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    Automatic translation method and system based on corresponding sentence pattern
    1.
    发明授权
    Automatic translation method and system based on corresponding sentence pattern 失效
    基于相应句型的自动翻译方法和系统

    公开(公告)号：US08015016B2

    公开(公告)日：2011-09-06

    申请号：US11924102

    申请日：2007-10-25

    申请人： Jun Park ,  Seung Hi Kim ,  Hyung Bae Jeon ,  Young Jik Lee ,  Hoon Chung

    发明人： Jun Park ,  Seung Hi Kim ,  Hyung Bae Jeon ,  Young Jik Lee ,  Hoon Chung

    IPC分类号： G10L21/00 ,  G06F17/27 ,  G06F17/28

    CPC分类号： G10L15/18 ,  G06F17/2872 ,  G10L13/10

    摘要： Provided are an automatic speech translation system and a method for obtaining accurate translation performance with a simple structure. Because input and output sentences are written in different languages, automatic speech translation requires techniques for processing different languages. Repetition of text processing like morpheme analysis or sentence parsing in conventional automatic speech translation can complicate the overall translation process. Meanwhile, although input and output sentences are written in different languages, they have to have the same meaning and a corresponding sentence form and words. Accordingly, the corresponding words and sentence forms of the two languages can be expressed with a simple structure and utilized in the automatic speech translation process, thereby maintaining consistency during the process and avoiding unnecessary process repetition, which reduces errors and improves performance.

    摘要翻译： 提供了一种自动语音翻译系统和一种以简单的结构获得准确的翻译性能的方法。 由于输入和输出句子是用不同的语言编写的，所以自动语音翻译需要处理不同语言的技术。 在常规自动语音翻译中重复文本处理，如语素分析或句法解析可能会使整个翻译过程复杂化。 同时，虽然输入和输出句子是用不同的语言编写的，但它们必须具有相同的含义和相应的句子形式和单词。 因此，两种语言的对应单词和句子形式可以用简单的结构表示，并在自动语音翻译过程中使用，从而保持过程中的一致性，避免不必要的过程重复，从而减少错误并提高性能。

    SPEECH RECOGNITION SYSTEM AND METHOD
    4.
    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：US20100161326A1

    公开(公告)日：2010-06-24

    申请号：US12506705

    申请日：2009-07-21

    申请人： Sung Joo Lee ,  Ho-Young Jung ,  Jeon Gue Park ,  Hoon Chung ,  Yunkeun Lee ,  Byung Ok Kang ,  Hyung-Bae Jeon ,  Jong Jin Kim ,  Ki-young Park ,  Euisok Chung ,  Ji Hyun Wang ,  Jeom Ja Kang

    发明人： Sung Joo Lee ,  Ho-Young Jung ,  Jeon Gue Park ,  Hoon Chung ,  Yunkeun Lee ,  Byung Ok Kang ,  Hyung-Bae Jeon ,  Jong Jin Kim ,  Ki-young Park ,  Euisok Chung ,  Ji Hyun Wang ,  Jeom Ja Kang

    IPC分类号： G10L15/20

    CPC分类号： G10L21/0208 ,  G10L15/20 ,  G10L25/48

    摘要： A speech recognition system includes: a speed level classifier for measuring a moving speed of a moving object by using a noise signal at an initial time of speech recognition to determine a speed level of the moving object; a first speech enhancement unit for enhancing sound quality of an input speech signal of the speech recognition by using a Wiener filter, if the speed level of the moving object is equal to or lower than a specific level; and a second speech enhancement unit enhancing the sound quality of the input speech signal by using a Gaussian mixture model, if the speed level of the moving object is higher than the specific level. The system further includes an end point detection unit for detecting start and end points, an elimination unit for eliminating sudden noise components based on a sudden noise Gaussian mixture model.

    摘要翻译： 语音识别系统包括：速度级分类器，用于通过在语音识别的初始时间使用噪声信号来测量移动物体的移动速度，以确定移动物体的速度水平; 第一语音增强单元，如果移动对象的速度水平等于或低于特定水平，则通过使用维纳滤波器来增强语音识别的输入语音信号的声音质量; 以及第二语音增强单元，如果移动对象的速度水平高于特定水平，则通过使用高斯混合模型来增强输入语音信号的声音质量。 该系统还包括用于检测起点和终点的终点检测单元，用于基于突发噪声高斯混合模型消除突发噪声分量的消除单元。

    NOISE CANCELLATION SYSTEM AND METHOD
    5.
    发明申请
    NOISE CANCELLATION SYSTEM AND METHOD 有权
    噪声消除系统和方法

    公开(公告)号：US20090265168A1

    公开(公告)日：2009-10-22

    申请号：US12270218

    申请日：2008-11-13

    申请人： Byung Ok Kang ,  Ho-Young Jung ,  Sung Joo Lee ,  Yunkeun Lee ,  Jeon Gue Park ,  Jeom Ja Kang ,  Hoon Chung ,  Euisok Chung ,  Ji Hyun Wang ,  Hyung-Bae Jeon

    发明人： Byung Ok Kang ,  Ho-Young Jung ,  Sung Joo Lee ,  Yunkeun Lee ,  Jeon Gue Park ,  Jeom Ja Kang ,  Hoon Chung ,  Euisok Chung ,  Ji Hyun Wang ,  Hyung-Bae Jeon

    IPC分类号： G10L21/02

    CPC分类号： G10L15/20 ,  G10L21/0208

    摘要： A noise cancellation apparatus includes a noise estimation module for receiving a noise-containing input speech, and estimating a noise therefrom to output the estimated noise; a first Wiener filter module for receiving the input speech, and applying a first Wiener filter thereto to output a first estimation of clean speech; a database for storing data of a Gaussian mixture model for modeling clean speech; and an MMSE estimation module for receiving the first estimation of clean speech and the data of the Gaussian mixture model to output a second estimation of clean speech. The apparatus further includes a final clean speech estimation module for receiving the second estimation of clean speech from the MMSE estimation module and the estimated noise from the noise estimation module, and obtaining a final Wiener filter gain therefrom to output a final estimation of clean speech by applying the final Wiener filter gain.

    摘要翻译： 噪声消除装置包括：噪声估计模块，用于接收含噪声的输入语音，并估计噪声以输出所估计的噪声; 用于接收所述输入语音的第一维纳滤波器模块，以及对其施加第一维纳滤波器以输出清洁语音的第一估计; 用于存储用于建模清洁语音的高斯混合模型的数据的数据库; 以及MMSE估计模块，用于接收清洁语音的第一估计和高斯混合模型的数据，以输出干净语音的第二估计。 该装置还包括最后的清洁语音估计模块，用于从MMSE估计模块接收清洁语音的第二估计和来自噪声估计模块的估计噪声，并从中获得最终的维纳滤波器增益，以便通过以下方式输出清洁语音的最终估计： 应用最后的维纳滤波器增益。

    Method for estimating language model weight and system for the same
    8.
    发明授权
    Method for estimating language model weight and system for the same 失效
    用于估计语言模型权重和系统的方法

    公开(公告)号：US08666739B2

    公开(公告)日：2014-03-04

    申请号：US13324414

    申请日：2011-12-13

    申请人： Hyung Bae Jeon ,  Yun Keun Lee ,  Eui Sok Chung ,  Jong Jin Kim ,  Hoon Chung ,  Jeon Gue Park ,  Ho Young Jung ,  Byung Ok Kang ,  Ki Young Park ,  Sung Joo Lee ,  Jeom Ja Kang ,  Hwa Jeon Song

    发明人： Hyung Bae Jeon ,  Yun Keun Lee ,  Eui Sok Chung ,  Jong Jin Kim ,  Hoon Chung ,  Jeon Gue Park ,  Ho Young Jung ,  Byung Ok Kang ,  Ki Young Park ,  Sung Joo Lee ,  Jeom Ja Kang ,  Hwa Jeon Song

    IPC分类号： G10L15/00

    CPC分类号： G10L15/065 ,  G10L15/187

    摘要： Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.

    摘要翻译： 本发明的方法可以包括接收从语音信号转换的语音特征向量，通过对接收的语音特征向量应用第一语言模型来执行第一搜索，并且将字格的字格和第一声分数输出为连续语音识别结果，输出 第二声学分数作为音素识别结果，通过对语音特征向量应用声学模型，将连续语音识别结果的第一声学分数与音素识别结果的第二声学分数进行比较，当第一个coustic分数输出第一语言模型权重时， 连续语音识别结果比音素识别结果的第二声分数更好，并且通过将与输出第一语言模型相同的第二语言模型权重应用于单词格来进行第二搜索。