
Wangyue developed the BatonVoice core architecture for the Tencent/digitalhuman repository, delivering a scalable multi-mode text-to-speech system with a Gradio-based user interface and integrated audio feature extraction. Using Python and leveraging deep learning frameworks, Wangyue unified TTS engine controls and streamlined external dependency management through Git submodules, which improved build stability and maintainability. The work included a comprehensive overhaul of documentation and media assets, enhancing onboarding and cross-team collaboration. By simplifying prosodic feature outputs in the Gemini client, Wangyue improved result readability and downstream processing, demonstrating a thoughtful approach to both system extensibility and developer experience within the TTS domain.
In September 2025, the Tencent/digitalhuman BatonVoice work established a solid foundation for multi-mode TTS with a scalable architecture and improved developer experience. Key platform improvements include a modular BatonVoice core architecture with a Gradio-based multi-mode UI, integrated external TTS dependencies via submodules, and a comprehensive documentation/media assets refresh that aligns resources for onboarding and cross-team usage. A simplification of prosodic feature output in the Gemini client further enhances readability and downstream processing. These efforts collectively reduce time-to-value for new TTS experiments, improve build stability, and strengthen long-term maintainability across the BatonVoice subsystem.
In September 2025, the Tencent/digitalhuman BatonVoice work established a solid foundation for multi-mode TTS with a scalable architecture and improved developer experience. Key platform improvements include a modular BatonVoice core architecture with a Gradio-based multi-mode UI, integrated external TTS dependencies via submodules, and a comprehensive documentation/media assets refresh that aligns resources for onboarding and cross-team usage. A simplification of prosodic feature output in the Gemini client further enhances readability and downstream processing. These efforts collectively reduce time-to-value for new TTS experiments, improve build stability, and strengthen long-term maintainability across the BatonVoice subsystem.

Overview of all repositories you've contributed to across your timeline