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 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.
Abstract (translated)
控制歌唱风格对于实现富有表现力和自然的歌声至关重要。在各种风格因素中，颤音（vibrato）在传达情感和增强音乐深度方面起着关键作用。然而，由于其动态特性，模拟颤音仍然具有挑战性，并且难以在声乐转换中进行精确控制。 为了应对这一挑战，我们提出了VibESVC模型，这是一种可控制的歌唱声音转换模型，它使用离散小波变换（discrete wavelet transform）明确地提取和操作颤音。与以往隐式建模颤音的方法不同，我们的方法将基频轮廓分解为不同的频率成分，从而能够进行精确的声音转移。这使得我们可以更灵活地控制颤音。 实验结果显示，VibESVC模型能够在转换歌唱风格的同时保持说话人的一致性。无论是主观评价还是客观评估都确认了这种高质量的转换效果。
URL
https://arxiv.org/abs/2505.20794
