Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation

May 16, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Vassilis Lyberatos, Spyridon Kantarelis, Ioanna Zioga, Christina Anagnostopoulou, Giorgos Stamou, Anastasia Georgaki arXiv ID 2506.01982 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
This study investigates emotional expression and perception in music performance using computational and neurophysiological methods. The influence of different performance settings, such as repertoire, diatonic modal etudes, and improvisation, as well as levels of expressiveness, on performers' emotional communication and listeners' reactions is explored. Professional musicians performed various tasks, and emotional annotations were provided by both performers and the audience. Audio analysis revealed that expressive and improvisational performances exhibited unique acoustic features, while emotion analysis showed stronger emotional responses. Neurophysiological measurements indicated greater relaxation in improvisational performances. This multimodal study highlights the significance of expressivity in enhancing emotional communication and audience engagement.
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