METHOD FOR GENERATING PERSONALIZED HRTF
    66.
    发明公开

    公开(公告)号:US20240354565A1

    公开(公告)日:2024-10-24

    申请号:US18434417

    申请日:2024-02-06

    CPC classification number: G06N3/08

    Abstract: The present disclosure relates to a method for generating a personalized HRTF using a neural network model having a one-to-many structure. A method for generating a personalized HRTF according to an embodiment of the present disclosure includes: training a neural network model using multi-angle Head-Related Transfer Functions (HRTF) labeled to body information of a learning object; and obtaining multi-angle HRTFs at a time by inputting body information of a target user into the trained neural network model.

    KNOWLEDGE DISTILLATION METHOD FOR COMPRESSING TRANSFORMER NEURAL NETWORK AND APPARATUS THEREOF

    公开(公告)号:US20240330648A1

    公开(公告)日:2024-10-03

    申请号:US18596994

    申请日:2024-03-06

    CPC classification number: G06N3/042 G06N3/082 G06N3/096

    Abstract: A method for training a student network including at least one or more of a transformer neural network by using knowledge distillation in a teacher network including at least one or more of the transformer neural network is disclosed. The method includes: pre-training the teacher network using a training data and fine tuning the trained teacher network; copying a weight parameter of a bottom layer of the teacher network to the student network; and performing the knowledge distillation to the student network through the fine-tuned teacher network. The performing the knowledge distillation includes: extracting a feature structure from the result value of a layer of the fine-tuned teacher network; extracting a feature structure from the result value of a layer of the student network; and adjusting the feature structure of the extracted student network based on the feature structure of the extracted teacher network.

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