Kawasaki, Japan

Shouji Harada

USPTO Granted Patents = 12 

Average Co-Inventor Count = 1.4

ph-index = 5

Forward Citations = 371(Granted Patents)


Company Filing History:


Years Active: 2010-2022

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12 patents (USPTO):Explore Patents

Title: Shouji Harada: Innovator in Voice Recognition Technology

Introduction

Shouji Harada is a prominent inventor based in Kawasaki, Japan. He has made significant contributions to the field of information processing and voice recognition technology. With a total of 12 patents to his name, Harada continues to push the boundaries of innovation in his field.

Latest Patents

Among his latest patents, Harada has developed an information processing apparatus and learning method. This apparatus includes a memory and a processor that generates phoneme string information based on voice recognition results. It is designed to learn parameters of a network to improve the accuracy of conversation situation recognition. Another notable patent is a voice recognition method and apparatus that detects vocal sections in audio signals. This method identifies words expressed by vocal sounds and selects them based on signal characteristics.

Career Highlights

Shouji Harada is currently employed at Fujitsu Corporation, where he applies his expertise in voice recognition technology. His work has been instrumental in advancing the capabilities of voice processing systems. Harada's innovative approaches have garnered attention in the tech industry, showcasing his commitment to enhancing user interaction through voice recognition.

Collaborations

Harada has collaborated with notable colleagues, including Nobuyuki Washio and Akira Kamano. These partnerships have contributed to the development of cutting-edge technologies in the field of information processing.

Conclusion

Shouji Harada's contributions to voice recognition technology exemplify his dedication to innovation. His patents reflect a deep understanding of information processing, making him a key figure in the industry. Harada's work continues to influence the future of voice recognition systems.

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