METHOD AND APPARATUS FOR TRAINING LANGUAGE MODEL AND RECOGNIZING SPEECH
    4.
    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。

    GRAMMAR CORRECTING METHOD AND APPARATUS
    5.
    发明申请
    GRAMMAR CORRECTING METHOD AND APPARATUS 审中-公开
    灰度校正方法和装置

    公开(公告)号:US20160196257A1

    公开(公告)日:2016-07-07

    申请号:US14749747

    申请日:2015-06-25

    Inventor: Heeyoul CHOI

    Abstract: A grammar correcting method is provided, the method including receiving a sentence generated based on speech recognition, receiving information associated with a speech recognition result of the sentence and correcting grammar in the sentence based on the information associated with the speech recognition results of the sentence.

    Abstract translation: 提供了一种语法校正方法,该方法包括接收基于语音识别产生的句子,接收与句子的语音识别结果相关联的信息,并且基于与句子的语音识别结果相关联的信息来校正句子中的语法。

    METHOD AND APPARATUS FOR EXTENDING NEURAL NETWORK
    6.
    发明申请
    METHOD AND APPARATUS FOR EXTENDING NEURAL NETWORK 审中-公开
    用于扩展神经网络的方法和装置

    公开(公告)号:US20160155049A1

    公开(公告)日:2016-06-02

    申请号:US14704785

    申请日:2015-05-05

    Inventor: Heeyoul CHOI

    Abstract: Methods and apparatus for extending a neural network, reducing its dimension and processing input data are provided. The method of extending a neural network involves selecting, with a processor, a node of a neural network, adding a new node in a layer that includes the selected node, and setting connection weights of the new node based on connection weights of the selected node.

    Abstract translation: 提供了扩展神经网络,减少其维数和处理输入数据的方法和装置。 扩展神经网络的方法涉及用处理器选择神经网络的节点,在包括所选节点的层中添加新节点,并且基于所选节点的连接权重来设置新节点的连接权重 。

    NEURAL NETWORK TRAINING METHOD AND APPARATUS, AND DATA PROCESSING APPARATUS
    7.
    发明申请
    NEURAL NETWORK TRAINING METHOD AND APPARATUS, AND DATA PROCESSING APPARATUS 审中-公开
    神经网络训练方法与装置及数据处理装置

    公开(公告)号:US20160026913A1

    公开(公告)日:2016-01-28

    申请号:US14636684

    申请日:2015-03-03

    CPC classification number: G06N3/08 G06N3/04 G06N3/0445 G06N3/082

    Abstract: A neural network training method based on training data, includes receiving training data including sequential data, and selecting a reference hidden node from hidden nodes in a neural network. The method further includes training the neural network based on remaining hidden nodes obtained by excluding the reference hidden node from the hidden nodes, and based on the training data, the remaining hidden nodes being connected with hidden nodes in a different time interval, and a connection between the reference hidden node and the hidden nodes in the different time interval being ignored.

    Abstract translation: 一种基于训练数据的神经网络训练方法,包括接收包括顺序数据的训练数据,以及从神经网络中的隐藏节点中选择参考隐藏节点。 该方法还包括基于通过从隐藏节点排除参考隐藏节点获得的剩余隐藏节点来训练神经网络,并且基于训练数据,剩余的隐藏节点与不同时间间隔中的隐藏节点连接,以及连接 在不同时间间隔内的引用隐藏节点和隐藏节点之间被忽略。

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