Takanobu Nishiura
Papers
8
Total Citations
86
H-Index
5
About
Takanobu Nishiura is a leading researcher in acoustic signal processing and human-robot interaction, with a focus on enabling robust speech communication in noisy, real-world environments. His work spans key areas including microphone array design, sound source localization, environmental sound identification, and adaptive beamforming. Nishiura’s most notable contribution is the development of an optical laser microphone for domestic service robots, which dramatically improves speech recognition accuracy in extremely noisy settings—a breakthrough cited 27 times. He has also pioneered semiotically adaptive cognition for remotely-operated service robots, advancing partial autonomy in the “new normal” society, and introduced talker tracking displays using moving microphone arrays to overcome reverberation challenges. His early work on hidden Markov models for environmental sound source identification laid the groundwork for robust speech recognition in cluttered acoustic scenes. With over 80 citations across his top papers, Nishiura’s research directly addresses the practical hurdles of deploying robots in homes, offices, and hospitals, making him a key figure in the evolution of symbiotic human-robot societies.
Research Focus
Key Achievements
Top Papers
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