Speech applications ask many questions about the same voice: which emotion a listener perceives, how aroused the speaker sounds, whether they sound frustrated. Classifiers answer fast, over one fixed label set; audio language models (ALMs) take any question in text, but answer by generation, one pass per question, with...
Jaime Bellver-Soler, Iván Martín-Fernández, Anmol Guragain et al.· 0 citations
Advances in Artificial Intelligence (AI) and research on human cognition have long evolved in parallel, each informing and constraining the other. This dissertation adopts that perspective and treats AI as a scientific instrument for studying subjective human perception. It asks whether inherently subjective perceptual...
A Window Transformer architecture grounded in the Multiple Instance Learning (MIL) paradigm, which decomposes the full sequence as a single temporal stream into overlapping windows and learns to assign greater relevance to those segments containing stronger emotional content, providing a more interpretable framework.
Sergio Esteban-Romero, Iván Martín-Fernández, R. San-Segundo et al.· Frontiers in Artificial Inte...· 0 citations
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