Shigeru Katagiri
Papers
1
Total Citations
3
H-Index
1
About
Shigeru Katagiri is a pioneering researcher in spoken language processing, with a career-long focus on advancing automatic speech recognition (ASR) and computational learning theories. His work bridges the gap between human-robot interaction and robust speech technologies, emphasizing the development of models that enable machines to communicate naturally through speech. Among his notable contributions is the influential paper "Research Frontier - Advanced Computational Models and Learning Theories for Spoken Language Processing" (2006), which has garnered 3 citations and serves as a key reference for integrating ASR into humanoid robots and interactive agents. Katagiri’s research explores discriminative learning paradigms, pattern recognition, and adaptive algorithms, laying the groundwork for more intelligent, context-aware speech systems. His impact extends beyond theoretical advances, shaping practical applications in robotics and human-computer interaction. Through his work, Katagiri has helped define the trajectory of spoken language technology, inspiring new generations of researchers to tackle the challenges of making machines truly conversational partners.
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Top Papers
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