METHOD FOR GENERATING PERSONALIZED HRTF
    5.
    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.

    APPARATUS AND METHOD FOR IMPROVING IMAGE QUALITY USING JAMES-STEIN COMBINER

    公开(公告)号:US20240233085A9

    公开(公告)日:2024-07-11

    申请号:US18376891

    申请日:2023-10-05

    Abstract: The present disclosure relates to an apparatus and method for improving image quality by combining an unbiased image and a biased image using a James-Stein combiner. An apparatus for improving image quality using a James-Stein combiner according to the present disclosure includes an unbiased image buffer configured to output an unbiased image block, a biased image buffer configured to output a biased image block, a sample variance buffer configured to output a sample variance of the unbiased image, an artificial neural network model configured to derive a variance weight per pixel, a variance estimator configured to output a variance estimate of the unbiased image block, and a James-Stein combiner configured to locally combine the biased image block, the unbiased image block, and the variance estimate of the unbiased image block by applying a James-Stein combination equation.

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