Herzlia, Israel

Adoram Erell


Average Co-Inventor Count = 1.3

ph-index = 2

Forward Citations = 225(Granted Patents)


Location History:

  • Herzelia, IL (1998)
  • Herzlia, IL (2000)

Company Filing History:


Years Active: 1998-2000

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2 patents (USPTO):Explore Patents

Title: Adoram Erell: Innovator in Keyword and Pattern Recognition Technologies

Introduction

Adoram Erell is a notable inventor based in Herzlia, Israel. He has made significant contributions to the fields of keyword recognition and pattern recognition systems. With a total of two patents to his name, Erell's work focuses on enhancing the accuracy and efficiency of recognition technologies.

Latest Patents

Erell's latest patents include a "Keyword Recognition System and Method" and a "Pattern Recognition System and Method." The keyword recognition system is designed for speaker-dependent, dynamic time warping (DTW) recognition systems. It utilizes all trained word templates to determine if an utterance qualifies as a keyword. A significant match to the keyword template is indicated by a keyword score, which must surpass the scores of vocabulary word templates. The pattern recognition system addresses the challenges of noisy input signals. It involves providing a noisy test feature set, reference feature sets from quiet environments, and a background noise feature set. The method adapts reference templates and determines match scores between the adapted templates and the test feature set.

Career Highlights

Erell is currently employed at Dspc Israel, Ltd., where he continues to develop innovative solutions in the field of recognition technologies. His work has been instrumental in advancing the capabilities of systems that rely on accurate speech and pattern recognition.

Collaborations

Erell collaborates with David Burshtein, contributing to the development of cutting-edge technologies in their field.

Conclusion

Adoram Erell's contributions to keyword and pattern recognition systems highlight his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving the accuracy of recognition systems, making a lasting impact in the industry.

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