Patents by Inventor Matthew Goldey

Matthew Goldey 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).

  • AUDIO ANALYSIS OF BODY WORN CAMERA
    Publication number: 20230223038
    Abstract: Machine natural language processing to analyze language in apparatus, systems, and methods of using are provided. Audio from camera footage can be transcribed in one exemplary method includes extracting at least one audio segment from a body camera video track, detecting voice activity to identify starting and ending timestamps of voice, transcribing the at least one audio segment to identify and separate audio of at least a first speaker, and scoring the audio of the first speaker to identify interactions of interest. Audio could be analyzed and scored to record verbal performance, respectfulness, wellness, etc. and speakers from the audio can be detected.
    Type: Application
    Filed: March 8, 2023
    Publication date: July 13, 2023
    Applicant: TRULEO, INC.
    Inventors: Tejas SHASTRY, Svyatoslav VERGUN, Colin BROCHTRUP, Matthew GOLDEY
  • 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
  • AUDIO ANALYSIS OF BODY WORN CAMERA
    Publication number: 20220189501
    Abstract: Machine natural language processing to analyze language in apparatus, systems, and methods of using are provided. Audio from camera footage can be transcribed in one exemplary method includes extracting at least one audio segment from a body camera video track, detecting voice activity to identify starting and ending timestamps of voice, transcribing the at least one audio segment to identify and separate audio of at least a first speaker, and scoring the audio of the first speaker to identify interactions of interest. Audio could be analyzed and scored to record verbal performance, respectfulness, wellness, etc. and speakers from the audio can be detected.
    Type: Application
    Filed: December 16, 2021
    Publication date: June 16, 2022
    Applicant: Truleo, Inc.
    Inventors: Tejas SHASTRY, Svyatoslav VERGUN, Colin BROCHTRUP, Matthew GOLDEY
  • 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