MULTI-FACTOR AUDIO WATERMARKING
    141.
    发明公开

    公开(公告)号:US20240021207A1

    公开(公告)日:2024-01-18

    申请号:US18373244

    申请日:2023-09-26

    Applicant: GOOGLE LLC

    CPC classification number: G10L17/22 G10L17/02 G10L17/06 G10L25/51

    Abstract: Techniques are described herein for multi-factor audio watermarking. A method includes: receiving audio data; processing the audio data to generate predicted output that indicates a probability of one or more hotwords being present in the audio data; determining that the predicted output satisfies a threshold that is indicative of the one or more hotwords being present in the audio data; in response to determining that the predicted output satisfies the threshold, processing the audio data using automatic speech recognition to generate a speech transcription feature; detecting a watermark that is embedded in the audio data; and in response to detecting the watermark: determining that the speech transcription feature corresponds to one of a plurality of stored speech transcription features; and in response to determining that the speech transcription feature corresponds to one of the plurality of stored speech transcription features, suppressing processing of a query included in the audio data.

    Group hotwords
    142.
    发明授权

    公开(公告)号:US11862155B2

    公开(公告)日:2024-01-02

    申请号:US17118687

    申请日:2020-12-11

    Applicant: Google LLC

    Abstract: A method includes a first assistant-enabled device (AED) receiving an assignment instruction assigning a group hotword to a selected group of AEDs that includes the first AED and one or more other AEDs. Each AED is configured to wake-up from a low-power state when the group hotword is detected in streaming audio by at least one of the AEDs. The method also includes receiving audio data that corresponds to an utterance spoken by the user and includes a query that specifies an operation to perform. In response to detecting the group hotword in the audio data, the method also includes triggering the first AED to wake-up from the low-power state and executing a collaboration routine to cause the first AED and each other AED in the selected group of AEDs to collaborate with one another to fulfill performance of the operation specified by the query.

    METHODS AND SYSTEMS FOR PRESENTING PRIVACY FRIENDLY QUERY ACTIVITY BASED ON ENVIRONMENTAL SIGNAL(S)

    公开(公告)号:US20230409640A1

    公开(公告)日:2023-12-21

    申请号:US18239727

    申请日:2023-08-29

    Applicant: GOOGLE LLC

    CPC classification number: G06F16/90335 G06F21/6245

    Abstract: Implementations are directed to receiving a search query from a user, obtaining environmental signal(s) associated with an environment in which the user is located when the search query is received, processing the environmental signal(s) to generate a privacy measure associated with submission of the search query, obtaining additional environmental signal(s) associated with the environment in which the user is located when user input directed to a search interface is received, processing the additional environmental signal(s) to generate an additional privacy measure associated with the user input, selecting, from a superset of historical search queries of the user, a subset of the historical search queries based on at least the privacy measure and the additional privacy measure, and causing the subset of the historical search queries to be presented to the user in response to receiving the user input directed to the search interface.

    Adaptive artificial neural network selection techniques

    公开(公告)号:US11847561B2

    公开(公告)日:2023-12-19

    申请号:US17105033

    申请日:2020-11-25

    Applicant: GOOGLE LLC

    Abstract: Computer-implemented techniques can include obtaining, by a client computing device, a digital media item and a request for a processing task on the digital item and determining a set of operating parameters based on (i) available computing resources at the client computing device and (ii) a condition of a network. Based on the set of operating parameters, the client computing device or a server computing device can select one of a plurality of artificial neural networks (ANNs), each ANN defining which portions of the processing task are to be performed by the client and server computing devices. The client and server computing devices can coordinate processing of the processing task according to the selected ANN. The client computing device can also obtain final processing results corresponding to a final evaluation of the processing task and generate an output based on the final processing results.

    Automated assistant for facilitating communications through dissimilar messaging features of different applications

    公开(公告)号:US11823680B2

    公开(公告)日:2023-11-21

    申请号:US18103333

    申请日:2023-01-30

    Applicant: Google LLC

    CPC classification number: G10L15/22 G10L15/1815 H04L51/56 G10L2015/223

    Abstract: Implementations relate to an automated assistant that can respond to communications received via a third party application and/or other third party communication modality. The automated assistant can determine that the user is participating in multiple different conversations via multiple different third party communication services. In some implementations, conversations can be processed to identify particular features of the conversations. When the automated assistant is invoked to provide input to a conversation, the automated assistant can compare the input to the identified conversation features in order to select the particular conversation that is most relevant to the input. In this way, the automated assistant can assist with any of multiple disparate conversations that are each occurring via a different third party application.

    Detecting and handling driving event sounds during a navigation session

    公开(公告)号:US11814062B2

    公开(公告)日:2023-11-14

    申请号:US17273673

    申请日:2020-11-18

    Applicant: GOOGLE LLC

    Abstract: To identify driving event sounds during navigation, a client device in a vehicle provides a set of navigation directions for traversing from a starting location to a destination location along a route. During navigation to the destination location, the client device identifies audio that includes a driving event sound from within the vehicle or an area surrounding the vehicle. In response to determining that the audio includes the driving event sound, the client device determines whether the driving event sound is artificial. In response to determining that the driving event sound is artificial, the client device presents a notification to the driver indicating that the driving event sound is artificial or masks the driving event sound to prevent the driver from hearing the driving event sound.

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