Patents by Inventor Patrick Kuca

Patrick Kuca 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).

  • ADAPTIVE SELF-TRAINED COMPUTER ENGINES WITH ASSOCIATED DATABASES AND METHODS OF USE THEREOF
    Publication number: 20210375266
    Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: an adaptive self-trained computer engine programmed, during a training stage, to electronically receive an initial speech audio data generated by a microphone of a computing device; dynamically segment the initial speech audio data and the corresponding initial text into a plurality of user phonemes; dynamically associate a plurality of first timestamps with the plurality of user-specific subject-specific phonemes; and, during a transcription stage, electronically receive to-be-transcribed speech audio data of at least one user; dynamically split the to-be transcribed speech audio data into a plurality of to-be-transcribed speech audio segments; dynamically assigning each timestamped to-be-transcribed speech audio segment to a particular core of the multi-core processor; and dynamically transcribing, in parallel, the plurality of timestamped to-be-transcribed speech audio segm
    Type: Application
    Filed: August 9, 2021
    Publication date: December 2, 2021
    Inventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun
  • Adaptive self-trained computer engines with associated databases and methods of use thereof
    Patent number: 11114088
    Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: an adaptive self-trained computer engine programmed, during a training stage, to electronically receive an initial speech audio data generated by a microphone of a computing device; dynamically segment the initial speech audio data and the corresponding initial text into a plurality of user phonemes; dynamically associate a plurality of first timestamps with the plurality of user-specific subject-specific phonemes; and, during a transcription stage, electronically receive to-be-transcribed speech audio data of at least one user; dynamically split the to-be transcribed speech audio data into a plurality of to-be-transcribed speech audio segments; dynamically assigning each timestamped to-be-transcribed speech audio segment to a particular core of the multi-core processor; and dynamically transcribing, in parallel, the plurality of timestamped to-be-transcribed speech audio segm
    Type: Grant
    Filed: April 13, 2018
    Date of Patent: September 7, 2021
    Assignee: Green Key Technologies, Inc.
    Inventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun
  • ADAPTIVE SELF-TRAINED COMPUTER ENGINES WITH ASSOCIATED DATABASES AND METHODS OF USE THEREOF
    Publication number: 20180301143
    Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: an adaptive self-trained computer engine programmed, during a training stage, to electronically receive an initial speech audio data generated by a microphone of a computing device; dynamically segment the initial speech audio data and the corresponding initial text into a plurality of user phonemes; dynamically associate a plurality of first timestamps with the plurality of user-specific subject-specific phonemes; and, during a transcription stage, electronically receive to-be-transcribed speech audio data of at least one user; dynamically split the to-be transcribed speech audio data into a plurality of to-be-transcribed speech audio segments; dynamically assigning each timestamped to-be-transcribed speech audio segment to a particular core of the multi-core processor; and dynamically transcribing, in parallel, the plurality of timestamped to-be-transcribed speech audio segm
    Type: Application
    Filed: April 13, 2018
    Publication date: October 18, 2018
    Inventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun
  • Adaptive self-trained computer engines with associated databases and methods of use thereof
    Patent number: 9741337
    Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: an adaptive self-trained computer engine programmed, during a training stage, to electronically receive an initial speech audio data generated by a microphone of a computing device; dynamically segment the initial speech audio data and the corresponding initial text into a plurality of user phonemes; dynamically associate a plurality of first timestamps with the plurality of user-specific subject-specific phonemes; and, during a transcription stage, electronically receive to-be-transcribed speech audio data of at least one user; dynamically split the to-be transcribed speech audio data into a plurality of to-be-transcribed speech audio segments; dynamically assigning each timestamped to-be-transcribed speech audio segment to a particular core of the multi-core processor; and dynamically transcribing, in parallel, the plurality of timestamped to-be-transcribed speech audio segm
    Type: Grant
    Filed: April 3, 2017
    Date of Patent: August 22, 2017
    Assignee: Green Key Technologies LLC
    Inventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun