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公开(公告)号:US11500742B2
公开(公告)日:2022-11-15
申请号:US16768741
申请日:2018-12-19
发明人: Hodong Lee , Kwanghyun Koh , Kiyoung Yang
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.
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公开(公告)号:US10607597B2
公开(公告)日:2020-03-31
申请号:US15916512
申请日:2018-03-09
发明人: Minyoung Mun , SangHyun Yoo , Young Sang Choi , Ki Soo Kwon , Hodong Lee
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.
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公开(公告)号:US11955118B2
公开(公告)日:2024-04-09
申请号:US16851211
申请日:2020-04-17
发明人: Youngmin Kim , Hwidong Na , Min-joong Lee , Hodong Lee
IPC分类号: G10L15/183 , G10L15/00
CPC分类号: G10L15/183 , G10L15/005
摘要: A real-time processor-implemented translation method and apparatus is provided. The real-time translation method includes receiving a content, determining a delay time for real-time translation based on a silence interval of the received content and an utterance interval of the received content, generating a translation result by translating a language used in the received content, and synthesizing the translation result and the received content.
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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
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.
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公开(公告)号:US11017777B2
公开(公告)日:2021-05-25
申请号:US16108717
申请日:2018-08-22
发明人: Min-Joong Lee , Hodong Lee
IPC分类号: G06F40/58 , G10L15/30 , G06N3/04 , G06N3/08 , G06F40/44 , G06F40/216 , G06F40/242 , G06F40/284 , G10L15/16
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.
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公开(公告)号:US10902216B2
公开(公告)日:2021-01-26
申请号:US15450333
申请日:2017-03-06
发明人: Hodong Lee , Youngki Park , Hwidong Na , Minyoung Mun , Inchul Song
摘要: A translation method and apparatus may respectively perform or include: using one or more processors, plural different translation processes, in parallel, for a source sentence in a first language, including encoding, to generate respective feature vectors, the source sentence in each of two or more translation processes of the plural translation processes or the source sentence and a variation of the source sentence in respective translation processes of the plural translation processes, and decoding each of the respective feature vectors to generate respective plural candidate sentences in a second language; and selecting a final sentence in the second language from the respective plural candidate sentences in the second language.
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公开(公告)号:US09626956B2
公开(公告)日:2017-04-18
申请号:US14680366
申请日:2015-04-07
发明人: Hodong Lee
IPC分类号: G10L17/00 , G10L15/02 , G10L15/187 , G10L15/04
CPC分类号: G10L15/02 , G10L15/04 , G10L15/187 , G10L2015/025
摘要: A method and a device that preprocess a speech signal are disclosed, which include extracting at least one frame corresponding to a speech recognition range from frames included in a speech signal, generating a supplementary frame to supplement speech recognition with respect to the speech recognition range based on the at least one extracted frame, and outputting a preprocessed speech signal including the supplementary frame along with the frames of the speech signal.
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公开(公告)号:US11468324B2
公开(公告)日:2022-10-11
申请号:US16831206
申请日:2020-03-26
发明人: Hodong Lee
摘要: A processor-implemented method includes: using an encoder, determining, for each of a plurality of tokens included in an input sequence, a self-attention weight based on a token and one or more tokens that precede the token in the input sequence; using the encoder, determining context information corresponding to the input sequence based on the determined self-attention weights; and using a decoder, determining an output sequence corresponding to the input sequence based on the determined context information.
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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
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.
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公开(公告)号:US10509864B2
公开(公告)日:2019-12-17
申请号:US15947915
申请日:2018-04-09
发明人: Tae Gyoon Kang , Hodong Lee
摘要: A language model training method and an apparatus using the language model training method are disclosed. The language model training method includes assigning a context vector to a target translation vector, obtaining feature vectors based on the target translation vector and the context vector, generating a representative vector representing the target translation vector using an attention mechanism for the feature vectors, and training a language model based on the target translation vector, the context vector, and the representative vector.
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