Nuanced Music Emotion Recognition via a Semi‑Supervised Multi‑Relational Graph Neural Network

Nuanced Music Emotion Recognition via a Semi‑Supervised Multi‑Relational Graph Neural Network

Music emotion recognition (MER) seeks to understand the complex emotional landscapes elicited by music, acknowledging music’s profound social and psychological roles beyond traditional tasks such as genre classification or content similarity. MER relies heavily on high‑quality emotional annotations,...

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Bibliographic Details
Main Authors: Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zentner, Eva Zangerle
Format: Article
Language:English
Published: Ubiquity Press 2025-06-01
Series:Transactions of the International Society for Music Information Retrieval
Subjects:
music emotion recognition
graph neural networks
semi-supervised learning
contrastive loss
evoked emotions
node representation
multi-relational
genres
tags
Online Access:https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/235
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https://account.transactions.ismir.net/index.php/up-j-tismir/article/view/235

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