Bruce Xiao Wang
Papers
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Total Citations
1
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About
Bruce Xiao Wang is a researcher at the intersection of speech technology, human-robot interaction, and developmental disorders. His work focuses on leveraging robotic systems to improve communication outcomes for children with autism spectrum disorder. Wang’s most-cited study, “Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training,” presented at Interspeech 2024, demonstrates his pioneering approach to using social robots as therapeutic tools. The research quantifies measurable acoustic improvements in prosody—such as pitch variation and rhythm—following structured robot-led interventions, offering a data-driven path toward scalable, engaging speech therapy. While his citation count is still growing, this work has already been recognized at a top venue in speech and language processing, signaling its potential to influence both assistive technology and clinical practice. Wang’s contributions are particularly notable for bridging engineering and behavioral science, providing empirical evidence that robots can serve as patient, non-judgmental trainers for children with social communication challenges. His ongoing research promises to refine these methods, making speech therapy more accessible and effective for neurodiverse populations.
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