SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis

Jiale Qian; Hao Meng; Tian Zheng; Pengcheng Zhu; Haopeng Lin; Yuhang Dai; Hanke Xie; Wenxiao Cao; Ruixuan Shang; Jun Wu; Hongmei Liu; Hanlin Wen; Jian Zhao; Zhonglin Jiang; Yong Chen; Shunshun Yin; Ming Tao; Jianguo Wei; Lei Xie; Xinsheng Wang

arXiv · 2602.07803

SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis

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Abstract

While recent years have witnessed rapid progress in speech synthesis, open-source singing voice synthesis (SVS) systems still face significant barriers to industrial deployment, particularly in terms of robustness and zero-shot generalization. In this report, we introduce SoulX-Singer, a high-quality open-source SVS system designed with practical deployment considerations in mind. SoulX-Singer supports controllable singing generation conditioned on either symbolic musical scores (MIDI) or melodic representations, enabling flexible and expressive control in real-world production workflows. Trained on more than 42,000 hours of vocal data, the system supports Mandarin Chinese, English, and Cantonese and consistently achieves state-of-the-art synthesis quality across languages under diverse musical conditions. Furthermore, to enable reliable evaluation of zero-shot SVS performance in practical scenarios, we construct SoulX-Singer-Eval, a dedicated benchmark with strict training-test disentanglement, facilitating systematic assessment in zero-shot settings.

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Jiale Qian, Hao Meng, Tian Zheng, Pengcheng Zhu, Haopeng Lin, Yuhang Dai, Hanke Xie, Wenxiao Cao, Ruixuan Shang, Jun Wu, Hongmei Liu, Hanlin Wen, Jian Zhao, Zhonglin Jiang, Yong Chen, Shunshun Yin, Ming Tao, Jianguo Wei, Lei Xie, Xinsheng Wang. 2026-02-08. SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis. https://arxiv.org/abs/2602.07803

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