Dialogue Model Training Method and Device Therefor

    公开(公告)号:US20230080930A1

    公开(公告)日:2023-03-16

    申请号:US17807653

    申请日:2022-06-17

    Abstract: Disclosed is a method of training a dialogue model in an electronic device, the method including selecting a first context from a first dialogue data set including at least one pair of a context and a response corresponding to the context, generating a first response corresponding to the first context through a first dialogue model, generating an augmented dialogue dataset by incorporating a pair of the first context and the first response corresponding to the first context into the first dialogue data set, and training a second dialogue model based on the augmented dialogue dataset.

    Keyword spotting apparatus, method, and computer-readable recording medium thereof

    公开(公告)号:US11854536B2

    公开(公告)日:2023-12-26

    申请号:US17013391

    申请日:2020-09-04

    CPC classification number: G10L15/16 G10L25/24 G10L2015/088

    Abstract: A keyword spotting apparatus, method, and computer-readable recording medium are disclosed. The keyword spotting method using an artificial neural network according to an embodiment of the disclosure may include obtaining an input feature map from an input voice; performing a first convolution operation on the input feature map for each of n different filters having the same channel length as the input feature map, wherein a width of each of the filters is w1 and the width w1 is less than a width of the input feature map; performing a second convolution operation on a result of the first convolution operation for each of different filters having the same channel length as the input feature map; storing a result of the second convolution operation as an output feature map; and extracting a voice keyword by applying the output feature map to a learned machine learning model.

    SERVER OF MEDIATING A PLURALITY OF TERMINALS, AND MEDIATING METHOD THEREOF

    公开(公告)号:US20210075883A1

    公开(公告)日:2021-03-11

    申请号:US17016064

    申请日:2020-09-09

    Abstract: A server may include a communication interface for receiving a plurality of profile information from a plurality of terminals; and a processor configured to divide users of the plurality of terminals into a plurality of groups based on a first criterion, to divide users of a first gender included in each group into a plurality of subgroups based on a second criterion different from the first criterion, to divide users of a second gender different from the first gender, included in each group into a plurality of matching groups to correspond to each of the plurality of subgroups, and to provide profile information of users included in each of the plurality of matching groups corresponding to each of the plurality of subgroups among the plurality of profile information to users included in each of the plurality of subgroups.

    KEYWORD SPOTTING APPARATUS, METHOD, AND COMPUTER-READABLE RECORDING MEDIUM THEREOF

    公开(公告)号:US20210074270A1

    公开(公告)日:2021-03-11

    申请号:US17013391

    申请日:2020-09-04

    Abstract: A keyword spotting apparatus, method, and computer-readable recording medium are disclosed. The keyword spotting method using an artificial neural network according to an embodiment of the disclosure may include obtaining an input feature map from an input voice; performing a first convolution operation on the input feature map for each of n different filters having the same channel length as the input feature map, wherein a width of each of the filters is w1 and the width w1 is less than a width of the input feature map; performing a second convolution operation on a result of the first convolution operation for each of different filters having the same channel length as the input feature map; storing a result of the second convolution operation as an output feature map; and extracting a voice keyword by applying the output feature map to a learned machine learning model.

    KEYWORD SPOTTING APPARATUS, METHOD, AND COMPUTER-READABLE RECORDING MEDIUM THEREOF

    公开(公告)号:US20230162724A9

    公开(公告)日:2023-05-25

    申请号:US17013391

    申请日:2020-09-04

    CPC classification number: G10L15/16 G10L25/24 G10L2015/088

    Abstract: A keyword spotting apparatus, method, and computer-readable recording medium are disclosed. The keyword spotting method using an artificial neural network according to an embodiment of the disclosure may include obtaining an input feature map from an input voice; performing a first convolution operation on the input feature map for each of n different filters having the same channel length as the input feature map, wherein a width of each of the filters is w1 and the width w1 is less than a width of the input feature map; performing a second convolution operation on a result of the first convolution operation for each of different filters having the same channel length as the input feature map; storing a result of the second convolution operation as an output feature map; and extracting a voice keyword by applying the output feature map to a learned machine learning model.

    Server of mediating a plurality of terminals, and mediating method thereof

    公开(公告)号:US11457077B2

    公开(公告)日:2022-09-27

    申请号:US17016064

    申请日:2020-09-09

    Abstract: A server may include a communication interface for receiving a plurality of profile information from a plurality of terminals; and a processor configured to divide users of the plurality of terminals into a plurality of groups based on a first criterion, to divide users of a first gender included in each group into a plurality of subgroups based on a second criterion different from the first criterion, to divide users of a second gender different from the first gender, included in each group into a plurality of matching groups to correspond to each of the plurality of subgroups, and to provide profile information of users included in each of the plurality of matching groups corresponding to each of the plurality of subgroups among the plurality of profile information to users included in each of the plurality of subgroups.

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