Electronic device and control method thereof

    公开(公告)号:US11500742B2

    公开(公告)日:2022-11-15

    申请号:US16768741

    申请日:2018-12-19

    摘要: An electronic apparatus is provided. The electronic apparatus includes a storage storing error-related information of an external electronic apparatus, and a processor configured to obtain first error-related information with respect to a target time interval and second error-related information with respect to a standard time interval including the target time interval and time intervals other than the target time interval, from the storage, obtain frequency information for each number of error occurrences with respect to the target time interval based on the first error-related information and frequency information for each number of error occurrences with respect to the standard time interval based on the second error-related information, and compare the frequency information for each number of error occurrences with respect to the target time interval with the frequency information for each number of error occurrences with respect to the standard time interval to identify an error occurrence level with respect to the target time interval.

    Speech signal recognition system and method

    公开(公告)号:US10607597B2

    公开(公告)日:2020-03-31

    申请号:US15916512

    申请日:2018-03-09

    摘要: A speech signal recognition method, apparatus, and system. The speech signal recognition method may include obtaining by or from a terminal an output of a personalization layer, with respect to a speech signal provided by a user of the terminal, having been implemented by input of the speech signal to the personalization layer, the personalization layer being previously trained based on speech features of the user, implementing a global model by providing the obtained output of the personalization layer to the global model, the global model being configured to output a phonemic signal indicating a phoneme included in the speech signal through the global model being previously trained based on speech features common to a plurality of users, and re-training the personalization layer based on the phonemic signal output from the global model, where the personalization layer and the global model collectively represent an acoustic model.

    Machine translation method and apparatus

    公开(公告)号:US10380264B2

    公开(公告)日:2019-08-13

    申请号:US15429709

    申请日:2017-02-10

    发明人: Hodong Lee

    IPC分类号: G06F17/27 G06F17/28

    摘要: A machine translation method and apparatus are provided. The machine translation apparatus generates a feature vector of a source sentence from the source sentence, where the source sentence being is written in a first language, and converts the generated feature vector of the source sentence to a feature vector of a normalized sentence. The machine translation apparatus generates a target sentence from the feature vector of the normalized sentence, wherein the target sentence corresponding corresponds to the source sentence and being is written in a second language.

    Language processing method and apparatus

    公开(公告)号:US11017777B2

    公开(公告)日:2021-05-25

    申请号:US16108717

    申请日:2018-08-22

    摘要: A language processing method and apparatus is disclosed. A language processing apparatus using a neural network may obtain context information from a source text using a neural network-based encoder, generate a prefix token from the context information using a neural network-based main decoder, generate a token sequence including at least two successive tokens sequentially following the prefix token using a skip model in response to the prefix token satisfying a preset condition, and indicate a target text in which the prefix token and the token sequence are combined as an inference result with respect to the source text.

    Machine translation method and apparatus

    公开(公告)号:US11093719B2

    公开(公告)日:2021-08-17

    申请号:US16013055

    申请日:2018-06-20

    发明人: Hodong Lee Hoshik Lee

    IPC分类号: G06F40/58 G06F40/51

    摘要: A processor-implemented machine translation method includes translating a source sentence expressed in a source language into a target language to determine a target sentence, determining, based on a reliability of the target sentence, whether the target sentence is appropriate as a translation result of the source sentence, and re-determining a target sentence corresponding to the source sentence in response to a result of the determining being that the target sentence is inappropriate as the translation result.