1 citations · 3 across the 9 of their papers we have counts for
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Pose-Aware Multimodal Automatic Tagging for Greek Traditional Music
Alexandros Alexiou, Charilaos Papaioannou, Alexandros Potamianos
Automatic tagging is a core task in Music Information Retrieval (MIR), yet most tagging systems exploit only audio. Live music performance is inherently multimodal, as semantic lab…
CultureMERT: Continual Pre-Training for Cross-Cultural Music Representation Learning
Angelos-Nikolaos Kanatas, Charilaos Papaioannou, Alexandros Potamianos
Recent advances in music foundation models have improved audio representation learning, yet their effectiveness across diverse musical traditions remains limited. We introduce Cult…
Universal Music Representations? Evaluating Foundation Models on World Music Corpora
Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos
Foundation models have revolutionized music information retrieval, but questions remain about their ability to generalize across diverse musical traditions. This paper presents a c…
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos
We introduce Label-Combination Prototypical Networks (LC-Protonets) to address the problem of multi-label few-shot classification, where a model must generalize to new classes base…
From West to East: Who can understand the music of the others better?
Charilaos Papaioannou, Emmanouil Benetos, Alexandros Potamianos
Recent developments in MIR have led to several benchmark deep learning models whose embeddings can be used for a variety of downstream tasks. At the same time, the vast majority of…
A Dataset for Greek Traditional and Folk Music: Lyra
Charilaos Papaioannou, Ioannis Valiantzas, Theodoros Giannakopoulos +2
Studying under-represented music traditions under the MIR scope is crucial, not only for developing novel analysis tools, but also for unveiling musical functions that might prove…