تقرير
Decoding and Visualising Intended Emotion in an Expressive Piano Performance
| العنوان: | Decoding and Visualising Intended Emotion in an Expressive Piano Performance |
|---|---|
| المؤلفون: | Chowdhury, Shreyan, Widmer, Gerhard |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing |
| الوصف: | Expert musicians can mould a musical piece to convey specific emotions that they intend to communicate. In this paper, we place a mid-level features based music emotion model in this performer-to-listener communication scenario, and demonstrate via a small visualisation music emotion decoding in real time. We also extend the existing set of mid-level features using analogues of perceptual speed and perceived dynamics. Comment: Extended version of Late-Breaking Demo Session paper accepted at ISMIR 2022 (23rd Int. Society for Music Information Retrieval Conf., Bengaluru, India, 2022) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2303.01875 |
| رقم الأكسشن: | edsarx.2303.01875 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |