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arXiv · 2506.16020

VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge

Zijing Zhao·Kai Wang·Hao Huang·Ying Hu·Liang He·Jichen Yang
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Abstract

To explore the potential advantages of utilizing spatial cues from images for generating stereo singing voices with room reverberation, we introduce VS-Singer, a vision-guided model designed to produce stereo singing voices with room reverberation from scene images. VS-Singer comprises three modules: firstly, a modal interaction network integrates spatial features into text encoding to create a linguistic representation enriched with spatial information. Secondly, the decoder employs a consistency Schrödinger bridge to facilitate one-step sample generation. Moreover, we utilize the SFE module to improve the consistency of audio-visual matching. To our knowledge, this study is the first to combine stereo singing voice synthesis with visual acoustic matching within a unified framework. Experimental results demonstrate that VS-Singer can effectively generate stereo singing voices that align with the scene perspective in a single step.

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Zijing Zhao, Kai Wang, Hao Huang, Ying Hu, Liang He, Jichen Yang. 2025-06-19. VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge. https://arxiv.org/abs/2506.16020

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