Company Filing History:
Years Active: 2009
Title: Innovations by Inventor Takeshi Koya
Introduction
Takeshi Koya is a notable inventor based in Fukuoka, Japan. He has made significant contributions to the field of signal processing, particularly in methods for recovering target speech from mixed signals. With two patents to his name, Koya's work demonstrates a commitment to advancing technology in communication systems.
Latest Patents
Koya's latest patents include a method for recovering target speech based on amplitude distributions of separated signals. This innovative method involves several steps, including receiving mixed signals from a sound source and noise, performing Fourier transforms, and applying Independent Component Analysis to separate the signals. The process culminates in recovering the target speech by analyzing the amplitude distribution of the split spectra.
Another significant patent by Koya is a method for recovering target speech based on speech segment detection under stationary noise. This method focuses on extracting signal components that fall within a determined speech segment, thereby minimizing residual noise. The steps include receiving target speech, applying Independent Component Analysis, and detecting speech segments to generate a recovered spectrum group of the target speech.
Career Highlights
Koya is currently associated with the Kitakyushu Foundation for the Advancement of Industry, Science and Technology. His work at this institution allows him to collaborate with other experts in the field and contribute to advancements in technology.
Collaborations
Koya has worked alongside notable colleagues such as Hiromu Gotanda and Keiichi Kaneda. Their collaborative efforts have further enriched the research and development of innovative solutions in signal processing.
Conclusion
Takeshi Koya's contributions to the field of signal processing through his innovative patents highlight his expertise and dedication to advancing communication technology. His work continues to influence the way target speech is recovered from mixed signals, showcasing the importance of innovation in this area.