arXiv:2606.17126cs.SDcs.AI2026-06中稿 · IEEE Transactions …

提升歌声转换中颤音与音色的独立控制能力

Vibrato Expression Control for Singing Voice Conversion with Improving Independent Control

论文配图:Vibrato Expression Control for Singing Voice Conversion with Improving Independent Control
图 1 · 摘自论文原文
  • 引入能量风格转换器解决音高与能量混淆问题
  • 支持零样本音高风格迁移与颤音速率独立调节
  • 提出亚谐波校正算法,改善嗓音嘶哑等特殊音色转换

歌唱风格是自然且富有表现力歌声的关键。现有方法尝试控制歌唱风格以增强表达力。最近的VibE-SVC通过预测高频基频轮廓实现颤音控制。本文提出VibE-SVC2框架,提升歌唱风格转换性能与可控性。该模型可独立控制两种风格:音高风格与音色风格。针对音高风格,为解决先前工作中存在的音高-能量纠缠问题,引入新型能量风格转换器,处理能量轮廓中残留的风格信息;并提出零样本音高风格转换器,模仿参考音频的音高风格。为增强可控性,提出颤音速率缩放机制,实现颤音幅度的独立控制(此前在VibE-SVC中不可用)。针对音色风格,模型扩展至支持多种发声方式,但传统基频提取在如声带沙哑等具有亚谐波特征的风格下常失效,影响转换质量。为此,提出一种新型亚谐波校正算法,优化基频轮廓,实现更自然的音色转换。通过全面的客观与主观评估,证明VibE-SVC2能实现精细、独立的双重风格控制,优于现有方法。

原文摘要 · Abstract (English)

Singing style is a crucial aspect of a natural and expressive singing voice. Singers utilize singing styles to convey the feeling or emotion of the songs. Several works have been proposed to control singing style for making the more expressive singing voice. Recently, VibE-SVC successfully controls vibrato by predicting high-frequency F0 contour. In this paper, we introduce a singing voice conversion framework, called VibE-SVC2, to improve singing style conversion performance and controllability. The model offers control over two types of singing styles: a pitch style and a timbre style. For the pitch style, to resolve the pitch-energy entanglement issue that is unresolved in our previous work, we introduce a novel Energy Style Converter to address remaining style information in the energy contour. In addition, we propose a Zero-shot Pitch Style Converter, which mimics the pitch style of reference audio. To expand the controllability of the model, we propose vibrato rate scaling that is an independent control of vibrato extent, which is unavailable in VibE-SVC. For the timbre style, we extend the model to handle a variety of phonation styles. However, addressing specific styles such as vocal fry poses a challenge, as conventional F0 extraction often fails due to their inherent subharmonic characteristics, which degrades the conversion quality. To address this, we propose a novel Subharmonic Correction algorithm to refine the F0 contour for more natural timbre conversion. Through comprehensive objective and subjective evaluations, we demonstrate that VibE-SVC2 provides fine-grained, independent control over two types of singing styles, outperforming existing methods.

语音转换颤音控制风格迁移亚谐波校正

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