Masahito Kaneyoshi

National Institute of Advanced Industrial Science and Technology

Papers

Total Citations

H-Index

About

Masahito Kaneyoshi is a researcher in mobile robot audition, focusing on how robots can hear, recognize, and map sounds in real-world environments. His major contributions center on developing the Pitch-Cluster-Maps (PCMs) method, a sound recognition approach that uses vector quantization and binarized frequency spectra to identify daily sounds in home and office settings. This work, detailed in his most cited paper (17 citations), enables robots to distinguish between different sounds using a simple, efficient database. Kaneyoshi also advanced multiple sound source mapping, allowing a robot in motion to localize and recognize sounds simultaneously, then estimate their positions via triangulation (15 citations). His research bridges auditory perception and spatial awareness, giving mobile robots the ability to navigate and interact with their acoustic surroundings. With a total of over 35 citations across his key works, Kaneyoshi’s innovations in PCMs and sound source mapping have laid foundational techniques for practical robot audition, making him a notable figure in the intersection of robotics and acoustic signal processing.