from audio signals. We critically examine the effecti…
cs.SD2026
Domain-Invariant Representation Learning of Bird Sounds
Ilyass Moummad, Romain Serizel, Emmanouil Benetos +1
Passive acoustic monitoring (PAM) is crucial for bioacoustic research, enabling non-invasive species tracking and biodiversity monitoring. Citizen science platforms provide large a…
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…