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    METHODS OF TRAINING DEEP LEARNING MODEL AND PREDICTING CLASS AND ELECTRONIC DEVICE FOR PERFORMING THE METHODS
    4.
    发明公开
    METHODS OF TRAINING DEEP LEARNING MODEL AND PREDICTING CLASS AND ELECTRONIC DEVICE FOR PERFORMING THE METHODS 审中-公开

    公开(公告)号：US20230177331A1

    公开(公告)日：2023-06-08

    申请号：US18060405

    申请日：2022-11-30

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Young Ho JEONG ,  Soo Young PARK ,  Tae Jin LEE

    IPC: G06N3/08

    CPC classification number: G06N3/08

    Abstract: Disclosed are methods of training a deep learning model and predicting a class and an electronic device for performing the methods. A method of training a deep learning model may include identifying training data labeled for each class, determining whether to augment the training data based on overall recognition performance indicating prediction accuracy of the deep learning model calculated in a previous epoch, augmenting the training data based on class-specific recognition performance indicating class-specific prediction accuracy of the deep learning model calculated in the previous epoch, predicting a class by inputting the training data or the training data that is augmented to the deep learning model according to a determination of whether to augment the training data, and training the deep learning model based on a labeled class and the predicted class.

    METHOD OF TRAINING SOUND RECOGNITION MODEL, METHOD OF RECOGNIZING SOUND, AND ELECTRONIC DEVICE FOR PERFORMING THE METHODS
    8.
    发明公开
    METHOD OF TRAINING SOUND RECOGNITION MODEL, METHOD OF RECOGNIZING SOUND, AND ELECTRONIC DEVICE FOR PERFORMING THE METHODS 审中-公开

    公开(公告)号：US20230214647A1

    公开(公告)日：2023-07-06

    申请号：US17869242

    申请日：2022-07-20

    Applicant: Electronics and Telecommunications Research Institute

    Inventor： Soo Young PARK ,  Tae Jin LEE ,  Young Ho JEONG

    IPC: G06N3/08 ,  G10L25/51

    CPC classification number: G06N3/08 ,  G10L25/51

    Abstract: Provided are a method of recognizing sound, a method of training a sound recognition model, and an electronic device performing the same methods. A method of training a sound recognition model according to an example embodiment may include converting training data labeled with a sound class into a feature vector, storing the feature vector in a feature queue, transferring the feature vector stored in the feature queue to a block queue according to an operation of a feature vector transfer timer, inputting the feature vector of the block queue into a sound recognition model trained to predict the sound class and storing an output result in a result queue, transferring the feature vector stored in the feature queue corresponding to timing at which the result is output to the block queue by the feature vector transfer timer when the result is output.

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