English

OpenMU: Your Swiss Army Knife for Music Understanding

Sound 2024-11-28 v3 Artificial Intelligence Computation and Language Multimedia Audio and Speech Processing

Abstract

We present OpenMU-Bench, a large-scale benchmark suite for addressing the data scarcity issue in training multimodal language models to understand music. To construct OpenMU-Bench, we leveraged existing datasets and bootstrapped new annotations. OpenMU-Bench also broadens the scope of music understanding by including lyrics understanding and music tool usage. Using OpenMU-Bench, we trained our music understanding model, OpenMU, with extensive ablations, demonstrating that OpenMU outperforms baseline models such as MU-Llama. Both OpenMU and OpenMU-Bench are open-sourced to facilitate future research in music understanding and to enhance creative music production efficiency.

Keywords

Cite

@article{arxiv.2410.15573,
  title  = {OpenMU: Your Swiss Army Knife for Music Understanding},
  author = {Mengjie Zhao and Zhi Zhong and Zhuoyuan Mao and Shiqi Yang and Wei-Hsiang Liao and Shusuke Takahashi and Hiromi Wakaki and Yuki Mitsufuji},
  journal= {arXiv preprint arXiv:2410.15573},
  year   = {2024}
}

Comments

Resources: https://github.com/sony/openmu