Natick, MA, United States of America

Igor Zlokarnik



Average Co-Inventor Count = 1.6

ph-index = 3

Forward Citations = 291(Granted Patents)


Location History:

  • Watertown, MA (US) (2003)
  • Natick, MA (US) (2010 - 2014)

Company Filing History:


Years Active: 2003-2014

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5 patents (USPTO):Explore Patents

Title: Igor Zlokarnik: Innovator in Speech Recognition Technology

Introduction

Igor Zlokarnik is a notable inventor based in Natick, MA (US), recognized for his contributions to the field of speech recognition technology. With a total of five patents to his name, Zlokarnik has made significant advancements that enhance the way machines understand and process human speech.

Latest Patents

Among his latest patents is the "Prosodic Mimic Method and Apparatus." This innovative method and apparatus synthesize audible phrases by capturing spoken utterances and extracting prosodic information. The prosodic parameters are then applied to a synthesized nominal word, resulting in a prosodic mimic word that corresponds to the original spoken utterance. Another significant patent is "Speech Recognition Using Channel Verification." This method improves automatic speech recognition by determining scores that represent the certainty of an input signal being associated with states of a speech recognition model. It processes the input signal based on the computed difference value between the input and an average signal.

Career Highlights

Zlokarnik has worked with prominent companies in the technology sector, including Voice Signal Technologies, Inc. and Nuance Communications, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in speech recognition.

Collaborations

Throughout his career, Zlokarnik has collaborated with talented individuals such as Daniel Lawrence Roth and Jordan Cohen. These partnerships have contributed to the successful development of his patented technologies.

Conclusion

Igor Zlokarnik's work in speech recognition technology showcases his innovative spirit and dedication to enhancing human-computer interaction. His patents reflect a deep understanding of the complexities of speech and the potential for machines to better understand human communication.

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