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Main Authors: Zhao, Zijing, Wang, Kai, Huang, Hao, Hu, Ying, He, Liang, Yang, Jichen
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.16020
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author Zhao, Zijing
Wang, Kai
Huang, Hao
Hu, Ying
He, Liang
Yang, Jichen
author_facet Zhao, Zijing
Wang, Kai
Huang, Hao
Hu, Ying
He, Liang
Yang, Jichen
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2506_16020
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge
Zhao, Zijing
Wang, Kai
Huang, Hao
Hu, Ying
He, Liang
Yang, Jichen
Sound
Audio and Speech Processing
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.
title VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge
topic Sound
Audio and Speech Processing
url https://arxiv.org/abs/2506.16020