Speaker-Centric Speech Intelligence
Speaker representation learning together with target-speaker extraction, diarization, and personalized recognition, covering both research prototypes and production-ready toolkits.
Pattern Recognition Laboratory
School of Intelligence Science and Technology
Nanjing University
The Speech and Audio Intelligence Lab (SAIL) is part of PRLab (模式识别实验室), School of Intelligence Science and Technology, Nanjing University (Suzhou Campus).
Led by Dr. Shuai Wang, a Tenure-Track Associate Professor, the group develops intelligent technologies for speech, audio, and music, with an emphasis on impactful research and real-world applications.
Our research spans speaker-centric speech intelligence, speech and audio generation, speech language models, embodied auditory intelligence, and speech technologies for health.
Speaker representation learning together with target-speaker extraction, diarization, and personalized recognition, covering both research prototypes and production-ready toolkits.
Speech synthesis, voice conversion, controllable audio generation, and high-quality music generation using autoregressive and diffusion-based models.
Understanding and evaluating end-to-end speech language models, with an emphasis on speaker awareness, multi-speaker interaction, full-duplex dialogue, and speech agents.
Auditory perception for embodied agents, spanning spatial listening, audio-visual scene understanding, and on-device audio processing in distributed environments.
Speech, audio, and neural-signal modeling for health assessment, clinical speech restoration, neurological rehabilitation, and assistive communication.
We welcome students who are interested in this field and hope to make a real impact in speech and audio intelligence. / 欢迎对本方向感兴趣、希望在这一领域大展身手的同学联系申请。
Current openings include 2027 Fall Ph.D. and Master's positions, undergraduate internships, and year-round Research Assistant positions. Research assistants may work from Nanjing University Suzhou Campus, Shenzhen Loop Area Institute, CUHK-Shenzhen, or remotely.
Email shuaiwang@nju.edu.cn with your CV, transcripts, and a short statement of research interests.
Suggested subject: Application Type – Name – University – Year. NJU students are also welcome to visit Room 536, West Wing, Nanyong Building.