METHOD AND APPARATUS FOR TRAINING VOICE WAKE-UP MODEL, METHOD AND APPARATUS FOR VOICE WAKE-UP, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230317060A1

    公开(公告)日:2023-10-05

    申请号:US18328135

    申请日:2023-06-02

    CPC classification number: G10L15/063 G10L15/02

    Abstract: The present disclosure provides a method and an apparatus for training a voice wake-up model, a method and an apparatus for voice wake-up, a device and a storage medium, which relates to the field of artificial intelligence and particularly to the field of deep learning and voice technology. A specific implementation lies in: acquiring voice recognition training data and voice wake-up training data that are created, and firstly performing training on a base model according to the voice recognition training data to obtain a model parameter of the base model when a model loss function converges; then updating, based on a model configuration instruction, a configuration parameter of a decoding module in the base model to obtain a first model; and finally performing training on the first model according to the voice wake-up training data to obtain a trained voice wake-up model when the model loss function converges.

    METHOD AND APPARATUS FOR DETERMINING ECHO, AND STORAGE MEDIUM

    公开(公告)号:US20230096150A1

    公开(公告)日:2023-03-30

    申请号:US18061151

    申请日:2022-12-02

    Abstract: A method and an apparatus for determining an echo, and a storage medium. The implementation solution includes: obtaining an echo estimation result by performing echo estimation on an original audio signal; obtaining an optimization processing result by performing optimization processing on the echo estimation result, the optimization processing includes at least one of amplitude dimension optimization processing, phase dimension optimization processing, or time domain dimension optimization processing; and determining an echo of the original audio signal using the optimization processing result.

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