Netanya, Israel

Lev Finkelstein

USPTO Granted Patents = 32 

Average Co-Inventor Count = 2.9

ph-index = 12

Forward Citations = 331(Granted Patents)


Location History:

  • Haifa, IL (2015 - 2016)
  • Netanya, IL (2002 - 2018)
  • Mountain View, CA (US) (2022)

Company Filing History:


Years Active: 2002-2022

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32 patents (USPTO):

Title: Lev Finkelstein - Innovator in Speech Technology

Introduction

Lev Finkelstein, based in Netanya, Israel, is a notable inventor with an impressive portfolio of 32 patents. His work primarily focuses on advanced speech technology, making significant contributions to the field of text-to-speech synthesis and natural language processing.

Latest Patents

Among his latest innovations is a patent for a two-level speech prosody transfer method. This method involves synthesizing expressive speech with intended prosody and target voice characteristics, enhancing the emotional tone delivered by text-to-speech models. Another noteworthy patent revolves around generating weighted answer terms for scoring answer passages, utilizing computer programs to improve the efficacy of information retrieval based on question phrases found within resources.

Career Highlights

Lev Finkelstein has had a remarkable career, holding significant positions at prominent technology companies, including Google Inc. and Intel Corporation. His expertise has contributed to the development of cutting-edge technologies that revolutionize the way in which machines understand and generate human speech.

Collaborations

Throughout his career, Lev has collaborated with esteemed colleagues such as Efraim Rotem and Aviad Cohen. These partnerships have fostered an innovative environment that has led to the successful development of various speech and language processing technologies.

Conclusion

In summary, Lev Finkelstein stands out as a prominent inventor in the domain of speech technology. With his extensive background and numerous patents, he continues to drive innovations that push the boundaries of how we interact with machines through language.

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