9 citations · 43 across the 69 of their papers we have counts for
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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…
MusicLIME: Explainable Multimodal Music Understanding
Theodoros Sotirou, Vassilis Lyberatos, Orfeas Menis Mastromichalakis +1
Multimodal models are critical for music understanding tasks, as they capture the complex interplay between audio and lyrics. However, as these models become more prevalent, the ne…
Perceptual Musical Features for Interpretable Audio Tagging
Vassilis Lyberatos, Spyridon Kantarelis, Edmund Dervakos +1
In the age of music streaming platforms, the task of automatically tagging music audio has garnered significant attention, driving researchers to devise methods aimed at enhancing…
The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals
Konstantia Zarkogianni, Edmund Dervakos, George Filandrianos +7
Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has…