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

IPC: G10L15/22 ,  G06F3/16 ,  G10L15/08 ,  G10L15/18 ,  G10L15/28

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.

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

IPC: G10L15/22 ,  G06F3/16 ,  G10L15/08 ,  G10L15/18 ,  G10L15/28

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.

公开(公告)号：US11763813B2

公开(公告)日：2023-09-19

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

IPC: G10L15/22 ,  G06F3/16 ,  G10L15/08 ,  G10L15/18 ,  G10L15/28

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.

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

IPC: G10L15/22 ,  G06F3/16 ,  G10L15/08 ,  G10L15/18 ,  G10L15/28

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.

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

IPC: G10L15/22 ,  G10L15/28 ,  G10L15/18 ,  G10L15/08 ,  G06F3/16

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.