OpenMU: Your Swiss Army Knife for Music Understanding
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909405933469696 |
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| author | Zhao, Mengjie Zhong, Zhi Mao, Zhuoyuan Yang, Shiqi Liao, Wei-Hsiang Takahashi, Shusuke Wakaki, Hiromi Mitsufuji, Yuki |
| author_facet | Zhao, Mengjie Zhong, Zhi Mao, Zhuoyuan Yang, Shiqi Liao, Wei-Hsiang Takahashi, Shusuke Wakaki, Hiromi Mitsufuji, Yuki |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_15573 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | OpenMU: Your Swiss Army Knife for Music Understanding Zhao, Mengjie Zhong, Zhi Mao, Zhuoyuan Yang, Shiqi Liao, Wei-Hsiang Takahashi, Shusuke Wakaki, Hiromi Mitsufuji, Yuki Sound Artificial Intelligence Computation and Language Multimedia Audio and Speech Processing 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. |
| title | OpenMU: Your Swiss Army Knife for Music Understanding |
| topic | Sound Artificial Intelligence Computation and Language Multimedia Audio and Speech Processing |
| url | https://arxiv.org/abs/2410.15573 |