Rendering responses to a spoken utterance of a user utilizing a local text-response map

    公开(公告)号:US10891958B2

    公开(公告)日:2021-01-12

    申请号:US16609403

    申请日:2018-06-27

    Applicant: Google LLC

    Abstract: Implementations disclosed herein relate to generating and/or utilizing, by a client device, a text-response map that is stored locally on the client device. The text-response map can include a plurality of mappings, where each of the mappings define a corresponding direct relationship between corresponding text and a corresponding response. Each of the mappings is defined in the text-response map based on the corresponding text being previously generated from previous audio data captured by the client device and based on the corresponding response being previously received from a remote system in response to transmitting, to the remote system, at least one of the previous audio data and the corresponding text.

    Dynamically updatable offline grammar model for resource-constrained offline device

    公开(公告)号:US10521476B2

    公开(公告)日:2019-12-31

    申请号:US15888049

    申请日:2018-02-04

    Applicant: Google LLC

    Abstract: An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements to parse voice-based queries received by the device. The offline grammar model may be generated from a larger and more comprehensive grammar model used by an online voice-based query processor, and the generation of the offline grammar model may be based upon query usage data collected from one or more users to enable a subset of more popular voice-based queries from the online grammar model to be incorporated into the offline grammar model. In addition, such a device may collect query usage data and upload such data to an online service to enable an updated offline grammar model to be generated and downloaded back to the device and thereby enable a dynamic update of the offline grammar model to be performed.

    Context-sensitive dynamic update of voice to text model in a voice-enabled electronic device

    公开(公告)号:US11087762B2

    公开(公告)日:2021-08-10

    申请号:US16665309

    申请日:2019-10-28

    Applicant: Google LLC

    Abstract: A voice to text model used by a voice-enabled electronic device is dynamically and in a context-sensitive manner updated to facilitate recognition of entities that potentially may be spoken by a user in a voice input directed to the voice-enabled electronic device. The dynamic update to the voice to text model may be performed, for example, based upon processing of a first portion of a voice input, e.g., based upon detection of a particular type of voice action, and may be targeted to facilitate the recognition of entities that may occur in a later portion of the same voice input, e.g., entities that are particularly relevant to one or more parameters associated with a detected type of voice action.

    RENDERING RESPONSES TO A SPOKEN UTTERANCE OF A USER UTILIZING A LOCAL TEXT-RESPONSE MAP

    公开(公告)号:US20210097999A1

    公开(公告)日:2021-04-01

    申请号:US17118463

    申请日:2020-12-10

    Applicant: Google LLC

    Abstract: Implementations disclosed herein relate to generating and/or utilizing, by a client device, a text-response map that is stored locally on the client device. The text-response map can include a plurality of mappings, where each of the mappings define a corresponding direct relationship between corresponding text and a corresponding response. Each of the mappings is defined in the text-response map based on the corresponding text being previously generated from previous audio data captured by the client device and based on the corresponding response being previously received from a remote system in response to transmitting, to the remote system, at least one of the previous audio data and the corresponding text.

    RENDERING RESPONSES TO A SPOKEN UTTERANCE OF A USER UTILIZING A LOCAL TEXT-RESPONSE MAP

    公开(公告)号:US20200342862A1

    公开(公告)日:2020-10-29

    申请号:US16609403

    申请日:2018-06-27

    Applicant: Google LLC

    Abstract: Implementations disclosed herein relate to generating and/or utilizing, by a client device, a text-response map that is stored locally on the client device. The text-response map can include a plurality of mappings, where each of the mappings define a corresponding direct relationship between corresponding text and a corresponding response. Each of the mappings is defined in the text-response map based on the corresponding text being previously generated from previous audio data captured by the client device and based on the corresponding response being previously received from a remote system in response to transmitting, to the remote system, at least one of the previous audio data and the corresponding text.

    CONTEXT-SENSITIVE DYNAMIC UPDATE OF VOICE TO TEXT MODEL IN A VOICE-ENABLED ELECTRONIC DEVICE

    公开(公告)号:US20200058304A1

    公开(公告)日:2020-02-20

    申请号:US16665309

    申请日:2019-10-28

    Applicant: Google LLC

    Abstract: A voice to text model used by a voice-enabled electronic device is dynamically and in a context-sensitive manner updated to facilitate recognition of entities that potentially may be spoken by a user in a voice input directed to the voice-enabled electronic device. The dynamic update to the voice to text model may be performed, for example, based upon processing of a first portion of a voice input, e.g., based upon detection of a particular type of voice action, and may be targeted to facilitate the recognition of entities that may occur in a later portion of the same voice input, e.g., entities that are particularly relevant to one or more parameters associated with a detected type of voice action.

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