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公开(公告)号:US10559309B2
公开(公告)日:2020-02-11
申请号:US15387884
申请日:2016-12-22
Applicant: Google LLC
Inventor: Victor Carbune , Pedro Gonnet Anders , Thomas Deselaers , Sandro Feuz
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboration between multiple voice controlled devices are disclosed. In one aspect, a method includes the actions of identifying, by a first computing device, a second computing device that is configured to respond to a particular, predefined hotword; receiving audio data that corresponds to an utterance; receiving a transcription of additional audio data outputted by the second computing device in response to the utterance; based on the transcription of the additional audio data and based on the utterance, generating a transcription that corresponds to a response to the additional audio data; and providing, for output, the transcription that corresponds to the response.
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公开(公告)号:US10522150B2
公开(公告)日:2019-12-31
申请号:US15387884
申请日:2016-12-22
Applicant: Google LLC
Inventor: Victor Carbune , Pedro Gonnet Anders , Thomas Deselaers , Sandro Feuz
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboration between multiple voice controlled devices are disclosed. In one aspect, a method includes the actions of identifying, by a first computing device, a second computing device that is configured to respond to a particular, predefined hotword; receiving audio data that corresponds to an utterance; receiving a transcription of additional audio data outputted by the second computing device in response to the utterance; based on the transcription of the additional audio data and based on the utterance, generating a transcription that corresponds to a response to the additional audio data; and providing, for output, the transcription that corresponds to the response.
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公开(公告)号:US20190182261A1
公开(公告)日:2019-06-13
申请号:US16063128
申请日:2017-12-08
Applicant: Google LLC
Inventor: Victor Carbune , Thomas Deselaers , Sandro Feuz
Abstract: The present disclosure is generally directed to a data processing system for customizing content in a voice activated computer network environment. With user consent, the data processing system can improve the efficiency and effectiveness of auditory data packet transmission over one or more computer networks by, for example, increasing the accuracy of the voice identification process used in the generation of customized content. The present solution can make accurate identifications while generating fewer audio identification models, which are computationally intensive to generate.
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44.
公开(公告)号:US12263910B2
公开(公告)日:2025-04-01
申请号:US18378080
申请日:2023-10-09
Applicant: GOOGLE LLC
Inventor: Sandro Feuz , Thomas Deselaers
Abstract: Implementations set forth herein relate to generating a pre-call analysis for one or more users that are receiving and/or initializing a call with one or more other users, and/or prioritizing pre-call content according to whether security-related value was gleaned from provisioning certain pre-call content. One or more machine learning models can be employed for determining the pre-call content to be cached and/or presented prior to a user accepting a call from another user. Feedback provided before, during, and/or after the call can be used as a basis from which to prioritize certain content and/or sources of content when generating pre-call content for a subsequent call. Other information, such as contextual data (e.g., calendar entries, available peripheral devices, location, etc.) corresponding to the previous call and/or the subsequent call, can also be used as a basis from which to provide a pre-call analysis.
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公开(公告)号:US12190064B2
公开(公告)日:2025-01-07
申请号:US18217351
申请日:2023-06-30
Applicant: GOOGLE LLC
Inventor: Sebastian Millius , Sandro Feuz
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.
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公开(公告)号:US20240070478A1
公开(公告)日:2024-02-29
申请号:US18387394
申请日:2023-11-06
Applicant: GOOGLE LLC
Inventor: Victor Carbune , Sandro Feuz
IPC: G06N5/02 , G06F40/205 , G06F40/295 , G06F40/35 , H04L51/046
CPC classification number: G06N5/02 , G06F40/205 , G06F40/295 , G06F40/35 , H04L51/046
Abstract: Techniques and a framework are described herein for constructing and/or updating, e.g., on top of a general-purpose knowledge graph, an “event-specific provisional knowledge graph.” In various implementations, live data stream(s) may be analyzed to identify entity(s) associated with a developing event. The entity(s) may form part of a general-purpose knowledge graph that includes entity nodes and edges between the entity nodes. Based on the identified one or more entities, an event-specific provisional knowledge graph may be constructed or updated in association with the developing event. In some implementations, the event-specific provisional knowledge graph may be queried for new information about the developing event. Computing devices may be caused to render, as output, the new information.
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47.
公开(公告)号:US11831804B2
公开(公告)日:2023-11-28
申请号:US17340768
申请日:2021-06-07
Applicant: GOOGLE LLC
Inventor: Sandro Feuz , Thomas Deselaers
CPC classification number: H04M3/4365 , G06F3/017 , G06N20/00 , H04M3/42042 , H04M2203/25
Abstract: Implementations set forth herein relate to generating a pre-call analysis for one or more users that are receiving and/or initializing a call with one or more other users, and/or prioritizing pre-call content according to whether security-related value was gleaned from provisioning certain pre-call content. One or more machine learning models can be employed for determining the pre-call content to be cached and/or presented prior to a user accepting a call from another user. Feedback provided before, during, and/or after the call can be used as a basis from which to prioritize certain content and/or sources of content when generating pre-call content for a subsequent call. Other information, such as contextual data (e.g., calendar entries, available peripheral devices, location, etc.) corresponding to the previous call and/or the subsequent call, can also be used as a basis from which to provide a pre-call analysis.
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公开(公告)号:US11822695B2
公开(公告)日:2023-11-21
申请号:US17893989
申请日:2022-08-23
Applicant: GOOGLE LLC
Inventor: Sandro Feuz , Sammy El Ghazzal
IPC: G06F21/62 , G06F16/33 , G10L15/18 , G10L15/22 , G10L15/30 , H04L51/02 , H04L67/306 , G06F40/279 , H04L9/40 , H04L67/52
CPC classification number: G06F21/6245 , G06F16/3344 , G06F40/279 , G10L15/1815 , G10L15/22 , G10L15/30 , H04L51/02 , H04L63/101 , H04L63/102 , H04L67/306 , H04L67/52
Abstract: Automated assistant responses may be assembled and/or evaluated to address privacy concerns. In various implementations, a free-form natural language input may be received from a first user and may include a request for information pertaining to a second user. Multiple data sources may be identified that are accessible by an automated assistant to retrieve data associated with the second user. The multiple data sources may collectively include sufficient data to formulate a natural language response to the request. Respective privacy scores associated with the multiple data sources may be used to determine an aggregate privacy score associated with responding to the request. The natural language response may then be output at a client device operated by the first user in response to a determination that the aggregate privacy score associated with the natural language response satisfies a privacy criterion established for the second user with respect to the first user.
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公开(公告)号:US20230342554A1
公开(公告)日:2023-10-26
申请号:US18217351
申请日:2023-06-30
Applicant: GOOGLE LLC
Inventor: Sebastian Millius , Sandro Feuz
IPC: G06F40/30
CPC classification number: G06F40/30 , G10L15/1815
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.
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公开(公告)号:US11734515B2
公开(公告)日:2023-08-22
申请号:US17492863
申请日:2021-10-04
Applicant: GOOGLE LLC
Inventor: Sebastian Millius , Sandro Feuz
CPC classification number: G06F40/30 , G10L15/1815 , G10L15/22 , G10L2015/223
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for announcing and detecting automated conversation are disclosed. One of the methods includes initiating, over a natural language communication channel, a conversation with a communication participant using a natural language communication method that includes a dialogue of natural language communications. The communication participant is determined to be automated using a pre-defined adaptive interactive protocol that specifies natural language linguistic transformations defined in a sequence. The conversation can be transitioned to a communication method that is different form the natural language communication method in response to determining that the communication participant is automated.
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