Tokyo, Japan

Yoich Takebayashi


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 1998

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1 patent (USPTO):Explore Patents

Title: Yoich Takebayashi: Innovator in Time Series Signal Recognition

Introduction

Yoich Takebayashi is a prominent inventor based in Tokyo, Japan. He is known for his significant contributions to the field of signal recognition technology. His innovative approach has led to advancements that enhance the accuracy of speech recognition in challenging environments.

Latest Patents

Takebayashi holds a patent for a "Method and apparatus for time series signal recognition with signal." This invention focuses on achieving a high recognition rate for speech data, even in noisy environments with low signal-to-noise ratios. The method involves recognizing time series signals by extracting multiple candidate feature vectors without fixing boundaries for individual signals. Similarity values are calculated for these feature vectors against reference patterns stored in a recognition dictionary. The process includes learning new reference patterns by acquiring actual background noise and mixing it with noiseless signal patterns for effective learning.

Career Highlights

Takebayashi is associated with Kabushiki Kaisha Toshiba, a leading technology company. His work has been instrumental in developing advanced signal processing techniques that are applicable in various fields, including telecommunications and audio processing. His innovative methods have paved the way for improved speech recognition systems.

Collaborations

Throughout his career, Takebayashi has collaborated with notable colleagues, including Hiroshi Kanazawa and Hiroyuki Chimoto. These collaborations have fostered a creative environment that encourages the exchange of ideas and technological advancements.

Conclusion

Yoich Takebayashi's contributions to time series signal recognition exemplify the impact of innovation in technology. His work continues to influence the development of more effective communication systems in noisy environments.

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