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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.08343 |
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| _version_ | 1866929624879988736 |
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| author | Nishizawa, Hiroki Tanaka, Keitaro Hirata, Asuka Yamaguchi, Shugo Feng, Qi Hamanaka, Masatoshi Morishima, Shigeo |
| author_facet | Nishizawa, Hiroki Tanaka, Keitaro Hirata, Asuka Yamaguchi, Shugo Feng, Qi Hamanaka, Masatoshi Morishima, Shigeo |
| contents | Automatically generating realistic musical performance motion can greatly enhance digital media production, often involving collaboration between professionals and musicians. However, capturing the intricate body, hand, and finger movements required for accurate musical performances is challenging. Existing methods often fall short due to the complex mapping between audio and motion, typically requiring additional inputs like scores or MIDI data. In this work, we present SyncViolinist, a multi-stage end-to-end framework that generates synchronized violin performance motion solely from audio input. Our method overcomes the challenge of capturing both global and fine-grained performance features through two key modules: a bowing/fingering module and a motion generation module. The bowing/fingering module extracts detailed playing information from the audio, which the motion generation module uses to create precise, coordinated body motions reflecting the temporal granularity and nature of the violin performance. We demonstrate the effectiveness of SyncViolinist with significantly improved qualitative and quantitative results from unseen violin performance audio, outperforming state-of-the-art methods. Extensive subjective evaluations involving professional violinists further validate our approach. The code and dataset are available at https://github.com/Kakanat/SyncViolinist. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_08343 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SyncViolinist: Music-Oriented Violin Motion Generation Based on Bowing and Fingering Nishizawa, Hiroki Tanaka, Keitaro Hirata, Asuka Yamaguchi, Shugo Feng, Qi Hamanaka, Masatoshi Morishima, Shigeo Graphics Sound Audio and Speech Processing Automatically generating realistic musical performance motion can greatly enhance digital media production, often involving collaboration between professionals and musicians. However, capturing the intricate body, hand, and finger movements required for accurate musical performances is challenging. Existing methods often fall short due to the complex mapping between audio and motion, typically requiring additional inputs like scores or MIDI data. In this work, we present SyncViolinist, a multi-stage end-to-end framework that generates synchronized violin performance motion solely from audio input. Our method overcomes the challenge of capturing both global and fine-grained performance features through two key modules: a bowing/fingering module and a motion generation module. The bowing/fingering module extracts detailed playing information from the audio, which the motion generation module uses to create precise, coordinated body motions reflecting the temporal granularity and nature of the violin performance. We demonstrate the effectiveness of SyncViolinist with significantly improved qualitative and quantitative results from unseen violin performance audio, outperforming state-of-the-art methods. Extensive subjective evaluations involving professional violinists further validate our approach. The code and dataset are available at https://github.com/Kakanat/SyncViolinist. |
| title | SyncViolinist: Music-Oriented Violin Motion Generation Based on Bowing and Fingering |
| topic | Graphics Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2412.08343 |