Patents by Inventor Assaf Hurwitz Michaely
Assaf Hurwitz Michaely 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: 20230419964Abstract: Implementations are directed to causing a voice bot to utilize a plurality of ML layers in resolving unique personal identifier(s) for a human while the voice bot is engaged in a corresponding conversation with the human. The unique personal identifier(s) can include a unique sequence of alphanumeric characters that is personal to the human. In some implementations, ASR speech hypothes(es) corresponding to spoken utterance(s) that include the unique personal identifier(s) can be processed to generate candidate unique personal identifier(s), given alphanumeric character(s) of the candidate unique personal identifier(s) can be selected, and the voice bot can prompt the human with clarification request(s) to clarify the given alphanumeric character(s) until it is predicted to correspond to the an actual unique personal identifier(s) for the human(s). The unique personal identifier(s) can then be utilized in performance of further action(s) by the voice bot and/or other systems.Type: ApplicationFiled: September 7, 2023Publication date: December 28, 2023Inventors: Rafael Goldfarb, Or Guz, Lior Alon, Assaf Hurwitz Michaely, Golan Pundak, Shmuel Leibtag, Tomer Amiaz, Dan Rasin, Asaf Aharoni
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Patent number: 11790906Abstract: Implementations are directed to causing a voice bot to utilize a plurality of ML layers in resolving unique personal identifier(s) for a human while the voice bot is engaged in a corresponding conversation with the human. The unique personal identifier(s) can include a unique sequence of alphanumeric characters that is personal to the human. In some implementations, ASR speech hypothes(es) corresponding to spoken utterance(s) that include the unique personal identifier(s) can be processed to generate candidate unique personal identifier(s), given alphanumeric character(s) of the candidate unique personal identifier(s) can be selected, and the voice bot can prompt the human with clarification request(s) to clarify the given alphanumeric character(s) until it is predicted to correspond to the an actual unique personal identifier(s) for the human(s). The unique personal identifier(s) can then be utilized in performance of further action(s) by the voice bot and/or other systems.Type: GrantFiled: January 25, 2021Date of Patent: October 17, 2023Assignee: GOOGLE LLCInventors: Rafael Goldfarb, Or Guz, Lior Alon, Assaf Hurwitz Michaely, Golan Pundak, Shmuel Leibtag, Tomer Amiaz, Dan Rasin, Asaf Aharoni
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Patent number: 11676607Abstract: A method for denormalizing raw speech recognition results. The method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. The context metadata indicates that the speech input includes dictated speech directed to a messaging application that is currently executing on a user device for inclusion in an electronic message. The method further includes generating, using a speech recognizer, a raw speech recognition result including an explicit punctuation term spoken by the user and corresponding to the speech input. Based on the context metadata, the method includes denormalizing the generated raw speech recognition result into denormalized text by applying an explicit punctuation denormalizer to convert the explicit punctuation term in the raw speech recognition result into a corresponding punctuation symbol and displaying the denormalized text including the corresponding punctuation symbol on a display screen of the user device.Type: GrantFiled: February 28, 2022Date of Patent: June 13, 2023Assignee: Google LLCInventors: Assaf Hurwitz Michaely, Petar Aleksic, Pedro J. Moreno Mengibar
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Publication number: 20220277749Abstract: A method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. The method also includes generating a raw speech recognition result corresponding to the speech input and selecting a list of one or more denormalizers to apply to the generated raw speech recognition result based on the context metadata associated with the speech input. The generated raw speech recognition result includes normalized text. The method also includes denormalizing the generated raw speech recognition result into denormalized text by applying the list of the one or more denormalizers in sequence to the generated raw speech recognition result.Type: ApplicationFiled: February 28, 2022Publication date: September 1, 2022Applicant: Google LLCInventors: Assaf Hurwitz Michaely, Petar Aleksic, Pedro J. Moreno Mengibar
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Publication number: 20220238105Abstract: Implementations are directed to causing a voice bot to utilize a plurality of ML layers in resolving unique personal identifier(s) for a human while the voice bot is engaged in a corresponding conversation with the human. The unique personal identifier(s) can include a unique sequence of alphanumeric characters that is personal to the human. In some implementations, ASR speech hypothes(es) corresponding to spoken utterance(s) that include the unique personal identifier(s) can be processed to generate candidate unique personal identifier(s), given alphanumeric character(s) of the candidate unique personal identifier(s) can be selected, and the voice bot can prompt the human with clarification request(s) to clarify the given alphanumeric character(s) until it is predicted to correspond to the an actual unique personal identifier(s) for the human(s). The unique personal identifier(s) can then be utilized in performance of further action(s) by the voice bot and/or other systems.Type: ApplicationFiled: January 25, 2021Publication date: July 28, 2022Inventors: Rafael Goldfarb, Or Guz, Lior Alon, Assaf Hurwitz Michaely, Golan Pundak, Shmuel Leibtag, Tomer Amiaz, Dan Rasin, Asaf Aharoni
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Patent number: 11282525Abstract: A method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. The method also includes generating a raw speech recognition result corresponding to the speech input and selecting a list of one or more denormalizers to apply to the generated raw speech recognition result based on the context metadata associated with the speech input. The generated raw speech recognition result includes normalized text. The method also includes denormalizing the generated raw speech recognition result into denormalized text by applying the list of the one or more denormalizers in sequence to the generated raw speech recognition result.Type: GrantFiled: September 1, 2020Date of Patent: March 22, 2022Assignee: Google LLCInventors: Assaf Hurwitz Michaely, Petar Aleksic, Pedro J. Moreno Mengibar
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Publication number: 20200402512Abstract: A method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. Hie method also includes generating a raw speech recognition result corresponding to the speech input and selecting a list of one or more denormalizers to apply to the generated raw speech recognition result based on the context metadata associated with the speech input. The generated raw speech recognition result includes normalized text. The method also includes denormalizing the generated raw speech recognition result into denormalized text by applying the list of the one or more denormalizers in sequence to the generated raw speech recognition result.Type: ApplicationFiled: September 1, 2020Publication date: December 24, 2020Applicant: Google LLCInventors: Assaf Hurwitz Michaely, Petar Aleksic, Pedro J. Moreno Mengibar
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Patent number: 10789955Abstract: A method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. The method also includes generating a raw speech recognition result corresponding to the speech input and selecting a list of one or more denormalizers to apply to the generated raw speech recognition result based on the context metadata associated with the speech input. The generated raw speech recognition result includes normalized text. The method also includes denormalizing the generated raw speech recognition result into denormalized text by applying the list of the one or more denormalizers in sequence to the generated raw speech recognition result.Type: GrantFiled: November 16, 2018Date of Patent: September 29, 2020Assignee: Google LLCInventors: Assaf Hurwitz Michaely, Petar Aleksic, Pedro Moreno
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Publication number: 20200160865Abstract: A method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. The method also includes generating a raw speech recognition result corresponding to the speech input and selecting a list of one or more denormalizers to apply to the generated raw speech recognition result based on the context metadata associated with the speech input. The generated raw speech recognition result includes normalized text. The method also includes denormalizing the generated raw speech recognition result into denormalized text by applying the list of the one or more denormalizers in sequence to the generated raw speech recognition result.Type: ApplicationFiled: November 16, 2018Publication date: May 21, 2020Applicant: Google LLCInventors: Assaf Hurwitz Michaely, Petar Aleksic, Pedro Moreno
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Patent number: 10579730Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for natural language processing. One of the methods includes receiving a first voice input from a user device; generating a first recognition output; receiving a user selection of one or more terms in the first recognition output; receiving a second voice input spelling a correction of the user selection; determining a corrected recognition output for the selected portion; and providing a second recognition output that merges the first recognition output and the corrected recognition output.Type: GrantFiled: January 25, 2019Date of Patent: March 3, 2020Assignee: Google LLCInventors: Evgeny A. Cherepanov, Gleb Skobeltsyn, Jakob Foerster, Petar Aleksic, Assaf Hurwitz Michaely