METHODS FOR NATURAL LANGUAGE MODEL TRAINING IN NATURAL LANGUAGE UNDERSTANDING (NLU) SYSTEMS

    公开(公告)号:US20210271819A1

    公开(公告)日:2021-09-02

    申请号:US16805358

    申请日:2020-02-28

    Abstract: Systems and methods for training a classifier binary model of a natural language understanding (NLU) system are disclosed herein. A determination is made as to whether a text string, with a content entity, includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. The model is trained based on a determination of at least one of: an absence of an obsequious expression in response to determining the obsequious expression describes the content entity; a presence of an obsequious expression in response to determining the obsequious expression describes the content entity; an absence of an obsequious expression in response to determining the obsequious expression does not describe the content entity, and a presence of an obsequious expression in response to determining the obsequious expression does not describe the content entity.

    Word correction using automatic speech recognition (ASR) incremental response

    公开(公告)号:US11107475B2

    公开(公告)日:2021-08-31

    申请号:US16408260

    申请日:2019-05-09

    Abstract: An exemplary automatic speech recognition (ASR) system may receive an audio input including a segment of speech. The segment of speech may be independently processed by general ASR and domain-specific ASR to generate multiple ASR results. A selection between the multiple ASR results may be performed based on respective confidence levels for the general ASR and domain-specific ASR. As incremental ASR is performed, a composite result may be generated based on general ASR and domain-specific ASR.

    SYSTEMS AND METHODS FOR GENERATING DYNAMIC ANNOTATIONS

    公开(公告)号:US20240430527A1

    公开(公告)日:2024-12-26

    申请号:US18822856

    申请日:2024-09-03

    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 PROVIDING VOICE COMMAND RECOMMENDATIONS

    公开(公告)号:US20240321275A1

    公开(公告)日:2024-09-26

    申请号:US18731541

    申请日:2024-06-03

    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 to publish new content

    公开(公告)号:US12079265B2

    公开(公告)日:2024-09-03

    申请号:US17487868

    申请日:2021-09-28

    CPC classification number: G06F16/45 G06F17/18

    Abstract: Systems and methods for calculating the virality of a content item are disclosed herein. First data is collected relating to a first content item and second data is collected relating to a second content item. The first and second data are used to plot a continuous probability distribution and using the continuous probability distribution, a virality score is calculated for a third content item. In response to the virality score being greater than a first threshold, the third content item is classified as likely to be viral and the third content item is queued for auto-publishing.

    SYSTEMS AND METHODS FOR AVOIDING INADVERTENTLY TRIGGERING A VOICE ASSISTANT

    公开(公告)号:US20240282308A1

    公开(公告)日:2024-08-22

    申请号:US18652078

    申请日:2024-05-01

    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 PHONETIC-BASED NATURAL LANGUAGE UNDERSTANDING

    公开(公告)号:US20240249718A1

    公开(公告)日:2024-07-25

    申请号:US18423556

    申请日:2024-01-26

    Abstract: Systems and methods are described for modifying a phonetic search index based on a use frequency associated with phonetic representations of text terms included in metadata of a media item. A first phonetic representation of a text term of the metadata, pronounced as a word, may be generated. A second phonetic representation of the text term may be generated by concatenating a phonetic representation of each letter in the text term. A database may be queried to determine use frequencies of the first and second phonetic representations, one of which may be selected based on a comparison of the use frequencies. A phonetic search index may be modified by including an entry for the selected phonetic representation. A voice query related to the media item may be received, and a reply to the voice query may be generated for output by performing a lookup in the modified phonetic search index.

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