A Survey of AI Music Generation Tools and Models
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Abstract (arXiv)
In this work, we provide a comprehensive survey of AI music generation tools, including both research projects and commercialized applications. To conduct our analysis, we classified music generation approaches into three categories: parameter-based, text-based, and visual-based classes. Our survey highlights the diverse possibilities and functional features of these tools, which cater to a wide range of users, from regular listeners to professional musicians. We observed that each tool has its own set of advantages and limitations. As a result, we have compiled a comprehensive list of these factors that should be considered during the tool selection process. Moreover, our survey offers critical insights into the underlying mechanisms and challenges of AI music generation.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 42 of its 101 references that are in the map. First posted on arXiv 24 Aug 2023.
Builds on
42 of 101 references.
References · 42
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30 more
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Built on by
Citing papers per year: 2024: 3; 2025: 5; 2026: 1.
9 papers.
- 2024Foundation Models for Music: A Surveycited by 37
- 2024Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Surveycited by 10
- 2025Towards Enhanced Immersion and Agency for LLM-based Interactive Dramacited by 9
- 2024Music Consistency Modelscited by 7
- 2025Vision-to-Music Generation: A Surveycited by 4
- 2025MusFlow: Multimodal Music Generation via Conditional Flow Matchingcited by 4
- 2025Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generationcited by 2
- 2026CoLyricist: Enhancing Lyric Writing with AI through Workflow-Aligned Supportcited by 1
- 2025Go witheFlow: Real-time Emotion Driven Audio Effects Modulationcited by 0
- 2026CoLyricist: Enhancing Lyric Writing with AI through Workflow-Aligned Support26 Feb 2026
- 2025Go witheFlow: Real-time Emotion Driven Audio Effects Modulation2 Oct 2025
- 2025Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation10 Jun 2025
- 2025MusFlow: Multimodal Music Generation via Conditional Flow Matching18 Apr 2025
- 2025Vision-to-Music Generation: A Survey27 Mar 2025
- 2025Towards Enhanced Immersion and Agency for LLM-based Interactive Drama25 Feb 2025
- 2024Foundation Models for Music: A Survey26 Aug 2024
- 2024Music Consistency Models20 Apr 2024
- 2024Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey27 Feb 2024