Patents by Inventor Tejas Shastry
Tejas Shastry 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).
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Publication number: 20230223038Abstract: 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: ApplicationFiled: March 8, 2023Publication date: July 13, 2023Applicant: TRULEO, INC.Inventors: Tejas SHASTRY, Svyatoslav VERGUN, Colin BROCHTRUP, Matthew GOLDEY
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Publication number: 20230114591Abstract: 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 genType: ApplicationFiled: November 30, 2022Publication date: April 13, 2023Applicant: GREEN KEY TECHNOLOGIES, INC.Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
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Patent number: 11545152Abstract: 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 genType: GrantFiled: January 20, 2021Date of Patent: January 3, 2023Assignee: GREEN KEY TECHNOLOGIES, INC.Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
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Publication number: 20220189501Abstract: 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: ApplicationFiled: December 16, 2021Publication date: June 16, 2022Applicant: Truleo, Inc.Inventors: Tejas SHASTRY, Svyatoslav VERGUN, Colin BROCHTRUP, Matthew GOLDEY
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Publication number: 20220092268Abstract: Systems and methods herein provide for establishing a subjective viewpoint in text. In one embodiment, a method includes identifying intents and metrics in each of a plurality of texts, calculating a sentiment score for each text based on the identified intents and metrics of each text, and calculating a disfluency score for each text to weight the sentiment score of each text. The method also includes training the machine learning model with the texts, and processing a subsequent text through the trained machine learning model to determine a sentiment score of the subsequent text.Type: ApplicationFiled: September 22, 2021Publication date: March 24, 2022Applicant: Green Key Technologies, Inc.Inventors: Anthony TASSONE, Tejas SHASTRY
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Publication number: 20220092693Abstract: Systems and methods herein provide for understanding the context of multiple conversation events and accurately linking them together. Such may allow for fewer financial transaction opportunities to be missed and enable sell side institutions to book more trades. In one embodiment, a method of classifying financial transaction messages with a trained machine learning model includes identifying entities in a financial transaction message, identifying subsequent passages relating to the financial transaction message, and classifying intent as valid or invalid in the financial transaction message. The method also includes linking events within a specific thread by sequentially processing the passages of the financial transaction message.Type: ApplicationFiled: September 22, 2021Publication date: March 24, 2022Applicant: Green Key Technologies, Inc.Inventors: Amy ZUEND, Tejas SHASTRY
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Publication number: 20210375266Abstract: 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 segmType: ApplicationFiled: August 9, 2021Publication date: December 2, 2021Inventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun
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Patent number: 11114088Abstract: 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 segmType: GrantFiled: April 13, 2018Date of Patent: September 7, 2021Assignee: Green Key Technologies, Inc.Inventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun
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Publication number: 20210142805Abstract: 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 genType: ApplicationFiled: January 20, 2021Publication date: May 13, 2021Applicant: GREEN KEY TECHNOLOGIES, INC.Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
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Patent number: 10930287Abstract: 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 geType: GrantFiled: December 3, 2018Date of Patent: February 23, 2021Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
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Patent number: 10720560Abstract: A transverse thermoelectric includes a first array of hole-conducting nanowires and a second array of electron-conducting nanowires positioned orthogonal to the first array of nanowires. A substrate provides structure to the first array of nanowires and the second array of nanowires.Type: GrantFiled: September 10, 2015Date of Patent: July 21, 2020Assignee: Northwestern UniversityInventors: Matthew Grayson, Mark C Hersam, Chuanle Zhou, Yang Tang, Tejas Shastry
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Publication number: 20190371335Abstract: 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 geType: ApplicationFiled: December 3, 2018Publication date: December 5, 2019Inventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
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Patent number: 10147428Abstract: 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 geType: GrantFiled: May 30, 2018Date of Patent: December 4, 2018Assignee: Green Key Technologies LLCInventors: Tejas Shastry, Matthew Goldey, Svyat Vergun
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Publication number: 20180301143Abstract: 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 segmType: ApplicationFiled: April 13, 2018Publication date: October 18, 2018Inventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun
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Patent number: 9741337Abstract: 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 segmType: GrantFiled: April 3, 2017Date of Patent: August 22, 2017Assignee: Green Key Technologies LLCInventors: Tejas Shastry, Anthony Tassone, Patrick Kuca, Svyatoslav Vergun
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Publication number: 20160079509Abstract: A transverse thermoelectric includes a first array of hole-conducting nanowires and a second array of electron-conducting nanowires positioned orthogonal to the first array of nanowires. A substrate provides structure to the first array of nanowires and the second array of nanowires.Type: ApplicationFiled: September 10, 2015Publication date: March 17, 2016Inventors: Matthew Grayson, Mark C. Hersam, Chuanle Zhou, Yang Tang, Tejas Shastry
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Patent number: D766820Type: GrantFiled: May 21, 2015Date of Patent: September 20, 2016Assignee: STRYDE TECHNOLOGIES, INC.Inventors: Michael Geier, Michael Mannhard, Tejas Shastry, Alex Smith
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Patent number: D778235Type: GrantFiled: May 25, 2016Date of Patent: February 7, 2017Assignee: STYRDE TECHNOLOGIES, INC.Inventors: Michael Geier, Michael Mannhard, Tejas Shastry, Alex Smith