Po-yi Tang
Papers
1
Total Citations
1
H-Index
1
About
Po-yi Tang is a researcher whose work sits at the intersection of speech technology, human-robot interaction, and developmental disorders. Their primary focus is on leveraging robotic systems to improve communication outcomes for children with autism spectrum disorder. Tang’s most notable contribution, presented at Interspeech 2024, investigates how robot-assisted speech training can alter the acoustic properties of speech prosody in children with autism. This work provides early, yet promising, evidence that socially assistive robots can serve as effective tools for eliciting measurable changes in speech patterns, such as pitch and rhythm, which are often atypical in this population. While the paper is newly published with 1 citation, its significance lies in its pioneering approach: it bridges the gap between engineering and clinical intervention, offering a data-driven pathway for personalized therapy. Tang’s research is particularly valuable for students and researchers interested in how artificial agents can be designed to support human social development, and it lays a foundation for future studies on long-term, robot-mediated speech therapy.
Research Focus
Key Achievements
Top Papers
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