2 papers
eess.AS2026
Unsupervised Approaches for Global Prosodic Embedding Extraction
Martin Meza, Luciana Ferrer, Pablo Riera
Prosody is central to oral communication, conveying information like the emotional state of the speaker and cues needed for meaning disambiguation. Many self-supervised models of s…
cs.LG2026
Better audio representations are more brain-like: linking model-brain alignment with performance in downstream auditory tasks
Leonardo Pepino, Pablo Riera, Juan Kamienkowski +1
Artificial neural networks are increasingly powerful models of brain computation, yet it remains unclear whether improving their performance in downstream tasks also makes their in…