Patents by Inventor Gabriel Taubman
Gabriel Taubman 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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Patent number: 11967321Abstract: Implementations set forth herein relate to an automated assistant that can interact with applications that may not have been pre-configured for interfacing with the automated assistant. The automated assistant can identify content of an application interface of the application to determine synonymous terms that a user may speak when commanding the automated assistant to perform certain tasks. Speech processing operations employed by the automated assistant can be biased towards these synonymous terms when the user is accessing an application interface of the application. In some implementations, the synonymous terms can be identified in a responsive language of the automated assistant when the content of the application interface is being rendered in a different language. This can allow the automated assistant to operate as an interface between the user and certain applications that may not be rendering content in a native language of the user.Type: GrantFiled: November 30, 2021Date of Patent: April 23, 2024Assignee: GOOGLE LLCInventors: Joseph Lange, Abhanshu Sharma, Adam Coimbra, Gökhan Bakir, Gabriel Taubman, Ilya Firman, Jindong Chen, James Stout, Marcin Nowak-Przygodzki, Reed Enger, Thomas Weedon Hume, Vishwath Mohan, Jacek Szmigiel, Yunfan Jin, Kyle Pedersen, Gilles Baechler
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Patent number: 11830499Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.Type: GrantFiled: February 28, 2022Date of Patent: November 28, 2023Assignee: Google LLCInventors: Gabriel Taubman, Andrew W. Hogue, John J. Lee
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Patent number: 11640426Abstract: Implementations relate to techniques for providing context-dependent search results. The techniques can include receiving a query and background audio. The techniques can also include identifying the background audio, establishing concepts related to the background audio and obtaining terms related to the concepts related to the background audio. The techniques can also include obtaining search results based on the query and on at least one of the terms. The techniques can also include providing the search results.Type: GrantFiled: May 28, 2021Date of Patent: May 2, 2023Assignee: GOOGLE LLCInventors: Jason Sanders, John J. Lee, Gabriel Taubman
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Publication number: 20230125170Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.Type: ApplicationFiled: December 21, 2022Publication date: April 27, 2023Applicant: Google LLCInventors: Jason Sanders, Gabriel Taubman, John J. Lee
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Publication number: 20230103677Abstract: Implementations set forth herein relate to an automated assistant that can interact with applications that may not have been pre-configured for interfacing with the automated assistant. The automated assistant can identify content of an application interface of the application to determine synonymous terms that a user may speak when commanding the automated assistant to perform certain tasks. Speech processing operations employed by the automated assistant can be biased towards these synonymous terms when the user is accessing an application interface of the application. In some implementations, the synonymous terms can be identified in a responsive language of the automated assistant when the content of the application interface is being rendered in a different language. This can allow the automated assistant to operate as an interface between the user and certain applications that may not be rendering content in a native language of the user.Type: ApplicationFiled: November 30, 2021Publication date: April 6, 2023Inventors: Joseph Lange, Abhanshu Sharma, Adam Coimbra, Gökhan Bakir, GABRIEL Taubman, Ilya Firman, Jindong Chen, James Stout, Marcin Nowak-Przygodzki, Reed Enger, THOMAS Weedon Hume, Vishwath Mohan, Jacek Szmigiel, Yunfan Jin, Kyle Pedersen, Gilles Baechler
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Publication number: 20230096274Abstract: Methods, systems, and apparatus for filtering content at the operating system level. In one aspect, a method includes accessing, at a user device, data that includes content items that are to be presented by an application executing on the user device; prior to the content being presented by the application: for each content item, determining, at the user device and by a filtering model, whether the content item is to be presented by the application or filtered, for each content item that is determined to be presented by the application, allowing the application to present the content item, and for each content item that is determined to be filtered, precluding, by the filtering model by a system level filtering operation performed at an operating system level and separate from an application level at which the application is executing, presentation of the content item by the application.Type: ApplicationFiled: March 13, 2020Publication date: March 30, 2023Inventors: Benjamin Schlesinger, Noam Etzion-Rosenberg, Anatoly Efros, Morgan Venable, Gabriel Taubman, John DiMartile, Nikita Edward Dubrovsky, Sahil Goel, Hen Fitoussi, Sapir Caduri
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Patent number: 11557280Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.Type: GrantFiled: November 23, 2020Date of Patent: January 17, 2023Assignee: Google LLCInventors: Jason Sanders, Gabriel Taubman, John J. Lee
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Publication number: 20220208197Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input, determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback scare associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.Type: ApplicationFiled: March 9, 2022Publication date: June 30, 2022Inventors: Gabriel Taubman, Andrew W. Hogue, John J. Lee
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Publication number: 20220189487Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.Type: ApplicationFiled: February 28, 2022Publication date: June 16, 2022Applicant: Google LLCInventors: Gabriel Taubman, Andrew W. Hoque, John J. Lee
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Patent number: 11289096Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.Type: GrantFiled: November 15, 2019Date of Patent: March 29, 2022Assignee: Google LLCInventors: Gabriel Taubman, Andrew W. Hogue, John J. Lee
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Patent number: 11023520Abstract: Implementations relate to techniques for providing context-dependent search results. The techniques can include receiving a query and background audio. The techniques can also include identifying the background audio, establishing concepts related to the background audio and obtaining terms related to the concepts related to the background audio. The techniques can also include obtaining search results based on the query and on at least one of the terms. The techniques can also include providing the search results.Type: GrantFiled: January 10, 2019Date of Patent: June 1, 2021Assignee: GOOGLE LLCInventors: Jason Sanders, John J. Lee, Gabriel Taubman
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Publication number: 20210082404Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.Type: ApplicationFiled: November 23, 2020Publication date: March 18, 2021Applicant: Google LLCInventors: Jason Sanders, Gabriel Taubman, John J. Lee
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Patent number: 10872600Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.Type: GrantFiled: January 16, 2019Date of Patent: December 22, 2020Assignee: Google LLCInventors: Jason Sanders, Gabriel Taubman, John J. Lee
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Patent number: 10635860Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for resolving ambiguity in received voice queries. An original voice query is received following one or more earlier voice queries, wherein the original voice query includes a pronoun or phrase. In one implementation, a plurality of acoustic parameters is identified for one or more words in the original voice query. A concept represented by the pronoun is identified based on the plurality of acoustic parameters, wherein the concept is associated with a particular query of the one or more earlier queries. The concept is associated with the pronoun. Alternatively, a concept may be associated with a phrase by using grammatical analysis of the query to relate the phrase to a concept derived from a prior query.Type: GrantFiled: June 15, 2018Date of Patent: April 28, 2020Assignee: Google LLCInventors: Gabriel Taubman, John J. Lee
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Publication number: 20200082829Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.Type: ApplicationFiled: November 15, 2019Publication date: March 12, 2020Applicant: Google LLCInventors: Gabriel Taubman, Andrew W. Hogue, John J. Lee
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Patent number: 10504521Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.Type: GrantFiled: May 26, 2017Date of Patent: December 10, 2019Assignee: Google LLCInventors: Gabriel Taubman, Andrew W. Hogue, John J. Lee
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Publication number: 20190102458Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products. A computing device stores reference song characterization data and receives digital audio data. The computing device determines whether the digital audio data represents music and then performs a different process to recognize that the digital audio data represents a particular reference song. The computing device then outputs an indication of the particular reference song.Type: ApplicationFiled: October 1, 2018Publication date: April 4, 2019Inventors: Dominik Roblek, Blaise Aguera-Arcas, Tom Hume, Marvin Ritter, Brandon Barbello, Kevin Kilgour, Mihajlo Velimirovic, Christopher Walter George Thornton, Gabriel Taubman, James David Lyon, Jan Athaus, Katsiaryna Naliuka, Julian Odell, Matthew Sharifi, Beat Gfeller
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Publication number: 20190102144Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for indicating a reference song. A computing device stores reference song characterization data that identifies a plurality of audio characteristics for each reference song in a plurality of reference songs. The computing device receives digital audio data that represents audio recorded by a microphone, converts the digital audio data from time-domain format into frequency-domain format, and uses the digital audio data in the frequency-domain format in a music-characterization process. In response to determining that characterization values for the digital audio data are most relevant to characterization values for a particular reference song, the computing device outputs an indication of the particular reference song.Type: ApplicationFiled: October 1, 2018Publication date: April 4, 2019Inventors: Dominik Roblek, Blaise Aguera-Arcas, Tom Hume, Marvin Ritter, Brandon Barbello, Kevin Kilgour, Mihajlo Velimirovic, Christopher Walter George Thornton, Gabriel Taubman, James David Lyon, Jan Althaus, Katsiaryna Naliuka, Julian Odell, Matthew Sharifi, Beat Gfeller
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Patent number: 10224024Abstract: Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.Type: GrantFiled: June 14, 2017Date of Patent: March 5, 2019Assignee: Google LLCInventors: Jason Sanders, Gabriel Taubman, John J. Lee
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Patent number: 10019434Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for resolving ambiguity in received voice queries. An original voice query is received following one or more earlier voice queries, wherein the original voice query includes a pronoun or phrase. In one implementation, a plurality of acoustic parameters is identified for one or more words in the original voice query. A concept represented by the pronoun is identified based on the plurality of acoustic parameters, wherein the concept is associated with a particular query of the one or more earlier queries. The concept is associated with the pronoun. Alternatively, a concept may be associated with a phrase by using grammatical analysis of the query to relate the phrase to a concept derived from a prior query.Type: GrantFiled: December 21, 2016Date of Patent: July 10, 2018Assignee: Google LLCInventors: Gabriel Taubman, John J. Lee