Kiyohiro Shikano
Papers
18
Total Citations
212
H-Index
8
About
Kiyohiro Shikano is a pioneering researcher in robot audition and human-robot interaction, whose work has fundamentally shaped how robots hear, understand, and respond to human speech in real-world environments. His core research spans speech recognition, blind source separation, and hands-free dialogue systems for robots. Shikano's major contributions include developing the ASKA receptionist robot (35 citations), which demonstrated practical human-robot communication through speech dialogue, gesture, and head movement. He pioneered two-stage blind source separation combining ICA and binary masking (32 citations), enabling robots to isolate speech in noisy environments. His work on blind spatial subtraction arrays and semi-blind noise suppression has been crucial for making hands-free robot dialogue systems robust against internal and external noise. With over 200 citations across his most influential papers, Shikano has established the theoretical and practical foundations for robots that can hear, understand, and talk in challenging acoustic conditions. His research has directly enabled the next generation of service robots capable of natural, noise-robust communication with humans in everyday settings.
Research Focus
Key Achievements
Top Papers
- 1ASKA: receptionist robot with speech dialogue system35 citations · 2003
- 2Robots that can hear, understand and talk35 citations · 2004
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