5 papers
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…
Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation
Vassilis Lyberatos, Spyridon Kantarelis, Ioanna Zioga +3
This study investigates emotional expression and perception in music performance using computational and neurophysiological methods. The influence of different performance settings…
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…