Adaptive biometric authentication
    121.
    发明授权

    公开(公告)号:US11809546B2

    公开(公告)日:2023-11-07

    申请号:US17188504

    申请日:2021-03-01

    CPC classification number: G06F21/45 G06F21/32

    Abstract: Systems and methods are presented for adaptive biometric authentication. According to one example method, a failure of a first type of biometric authentication is detected. In response to detecting the failure of the first type of biometric authentication, an alternative type of authentication is completed. In response to completing the alternative type of authentication, a biometric characteristic of a biometric signature is selectively modified in a stored user profile for processing a subsequent attempt of the first type of biometric authentication.

    SYSTEMS AND METHODS FOR DETERMINING TRAITS BASED ON VOICE ANALYSIS

    公开(公告)号:US20230306969A1

    公开(公告)日:2023-09-28

    申请号:US18203214

    申请日:2023-05-30

    CPC classification number: G10L17/06 G10L17/26 G10L17/04 G10L17/18

    Abstract: Systems and methods are provided herein for determining one or more traits of a speaker based on voice analysis to present content item to the speaker. In one example, the method receives a voice query and determines whether the voice query matches within a first confidence threshold of a speaker identification (ID) among a plurality of speaker IDs stored in a speaker profile. In response to determining that the voice query matches to the speaker ID within the first confidence threshold, the method bypasses a trait prediction engine and retrieves a trait among the plurality of traits in the speaker profile associated with the matched speaker ID. The method further provides a content item based on the retrieved trait.

    SYSTEMS AND METHODS FOR AVOIDING INADVERTENTLY TRIGGERING A VOICE ASSISTANT

    公开(公告)号:US20230252986A1

    公开(公告)日:2023-08-10

    申请号:US17984394

    申请日:2022-11-10

    CPC classification number: G10L15/22 G10L25/18 G10L25/60 G10L2015/223

    Abstract: Systems and methods are provided herein for avoiding inadvertently trigging a voice assistant with audio played through a speaker. An audio signal is captured by sampling a microphone of the voice assistant at a sampling frequency that is higher than an expected finite sampling frequency of previously recorded audio played through the speaker to generate a voice data sample. A quality metric of the generated voice data sample is calculated by determining whether the generated voice data sample comprises artifacts resulting from previous compression or approximation by the expected finite sampling frequency. Based on the calculated quality metric, it is determined whether the captured audio signal is previously recorded audio played through the speaker. Responsive to the determination that the captured audio signal is previously recorded audio played through the speaker, the voice assistant refrains from being activated.

    Systems and methods for providing voice command recommendations

    公开(公告)号:US11676586B2

    公开(公告)日:2023-06-13

    申请号:US16709734

    申请日:2019-12-10

    Abstract: The system provides a voice command recommendation to a user to avoid a non-voice command. The system determines a command that is expected to be received, and generates a voice command recommendation that corresponds to the predicted command. The predicted command can be based on the user's behavior, a plurality of users' behavior, environmental circumstances such as a phone call ring, or a combination thereof. The system may access one or more databases to determine the predicted command. The voice command recommendation may include a displayed notification that describes the recommended voice command, and exemplary voice inputs that are recognized. The system also activates an audio interface, such as a microphone, that is configured to receive a voice input. If the system receives a recognizable voice input at the audio interface that corresponds to the recommendation, the system performs the predicted command in response to receiving the voice input.

    Systems and methods for generating dynamic annotations

    公开(公告)号:US11606613B2

    公开(公告)日:2023-03-14

    申请号:US16803740

    申请日:2020-02-27

    Abstract: A system for managing media content annotations is configured to generate annotations having a format similar to a title and tailored to a user profile. The system identifies a media content item and identifies a user entity. The system selects from among a plurality of annotations linked to the media content item and stored in metadata. For example, the system may generate more than one annotation, generate links between each annotation and user profile information, and then select among the annotations for the most appropriate annotation for a given user. The annotation may include keywords or entities that are included in, linked to, or otherwise associated with the user profile information. The system outputs, or generates for output, a display that includes a representation of the media content item and the selected annotation.

    Systems and methods for interpreting natural language search queries

    公开(公告)号:US11594213B2

    公开(公告)日:2023-02-28

    申请号:US16807415

    申请日:2020-03-03

    Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term is associated with a respective part of speech, and a frequency of occurrence of each term in content metadata is determined. A relevance of each term is then determined based on its respective part of speech and frequency. The natural language search query is then interpreted based on the importance or relevance of each term.

    Systems and methods for avoiding inadvertently triggering a voice assistant

    公开(公告)号:US11527245B2

    公开(公告)日:2022-12-13

    申请号:US16861643

    申请日:2020-04-29

    Abstract: Systems and methods are provided herein for avoiding inadvertently trigging a voice assistant with audio played through a speaker. An audio signal is captured by sampling a microphone of the voice assistant at a sampling frequency that is higher than an expected finite sampling frequency of previously recorded audio played through the speaker to generate a voice data sample. A quality metric of the generated voice data sample is calculated by determining whether the generated voice data sample comprises artifacts resulting from previous compression or approximation by the expected finite sampling frequency. Based on the calculated quality metric, it is determined whether the captured audio signal is previously recorded audio played through the speaker. Responsive to the determination that the captured audio signal is previously recorded audio played through the speaker, the voice assistant refrains from being activated.

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