Shu-Ruei Chang

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About

Shu-Ruei Chang is a pioneering researcher in human-robot interaction (HRI), with a focused expertise in multimodal communication systems that enable more natural and intuitive exchanges between humans and machines. Her work centers on integrating speech synthesis, speech recognition, and visual cues—particularly lip synchronization and gesture recognition—to create robots that can both understand and respond to human partners effectively. In her highly cited 2011 paper on speech synthesis and recognition with lip synchronization (16 citations), Chang established foundational methods for making robotic speech appear more lifelike and intelligible, directly addressing a core challenge in service robotics. Her complementary research on tracking with pointing gesture recognition (7 citations) further advanced the field by enabling robots to interpret non-verbal cues, a critical step for collaborative tasks. Chang’s notable achievement includes developing a synchronization framework that aligns speech with mouth shape movements using Microsoft’s SAPI, demonstrating practical applications for real-world service robots. With a career dedicated to bridging the gap between human communication and robotic perception, her contributions continue to influence the design of socially aware and responsive robotic systems.