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公开(公告)号：US20240169989A1
公开(公告)日：2024-05-23
申请号：US18430253
申请日：2024-02-01
Applicant: GOOGLE LLC
Inventor： April Pufahl , Jared Strawderman , Harry Yu , Adriana Olmos Antillon , Jonathan Livni , Okan Kolak , James Giangola , Nitin Khandelwal , Jason Kearns , Andrew Watson , Joseph Ashear , Valerie Nygaard
CPC classification number: G10L15/22 , G06F1/1694 , G06F3/167 , G06F2203/0381 , G10L2015/223 , G10L2015/225 , H04M2203/253
Abstract: Systems, methods, and apparatus for using a multimodal response in the dynamic generation of client device output that is tailored to a current modality of a client device is disclosed herein. Multimodal client devices can engage in a variety of interactions across the multimodal spectrum including voice only interactions, voice forward interactions, multimodal interactions, visual forward interactions, visual only interactions etc. A multimodal response can include a core message to be rendered for all interaction types as well as one or more modality dependent components to provide a user with additional information.
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公开(公告)号：US20230410803A1
公开(公告)日：2023-12-21
申请号：US18228948
申请日：2023-08-01
Applicant: GOOGLE LLC
Inventor： Lior Alon , Rafael Goldfarb , Dekel Auster , Dan Rasin , Michael Andrew Goodman , Trevor Strohman , Nino Tasca , Valerie Nygaard , Jaclyn Konzelmann
CPC classification number: G10L15/22 , G06F3/167 , G10L2015/223 , G10L15/1815 , G10L15/285 , G10L15/083
Abstract: Implementations described herein relate to reducing latency in automated assistant interactions. In some implementations, a client device can receive audio data that captures a spoken utterance of a user. The audio data can be processed to determine an assistant command to be performed by an automated assistant. The assistant command can be processed, using a latency prediction model, to generate a predicted latency to fulfill the assistant command. Further, the client device (or the automated assistant) can determine, based on the predicted latency, whether to audibly render pre-cached content for presentation to the user prior to audibly rendering content that is responsive to the spoken utterance. The pre-cached content can be tailored to the assistant command and audibly rendered for presentation to the user while the content is being obtained, and the content can be audibly rendered for presentation to the user subsequent to the pre-cached content.
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公开(公告)号：US20230162735A1
公开(公告)日：2023-05-25
申请号：US18100446
申请日：2023-01-23
Applicant: GOOGLE LLC
Inventor： Ulas Kirazci , Bo Wang , Steve Chen , Sunil Vemuri , Barnaby James , Valerie Nygaard
CPC classification number: G10L15/22 , G06F3/167 , G06F16/9535 , G06F40/30 , G10L15/1815 , G10L15/1822 , G10L15/30 , G10L2015/223
Abstract: Some implementations are directed to selective invocation of a particular third-party (3P) agent by an automated assistant to achieve an intended action determined by the automated assistant during a dynamic dialog between the automated assistant and a user. In some of those implementations, the particular 3P agent is invoked with value(s) for parameter(s) that are determined during the dynamic dialog; and/or the particular 3P agent is selected, from a plurality of candidate 3P agents, for invocation based on the determined value(s) for the parameter(s) and/or based on other criteria. In some of those implementations, the automated assistant invokes the particular 3P agent by transmitting, to the particular 3P agent, a 3P invocation request that includes the determined value(s) for the parameter(s).
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公开(公告)号：US20210134294A1
公开(公告)日：2021-05-06
申请号：US17150139
申请日：2021-01-15
Applicant: Google LLC
Inventor： Ulas Kirazci , Bo Wang , Steve Chen , Sunil Vemuri , Barnaby James , Valerie Nygaard
Abstract: Some implementations are directed to selective invocation of a particular third-party (3P) agent by an automated assistant to achieve an intended action determined by the automated assistant during a dynamic dialog between the automated assistant and a user. In some of those implementations, the particular 3P agent is invoked with value(s) for parameter(s) that are determined during the dynamic dialog; and/or the particular 3P agent is selected, from a plurality of candidate 3P agents, for invocation based on the determined value(s) for the parameter(s) and/or based on other criteria. In some of those implementations, the automated assistant invokes the particular 3P agent by transmitting, to the particular 3P agent, a 3P invocation request that includes the determined value(s) for the parameter(s).
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公开(公告)号：US20190272817A1
公开(公告)日：2019-09-05
申请号：US16417024
申请日：2019-05-20
Applicant: Google LLC
Inventor： Valerie Nygaard , Bogdan Caprita , Robert Stets , Saisuresh Krishnakumaran , Jason Brant Douglas
IPC: G10L13/04 , G06F16/951 , G10L15/26 , G06F3/16
Abstract: An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; selecting, based on the utterance, an agent from a plurality of agents, wherein the plurality of agents includes one or more first party agents and a plurality of third-party agents; responsive to determining that the selected agent comprises a first party agent, selecting a reserved voice from a plurality of voices; and outputting synthesized audio data using the selected voice to satisfy the utterance.
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Patent Agency Ranking
公开(公告)号：US12051416B2
公开(公告)日：2024-07-30
申请号：US18228948
申请日：2023-08-01
Applicant: GOOGLE LLC
Inventor： Lior Alon , Rafael Goldfarb , Dekel Auster , Dan Rasin , Michael Andrew Goodman , Trevor Strohman , Nino Tasca , Valerie Nygaard , Jaclyn Konzelmann
CPC classification number: G10L15/22 , G06F3/167 , G10L15/083 , G10L15/1815 , G10L15/285 , G10L2015/223
Abstract: Implementations described herein relate to reducing latency in automated assistant interactions. In some implementations, a client device can receive audio data that captures a spoken utterance of a user. The audio data can be processed to determine an assistant command to be performed by an automated assistant. The assistant command can be processed, using a latency prediction model, to generate a predicted latency to fulfill the assistant command. Further, the client device (or the automated assistant) can determine, based on the predicted latency, whether to audibly render pre-cached content for presentation to the user prior to audibly rendering content that is responsive to the spoken utterance. The pre-cached content can be tailored to the assistant command and audibly rendered for presentation to the user while the content is being obtained, and the content can be audibly rendered for presentation to the user subsequent to the pre-cached content.
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公开(公告)号：US20220351720A1
公开(公告)日：2022-11-03
申请号：US17243232
申请日：2021-04-28
Applicant: Google LLC
Inventor： Lior Alon , Rafael Goldfarb , Dekel Auster , Dan Rasin , Michael Andrew Goodman , Trevor Strohman , Nino Tasca , Valerie Nygaard , Jaclyn Konzelmann
Abstract: Implementations described herein relate to reducing latency in automated assistant interactions. In some implementations, a client device can receive audio data that captures a spoken utterance of a user. The audio data can be processed to determine an assistant command to be performed by an automated assistant. The assistant command can be processed, using a latency prediction model, to generate a predicted latency to fulfill the assistant command. Further, the client device (or the automated assistant) can determine, based on the predicted latency, whether to audibly render pre-cached content for presentation to the user prior to audibly rendering content that is responsive to the spoken utterance. The pre-cached content can be tailored to the assistant command and audibly rendered for presentation to the user while the content is being obtained, and the content can be audibly rendered for presentation to the user subsequent to the pre-cached content.
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公开(公告)号：US20190147878A1
公开(公告)日：2019-05-16
申请号：US16244780
申请日：2019-01-10
Applicant: Google LLC
Inventor： Ulas Kirazci , Bo Wang , Steve Chen , Sunil Vemuri , Barnaby James , Valerie Nygaard
Abstract: Some implementations are directed to selective invocation of a particular third-party (3P) agent by an automated assistant to achieve an intended action determined by the automated assistant during a dynamic dialog between the automated assistant and a user. In some of those implementations, the particular 3P agent is invoked with value(s) for parameter(s) that are determined during the dynamic dialog; and/or the particular 3P agent is selected, from a plurality of candidate 3P agents, for invocation based on the determined value(s) for the parameter(s) and/or based on other criteria. In some of those implementations, the automated assistant invokes the particular 3P agent by transmitting, to the particular 3P agent, a 3P invocation request that includes the determined value(s) for the parameter(s).
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公开(公告)号：US20180096675A1
公开(公告)日：2018-04-05
申请号：US15815375
申请日：2017-11-16
Applicant: Google LLC
Inventor： Valerie Nygaard , Bogdan Caprita , Robert Stets , Saisuresh Krishnakumaran , Jason Brant Douglas
CPC classification number: G10L13/043 , G06F3/167 , G06F17/30864 , G10L13/04 , G10L13/08 , G10L15/26
Abstract: An example method includes receiving, by a computational assistant executing at one or more processors, a representation of an utterance spoken at a computing device; selecting, based on the utterance, an agent from a plurality of agents, wherein the plurality of agents includes one or more first party agents and a plurality of third-party agents; responsive to determining that the selected agent comprises a first party agent, selecting a reserved voice from a plurality of voices; and outputting synthesized audio data using the selected voice to satisfy the utterance.
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公开(公告)号：US20240331699A1
公开(公告)日：2024-10-03
申请号：US18742612
申请日：2024-06-13
Applicant: GOOGLE LLC
Inventor： Lior Alon , Rafael Goldfarb , Dekel Auster , Dan Rasin , Michael Andrew Goodman , Trevor Strohman , Nino Tasca , Valerie Nygaard , Jaclyn Konzelmann
CPC classification number: G10L15/22 , G06F3/167 , G10L15/083 , G10L15/1815 , G10L15/285 , G10L2015/223
Abstract: Implementations described herein relate to reducing latency in automated assistant interactions. In some implementations, a client device can receive audio data that captures a spoken utterance of a user. The audio data can be processed to determine an assistant command to be performed by an automated assistant. The assistant command can be processed, using a latency prediction model, to generate a predicted latency to fulfill the assistant command. Further, the client device (or the automated assistant) can determine, based on the predicted latency, whether to audibly render pre-cached content for presentation to the user prior to audibly rendering content that is responsive to the spoken utterance. The pre-cached content can be tailored to the assistant command and audibly rendered for presentation to the user while the content is being obtained, and the content can be audibly rendered for presentation to the user subsequent to the pre-cached content.
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