This inventor holds 1 USPTO granted patent. Top assignee: Ntt Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Kunio Kashino: Innovator in Learning Technologies
Introduction
Kunio Kashino is a prominent inventor based in Musashino, Japan. He has made significant contributions to the field of learning technologies, particularly through his innovative patent that focuses on the conversion of acoustic time series into feature data. His work is instrumental in advancing the capabilities of learning devices.
Latest Patents
Kunio Kashino holds a patent for a learning apparatus, conversion apparatus, learning method, and program. This invention provides a learning device that includes a neural network designed to convert an acoustic time series, which represents sound, into feature data expressed in a predetermined format required by downstream tasks. The device features an update unit that enhances the neural network based on the execution results of these tasks. The neural network comprises a feature extraction unit that transforms the input acoustic time series into an intermediate feature tensor, and an intermediate network that processes this tensor into a second-order tensor, ultimately acquiring a one-dimensional vector that indicates statistics in a time axis direction.
Career Highlights
Kunio Kashino is associated with NTT Corporation, where he has been able to apply his expertise in developing advanced learning technologies. His innovative approach has led to the creation of a patent that showcases his ability to integrate neural networks with acoustic data processing.
Collaborations
Throughout his career, Kunio has collaborated with notable colleagues, including Noboru Harada and Yasunori Oishi. These collaborations have contributed to the development of cutting-edge technologies in the field of learning devices.
Conclusion
Kunio Kashino's work exemplifies the intersection of technology and education, showcasing how innovations in learning apparatus can enhance the way we process and understand sound. His contributions continue to influence the field and pave the way for future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile