A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives
October 25, 2022 Β· The Cartographer Β· π arXiv.org
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"Title-pattern auto-detect: A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives"
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Authors
Carlos Hernandez-Olivan, Javier Hernandez-Olivan, Jose R. Beltran
arXiv ID
2210.13944
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.SD,
eess.AS
Citations
10
Venue
arXiv.org
Last Checked
3 days ago
Abstract
Music is one of the Gardner's intelligences in his theory of multiple intelligences. How humans perceive and understand music is still being studied and is crucial to develop artificial intelligence models that imitate such processes. Music generation with Artificial Intelligence is an emerging field that is gaining much attention in the recent years. In this paper, we describe how humans compose music and how new AI systems could imitate such process by comparing past and recent advances in the field with music composition techniques. To understand how AI models and algorithms generate music and the potential applications that might appear in the future, we explore, analyze and describe the agents that take part of the music generation process: the datasets, models, interfaces, the users and the generated music. We mention possible applications that might benefit from this field and we also propose new trends and future research directions that could be explored in the future.
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