Patents by Inventor Svyat Vergun

Svyat Vergun has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Computing technologies for benchmarking
    Patent number: 11869015
    Abstract: Computing technologies for benchmarking, which may be based on a k-Nearest Neighbor (kNN) algorithm or another suitable machine learning algorithm, solve a cold start problem for a recommender engine employing a collaborative filtering algorithm when training data of user preferences or actual data of user actions is not available. For example, the cold start problem's unavailability of labeled data to train and develop a supervised model may be addressed by breaking the cold start problem down into two parts. The first part includes a KNN (or another suitable algorithm) model to cluster profiles based on a set of variables and this implementation of the KNN model is unsupervised, since there is no labeled data available to train the KNN model. The second part includes a prioritization algorithm that leverages certain outputs from the KNN model and neighbors to prioritize benchmarks.
    Type: Grant
    Filed: December 9, 2022
    Date of Patent: January 9, 2024
    Assignee: Northern Trust Corporation
    Inventors: Steven Fradkin, Lucino Sotelo, Deepak Konale, Matt Moynihan, Margaret Shugrue, Purva Sule, Melissa Beardsley, Svyat Vergun, Dhruv Baronia, Rasheed Hameed, Vijay Luthra, Scott Gibbs, Peter Ferris, Shaun Malott, Linda Flack, Larry Wang
  • COMPUTER SYSTEMS EXHIBITING IMPROVED COMPUTER SPEED AND TRANSCRIPTION ACCURACY OF AUTOMATIC SPEECH TRANSCRIPTION (AST) BASED ON A MULTIPLE SPEECH-TO-TEXT ENGINES AND METHODS OF USE THEREOF
    Publication number: 20230114591
    Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription and gen
    Type: Application
    Filed: November 30, 2022
    Publication date: April 13, 2023
    Applicant: GREEN KEY TECHNOLOGIES, INC.
    Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
  • Computer systems exhibiting improved computer speed and transcription accuracy of automatic speech transcription (AST) based on a multiple speech-to-text engines and methods of use thereof
    Patent number: 11545152
    Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription and gen
    Type: Grant
    Filed: January 20, 2021
    Date of Patent: January 3, 2023
    Assignee: GREEN KEY TECHNOLOGIES, INC.
    Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
  • COMPUTER SYSTEMS EXHIBITING IMPROVED COMPUTER SPEED AND TRANSCRIPTION ACCURACY OF AUTOMATIC SPEECH TRANSCRIPTION (AST) BASED ON A MULTIPLE SPEECH-TO-TEXT ENGINES AND METHODS OF USE THEREOF
    Publication number: 20210142805
    Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription and gen
    Type: Application
    Filed: January 20, 2021
    Publication date: May 13, 2021
    Applicant: GREEN KEY TECHNOLOGIES, INC.
    Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
  • Computer systems exhibiting improved computer speed and transcription accuracy of automatic speech transcription (AST) based on a multiple speech-to-text engines and methods of use thereof
    Patent number: 10930287
    Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription; and ge
    Type: Grant
    Filed: December 3, 2018
    Date of Patent: February 23, 2021
    Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
  • COMPUTER SYSTEMS EXHIBITING IMPROVED COMPUTER SPEED AND TRANSCRIPTION ACCURACY OF AUTOMATIC SPEECH TRANSCRIPTION (AST) BASED ON A MULTIPLE SPEECH-TO-TEXT ENGINES AND METHODS OF USE THEREOF
    Publication number: 20190371335
    Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription; and ge
    Type: Application
    Filed: December 3, 2018
    Publication date: December 5, 2019
    Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
  • Computer systems exhibiting improved computer speed and transcription accuracy of automatic speech transcription (AST) based on a multiple speech-to-text engines and methods of use thereof
    Patent number: 10147428
    Abstract: In some embodiments, an exemplary inventive system for improving computer speed and accuracy of automatic speech transcription includes at least components of: a computer processor configured to perform: generating a recognition model specification for a plurality of distinct speech-to-text transcription engines; where each distinct speech-to-text transcription engine corresponds to a respective distinct speech recognition model; receiving at least one audio recording representing a speech of a person; segmenting the audio recording into a plurality of audio segments; determining a respective distinct speech-to-text transcription engine to transcribe a respective audio segment; receiving, from the respective transcription engine, a hypothesis for the respective audio segment; accepting the hypothesis to remove a need to submit the respective audio segment to another distinct speech-to-text transcription engine, resulting in the improved computer speed and the accuracy of automatic speech transcription; and ge
    Type: Grant
    Filed: May 30, 2018
    Date of Patent: December 4, 2018
    Assignee: Green Key Technologies LLC
    Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun