Query correction based on reattempts learning

    公开(公告)号:US12038954B2

    公开(公告)日:2024-07-16

    申请号:US17218963

    申请日:2021-03-31

    Abstract: Systems and methods are described to access a set of reattempt query pairs, where each respective pair comprises an initial query and a reattempt of the initial query, and is associated with an indication of whether a reply generated for output based on the respective query pair was acceptable. In response to determining that a second query received after a first query constitutes a reattempt of the first query, a query pair in the set of reattempt query pairs may be identified that matches at least one of the first query and the second query, and is associated with an indication that a reply generated for output based on the query pair was acceptable. A search may be performed based on the identified query pair in the set of reattempt query pairs, and a reply may be generated for output based on the performed search.

    Systems and methods for providing voice command recommendations

    公开(公告)号:US12027169B2

    公开(公告)日:2024-07-02

    申请号:US18139771

    申请日:2023-04-26

    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 interpreting natural language search queries using training data

    公开(公告)号:US11914561B2

    公开(公告)日:2024-02-27

    申请号:US16807419

    申请日:2020-03-03

    CPC classification number: G06F16/2228 G06F16/243 G06F16/2455

    Abstract: A frequency of occurrence for each term in a training data set is determined in relation to the entire training data set. A relational data structure is generated that associates each term in the training data with its respective frequency. Any term that has a frequency below a threshold frequency is then added to a list of relevant words. When a natural language search query is received, a plurality of terms in the natural language search query are identified and compared with the list of relevant words. If any term of the natural language search query is included in the relevant words list, that term is identified as a keyword. The natural language search query is then interpreted based on any identified keywords.

    SOURCE-BASED SOUND QUALITY ADJUSTMENT TOOL
    120.
    发明公开

    公开(公告)号:US20230367543A1

    公开(公告)日:2023-11-16

    申请号:US18227519

    申请日:2023-07-28

    CPC classification number: G06F3/165 G06F3/167 G06F3/162 H04N7/15

    Abstract: Systems and methods for adjusting a sound level during a conference call are disclosed herein. Conferencing application receives an audio input including a first sound and a second sound. A user selectable element is generated for each sound in an user interface, where a user selection setting a first user selectable element associated with the first sound at a user-specified level is received. The sound level for the first sound is adjusted based on the user selection and output at the user-specified level while the second sound is output at a default sound level.

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