Mountain View, CA, United States of America

Hidenori Ishikawa

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 2.5

ph-index = 4

Forward Citations = 72(Granted Patents)


Location History:

  • Los Altos, CA (US) (2015 - 2018)
  • Mountain View, CA (US) (2019)
  • San Jose, CA (US) (2023)

Company Filing History:


Years Active: 2015-2025

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7 patents (USPTO):Explore Patents

Title: Hidenori Ishikawa: Innovator in Computer-Generated Visualization of Speech

Introduction

Hidenori Ishikawa is a prominent inventor based in Mountain View, CA, known for his contributions to the field of computer-generated visualization of speech. With a total of seven patents to his name, Ishikawa has made significant strides in enhancing how speech is represented visually through technology.

Latest Patents

Ishikawa's latest patents focus on methods and systems for computer-generated visualization of speech. These patents describe innovative techniques for generating graphical representations of speech segments. An example method includes generating a graphical representation of an object corresponding to a segment of speech and displaying it on a computing device's screen. The graphical representation is designed to represent the duration of the speech segment by the length of the object and the intensity by its width. Additionally, the method includes placing spaces between adjacent objects in the graphical representation, enhancing clarity and understanding.

Career Highlights

Hidenori Ishikawa has established himself as a key figure in his field, working at Somniq, Inc. His work has not only contributed to the advancement of technology but has also paved the way for new applications in speech visualization.

Collaborations

Ishikawa collaborates with talented individuals such as Rikko Sakaguchi and Takuya Nishimoto, further enriching his innovative endeavors.

Conclusion

Hidenori Ishikawa's work in computer-generated visualization of speech exemplifies the intersection of technology and communication. His patents reflect a commitment to improving how we understand and interact with speech through visual means.

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