3 papers
cs.LG2026
Dolph2Vec: Self-Supervised Representations of Dolphin Vocalizations
Chiara Semenzin, Faadil Mustun, Roberto Dessi +5
Self-supervised learning (SSL) has opened new opportunities in bioacoustics by enabling scalable modeling of animal vocalizations without the need for expensive manual annotation.…
cs.AI2026
Emergence of Phonemic, Syntactic, and Semantic Representations in Artificial Neural Networks
Pierre Orhan, Pablo Diego-Simón, Emmnanuel Chemla +3
During language acquisition, children successively learn to categorize phonemes, identify words, and combine them with syntax to form new meaning. While the development of this beh…
q-bio.NC2022
Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex
Pierre Orhan, Yves Boubenec, Jean-Rémi King
Over the last decade, numerous studies have shown that deep neural networks exhibit sensory representations similar to those of the mammalian brain, in that their activations linea…