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公开(公告)号：US20210074285A1
公开(公告)日：2021-03-11
申请号：US16621540
申请日：2019-05-31
Applicant: Google LLC
Inventor： Michael Golikov , Zaheed Sabur , Denis Burakov , Behshad Behzadi , Sergey Nazarov , Daniel Cotting , Mario Bertschler , Lucas Mirelmann , Steve Cheng , Bohdan Vlasyuk , Jonathan Lee , Lucia Terrenghi , Adrian Zumbrunnen
Abstract: Implementations can reduce the time required to obtain responses from an automated assistant by, for example, obviating the need to provide an explicit invocation to the automated assistant, such as by saying a hot-word/phrase or performing a specific user input, prior to speaking a command or query. In addition, the automated assistant can optionally receive, understand, and/or respond to the command or query without communicating with a server, thereby further reducing the time in which a response can be provided. Implementations only selectively initiate on-device speech recognition responsive to determining one or more condition(s) are satisfied. Further, in some implementations, on-device NLU, on-device fulfillment, and/or resulting execution occur only responsive to determining, based on recognized text form the on-device speech recognition, that such further processing should occur. Thus, through selective activation of on-device speech processing, and/or selective activation of on-device NLU and/or on-device fulfillment, various client device resources are conserved.
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公开(公告)号：US12106759B2
公开(公告)日：2024-10-01
申请号：US17588481
申请日：2022-01-31
Applicant: Google LLC
Inventor： Denis Burakov , Behshad Behzadi , Mario Bertschler , Bohdan Vlasyuk , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Sergey Nazarov , Zaheed Sabur , Marcin Nowak-Przygodzki , Mugurel Ionut Andreica , Radu Voroneanu
CPC classification number: G10L15/26 , G06F3/167 , G10L15/22 , G10L2015/223
Abstract: Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.
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公开(公告)号：US20240312461A1
公开(公告)日：2024-09-19
申请号：US18674509
申请日：2024-05-24
Applicant: GOOGLE LLC
Inventor： Lucas Mirelmann , Zaheed Sabur , Bohdan Vlasyuk , Marie Patriarche Bledowski , Sergey Nazarov , Denis Burakov , Behshad Behzadi , Michael Golikov , Steve Cheng , Daniel Cotting , Mario Bertschler
CPC classification number: G10L15/22 , G10L15/083
Abstract: Implementations relate to receiving natural language input that requests an automated assistant to provide information and processing the natural language input to identify the requested information and to identify one or more predicted actions. Those implementations further cause a computing device, at which the natural language input is received, to render the requested information and the one or more predicted actions in response to the natural language input. Yet further, those implementations, in response to the user confirming a rendered predicted action, cause the automated assistant to initialize the predicted action.
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24.发明授权公开(公告)号：US11948576B2
公开(公告)日：2024-04-02
申请号：US18136189
申请日：2023-04-18
Applicant: GOOGLE LLC
Inventor： Daniel Cotting , Zaheed Sabur , Lan Huo , Bryan Christopher Horling , Behshad Behzadi , Lucas Mirelmann , Michael Golikov , Denis Burakov , Steve Cheng , Bohdan Vlasyuk , Sergey Nazarov , Mario Bertschler , Luv Kothari
CPC classification number: G10L15/22 , G06F3/165 , G06F3/167 , G10L15/1815 , G10L15/30 , H04L67/568 , G10L2015/223 , H04L67/01
Abstract: Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.
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公开(公告)号：US11900944B2
公开(公告)日：2024-02-13
申请号：US17588481
申请日：2022-01-31
Applicant: Google LLC
Inventor： Denis Burakov , Behshad Behzadi , Mario Bertschler , Bohdan Vlasyuk , Daniel Cotting , Michael Golikov , Lucas Mirelmann , Steve Cheng , Sergey Nazarov , Zaheed Sabur , Marcin Nowak-Przygodzki , Mugurel Ionut Andreica , Radu Voroneanu
CPC classification number: G10L15/26 , G06F3/167 , G10L15/22 , G10L2015/223
Abstract: Implementations set forth herein relate to a system that employs an automated assistant to further interactions between a user and another application, which can provide the automated assistant with permission to initialize relevant application actions simultaneous to the user interacting with the other application. Furthermore, the system can allow the automated assistant to initialize actions of different applications, despite being actively operating a particular application. Available actions can be gleaned by the automated assistant using various application-specific schemas, which can be compared with incoming requests from a user to the automated assistant. Additional data, such as context and historical interactions, can also be used to rank and identify a suitable application action to be initialized via the automated assistant.
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Patent Agency Ranking
公开(公告)号：US20230298585A1
公开(公告)日：2023-09-21
申请号：US18202236
申请日：2023-05-25
Applicant: GOOGLE LLC
Inventor： Lucas Mirelmann , Zaheed Sabur , Bohdan Vlasyuk , Marie Patriarche Bledowski , Sergey Nazarov , Denis Burakov , Behshad Behzadi , Michael Golikov , Steve Cheng , Daniel Cotting , Mario Bertschler
CPC classification number: G10L15/22 , G10L15/083
Abstract: Implementations herein relate to pre-caching data, corresponding to predicted interactions between a user and an automated assistant, using data characterizing previous interactions between the user and the automated assistant. An interaction can be predicted based on details of a current interaction between the user and an automated assistant. One or more predicted interactions can be initialized, and/or any corresponding data pre-cached, prior to the user commanding the automated assistant in furtherance of the predicted interaction. Interaction predictions can be generated using a user-parameterized machine learning model, which can be used when processing input(s) that characterize a recent user interaction with the automated assistant. The predicted interaction(s) can include action(s) to be performed by third-party application(s).
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27.发明公开公开(公告)号：US20230252989A1
公开(公告)日：2023-08-10
申请号：US18136189
申请日：2023-04-18
Applicant: GOOGLE LLC
Inventor： Daniel Cotting , Zaheed Sabur , Lan Huo , Bryan Christopher Horling , Behshad Behzadi , Lucas Mirelmann , Michael Golikov , Denis Burakov , Steve Cheng , Bohdan Vlasyuk , Sergey Nazarov , Mario Bertschler , Luv Kothari
IPC: G10L15/22 , G06F3/16 , G10L15/18 , G10L15/30 , H04L67/568
CPC classification number: G10L15/22 , G06F3/165 , G06F3/167 , G10L15/1815 , G10L15/30 , H04L67/568 , G10L2015/223 , H04L67/01
Abstract: Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.
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公开(公告)号：US11664028B2
公开(公告)日：2023-05-30
申请号：US17569811
申请日：2022-01-06
Applicant: GOOGLE LLC
Inventor： Lucas Mirelmann , Zaheed Sabur , Bohdan Vlasyuk , Marie Patriarche Bledowski , Sergey Nazarov , Denis Burakov , Behshad Behzadi , Michael Golikov , Steve Cheng , Daniel Cotting , Mario Bertschler
CPC classification number: G10L15/22 , G10L15/083
Abstract: Implementations herein relate to pre-caching data, corresponding to predicted interactions between a user and an automated assistant, using data characterizing previous interactions between the user and the automated assistant. An interaction can be predicted based on details of a current interaction between the user and an automated assistant. One or more predicted interactions can be initialized, and/or any corresponding data pre-cached, prior to the user commanding the automated assistant in furtherance of the predicted interaction. Interaction predictions can be generated using a user-parameterized machine learning model, which can be used when processing input(s) that characterize a recent user interaction with the automated assistant. The predicted interaction(s) can include action(s) to be performed by third-party application(s).
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公开(公告)号：US20230041517A1
公开(公告)日：2023-02-09
申请号：US17970894
申请日：2022-10-21
Applicant: GOOGLE LLC
Inventor： Michael Golikov , Zaheed Sabur , Denis Burakov , Behshad Behzadi , Sergey Nazarov , Daniel Cotting , Mario Bertschler , Lucas Mirelmann , Steve Cheng , Bohdan Vlasyuk , Jonathan Lee , Lucia Terrenghi , Adrian Zumbrunnen
Abstract: Implementations can reduce the time required to obtain responses from an automated assistant by, for example, obviating the need to provide an explicit invocation to the automated assistant, such as by saying a hot-word/phrase or performing a specific user input, prior to speaking a command or query. In addition, the automated assistant can optionally receive, understand, and/or respond to the command or query without communicating with a server, thereby further reducing the time in which a response can be provided. Implementations only selectively initiate on-device speech recognition responsive to determining one or more condition(s) are satisfied. Further, in some implementations, on-device NLU, on-device fulfillment, and/or resulting execution occur only responsive to determining, based on recognized text form the on-device speech recognition, that such further processing should occur. Thus, through selective activation of on-device speech processing, and/or selective activation of on-device NLU and/or on-device fulfillment, various client device resources are conserved.
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公开(公告)号：US20220059093A1
公开(公告)日：2022-02-24
申请号：US17521131
申请日：2021-11-08
Applicant: Google LLC
Inventor： Daniel Cotting , Zaheed Sabur , Lan Huo , Bryan Christopher Horling , Behshad Behzadi , Lucas Mirelmann , Michael Golikov , Denis Burakov , Steve Cheng , Bohdan Vlasyuk , Sergey Nazarov , Mario Bertschler , Luv Kothari
Abstract: Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.
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