Patents by Inventor Sudheer Tumu

Sudheer Tumu 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).

  • Patent number: 12340804
    Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.
    Type: Grant
    Filed: May 3, 2024
    Date of Patent: June 24, 2025
    Assignee: Suki AI, Inc.
    Inventors: Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota
  • Patent number: 12314656
    Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.
    Type: Grant
    Filed: March 15, 2024
    Date of Patent: May 27, 2025
    Assignee: Suki AI, Inc.
    Inventors: Nithyanand Kota, Yashas Rao, Hao Ran Raymond Lin, Maneesh Dewan, Arunan Rabindran, Jatin Chhugani, Sudheer Tumu
  • Publication number: 20250166622
    Abstract: Systems and methods for end-to-end speech recognition to provide accurate transcriptions and reduced latency are disclosed. Exemplary implementations may: receive audio information including audio signals; effectuate an acoustic model to determine one or more phonemes based on the audio signals, wherein the acoustic model and a decoder is stored in electronic storage; obtain the corresponding one or more statistical representations for the one or more phonemes as defined by the acoustic model; and effectuate the decoder to determine a first output transcript for the audio information based on the statistical representations.
    Type: Application
    Filed: August 24, 2021
    Publication date: May 22, 2025
    Inventors: Jatin Chhugani, Ganesh Satish Mallya, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota, Maneesh Dewan
  • Patent number: 12141503
    Abstract: Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.
    Type: Grant
    Filed: November 28, 2023
    Date of Patent: November 12, 2024
    Assignee: Suki AI, Inc.
    Inventors: Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota, Maneesh Dewan
  • Patent number: 11978451
    Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.
    Type: Grant
    Filed: November 17, 2022
    Date of Patent: May 7, 2024
    Assignee: Suki AI, Inc.
    Inventors: Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota
  • Patent number: 11934769
    Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.
    Type: Grant
    Filed: April 13, 2023
    Date of Patent: March 19, 2024
    Assignee: Suki AI, Inc.
    Inventors: Nithyanand Kota, Yashas Rao, Hao Ran Raymond Lin, Maneesh Dewan, Arunan Rabindran, Jatin Chhugani, Sudheer Tumu
  • Patent number: 11853652
    Abstract: Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.
    Type: Grant
    Filed: March 15, 2023
    Date of Patent: December 26, 2023
    Assignee: Suki AI, Inc.
    Inventors: Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota, Maneesh Dewan
  • Publication number: 20230252227
    Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.
    Type: Application
    Filed: April 13, 2023
    Publication date: August 10, 2023
    Inventors: Nithyanand Kota, Yashas Rao, Hao Ran Raymond Lin, Maneesh Dewan, Arunan Rabindran, Jatin Chhugani, Sudheer Tumu
  • Publication number: 20230221921
    Abstract: Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.
    Type: Application
    Filed: March 15, 2023
    Publication date: July 13, 2023
    Inventors: Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota, Maneesh Dewan
  • Patent number: 11630943
    Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.
    Type: Grant
    Filed: July 27, 2022
    Date of Patent: April 18, 2023
    Assignee: Suki AI, Inc.
    Inventors: Nithyanand Kota, Yashas Rao, Hao Ran Raymond Lin, Maneesh Dewan, Arunan Rabindran, Jatin Chhugani, Sudheer Tumu
  • Patent number: 11614917
    Abstract: Systems and methods to implement commands based on selection sequences to a user interface are disclosed. Exemplary implementations may: store, electronic storage, a library of terms utterable by users that facilitate implementation of intended results; obtain audio information representing sounds captured by a client computing platform; detect the spoken terms uttered by the user present within the audio information; determine whether the spoken terms detected are included in the library of terms; responsive to determination that the spoken terms are not included in the library of terms, effectuate presentation of an error message via the user interface; record a selection sequence that the user performs subsequent to the presentation of the error message that causes a result; correlate the selection sequence with the spoken terms based on the selection sequence recorded subsequent to error message to generate correlation; and store the correlation to the electronic storage.
    Type: Grant
    Filed: April 6, 2021
    Date of Patent: March 28, 2023
    Assignee: Suki AI, Inc.
    Inventors: Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota, Maneesh Dewan
  • Publication number: 20230072655
    Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.
    Type: Application
    Filed: November 17, 2022
    Publication date: March 9, 2023
    Inventors: Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota
  • Patent number: 11593438
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
    Type: Grant
    Filed: May 7, 2021
    Date of Patent: February 28, 2023
    Assignee: Adobe Inc.
    Inventors: Jonas Dahl, Sudheer Tumu, Nithyanand Kota, Mihir Naware, Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya
  • Patent number: 11508373
    Abstract: Systems and methods to translate a spoken command to a selection sequence are disclosed. Exemplary implementations may: obtain audio information representing sounds captured by a client computing platform; analyze the sounds to determine spoken terms; determine whether the spoken terms include one or more of the terms that are correlated with the commands; responsive to determining that the spoken terms are terms that are correlated with a particular command stored in the electronic storage, perform a set of operations that correspond to the particular command; responsive to determine that the spoken terms are not the terms correlated with the commands stored in the electronic storage, determining a selection sequence that causes a result subsequent to the analysis of the sounds; correlate the spoken terms with the selection sequence; store the correlation of the spoken terms with the selection sequence; and perform the selection sequence to cause the result.
    Type: Grant
    Filed: April 2, 2021
    Date of Patent: November 22, 2022
    Assignee: SuKI AI, Inc.
    Inventors: Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya, Alan Diec, Vamsi Reddy Chagari, Sudheer Tumu, Nithyanand Kota
  • Publication number: 20220366128
    Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.
    Type: Application
    Filed: July 27, 2022
    Publication date: November 17, 2022
    Inventors: Nithyanand Kota, Yashas Rao, Hao Ran Raymond Lin, Maneesh Dewan, Arunan Rabindran, Jatin Chhugani, Sudheer Tumu
  • Patent number: 11429780
    Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: August 30, 2022
    Assignee: Suki AI, Inc.
    Inventors: Nithyanand Kota, Yashas Rao, Hao Ran Raymond Lin, Maneesh Dewan, Arunan Rabindran, Jatin Chhugani, Sudheer Tumu
  • Publication number: 20220091815
    Abstract: Systems and methods to facilitate real-time editing by voice based on voice and physical inputs from a user and timing information for the individual inputs are disclosed. Exemplary implementations may: generate output signals conveying physical manipulation of a physical user interface by a user; generate output signals conveying audio information; process the output signals of the physical user interface to generate a physical input stream; process the captured audio information to generate an audio stream that represents spoken inputs uttered by the user; synchronize the physical input stream and the audio stream to convey relative timing between inputs both in the form of manipulations and in the form of spoken inputs included in the captured audio information; store the synchronized physical input stream and audio stream; determine, from the synchronization, sets of inputs that correspond to different individual commands; and execute the commands corresponding to the sets of inputs.
    Type: Application
    Filed: September 21, 2020
    Publication date: March 24, 2022
    Inventors: Sudheer Tumu, Yashas Rao, Maneesh Dewan, Arunan Rabindran, Nithyanand Kota, Jatin Chhugani
  • Publication number: 20210263970
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
    Type: Application
    Filed: May 7, 2021
    Publication date: August 26, 2021
    Inventors: Jonas Dahl, Sudheer Tumu, Nithyanand Kota, Mihir Naware, Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya
  • Patent number: 11030257
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: June 8, 2021
    Assignee: ADOBE INC.
    Inventors: Jonas Dahl, Sudheer Tumu, Nithyanand Kota, Mihir Naware, Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya
  • Publication number: 20200372073
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.
    Type: Application
    Filed: May 20, 2019
    Publication date: November 26, 2020
    Inventors: Jonas Dahl, Sudheer Tumu, Nithyanand Kota, Mihir Naware, Maneesh Dewan, Jatin Chhugani, Ganesh Satish Mallya