VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866914074407731200 |
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| author | Choi, Joon-Seung Byun, Dong-Min Oh, Hyung-Seok Lee, Seong-Whan |
| author_facet | Choi, Joon-Seung Byun, Dong-Min Oh, Hyung-Seok Lee, Seong-Whan |
| contents | Controlling singing style is crucial for achieving an expressive and natural singing voice. Among the various style factors, vibrato plays a key role in conveying emotions and enhancing musical depth. However, modeling vibrato remains challenging due to its dynamic nature, making it difficult to control in singing voice conversion. To address this, we propose VibESVC, a controllable singing voice conversion model that explicitly extracts and manipulates vibrato using discrete wavelet transform. Unlike previous methods that model vibrato implicitly, our approach decomposes the F0 contour into frequency components, enabling precise transfer. This allows vibrato control for enhanced flexibility. Experimental results show that VibE-SVC effectively transforms singing styles while preserving speaker similarity. Both subjective and objective evaluations confirm high-quality conversion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_20794 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion Choi, Joon-Seung Byun, Dong-Min Oh, Hyung-Seok Lee, Seong-Whan Sound Artificial Intelligence Audio and Speech Processing Controlling singing style is crucial for achieving an expressive and natural singing voice. Among the various style factors, vibrato plays a key role in conveying emotions and enhancing musical depth. However, modeling vibrato remains challenging due to its dynamic nature, making it difficult to control in singing voice conversion. To address this, we propose VibESVC, a controllable singing voice conversion model that explicitly extracts and manipulates vibrato using discrete wavelet transform. Unlike previous methods that model vibrato implicitly, our approach decomposes the F0 contour into frequency components, enabling precise transfer. This allows vibrato control for enhanced flexibility. Experimental results show that VibE-SVC effectively transforms singing styles while preserving speaker similarity. Both subjective and objective evaluations confirm high-quality conversion. |
| title | VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion |
| topic | Sound Artificial Intelligence Audio and Speech Processing |
| url | https://arxiv.org/abs/2505.20794 |