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公开(公告)号：US20250166620A1
公开(公告)日：2025-05-22
申请号：US19029691
申请日：2025-01-17
Applicant: GOOGLE LLC
Inventor： Matthew Sharifi , Tom Hume , Mohamad Hassan Mohamad Rom , Jan Althaus , Diego Melendo Casado
Abstract: Techniques are described herein for selectively processing a user's utterances captured prior to and after an event that invokes an automated assistant to determine the user's intent and/or any parameters required for resolving the user's intent. In various implementations, respective measures of fitness for triggering responsive action by the automated assistant may be determined for pre-event and a post-event input streams. Based on the respective measures of fitness, one or both of the pre-event input stream or post-event input stream may be selected and used to cause the automated assistant to perform one or more responsive actions.
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公开(公告)号：US11887006B2
公开(公告)日：2024-01-30
申请号：US17466843
申请日：2021-09-03
Applicant: Google LLC
Inventor： Sebastian Millius , Tom Hume , Matthew Sharifi
IPC: G06N3/08 , G06N3/084 , G06Q10/107 , G06F40/30 , G06F40/35 , G06F40/216 , G06F40/284 , H04M1/72403 , H04M1/72484 , H04L51/234 , G06N3/044 , G06N3/045 , H04L51/046 , G06F40/169 , H04M1/72436 , H04M1/72451 , H04M1/72454
CPC classification number: G06N3/084 , G06F40/216 , G06F40/284 , G06F40/30 , G06F40/35 , G06N3/044 , G06N3/045 , G06Q10/107 , H04L51/046 , H04L51/234 , H04M1/72403 , H04M1/72484 , G06F40/169 , H04M1/72436 , H04M1/72451 , H04M1/72454
Abstract: Training and/or utilizing an interaction prediction model to generate a predicted interaction value that indicates a likelihood of interaction with a corresponding application on the basis of an electronic communication. The application can be in addition to any electronic communication application that is utilized in formulating the electronic communication and/or that is utilized in rendering the electronic communication. The predicted interaction value can be generated based on processing, utilizing the interaction prediction model, of features of the electronic communication and/or of other features. The predicted interaction value can be utilized to determine whether to perform further action(s) that interact with, and/or enable efficient interaction with, the application on the basis of the electronic communication.
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公开(公告)号：US20220335930A1
公开(公告)日：2022-10-20
申请号：US17859068
申请日：2022-07-07
Applicant: Google LLC
Inventor： Matthew Sharifi , Tom Hume , Mohamad Hassan Mohamad Rom , Jan Althaus , Diego Melendo Casado
Abstract: Techniques are described herein for selectively processing a user's utterances captured prior to and after an event that invokes an automated assistant to determine the user's intent and/or any parameters required for resolving the user's intent. In various implementations, respective measures of fitness for triggering responsive action by the automated assistant may be determined for pre-event and a post-event input streams. Based on the respective measures of fitness, one or both of the pre-event input stream or post-event input stream may be selected and used to cause the automated assistant to perform one or more responsive actions.
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公开(公告)号：US11423885B2
公开(公告)日：2022-08-23
申请号：US16349871
申请日：2019-02-20
Applicant: Google LLC
Inventor： Matthew Sharifi , Tom Hume , Mohamad Hassan Mohamad Rom , Jan Althaus , Diego Melendo Casado
Abstract: Techniques are described herein for selectively processing a user's utterances captured prior to and after an event that invokes an automated assistant to determine the user's intent and/or any parameters required for resolving the user's intent. In various implementations, respective measures of fitness for triggering responsive action by the automated assistant may be determined for pre-event and a post-event input streams. Based on the respective measures of fitness, one or both of the pre-event input stream or post-event input stream may be selected and used to cause the automated assistant to perform one or more responsive actions.
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公开(公告)号：US20210065693A1
公开(公告)日：2021-03-04
申请号：US16349871
申请日：2019-02-20
Applicant: Google LLC
Inventor： Matthew Sharifi , Tom Hume , Mohamad Hassan Mohamad Rom , Jan Althaus , Diego Melendo Casado
Abstract: Techniques are described herein for selectively processing a user's utterances captured prior to and after an event that invokes an automated assistant to determine the user's intent and/or any parameters required for resolving the user's intent. In various implementations, respective measures of fitness for triggering responsive action by the automated assistant may be determined for pre-event and a post-event input streams. Based on the respective measures of fitness, one or both of the pre-event input stream or post-event input stream may be selected and used to cause the automated assistant to perform one or more responsive actions.
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Patent Agency Ranking
公开(公告)号：US20190138904A1
公开(公告)日：2019-05-09
申请号：US15815478
申请日：2017-11-16
Applicant: Google LLC
Inventor： Sebastian Millius , Tom Hume , Matthew Sharifi
Abstract: Training and/or utilizing an interaction prediction model to generate a predicted interaction value that indicates a likelihood of interaction with a corresponding application on the basis of an electronic communication. The application can be in addition to any electronic communication application that is utilized in formulating the electronic communication and/or that is utilized in rendering the electronic communication. The predicted interaction value can be generated based on processing, utilizing the interaction prediction model, of features of the electronic communication and/or of other features. The predicted interaction value can be utilized to determine whether to perform further action(s) that interact with, and/or enable efficient interaction with, the application on the basis of the electronic communication.
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公开(公告)号：US12249321B2
公开(公告)日：2025-03-11
申请号：US17859068
申请日：2022-07-07
Applicant: Google LLC
Inventor： Matthew Sharifi , Tom Hume , Mohamad Hassan Mohamad Rom , Jan Althaus , Diego Melendo Casado
Abstract: Techniques are described herein for selectively processing a user's utterances captured prior to and after an event that invokes an automated assistant to determine the user's intent and/or any parameters required for resolving the user's intent. In various implementations, respective measures of fitness for triggering responsive action by the automated assistant may be determined for pre-event and a post-event input streams. Based on the respective measures of fitness, one or both of the pre-event input stream or post-event input stream may be selected and used to cause the automated assistant to perform one or more responsive actions.
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8.发明申请公开(公告)号：US20190102458A1
公开(公告)日：2019-04-04
申请号：US16148338
申请日：2018-10-01
Applicant: Google LLC
Inventor： 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
Abstract: 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.
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公开(公告)号：US20190102144A1
公开(公告)日：2019-04-04
申请号：US16148401
申请日：2018-10-01
Applicant: Google LLC
Inventor： 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
Abstract: 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.
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公开(公告)号：US20240169206A1
公开(公告)日：2024-05-23
申请号：US18426036
申请日：2024-01-29
Applicant: GOOGLE LLC
Inventor： Sebastian Millius , Tom Hume , Matthew Sharifi
IPC: G06N3/084 , G06F40/169 , G06F40/216 , G06F40/284 , G06F40/30 , G06F40/35 , G06N3/044 , G06N3/045 , G06Q10/107 , H04L51/046 , H04L51/234 , H04M1/72403 , H04M1/72436 , H04M1/72451 , H04M1/72454 , H04M1/72484
CPC classification number: G06N3/084 , G06F40/216 , G06F40/284 , G06F40/30 , G06F40/35 , G06N3/044 , G06N3/045 , G06Q10/107 , H04L51/046 , H04L51/234 , H04M1/72403 , H04M1/72484 , G06F40/169 , H04M1/72436 , H04M1/72451 , H04M1/72454
Abstract: Training and/or utilizing an interaction prediction model to generate a predicted interaction value that indicates a likelihood of interaction with a corresponding application on the basis of an electronic communication. The application can be in addition to any electronic communication application that is utilized in formulating the electronic communication and/or that is utilized in rendering the electronic communication. The predicted interaction value can be generated based on processing, utilizing the interaction prediction model, of features of the electronic communication and/or of other features. The predicted interaction value can be utilized to determine whether to perform further action(s) that interact with, and/or enable efficient interaction with, the application on the basis of the electronic communication.
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