تقرير
Decoding and Visualising Intended Emotion in an Expressive Piano Performance
العنوان: | Decoding and Visualising Intended Emotion in an Expressive Piano Performance |
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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. |