METHOD, APPARATUS AND DEVICE FOR TRAINING NETWORK AND STORAGE MEDIUM

    公开(公告)号:US20210312910A1

    公开(公告)日:2021-10-07

    申请号:US17353758

    申请日:2021-06-21

    Inventor: Li CHEN Saisai ZOU

    Abstract: Embodiments of the present disclosure disclose a method, apparatus and device for training a network, and a storage medium, relate to the field of artificial intelligence technology such as deep learning and speech analysis. A semantic prediction network comprises: an encoder network and at least one decoder network; and a particular solution is: acquiring a first speech feature of a target speech sample; the target speech sample being a synthesized speech sample or a real speech sample, the synthesized speech sample being attached with a sample syllable label and a semantic label comprising a value of the domain, and the real speech sample being attached with a sample syllable label; and jointly training an initial semantic prediction network and a syllable classification network using the first speech feature of the target speech sample, to obtain a trained semantic prediction network.

    SPEECH CONTROL METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20210319795A1

    公开(公告)日:2021-10-14

    申请号:US17357598

    申请日:2021-06-24

    Abstract: The disclosure provides a speech control method, a speech control apparatus, an electronic device, and a storage medium. The method includes: acquiring target audio data sent by a client, the target audio data including audio data collected by the client within a target duration before wake-up and audio data collected by the client after wake-up; performing speech recognition on the target audio data; and controlling the client based on an instruction recognized from a second audio segment of the target audio data in response to recognizing a wake-up word from a first audio segment at beginning of the target audio data; in which, the second audio segment is later than the first audio segment or has an overlapping portion with the first audio segment.

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