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    METHOD AND DEVICE WITH TRAINING DATABASE CONSTRUCTION
    1.
    发明公开
    METHOD AND DEVICE WITH TRAINING DATABASE CONSTRUCTION 审中-公开

    公开(公告)号：US20240086684A1

    公开(公告)日：2024-03-14

    申请号：US18467457

    申请日：2023-09-14

    Applicant: Samsung Electronics Co., Ltd. ,  NEW YORK UNIVERSITY

    Inventor： Ki Soo KWON ,  Kyunghyun CHO ,  Hoshik LEE

    IPC: G06N3/0455 ,  G06F16/23

    CPC classification number: G06N3/0455 ,  G06F16/2365

    Abstract: An electronic device includes one or more processors and a memory storing instructions configured to, when executed by the one or more processors, cause the one or more processors to: implement a machine learning-based conditional generative model configured to reconstruct target data from latent vectors, the conditional generative model trained based on an existing data set for a target task; determine an extrapolation weight; generate an augmented latent vector and augmented condition data by extrapolating, based on the extrapolation weight, from a latent vector corresponding to the existing dataset and from existing condition data corresponding to the existing dataset; and generate a new dataset comprising augmented target data generated by the conditional generative model based on the augmented condition data and based on the augmented latent vector.

    APPARATUS AND METHOD WITH MODEL TRAINING
    2.
    发明申请
    APPARATUS AND METHOD WITH MODEL TRAINING 有权

    公开(公告)号：US20210110273A1

    公开(公告)日：2021-04-15

    申请号：US16844534

    申请日：2020-04-09

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Ki Soo KWON ,  Hoshik LEE

    IPC: G06N3/08 ,  G06F17/18 ,  G06N3/04

    Abstract: A processor-implemented model training method and apparatus are provided. The method calculates an entropy of each of a plurality of previously trained models based on training data, selects a previously trained model from the plurality of previously trained models based on the calculated entropy, and trains a target model, distinguished from the plurality of previously trained models, based on the training data and the selected previously trained model.

    SPEECH RECOGNIZING METHOD AND APPARATUS
    4.
    发明申请
    SPEECH RECOGNIZING METHOD AND APPARATUS 审中-公开

    公开(公告)号：US20180190268A1

    公开(公告)日：2018-07-05

    申请号：US15808324

    申请日：2017-11-09

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hoshik LEE ,  Hwidong NA

    IPC: G10L15/16 ,  G10L21/038 ,  G10L15/02 ,  G10L17/00 ,  G10L15/22

    Abstract: A speech recognizing method and apparatus is provided. A speech recognizing method, implementing a speech recognizing model neural network for recognition of a speech, includes determining an attention weight based on an output value output by at least one layer of the speech recognizing model neural network at a previous time of the recognition of the speech, applying the determined attention weight to a speech signal corresponding to a current time of the recognition of the speech, and recognizing the speech signal to which the attention weight is applied, using the speech recognizing model neural network.

    METHOD AND DEVICE WITH CLASSIFICATION VERIFICATION
    6.
    发明申请
    METHOD AND DEVICE WITH CLASSIFICATION VERIFICATION 有权

    公开(公告)号：US20210406688A1

    公开(公告)日：2021-12-30

    申请号：US17469590

    申请日：2021-09-08

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Seongmin OK ,  Young-Seok KIM ,  Hwidong NA ,  Sanghyun YOO ,  Hoshik LEE ,  Junhwi CHOI

    IPC: G06N3/08 ,  G06N3/04 ,  G06K9/62

    Abstract: A method and computing device with classification verification is provided. A processor-implemented method includes implementing a classification neural network to generate a classification result of data input to the classification neural network by generating, with respect to the input data, intermediate hidden values of one or more hidden layers of the classification neural network, generating the classification result of the input data based on the generated intermediate hidden values, and generating a determination of a reliability of the classification result by implementing a verification neural network, input the intermediate hidden values, to generate the determination of the reliability.

    METHOD AND APPARATUS FOR RECOGNIZING SPEECH
    8.
    发明申请
    METHOD AND APPARATUS FOR RECOGNIZING SPEECH 审中-公开

    公开(公告)号：US20180166075A1

    公开(公告)日：2018-06-14

    申请号：US15585334

    申请日：2017-05-03

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hodong LEE ,  Hoshik LEE

    IPC: G10L15/22 ,  G10L15/18 ,  G10L15/02

    CPC classification number: G10L15/02 ,  G10L15/20

    Abstract: A method performed by a speech recognizing apparatus to recognize speech includes: obtaining a distance from the speech recognizing apparatus to a user generating a speech signal; determining a normalization value for the speech signal based on the distance; normalizing a feature vector extracted from the speech signal based on the normalization value; and performing speech recognition based on the normalized feature vector.

    DEVICE AND METHOD WITH INPUT
    10.
    发明申请
    DEVICE AND METHOD WITH INPUT 有权

    公开(公告)号：US20210043201A1

    公开(公告)日：2021-02-11

    申请号：US16715089

    申请日：2019-12-16

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Sangsoo LEE ,  Hoshik LEE ,  Junhwi CHOI

    IPC: G10L15/22 ,  H04M1/725 ,  G06T7/70 ,  G06F3/16 ,  G10L15/18

    Abstract: A processor-implemented electronic device input method includes: identifying input items configured to receive information on a displayed screen, by performing either one or both of a layout analysis and an image analysis with respect to the screen; tagging one of the input items with a text token extracted from a speech recognition result of a speech signal; and inputting the tagged text token into the one of the input items.

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