SENTENCE GENERATING METHOD AND APPARATUS
    12.
    发明申请

    公开(公告)号:US20200175233A1

    公开(公告)日:2020-06-04

    申请号:US16745947

    申请日:2020-01-17

    Abstract: A sentence generating method includes: generating a corresponding word set of a source word set generated based on a source sentence; generating words by performing decoding based on feature vectors generated through encoding of the source sentence; adjusting a probability of at least one of the generated words based either one or both of the source word set and the corresponding word set; and selecting character strings from different character strings including each of the generated words based on the adjusted probability and the probability as unadjusted.

    MACHINE TRANSLATION METHOD AND APPARATUS
    13.
    发明申请

    公开(公告)号:US20190251174A1

    公开(公告)日:2019-08-15

    申请号:US16013055

    申请日:2018-06-20

    CPC classification number: G06F17/289

    Abstract: 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.

    METHOD OF UPDATING SENTENCE GENERATION MODEL AND SENTENCE GENERATING APPARATUS

    公开(公告)号:US20190114540A1

    公开(公告)日:2019-04-18

    申请号:US16014779

    申请日:2018-06-21

    Abstract: A processor implemented method to update a sentence generation model includes: generating a target sentence corresponding to a source sentence using a first decoding model; calculating reward information associated with the target sentence using a second decoding model configured to generate a sentence in an order different from an order of the sentence generated by the first decoding model; and generating an updated sentence generation model by resetting a weight of respective nodes in the first decoding model based on the calculated reward information.

    SPEECH RECOGNITION SYSTEM AND METHOD
    16.
    发明申请
    SPEECH RECOGNITION SYSTEM AND METHOD 有权
    语音识别系统和方法

    公开(公告)号:US20150279356A1

    公开(公告)日:2015-10-01

    申请号:US14674531

    申请日:2015-03-31

    Inventor: Hoshik LEE

    CPC classification number: G10L15/24 G10L15/20

    Abstract: A speech recognition server and method are provided. The speech recognition server includes: a network connector configured to connect to terminals through a communication network, and a processor configured to calculate times of arrival of a speech sound at each of the terminals using the speech signals received from each of the terminals, calculate distances between a user and the terminals based on the times of arrival of the speech sound to each of the terminals, and recognize a command to control a target by integrating speech recognition results obtained from the speech signals using a weighted value determined based on the distances.

    Abstract translation: 提供语音识别服务器和方法。 语音识别服务器包括:网络连接器,被配置为通过通信网络连接到终端,以及处理器,被配置为使用从每个终端接收的语音信号计算每个终端处的语音的到达时间,计算距离 基于语音到达的时间到用户和终端之间的每个终端,并且通过使用基于距离确定的加权值来整合从语音信号获得的语音识别结果来识别控制目标的命令。

    MODEL TRAINING METHOD AND APPARATUS

    公开(公告)号:US20230035351A1

    公开(公告)日:2023-02-02

    申请号:US17950521

    申请日:2022-09-22

    Abstract: A model training method and apparatus is disclosed, where the model training method acquires a recognition result of a teacher model and a recognition result of a student model for an input sequence and trains the student model such that the recognition result of the teacher model and the recognition result of the student model are not distinguished from each other.

    METHOD AND APPARATUS WITH SPEECH PROCESSING

    公开(公告)号:US20210151042A1

    公开(公告)日:2021-05-20

    申请号:US15931949

    申请日:2020-05-14

    Abstract: A processor-implemented method includes performing speech recognition of a speech signal, generating a plurality of first candidate sentences as a result of the performing of the speech recognition, identifying a respective named entity in each of the plurality of first candidate sentences, determining a standard expression corresponding to the identified respective named entity using phonemes of the corresponding named entity, determining whether to replace the identified named entity in each of the plurality of first candidate sentences with the determined standard expression based on a similarity between the named entity and the standard expression corresponding to the named entity and determining a plurality of second candidate sentences based on the determination result; and outputting a final sentence selected from the plurality of second candidate sentences.

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