Takatoshi Jitsuhiro
Papers
2
Total Citations
55
H-Index
2
About
Takatoshi Jitsuhiro is a leading researcher in automatic speech recognition (ASR) for human-robot interaction, specializing in robust speech processing for communication robots in real-world, noisy environments. His major contributions center on developing ASR systems that maintain high accuracy despite challenging acoustic conditions and variable speaker demographics—particularly for both adult and child voices. His most influential work, "A Robust Speech Recognition System for Communication Robots in Noisy Environments" (2008, 34 citations), and its predecessor (2006, 21 citations), demonstrate his pioneering approach to integrating multiple noise-robustness modules. These systems significantly expand the practical application range of communication robots by enabling reliable speech recognition in everyday settings, from homes to public spaces. Jitsuhiro’s research addresses a critical bottleneck in robotics: the need for ASR that works seamlessly across ages and noise levels. His work has been foundational for subsequent advances in human-robot interaction, influencing both academic research and commercial robot development. By bridging the gap between laboratory conditions and real-world deployment, Jitsuhiro has helped make communication robots more accessible and effective for diverse users.
Research Focus
Key Achievements
Top Papers
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