تقرير
Music Composition with Deep Learning: A Review
العنوان: | Music Composition with Deep Learning: A Review |
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المؤلفون: | Hernandez-Olivan, Carlos, Beltran, Jose R. |
سنة النشر: | 2021 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Sound, Computer Science - Artificial Intelligence, Electrical Engineering and Systems Science - Audio and Speech Processing |
الوصف: | Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical language. Music generation have been faced with Algorithmic methods and recently, with Deep Learning models that are being used in other fields such as Computer Vision. In this paper we want to put into context the existing relationships between AI-based music composition models and human musical composition and creativity processes. We give an overview of the recent Deep Learning models for music composition and we compare these models to the music composition process from a theoretical point of view. We have tried to answer some of the most relevant open questions for this task by analyzing the ability of current Deep Learning models to generate music with creativity or the similarity between AI and human composition processes, among others. |
نوع الوثيقة: | Working Paper |
URL الوصول: | http://arxiv.org/abs/2108.12290 |
رقم الأكسشن: | edsarx.2108.12290 |
قاعدة البيانات: | arXiv |
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