MACHINE TRANSLATION METHOD AND APPARATUS
    21.
    发明申请

    公开(公告)号:US20180052828A1

    公开(公告)日:2018-02-22

    申请号:US15401126

    申请日:2017-01-09

    CPC classification number: G06F17/289 G06F17/2809 G10L25/30

    Abstract: A machine translation method includes converting a source sentence written in a first language to language-independent information using an encoder for the first language, and converting the language-independent information to a target sentence corresponding to the source sentence and written in a second language different from the first language using a decoder for the second language. The encoder for the first language is trained to output language-independent information corresponding to the target sentence in response to an input of the source sentence.

    METHOD AND APPARATUS FOR RECOGNIZING SPEECH
    22.
    发明申请
    METHOD AND APPARATUS FOR RECOGNIZING SPEECH 审中-公开
    用于识别语音的方法和装置

    公开(公告)号:US20160210115A1

    公开(公告)日:2016-07-21

    申请号:US14799025

    申请日:2015-07-14

    Inventor: Hoshik LEE

    CPC classification number: G06F3/167 G10L15/22 G10L25/63 G10L2015/226

    Abstract: A speech recognition method and apparatus are provided, in which the speech recognition apparatus may recognize a user feature and a speech recognition environment, determine a speech recognition speed for performing speech recognition based on one of the recognized user feature and the speech recognition environment, and perform the speech recognition based on the determined speech recognition speed.

    Abstract translation: 提供一种语音识别方法和装置,其中语音识别装置可以识别用户特征和语音识别环境,基于识别的用户特征和语音识别环境之一来确定用于执行语音识别的语音识别速度,以及 基于确定的语音识别速度执行语音识别。

    METHOD AND APPARATUS FOR TRAINING LANGUAGE MODEL AND RECOGNIZING SPEECH
    23.
    发明申请
    METHOD AND APPARATUS FOR TRAINING LANGUAGE MODEL AND RECOGNIZING SPEECH 有权
    用于培训语言模式和识别语音的方法和装置

    公开(公告)号:US20160163310A1

    公开(公告)日:2016-06-09

    申请号:US14727462

    申请日:2015-06-01

    Abstract: A method and apparatus for training a neural network language model, and a method and apparatus for recognizing speech data based on a trained language model are provided. The method of training a language model involves converting, using a processor, training data into error-containing training data, and training a neural network language model using the error-containing training data.

    Abstract translation: 提供了一种用于训练神经网络语言模型的方法和装置,以及用于基于训练语言模型识别语音数据的方法和装置。 训练语言模型的方法包括使用处理器将训练数据转换为含错误的训练数据,以及使用含有错误的训练数据训练神经网络语言模型。

    APPARATUS AND METHOD TO ESTIMATE A DEGREE OF USER FATIGUE TO VIDEO CONTENT
    24.
    发明申请
    APPARATUS AND METHOD TO ESTIMATE A DEGREE OF USER FATIGUE TO VIDEO CONTENT 审中-公开
    估计用户对视频内容的程度的装置和方法

    公开(公告)号:US20150051887A1

    公开(公告)日:2015-02-19

    申请号:US14336296

    申请日:2014-07-21

    Inventor: Hoshik LEE

    CPC classification number: G06K9/00335

    Abstract: An apparatus and a method to estimate a degree of user fatigue to video content are disclosed including a feature value calculating unit and a fatigue degree calculating unit. The feature value calculating unit is configured to calculate feature values corresponding to image and sound features in a video content. The fatigue degree calculating unit is configured to calculate a degree of user fatigue to the video content by applying the feature values to a fatigue degree estimation model.

    Abstract translation: 公开了一种用于估计用户对视频内容的疲劳程度的装置和方法,包括特征值计算单元和疲劳度计算单元。 特征值计算单元被配置为计算与视频内容中的图像和声音特征相对应的特征值。 疲劳度计算单元被配置为通过将特征值应用于疲劳度估计模型来计算与视频内容的用户疲劳程度。

    METHOD AND APPARATUS FOR GENERATING SPEECH

    公开(公告)号:US20210110817A1

    公开(公告)日:2021-04-15

    申请号:US17069927

    申请日:2020-10-14

    Abstract: A speech generation method and apparatus are disclosed. The speech generation method includes obtaining, by a processor, a linguistic feature and a prosodic feature from an input text, determining, by the processor, a first candidate speech element through a cost calculation and a Viterbi search based on the linguistic feature and the prosodic feature, generating, at a speech element generator implemented at the processor, a second candidate speech element based on the linguistic feature or the prosodic feature and the first candidate speech element, and outputting, by the processor, an output speech by concatenating the second candidate speech element and a speech sequence determined through the Viterbi search.

    METHOD AND APPARATUS WITH TEXT-TO-SPEECH CONVERSION

    公开(公告)号:US20200211528A1

    公开(公告)日:2020-07-02

    申请号:US16404886

    申请日:2019-05-07

    Inventor: Hoshik LEE

    Abstract: A processor-implemented text-to-speech method includes determining, using a sub-encoder, a first feature vector indicating an utterance characteristic of a speaker from feature vectors of a plurality of frames extracted from a partial section of a first speech signal of the speaker, and determining, using an autoregressive decoder, into which the first feature vector is input as an initial value, from context information of the text, a second feature vector of a second speech signal in which a text is uttered according to the utterance characteristic.

    SENTENCE GENERATING METHOD AND APPARATUS
    28.
    发明申请

    公开(公告)号:US20190095433A1

    公开(公告)日:2019-03-28

    申请号:US15945979

    申请日:2018-04-05

    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.

    TRANSLATION METHOD AND APPARATUS, AND TRANSLATION SYSTEM

    公开(公告)号:US20180210878A1

    公开(公告)日:2018-07-26

    申请号:US15715956

    申请日:2017-09-26

    Abstract: A translation method includes: selecting a source word from a source sentence; generating mapping information including location information of the selected source word mapped to the selected source word in the source sentence; and correcting a target word, which is generated by translating the source sentence, based on location information of a feature value of the target word and the mapping information.

    APPARATUS AND METHOD FOR GENERATING SENTENCE
    30.
    发明申请

    公开(公告)号:US20180121419A1

    公开(公告)日:2018-05-03

    申请号:US15471573

    申请日:2017-03-28

    Abstract: A sentence generating apparatus includes an encoder configured to generate a first sentence embedding vector by applying trained result data to a first paraphrased sentence of an input sentence, an extractor configured to extract verification sentences in a preset range from the generated first sentence embedding vector, and a determiner configured to determine a similarity of the first paraphrased sentence to the input sentence based on comparing the verification sentences to the input sentence.

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