Shozo Makino

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About

Shozo Makino is a pioneering researcher in the field of human-robot interaction, with a particular focus on speech recognition and dialog systems for autonomous robots. His most influential work addresses the critical challenge of internal noise suppression for small robots, where he developed two novel methods based on spectral subtraction to enable reliable speech recognition despite the robot's own operational noise—a paper that has garnered 41 citations and remains foundational in the field. Makino also made significant contributions to spoken dialog systems, proposing an innovative approach that automatically generates recognition grammar from semantic frames, eliminating the need for manually crafted grammar descriptions and scripts. This work, cited 8 times, greatly simplified the development of conversational interfaces for mobile robots. Notably, Makino led the development of IRIS (Interactive, Robust and Intelligent Patient Care System), an intelligent service robot designed for hospital sickrooms. This comprehensive system integrated speaker direction identification, dialog management, and face recognition, demonstrating his ability to combine multiple sensing modalities into a practical, real-world application. Makino's research has been instrumental in advancing the robustness and usability of speech-based interfaces for service robots, directly impacting the fields of assistive robotics and human-robot communication.