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.
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