METHODS AND SYSTEMS FOR RESPONDING TO A NATURAL LANGUAGE QUERY

    公开(公告)号:US20230197067A1

    公开(公告)日:2023-06-22

    申请号:US17556585

    申请日:2021-12-20

    CPC classification number: G10L15/1822 G10L15/22 G06F40/295 G10L2015/223

    Abstract: Systems and methods are provided for responding to a natural language query, e.g., a first natural language query. A first natural language understanding model is used to process the natural language query. A confidence level, e.g., a first confidence level, of the understanding of the natural language query is determined. In response to the confidence level being below a confidence level threshold, the natural language query is reprocessed using a reprocessing module. A response to the first natural language query is generated based on the processing of the natural language query by the first natural language understanding model and the reprocessing of the natural language query.

    METHODS AND SYSTEMS FOR RESPONDING TO A NATURAL LANGUAGE QUERY

    公开(公告)号:US20230196033A1

    公开(公告)日:2023-06-22

    申请号:US17556571

    申请日:2021-12-20

    CPC classification number: G06F40/42

    Abstract: Systems and methods are provided herein for training a natural language understanding model. A natural language query, e.g., a first natural language query, is received. A first natural language understanding model is used to process the natural language query. A confidence level, e.g., a first confidence level, of the understanding of the natural language query is determined. In response to the confidence level being below a confidence level threshold, the natural language query is reprocessed using a reprocessing module, e.g., after providing a response to the natural language query. The first natural language model is updated based on the reprocessing of the natural language query.

    SYSTEMS AND METHODS FOR INTERPRETING NATURAL LANGUAGE SEARCH QUERIES

    公开(公告)号:US20230169960A1

    公开(公告)日:2023-06-01

    申请号:US18072954

    申请日:2022-12-01

    CPC classification number: G10L15/18 G06F16/243 G10L15/26

    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 TO PUBLISH NEW CONTENT

    公开(公告)号:US20230095935A1

    公开(公告)日:2023-03-30

    申请号:US17487873

    申请日:2021-09-28

    Abstract: Systems and methods publishing content are disclosed herein. A content item for publication on a multimedia platform is received, and a first plurality of users within a first radius are detected. The content item is published to the first plurality of users and first data of the interaction of the first plurality of users with the content item is collected. Thereafter, an engagement score based on the first data is calculated. In response to the engagement score being above a first threshold, a second plurality of users within a second radius is detected, wherein the second radius is larger than the first radius and publishing the content item to the second plurality of users.

    Enhancing signature word detection in voice assistants

    公开(公告)号:US11587564B2

    公开(公告)日:2023-02-21

    申请号:US16853326

    申请日:2020-04-20

    Abstract: Systems and methods detecting a spoken sentence in a speech recognition system are disclosed herein. Speech data is buffered based on an audio signal captured at a computing device operating in an active mode. The speech data is buffered irrespective of whether the speech data comprises a signature word. The buffered speech data is processed to detect a presence of the sentence comprising at least one command and a query for the computing device. Processing the buffered speech data includes detecting the signature word in the buffered speech data, and in response to detecting the signature word in the speech data, initiating detection of the sentence in the buffered speech data.

    SYSTEMS AND METHODS FOR MULTI-AGENT CONVERSATIONS

    公开(公告)号:US20230053267A1

    公开(公告)日:2023-02-16

    申请号:US17399867

    申请日:2021-08-11

    Abstract: A first input is received from a user input device. Based on the first input, a list of candidate intents is generated, and a plurality of agents is initialized. Each agent of the plurality of agents corresponds to a respective candidate intent. Each agent then provides a different response to the first input in accordance with its respective corresponding intent. A second input is then received that responds to one or more of the agents. Based on the agents to which the second input is responsive, the list of candidate intents is refined and, based on the refined list, one or more agents are deactivated.

    SYSTEMS AND METHODS FOR GENERATING A DYNAMIC LIST OF HINT WORDS FOR AUTOMATED SPEECH RECOGNITION

    公开(公告)号:US20230030830A1

    公开(公告)日:2023-02-02

    申请号:US17389836

    申请日:2021-07-30

    Abstract: Systems and methods are provided for determining hint words that improve the accuracy of automated speech recognition (ASR) systems. Hint words are typically determined in the context of a user issuing voice commands in connection with a voice interface system, however, a voice interface system may capture terms from overheard content and/or conversations. A system may determine a sliding window of hint words using set of qualifier rules. The system may capture audio, e.g., from a conversation or played back content, as a first input and decipher a plurality of words including a qualifying first term added to the hint words. The voice interface system may capture more audio as a second input and decipher a second plurality of words including a qualifying second term. The first term may be removed from the set of hint words, e.g., when the second term is added or after an expiration time.

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