Abstract
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 VibE-SVC, 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.
| Original language | English |
|---|---|
| Pages (from-to) | 1233-1237 |
| Number of pages | 5 |
| Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 26th Interspeech Conference 2025 - Rotterdam, Netherlands Duration: 2025 Aug 17 → 2025 Aug 21 |
Bibliographical note
Publisher Copyright:© 2025 International Speech Communication Association. All rights reserved.
Keywords
- discrete wavelet transform
- singing style transfer
- singing voice conversion
- vibrato control
ASJC Scopus subject areas
- Software
- Signal Processing
- Language and Linguistics
- Modelling and Simulation
- Human-Computer Interaction
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