A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives

Multi-modal music generation, using multiple modalities like text, images, and video alongside musical scores and audio as guidance, is an emerging research area with broad applications. This paper reviews this field, categorizing music generation systems from the perspective of modalities. The review covers modality representation, multi-modal data alignment, and their utilization to guide music generation. Current datasets and evaluation methods are also discussed. Key challenges in this area include effective multi-modal integration, large-scale comprehensive datasets, and systematic evaluation methods. Finally, an outlook on future research directions is provided, focusing on creativity, efficiency, multi-modal alignment, and evaluation.

Publication Details

Journal
arXiv (Cornell University)
Published
2025-04-01
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives

arXiv (Cornell University)
Music Technology and Sound Studies
article

A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives

article en

Abstract

Multi-modal music generation, using multiple modalities like text, images, and video alongside musical scores and audio as guidance, is an emerging research area with broad applications. This paper reviews this field, categorizing music generation systems from the perspective of modalities. The review covers modality representation, multi-modal data alignment, and their utilization to guide music generation. Current datasets and evaluation methods are also discussed. Key challenges in this area include effective multi-modal integration, large-scale comprehensive datasets, and systematic evaluation methods. Finally, an outlook on future research directions is provided, focusing on creativity, efficiency, multi-modal alignment, and evaluation.

arXiv (Cornell University)
National Natural Science Foundation of China
Openalex Percentile: Top 48%
Music Technology and Sound Studies
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A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives · arXiv (Cornell University) (2025) | TGRS Research Map | TGRS