PAIRING USER HEADPHONES WITH A LOCATION-BASED AUTOMATED ASSISTANT

    公开(公告)号:US20240202265A1

    公开(公告)日:2024-06-20

    申请号:US18081372

    申请日:2022-12-14

    Applicant: GOOGLE LLC

    CPC classification number: G06F16/9537

    Abstract: Implementations described herein relate to pairing a location-based automated assistant with a user device. The user device can include, for example, a headphones apparatus and/or a device that is paired with the headphones apparatus. The user device provides an indication that it is present at a location that is associated with a location-based automated assistant. A trust measure is determined that is indicative of trust between the user device and the location-based automated assistant. User information is provided by the user device to the location-based automated assistant. The location-based automated assistant determines response data to provide, via one or more speakers associated with the user device, that is specific to the location and further based on the user information.

    Multi-User Warm Words
    244.
    发明公开

    公开(公告)号:US20240169995A1

    公开(公告)日:2024-05-23

    申请号:US18056697

    申请日:2022-11-17

    Applicant: Google LLC

    CPC classification number: G10L17/22

    Abstract: A method includes detecting a presence of multiple users within an environment of an assistant-enabled device (AED) and obtaining, for each user, a respective active set of warm words that each specify a respective action for a digital assistant to perform. Based on each respective active set of warm words, the method also includes executing a warm word arbitration routine to enable a final set of warm words for detection by the AED. Here, the final set of warm words includes warm words selected from the respective active set of warm words. While the final set of warm words are enabled, the method also includes receiving audio data corresponding to an utterance captured by the AED, detecting a warm word from the final set of warm words in the audio data, and instructing the digital assistant to perform the respective action specified by the detected warm word.

    Distilling to a target device based on observed query patterns

    公开(公告)号:US11990121B2

    公开(公告)日:2024-05-21

    申请号:US17644427

    申请日:2021-12-15

    Applicant: Google LLC

    Abstract: A method includes receiving user queries directed toward a cloud-based assistant service. For each received user query directed toward the cloud-based assistant service, the method also includes extracting one or more attributes from the user query and logging the user query into one or more of a plurality of category buckets based on the one or more attributes extracted from the user query. The method also includes determining when at least one of the plurality of category buckets includes a threshold number of the user queries logged into the at least one category bucket, and when the at least one of the plurality of category buckets includes the threshold number of the user queries, generating a distilled model of the cloud-based assistant service. The distilled model of the cloud-based assistant service is configured to execute on one or more target client devices.

    Short-Lived Repeat Voice Commands
    246.
    发明公开

    公开(公告)号:US20240161741A1

    公开(公告)日:2024-05-16

    申请号:US18055404

    申请日:2022-11-14

    Applicant: Google LLC

    CPC classification number: G10L15/22 G10L15/08 G10L2015/088 G10L2015/223

    Abstract: A method for detecting short-lived repeat voice commands includes activating a set of one or more warm words each associated with a respective action for controlling a long-standing operation performed by a digital assistant. While the digital assistant is performing the long-standing operation, the method includes receiving audio data, and detecting, in the audio data, a warm word from the activated set of one or more warm words. In response to detecting the warm word, the method includes performing the respective action associated with the detected warm word, and activating a set of one or more repeat warm words associated with the detected warm word. The method further includes receiving additional audio data, detecting, in the additional audio data, a repeat warm word from the activated set of one or more repeat warm words, and performing the respective action associated with the detected repeat warm word.

    Incognito mode for personalized machine-learned models

    公开(公告)号:US11983613B2

    公开(公告)日:2024-05-14

    申请号:US17545384

    申请日:2021-12-08

    Applicant: Google LLC

    CPC classification number: G06N20/00 G06F9/46 G06N5/022

    Abstract: The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a mode controller that allows a user to provide data input indicating whether to operate one or more applications on the device in a first collection mode (e.g., permission mode) for storing training examples or a second collection mode for (e.g., incognito mode) for not storing training examples. The training examples can be generated based on user interaction with the one or more applications and used to personalize one or more machine-learned models used by the application(s) by retraining the models using the user-specific training examples.

    Interactive voice navigation
    249.
    发明授权

    公开(公告)号:US11946762B2

    公开(公告)日:2024-04-02

    申请号:US17251244

    申请日:2020-08-12

    Applicant: Google LLC

    Abstract: The present disclosure is directed to interactive voice navigation. In particular, a computing system can provide audio information including one or more navigation instructions to a user via a computing system associated with the user. The computing system can activate an audio sensor associated with the computing system. The computing system can collect, using the audio sensor, audio data associated with the user. The computing system can determine, based on the audio data, whether the audio data is associated with one or more navigation instructions. The computing system can, in accordance with a determination that the audio data is associated with one or more navigation instructions, determine a context-appropriate audio response. The computing system can provide the context-appropriate audio response to the user.

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