Automated assistants that accommodate multiple age groups and/or vocabulary levels

    公开(公告)号:US11756537B2

    公开(公告)日:2023-09-12

    申请号:US17962636

    申请日:2022-10-10

    Applicant: GOOGLE LLC

    CPC classification number: G10L15/1815 G10L15/19 G10L15/22 G10L2015/223

    Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected age range and/or “vocabulary level” of a user who is engaging with the automated assistant. In various implementations, data indicative of a user's utterance may be used to estimate one or more of the user's age range and/or vocabulary level. The estimated age range/vocabulary level may be used to influence various aspects of a data processing pipeline employed by an automated assistant. In various implementations, aspects of the data processing pipeline that may be influenced by the user's age range/vocabulary level may include one or more of automated assistant invocation, speech-to-text (“STT”) processing, intent matching, intent resolution (or fulfillment), natural language generation, and/or text-to-speech (“TTS”) processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects, such as grammatical tolerances, vocabularic tolerances, etc., may be adjusted.

    Collaborative voice controlled devices

    公开(公告)号:US11521618B2

    公开(公告)日:2022-12-06

    申请号:US16716654

    申请日:2019-12-17

    Applicant: Google LLC

    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.

    Automated assistants that accommodate multiple age groups and/or vocabulary levels

    公开(公告)号:US11495217B2

    公开(公告)日:2022-11-08

    申请号:US16728582

    申请日:2019-12-27

    Applicant: Google LLC

    Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected age range and/or “vocabulary level” of a user who is engaging with the automated assistant. In various implementations, data indicative of a user's utterance may be used to estimate one or more of the user's age range and/or vocabulary level. The estimated age range/vocabulary level may be used to influence various aspects of a data processing pipeline employed by an automated assistant. In various implementations, aspects of the data processing pipeline that may be influenced by the user's age range/vocabulary level may include one or more of automated assistant invocation, speech-to-text (“STT”) processing, intent matching, intent resolution (or fulfillment), natural language generation, and/or text-to-speech (“TTS”) processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects, such as grammatical tolerances, vocabularic tolerances, etc., may be adjusted.

    CONTEXTUAL ESTIMATION OF LINK INFORMATION GAIN

    公开(公告)号:US20220245182A1

    公开(公告)日:2022-08-04

    申请号:US17727237

    申请日:2022-04-22

    Applicant: GOOGLE LLC

    Abstract: Techniques are described herein for determining an information gain score for one or more documents of interest to the user and present information from the documents based on the information gain score. An information gain score for a given document is indicative of additional information that is included in the document beyond information contained in documents that were previously viewed by the user. In some implementations, the information gain score may be determined for one or more documents by applying data from the documents across a machine learning model to generate an information gain score. Based on the information gain scores of a set of documents, the documents can be provided to the user in a manner that reflects the likely information gain that can be attained by the user if the user were to view the documents.

    Contextual estimation of link information gain

    公开(公告)号:US11354342B2

    公开(公告)日:2022-06-07

    申请号:US16608628

    申请日:2018-10-18

    Applicant: Google LLC

    Abstract: Techniques are described herein for determining an information gain score for one or more documents of interest to the user and present information from the documents based on the information gain score. An information gain score for a given document is indicative of additional information that is included in the document beyond information contained in documents that were previously viewed by the user. In some implementations, the information gain score may be determined for one or more documents by applying data from the documents across a machine learning model to generate an information gain score. Based on the information gain scores of a set of documents, the documents can be provided to the user in a manner that reflects the likely information gain that can be attained by the user if the user were to view the documents.

    AUTOMATED ASSISTANTS THAT ACCOMMODATE MULTIPLE AGE GROUPS AND/OR VOCABULARY LEVELS

    公开(公告)号:US20190325864A1

    公开(公告)日:2019-10-24

    申请号:US15954174

    申请日:2018-04-16

    Applicant: Google LLC

    Abstract: Techniques are described herein for enabling an automated assistant to adjust its behavior depending on a detected age range and/or “vocabulary level” of a user who is engaging with the automated assistant. In various implementations, data indicative of a user's utterance may be used to estimate one or more of the user's age range and/or vocabulary level. The estimated age range/vocabulary level may be used to influence various aspects of a data processing pipeline employed by an automated assistant. In various implementations, aspects of the data processing pipeline that may be influenced by the user's age range/vocabulary level may include one or more of automated assistant invocation, speech-to-text (“STT”) processing, intent matching, intent resolution (or fulfillment), natural language generation, and/or text-to-speech (“TTS”) processing. In some implementations, one or more tolerance thresholds associated with one or more of these aspects, such as grammatical tolerances, vocabularic tolerances, etc., may be adjusted.

    Multi-step sequence alignment
    28.
    发明授权

    公开(公告)号:US10452891B2

    公开(公告)日:2019-10-22

    申请号:US15966713

    申请日:2018-04-30

    Applicant: Google LLC

    Abstract: A method of identifying similar media items is described. The method include identifying a first multiplicity of fingerprints representative of content segments of variable duration for a first media item and a second multiplicity of fingerprints representative of content segments of variable duration for a second media item. The method further includes comparing, by a processing device, a first group of the first multiplicity of fingerprints to a second group of the second multiplicity of fingerprints to generate a first similarity score indicative of a similarity between the first group of fingerprints and the second group of fingerprints. The method also includes determining an alignment score for the first multiplicity of fingerprints and the second multiplicity of fingerprints using the first similarity score.

    MULTI-STEP SEQUENCE ALIGNMENT
    29.
    发明申请

    公开(公告)号:US20180247104A1

    公开(公告)日:2018-08-30

    申请号:US15966713

    申请日:2018-04-30

    Applicant: Google LLC

    Abstract: A method of identifying similar media items is described. The method include identifying a first multiplicity of fingerprints representative of content segments of variable duration for a first media item and a second multiplicity of fingerprints representative of content segments of variable duration for a second media item. The method further includes comparing, by a processing device, a first group of the first multiplicity of fingerprints to a second group of the second multiplicity of fingerprints to generate a first similarity score indicative of a similarity between the first group of fingerprints and the second group of fingerprints. The method also includes determining an alignment score for the first multiplicity of fingerprints and the second multiplicity of fingerprints using the first similarity score.

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