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.SD2025
Benchmarking Time-localized Explanations for Audio Classification Models
Cecilia Bolaños, Leonardo Pepino, Martin Meza +1
Most modern approaches for audio processing are opaque, in the sense that they do not provide an explanation for their decisions. For this reason, various methods have been propose…