6 papers
Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care
Vassilis Lyberatos, Edmund G. Dervakos, Eleni Adamidi +2
Speech and language technologies offer valuable opportunities for supporting mental health assessment through objective and interpretable cues. We present a systematic feature-base…
Semantic-Aware Interpretable Multimodal Music Auto-Tagging
Andreas Patakis, Vassilis Lyberatos, Spyridon Kantarelis +2
Music auto-tagging is essential for organizing and discovering music in extensive digital libraries. While foundation models achieve exceptional performance in this domain, their o…
Go witheFlow: Real-time Emotion Driven Audio Effects Modulation
Edmund Dervakos, Spyridon Kantarelis, Vassilis Lyberatos +2
Music performance is a distinctly human activity, intrinsically linked to the performer's ability to convey, evoke, or express emotion. Machines cannot perform music in the human s…
Exploring How Audio Effects Alter Emotion with Foundation Models
Stelios Katsis, Vassilis Lyberatos, Spyridon Kantarelis +2
Audio effects (FX) such as reverberation, distortion, modulation, and dynamic range processing play a pivotal role in shaping emotional responses during music listening. While prio…
CHORDONOMICON: A Dataset of 666,000 Songs and their Chord Progressions
Spyridon Kantarelis, Konstantinos Thomas, Vassilis Lyberatos +2
Chord progressions encapsulate important information about music, pertaining to its structure and conveyed emotions. They serve as the backbone of musical composition, and in many…
Semantic Prototypes: Enhancing Transparency Without Black Boxes
Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis +2
As machine learning (ML) models and datasets increase in complexity, the demand for methods that enhance explainability and interpretability becomes paramount. Prototypes, by encap…