公开(公告)号：US12254886B2

公开(公告)日：2025-03-18

申请号：US18590549

申请日：2024-02-28

Applicant: GOOGLE LLC

Inventor： Akshay Goel ,  Nitin Khandelwal ,  Richard Park ,  Brian Chatham ,  Jonathan Eccles ,  David Sanchez ,  Dmytro Lapchuk

IPC: G10L15/32 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

Abstract: Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation. In additional or alternative implementations, an independent third-party agent can obtain the first-party interpretation(s) and the third-party interpretation(s), select the given interpretation, and then transmit the given interpretation to the automated assistant and/or the given third-party agent.

公开(公告)号：US12244568B2

公开(公告)日：2025-03-04

申请号：US17893728

申请日：2022-08-23

Applicant: GOOGLE LLC

Inventor： Akshay Goel ,  Jonathan Eccles ,  Nitin Khandelwal ,  Sarvjeet Singh ,  David Sanchez ,  Ashwin Ram

IPC: H04L9/40

Abstract: Implementations described herein utilize an independent server for facilitating secure exchange of data between multiple disparate parties. The independent server receives client data, via an automated assistant application executing at least in part at a client device, that is to be transmitted to a given third-party application. The independent server processes the client data, using a first encoder-decoder model, to generate opaque client data, and transmits the opaque client data to the given third-party application and without transmitting any of the client data. Further, the independent server receives response data, via the given third-party application, that is generated based on the opaque client data and that is to be transmitted back to the client device. The independent server processes the response data, using a second encoder-decoder model, to generate opaque response data, and transmits the opaque response data to the client device and without transmitting any of the response data.

公开(公告)号：US20240031339A1

公开(公告)日：2024-01-25

申请号：US17893728

申请日：2022-08-23

Applicant: GOOGLE LLC

Inventor： Akshay Goel ,  Jonathan Eccles ,  Nitin Khandelwal ,  Sarvjeet Singh ,  David Sanchez ,  Ashwin Ram

IPC: H04L9/40

CPC classification number: H04L63/04 ,  H04L63/0853

Abstract: Implementations described herein utilize an independent server for facilitating secure exchange of data between multiple disparate parties. The independent server receives client data, via an automated assistant application executing at least in part at a client device, that is to be transmitted to a given third-party application. The independent server processes the client data, using a first encoder-decoder model, to generate opaque client data, and transmits the opaque client data to the given third-party application and without transmitting any of the client data. Further, the independent server receives response data, via the given third-party application, that is generated based on the opaque client data and that is to be transmitted back to the client device. The independent server processes the response data, using a second encoder-decoder model, to generate opaque response data, and transmits the opaque response data to the client device and without transmitting any of the response data.

公开(公告)号：US20230062201A1

公开(公告)日：2023-03-02

申请号：US17537104

申请日：2021-11-29

Applicant: GOOGLE LLC

Inventor： Akshay Goel ,  Nitin Khandelwal ,  Richard Park ,  Brian Chatham ,  Jonathan Eccles ,  David Sanchez ,  Dmytro Lapchuk

IPC: G10L15/32 ,  G10L15/18 ,  G10L15/30 ,  G10L15/22

Abstract: Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation. In additional or alternative implementations, an independent third-party agent can obtain the first-party interpretation(s) and the third-party interpretation(s), select the given interpretation, and then transmit the given interpretation to the automated assistant and/or the given third-party agent.

公开(公告)号：US20240203423A1

公开(公告)日：2024-06-20

申请号：US18590549

申请日：2024-02-28

Applicant: GOOGLE LLC

Inventor： Akshay Goel ,  Nitin Khandelwal ,  Richard Park ,  Brian Chatham ,  Jonathan Eccles ,  David Sanchez ,  Dmytro Lapchuk

IPC: G10L15/32 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

CPC classification number: G10L15/32 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

Abstract: Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation. In additional or alternative implementations, an independent third-party agent can obtain the first-party interpretation(s) and the third-party interpretation(s), select the given interpretation, and then transmit the given interpretation to the automated assistant and/or the given third-party agent.

公开(公告)号：US11948580B2

公开(公告)日：2024-04-02

申请号：US17537104

申请日：2021-11-29

Applicant: GOOGLE LLC

Inventor： Akshay Goel ,  Nitin Khandelwal ,  Richard Park ,  Brian Chatham ,  Jonathan Eccles ,  David Sanchez ,  Dmytro Lapchuk

IPC: G10L15/32 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

CPC classification number: G10L15/32 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

Abstract: Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation. In additional or alternative implementations, an independent third-party agent can obtain the first-party interpretation(s) and the third-party interpretation(s), select the given interpretation, and then transmit the given interpretation to the automated assistant and/or the given third-party agent.