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| Hauptverfasser: | , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2506.01982 |
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| _version_ | 1866918520433934336 |
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| author | Lyberatos, Vassilis Kantarelis, Spyridon Zioga, Ioanna Anagnostopoulou, Christina Stamou, Giorgos Georgaki, Anastasia |
| author_facet | Lyberatos, Vassilis Kantarelis, Spyridon Zioga, Ioanna Anagnostopoulou, Christina Stamou, Giorgos Georgaki, Anastasia |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_01982 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation Lyberatos, Vassilis Kantarelis, Spyridon Zioga, Ioanna Anagnostopoulou, Christina Stamou, Giorgos Georgaki, Anastasia Human-Computer Interaction Artificial Intelligence 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. |
| title | Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2506.01982 |