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    Machine learning for interpretation of subvocalizations
    24.
    发明授权
    Machine learning for interpretation of subvocalizations 有权

    公开(公告)号：US11580978B2

    公开(公告)日：2023-02-14

    申请号：US17103345

    申请日：2020-11-24

    Applicant: Google LLC

    Inventor： Yaroslav Volovich ,  Ant Oztaskent ,  Blaise Aguera-Arcas

    IPC: G10L15/22 ,  G10L15/18 ,  H04R1/08 ,  H04R1/10

    Abstract: Provided is an in-ear device and associated computational support system that leverages machine learning to interpret sensor data descriptive of one or more in-ear phenomena during subvocalization by the user. An electronic device can receive sensor data generated by at least one sensor at least partially positioned within an ear of a user, wherein the sensor data was generated by the at least one sensor concurrently with the user subvocalizing a subvocalized utterance. The electronic device can then process the sensor data with a machine-learned subvocalization interpretation model to generate an interpretation of the subvocalized utterance as an output of the machine-learned subvocalization interpretation model.

    METHODS, SYSTEMS, AND MEDIA FOR DETECTING THE PRESENCE OF A DIGITAL MEDIA DEVICE ON A NETWORK
    26.
    发明申请
    METHODS, SYSTEMS, AND MEDIA FOR DETECTING THE PRESENCE OF A DIGITAL MEDIA DEVICE ON A NETWORK 有权

    公开(公告)号：US20220393961A1

    公开(公告)日：2022-12-08

    申请号：US17882994

    申请日：2022-08-08

    Applicant: Google LLC

    Inventor： Ant Oztaskent ,  Yaroslav Volovich

    IPC: H04L43/10 ,  H04L41/12 ,  H04L12/28 ,  H04L67/51

    Abstract: Methods, systems, and media for detecting the presence of a digital media device on a network are provided. In some embodiments, methods for detecting a presence of a particular type of digital media device is provided, the methods comprising: identifying cached device details for devices previously associated with the network; performing a simple device discovery protocol (SSDP) on the network, and substantially concurrently sending a unicast message to an address associated with the identified cached digital media device using hypertext transfer protocol (HTTP); and indicating the presence of a digital media device on the network in response to either (i) receiving a response to the unicast message, or (ii) determining that a type of a device discovered using SSDP is the same as the particular device type.

    ADAPTING SEARCH QUERY PROCESSING ACCORDING TO LOCALLY DETECTED VIDEO CONTENT CONSUMPTION
    28.
    发明申请
    ADAPTING SEARCH QUERY PROCESSING ACCORDING TO LOCALLY DETECTED VIDEO CONTENT CONSUMPTION 有权

    公开(公告)号：US20220116682A1

    公开(公告)日：2022-04-14

    申请号：US17555686

    申请日：2021-12-20

    Applicant: Google LLC

    Inventor： Ant Oztaskent ,  Yaroslav Volovich ,  Ingrid McAulay Trollope

    IPC: H04N21/442 ,  H04N21/439 ,  G06F16/432 ,  G06F16/783 ,  H04N21/422 ,  H04N21/4722

    Abstract: A process adapts user-initiated search queries. The process executes at a client device with a microphone. The process downloads audio fingerprints from a remote server for a plurality of video programs, and downloads information that correlates the audio fingerprint to the video programs. The audio fingerprints are preselected according to relevancy criteria, including stored user preferences and prior search queries by the user. The audio fingerprints and correlating information are stored locally. The process detects ambient sound using the microphone and computes one or more sample audio fingerprints from the detected ambient sound. The process matches a sample audio fingerprint to a locally stored audio fingerprint and uses the correlating information to identify a first video program corresponding to the matched sample audio fingerprint. The process then receives user input to initiate a search query. The process provides auto-complete suggestions for the search query based on the first video program.

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