SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis
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 C...
| Authors | Jiale Qian, Hao Meng, Tian Zheng et al. |
|---|---|
| Primary category | eess.AS |
| Published | 8 February 2026 |
| Last updated at source | 16 March 2026 |
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- Soul-AILab/SoulX-SingerModel · cited by
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