公开(公告)号：US20230402035A1

公开(公告)日：2023-12-14

申请号：US18238898

申请日：2023-08-28

Applicant: GOOGLE LLC

Inventor： Andrea Terwisscha van Scheltinga ,  Nicolo D'Ercole ,  Zaheed Sabur ,  Bibo Xu ,  Megan Knight ,  Alvin Abdagic ,  Jan Lamecki ,  Bo Zhang

IPC: G10L15/22 ,  G10L15/08 ,  G06F3/16

CPC classification number: G10L15/22 ,  G10L15/083 ,  G06F3/167 ,  G10L2015/223

Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.

公开(公告)号：US11783832B2

公开(公告)日：2023-10-10

申请号：US17552887

申请日：2021-12-16

Applicant: Google LLC

Inventor： Andrea Terwisscha van Scheltinga ,  Nicolo D'Ercole ,  Zaheed Sabur ,  Bibo Xu ,  Megan Knight ,  Alvin Abdagic ,  Jan Lamecki ,  Bo Zhang

IPC: G10L15/22 ,  G06F3/16 ,  G10L15/08

CPC classification number: G10L15/22 ,  G06F3/167 ,  G10L15/083 ,  G10L2015/223

Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.

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

IPC: G10L15/22 ,  G10L15/08

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).

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.

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

IPC: G10L15/22 ,  G10L15/08

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).

公开(公告)号：US11641535B2

公开(公告)日：2023-05-02

申请号：US17515837

申请日：2021-11-01

Applicant: Google LLC

Inventor： Andrea Terwisscha van Scheltinga ,  Zaheed Sabur ,  Michael Reutov ,  Pratik Gilda

IPC: H04Q3/00 ,  H04W36/00 ,  H04W76/15 ,  G06F3/16 ,  G10L15/22 ,  H04W8/20 ,  H04W36/24 ,  H04L67/50

Abstract: A first computing device may receive an indication of user input that is at least a part of a conversation between a user and a first assistant executing at the first computing device. The first assistant and/or an assistant executing at a digital assistant system may determine whether to handoff the conversation from the first assistant executing at the first computing device to a second assistant executing at a second computing device. In response to determining to handoff the conversation to the second assistant executing at the second computing device, the first assistant and/or the assistant executing at the digital assistant system may send to the second computing device a request to handoff the conversation which includes at least an indication of the conversation.

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

IPC: G10L15/22 ,  G01D21/02 ,  G06F3/16 ,  G10L15/06 ,  G10L15/18 ,  G10L15/183 ,  G10L25/78

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.

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

IPC: G10L15/22 ,  G06F3/16 ,  G10L15/18 ,  G10L15/30 ,  H04L29/08

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.

公开(公告)号：US11238868B2

公开(公告)日：2022-02-01

申请号：US16614224

申请日：2019-06-13

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

IPC: G10L15/22 ,  G10L15/26 ,  G06F3/16

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.

公开(公告)号：US11217247B2

公开(公告)日：2022-01-04

申请号：US16618920

申请日：2019-05-01

Applicant: Google LLC

Inventor： Andrea Terwisscha van Scheltinga ,  Nicolo D'Ercole ,  Zaheed Sabur ,  Bibo Xu ,  Megan Knight ,  Alvin Abdagic ,  Jan Lamecki ,  Bo Zhang

IPC: G10L15/22 ,  G06F3/16 ,  G10L15/08

Abstract: Determining whether, upon cessation of a second automated assistant session that interrupted and supplanted a prior first automated assistant session: (1) to automatically resume the prior first automated assistant session, or (2) to transition to an alternative automated assistant state in which the prior first session is not automatically resumed. Implementations further relate to selectively causing, based on the determining and upon cessation of the second automated assistant session, either the automatic resumption of the prior first automated assistant session that was interrupted, or the transition to the state in which the first session is not automatically resumed.