Patents by Inventor Srikanth Pandiri
Srikanth Pandiri 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: 20240420699Abstract: Systems and methods described herein relate to determining whether to incorporate recognized text, that corresponds to a spoken utterance of a user of a client device, into a transcription displayed at the client device, or to cause an assistant command, that is associated with the transcription and that is based on the recognized text, to be performed by an automated assistant implemented by the client device. The spoken utterance is received during a dictation session between the user and the automated assistant. Implementations can process, using automatic speech recognition model(s), audio data that captures the spoken utterance to generate the recognized text. Further, implementations can determine whether to incorporate the recognized text into the transcription or cause the assistant command to be performed based on touch input being directed to the transcription, a state of the transcription, and/or audio-based characteristic(s) of the spoken utterance.Type: ApplicationFiled: August 26, 2024Publication date: December 19, 2024Inventors: Victor Carbune, Alvin Abdagic, Behshad Behzadi, Jacopo Sannazzaro Natta, Julia Proskurnia, Krzysztof Andrzej Goj, Srikanth Pandiri, Viesturs Zarins, Nicolo D'Ercole, Zaheed Sabur, Luv Kothari
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Publication number: 20240411513Abstract: Implementations set forth herein relate to an automated assistant that can selectively determine whether to incorporate a verbatim interpretation of portions spoken utterances into an entry field and/or incorporate synonymous content into the entry field. For instance, a user can be accessing an interface that provides an entry field (e.g., address field) for receiving user input. In order to provide input for entry field, the user can select the entry field and/or access a GUI keyboard to initialize an automated assistant for assisting with filling the entry field. Should the user provide a spoken utterance, the user can elect to provide a spoken utterance that embodies the intended input (e.g., an actual address) or a reference to the intended input (e.g., a name). In response to the spoken utterance, the automated assistant can fill the entry field with the intended input without necessitating further input from the user.Type: ApplicationFiled: August 19, 2024Publication date: December 12, 2024Inventors: Srikanth Pandiri, Luv Kothari, Behshad Behzadi, Zaheed Sabur, Domenico Carbotta, Akshay Kannan, Qi Wang, Gokay Baris Gultekin, Angana Ghosh, Xu Liu, Yang Lu, Steve Cheng
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Patent number: 12106758Abstract: Systems and methods described herein relate to determining whether to incorporate recognized text, that corresponds to a spoken utterance of a user of a client device, into a transcription displayed at the client device, or to cause an assistant command, that is associated with the transcription and that is based on the recognized text, to be performed by an automated assistant implemented by the client device. The spoken utterance is received during a dictation session between the user and the automated assistant. Implementations can process, using automatic speech recognition model(s), audio data that captures the spoken utterance to generate the recognized text. Further, implementations can determine whether to incorporate the recognized text into the transcription or cause the assistant command to be performed based on touch input being directed to the transcription, a state of the transcription, and/or audio-based characteristic(s) of the spoken utterance.Type: GrantFiled: May 17, 2021Date of Patent: October 1, 2024Assignee: GOOGLE LLCInventors: Victor Carbune, Alvin Abdagic, Behshad Behzadi, Jacopo Sannazzaro Natta, Julia Proskurnia, Krzysztof Andrzej Goj, Srikanth Pandiri, Viesturs Zarins, Nicolo D'Ercole, Zaheed Sabur, Luv Kothari
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Patent number: 12093609Abstract: Implementations set forth herein relate to an automated assistant that can selectively determine whether to incorporate a verbatim interpretation of portions spoken utterances into an entry field and/or incorporate synonymous content into the entry field. For instance, a user can be accessing an interface that provides an entry field (e.g., address field) for receiving user input. In order to provide input for entry field, the user can select the entry field and/or access a GUI keyboard to initialize an automated assistant for assisting with filling the entry field. Should the user provide a spoken utterance, the user can elect to provide a spoken utterance that embodies the intended input (e.g., an actual address) or a reference to the intended input (e.g., a name). In response to the spoken utterance, the automated assistant can fill the entry field with the intended input without necessitating further input from the user.Type: GrantFiled: November 9, 2023Date of Patent: September 17, 2024Assignee: GOOGLE LLCInventors: Srikanth Pandiri, Luv Kothari, Behshad Behzadi, Zaheed Sabur, Domenico Carbotta, Akshay Kannan, Qi Wang, Gokay Baris Gultekin, Angana Ghosh, Xu Liu, Yang Lu, Steve Cheng
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Publication number: 20240078083Abstract: Implementations set forth herein relate to an automated assistant that can selectively determine whether to incorporate a verbatim interpretation of portions spoken utterances into an entry field and/or incorporate synonymous content into the entry field. For instance, a user can be accessing an interface that provides an entry field (e.g., address field) for receiving user input. In order to provide input for entry field, the user can select the entry field and/or access a GUI keyboard to initialize an automated assistant for assisting with filling the entry field. Should the user provide a spoken utterance, the user can elect to provide a spoken utterance that embodies the intended input (e.g., an actual address) or a reference to the intended input (e.g., a name). In response to the spoken utterance, the automated assistant can fill the entry field with the intended input without necessitating further input from the user.Type: ApplicationFiled: November 9, 2023Publication date: March 7, 2024Inventors: Srikanth Pandiri, Luv Kolhari, Behshad Behzadi, Zaheed Sabur, Domenico Carbotta, Akshay Kannan, Qi Wang, Gokay Baris Gultekin, Angana Ghosh, Xu Liu, Yang Lu, Steve Cheng
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Patent number: 11853649Abstract: Implementations set forth herein relate to an automated assistant that can selectively determine whether to incorporate a verbatim interpretation of portions spoken utterances into an entry field and/or incorporate synonymous content into the entry field. For instance, a user can be accessing an interface that provides an entry field (e.g., address field) for receiving user input. In order to provide input for entry field, the user can select the entry field and/or access a GUI keyboard to initialize an automated assistant for assisting with filling the entry field. Should the user provide a spoken utterance, the user can elect to provide a spoken utterance that embodies the intended input (e.g., an actual address) or a reference to the intended input (e.g., a name). In response to the spoken utterance, the automated assistant can fill the entry field with the intended input without necessitating further input from the user.Type: GrantFiled: December 13, 2019Date of Patent: December 26, 2023Assignee: GOOGLE LLCInventors: Srikanth Pandiri, Luv Kothari, Behshad Behzadi, Zaheed Sabur, Domenico Carbotta, Akshay Kannan, Qi Wang, Gokay Baris Gultekin, Angana Ghosh, Xu Liu, Yang Lu, Steve Cheng
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Publication number: 20220366910Abstract: Systems and methods described herein relate to determining whether to incorporate recognized text, that corresponds to a spoken utterance of a user of a client device, into a transcription displayed at the client device, or to cause an assistant command, that is associated with the transcription and that is based on the recognized text, to be performed by an automated assistant implemented by the client device. The spoken utterance is received during a dictation session between the user and the automated assistant. Implementations can process, using automatic speech recognition model(s), audio data that captures the spoken utterance to generate the recognized text. Further, implementations can determine whether to incorporate the recognized text into the transcription or cause the assistant command to be performed based on touch input being directed to the transcription, a state of the transcription, and/or audio-based characteristic(s) of the spoken utterance.Type: ApplicationFiled: May 17, 2021Publication date: November 17, 2022Inventors: Victor Carbune, Alvin Abdagic, Behshad Behzadi, Jacopo Sannazzaro Natta, Julia Proskurnia, Krzysztof Andrzej Goj, Srikanth Pandiri, Viesturs Zarins, Nicolo D'Ercole, Zaheed Sabur, Luv Kothari
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Publication number: 20220253277Abstract: Implementations set forth herein relate to an automated assistant that can selectively determine whether to incorporate a verbatim interpretation of portions spoken utterances into an entry field and/or incorporate synonymous content into the entry field. For instance, a user can be accessing an interface that provides an entry field (e.g., address field) for receiving user input. In order to provide input for entry field, the user can select the entry field and/or access a GUI keyboard to initialize an automated assistant for assisting with filling the entry field. Should the user provide a spoken utterance, the user can elect to provide a spoken utterance that embodies the intended input (e.g., an actual address) or a reference to the intended input (e.g., a name). In response to the spoken utterance, the automated assistant can fill the entry field with the intended input without necessitating further input from the user.Type: ApplicationFiled: December 13, 2019Publication date: August 11, 2022Inventors: Srikanth Pandiri, Luv Kothari, Behshad Behzadi, Zaheed Sabur, Domenico Carbotta, Akshay Kannan, Qi Wang, Gokay Baris Gultekin, Angana Ghosh, Xu Liu, Yang Lu, Steve Cheng