公开(公告)号：US20190026338A1

公开(公告)日：2019-01-24

申请号：US16140779

申请日：2018-09-25

Applicant: Google LLC

Inventor： Behshad Behzadi

IPC: G06F17/30

CPC classification number: G06F16/2455 ,  G06F16/248 ,  G06F16/9535

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a series of queries provided from a user device, the series of queries including two or more queries, obtaining a query pattern of the series of queries based on one or more entities and one or more aspects associated with the two or more queries, and determining, at least partially based on the query pattern, that a teachable moment interface is to be displayed with search results, and in response, transmitting content to be displayed in the teachable moment interface on a computing device.

公开(公告)号：US10185746B2

公开(公告)日：2019-01-22

申请号：US14831296

申请日：2015-08-20

Applicant: Google LLC

Inventor： Nils Grimsmo ,  Behshad Behzadi ,  Fredrik Bergenlid

IPC: G06F17/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a query provided from a user device, and determining that the query implicitly references some entity, and in response: obtaining an approximate location and an approximate orientation of the user device, obtaining a set of entities including one or more entities, each entity in the set of entities being at least partially within a range that is based on the approximate location and that includes an extended portion based on the approximate orientation, selecting an entity from the set of entities, and providing a revised query based on the query and the entity, the revised query explicitly referencing the entity.

公开(公告)号：US10120903B2

公开(公告)日：2018-11-06

申请号：US14884032

申请日：2015-10-15

Applicant: Google LLC

Inventor： Behshad Behzadi

IPC: G06F17/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a series of queries provided from a user device, the series of queries including two or more queries, obtaining a query pattern of the series of queries based on one or more entities and one or more aspects associated with the two or more queries, and determining, at least partially based on the query pattern, that a teachable moment interface is to be displayed with search results, and in response, transmitting content to be displayed in the teachable moment interface on a computing device.

公开(公告)号：US10026398B2

公开(公告)日：2018-07-17

申请号：US15205505

申请日：2016-07-08

Applicant: Google LLC

Inventor： Behshad Behzadi ,  Dmitry Osmakov ,  Martin Baeuml ,  Gleb Skobeltsyn

IPC: G10L15/183 ,  G06F17/30 ,  G10L15/14 ,  G10L15/02 ,  G10L15/26 ,  G10L15/18

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting follow-up queries to an initial transcription of an utterance. In some implementations, one or more follow-up queries that are pre-associated with a transcription of an initial utterance of a user are identified. A new or modified language model in which a respective probability associated with one or more of the follow-up queries is increased with respect to an initial language model is obtained. Subsequent audio data corresponding to a subsequent utterance of the user is then received. The subsequent audio data is processed using the new or modified language model to generate a transcription of the subsequent utterance. The transcription of the subsequent utterance is then provided for output to the user.

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

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

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.

公开(公告)号：US12106758B2

公开(公告)日：2024-10-01

申请号：US17322765

申请日：2021-05-17

Applicant: GOOGLE LLC

Inventor： Victor Carbune ,  Alvin Abdagic ,  Behshad Behzadi ,  Jacopo Sannazzaro Natta ,  Julia Proskurnia ,  Krzysztof Andrzej Goj ,  Srikanth Pandiri ,  Viesturs Zarins ,  Nicolo D'Ercole ,  Zaheed Sabur ,  Luv Kothari

IPC: G06F3/01 ,  G06F3/0488 ,  G06N20/00 ,  G10L15/18 ,  G10L15/22 ,  G10L15/26

CPC classification number: G10L15/26 ,  G06F3/0488 ,  G06N20/00 ,  G10L15/18 ,  G10L15/22 ,  G10L2015/223

Abstract: Systems and methods described herein relate to determining whether to incorporate recognized text, that corresponds to a spoken utterance of a user of a client device, into a transcription displayed at the client device, or to cause an assistant command, that is associated with the transcription and that is based on the recognized text, to be performed by an automated assistant implemented by the client device. The spoken utterance is received during a dictation session between the user and the automated assistant. Implementations can process, using automatic speech recognition model(s), audio data that captures the spoken utterance to generate the recognized text. Further, implementations can determine whether to incorporate the recognized text into the transcription or cause the assistant command to be performed based on touch input being directed to the transcription, a state of the transcription, and/or audio-based characteristic(s) of the spoken utterance.

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

IPC: G10L15/22 ,  G10L15/08

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.

公开(公告)号：US12033637B2

公开(公告)日：2024-07-09

申请号：US17337804

申请日：2021-06-03

Applicant: GOOGLE LLC

Inventor： Victor Carbune ,  Krishna Sapkota ,  Behshad Behzadi ,  Julia Proskurnia ,  Jacopo Sannazzaro Natta ,  Justin Lu ,  Magali Boizot-Roche ,  Márius {hacek over (S)}ajgalík ,  Nicolo D'Ercole ,  Zaheed Sabur ,  Luv Kothari

IPC: G10L15/26 ,  G10L15/22

CPC classification number: G10L15/26 ,  G10L15/22 ,  G10L2015/223

Abstract: Implementations described herein relate to an application and/or automated assistant that can identify arrangement operations to perform for arranging text during speech-to-text operations—without a user having to expressly identify the arrangement operations. In some instances, a user that is dictating a document (e.g., an email, a text message, etc.) can provide a spoken utterance to an application in order to incorporate textual content. However, in some of these instances, certain corresponding arrangements are needed for the textual content in the document. The textual content that is derived from the spoken utterance can be arranged by the application based on an intent, vocalization features, and/or contextual features associated with the spoken utterance and/or a type of the application associated with the document, without the user expressly identifying the corresponding arrangements. In this way, the application can infer content arrangement operations from a spoken utterance that only specifies the textual content.

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

IPC: G06F3/16 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  H04L67/01 ,  H04L67/568 ,  H04N23/60

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：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

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

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.