Zhuoming Chen
Papers
1
Total Citations
1
H-Index
1
About
Zhuoming Chen is a researcher at the forefront of speech technology and human-robot interaction, with a particular focus on supporting neurodiverse populations. Their key research areas include speech prosody analysis, assistive robotics, and the application of acoustic signal processing in clinical and educational settings. Chen’s most notable contribution is the pioneering work presented at Interspeech 2024, "Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training," which investigates how robot-mediated interventions can measurably improve prosodic features in children with autism spectrum disorder. This study, though recently published, has already garnered early citations, signaling its growing impact in the interdisciplinary fields of speech science and assistive technology. By combining acoustic analysis with human-robot interaction, Chen’s work offers a novel, data-driven pathway to enhance communication skills in children with autism, bridging the gap between engineering innovation and real-world therapeutic application. Their research holds promise for developing more effective, engaging, and personalized speech training tools, making a meaningful difference in the lives of individuals with communication challenges.
Research Focus
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Top Papers
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