A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives
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.
Code (0)
등록된 구현이 없습니다.
Tasks
Music GenerationSimilar Papers 제목 키워드 기반
Artificial Musical Intelligence: A Survey
Computers have been used to analyze and create music since they were first introduced in the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale platforms for music recommendation and r…
BIG-bench Machine LearningMusic RecommendationRetrievalSurveyVision-to-Music Generation: A Survey
Vision-to-music Generation, including video-to-music and image-to-music tasks, is a significant branch of multimodal artificial intelligence demonstrating vast application prospects in fields such as film scoring, short …
multimodal generationMusic GenerationSurveyApplications and Advances of Artificial Intelligence in Music Generation:A Review
In recent years, artificial intelligence (AI) has made significant progress in the field of music generation, driving innovation in music creation and applications. This paper provides a systematic review of the latest r…
Audio GenerationMusic GenerationArtificial Intelligence Agents in Music Analysis: An Integrative Perspective Based on Two Use Cases
This paper presents an integrative review and experimental validation of artificial intelligence (AI) agents applied to music analysis and education. We synthesize the historical evolution from rule-based models to conte…
A Review of Intelligent Music Generation Systems
With the introduction of ChatGPT, the public's perception of AI-generated content (AIGC) has begun to reshape. Artificial intelligence has significantly reduced the barrier to entry for non-professionals in creative ende…
BenchmarkingMusic Generation