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    Method for estimating language model weight and system for the same
    7.
    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。

    METHOD FOR ESTIMATING LANGUAGE MODEL WEIGHT AND SYSTEM FOR THE SAME
    8.
    发明申请
    METHOD FOR ESTIMATING LANGUAGE MODEL WEIGHT AND SYSTEM FOR THE SAME 失效
    用于估算语言模型重量和系统的方法

    公开(公告)号：US20120150539A1

    公开(公告)日：2012-06-14

    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。

    Noise cancellation system and method
    9.
    发明授权
    Noise cancellation system and method 有权
    噪声消除系统和方法

    公开(公告)号：US08296135B2

    公开(公告)日：2012-10-23

    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。