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    Speech recognition method
    1.
    发明授权
    Speech recognition method 有权
    语音识别方法

    公开(公告)号：US06321195B1

    公开(公告)日：2001-11-20

    申请号：US09295523

    申请日：1999-04-21

    申请人： Yun Keun Lee ,  Jong Seok Lee ,  Gi Bak Kim ,  Byoung Soo Lee

    发明人： Yun Keun Lee ,  Jong Seok Lee ,  Gi Bak Kim ,  Byoung Soo Lee

    IPC分类号： G10L1902

    CPC分类号： G10L15/10 ,  G10L15/12 ,  G10L2015/223 ,  H04M1/271

    摘要： The present invention relates to an automated dialing method for mobile telephones. According to the method, a user enters a telephone number via the keypad of the mobile phone, followed by speaking a corresponding codeword into the handset. The voice signal is encoded using the CODEC and vocoder already on board the mobile phone. The speech is divided into frames and each frame analyzed to ascertain its primary spectral features. These features are stored in memory as associated with the numeric keypad sequence. In recognition mode, the user speaks the codeword into the handset, which is analyzed in a like fashion as in training mode. The primary spectral features are compared with those stored in memory. When a match is declared according to preset criteria, the telephone number is automatically dialed by the mobile phone. Time warping techniques may be applied in the analysis to reduce timing variations.

    摘要翻译： 本发明涉及移动电话的自动拨号方法。 根据该方法，用户经由移动电话的小键盘输入电话号码，然后将对应的码字说明到手机中。 语音信号使用已经在手机上的CODEC和声码器进行编码。 语音分为帧，每帧分析以确定其主要的频谱特征。 这些功能与数字键盘序列相关联地存储在存储器中。 在识别模式中，用户将手机中的码字说出，以与训练模式相似的方式进行分析。 将主要光谱特征与存储在存储器中的那些进行比较。 当根据预设条件声明比赛时，手机自动拨打电话号码。 时间扭曲技术可用于分析以减少时间变化。

    Method for estimating language model weight and system for the same
    2.
    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
    4.
    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。

    Method of manufacturing an evaporator for looped heat pipe
    8.
    发明授权
    Method of manufacturing an evaporator for looped heat pipe 有权
    环形热管蒸发器的制造方法

    公开(公告)号：US08739405B2

    公开(公告)日：2014-06-03

    申请号：US13303909

    申请日：2011-11-23

    申请人： Jee Hoon Choi ,  Jung Hyun Yoo ,  Byung Ho Sung ,  Yun Keun Lee ,  Min Whan Seo

    发明人： Jee Hoon Choi ,  Jung Hyun Yoo ,  Byung Ho Sung ,  Yun Keun Lee ,  Min Whan Seo

    IPC分类号： B21D53/02 ,  F28D15/02 ,  F28D15/04

    CPC分类号： F28D15/043 ,  F28D15/046

    摘要： An evaporator for a looped heat pipe (LHP) system, in which a working fluid circulates to cool heat generating electronic components that generate heat during operation, the evaporator including: a body comprising an inlet through which the working fluid enters and an outlet through which the working fluid is discharged; a sintered wick that is included in the body, wherein the sintered wick is formed by sintering a metal powder, and a plurality of pores are formed in the sintered wick; and an additional layer that is formed on a vaporization surface of the sintered wick where evaporation of the working fluid occurs, wherein a plurality of through holes are formed in the additional layer such that the working fluid changed into a vapor state passes through the additional layer after passing the sintered wick.

    摘要翻译： 一种用于循环热管（LHP）系统的蒸发器，其中工作流体循环以冷却在运行期间产生热量的发热电子部件，所述蒸发器包括：主体，其包括工作流体进入的入口和出口， 工作流体排出; 包括在本体中的烧结芯，其中通过烧结金属粉末形成烧结芯，并且在烧结芯中形成多个孔; 以及形成在烧结芯的蒸发表面上的另外的层，其中发生工作流体的蒸发，其中在附加层中形成多个通孔，使得工作流体变为蒸汽状态通过附加层 通过烧结芯后。

    Apparatus and method for generating noise adaptive acoustic model for environment migration including noise adaptive discriminative adaptation method
    10.
    发明授权
    Apparatus and method for generating noise adaptive acoustic model for environment migration including noise adaptive discriminative adaptation method 有权
    用于生成用于环境迁移的噪声自适应声学模型的装置和方法，包括噪声自适应识别适应方法

    公开(公告)号：US08234112B2

    公开(公告)日：2012-07-31

    申请号：US12109932

    申请日：2008-04-25

    申请人： Byung Ok Kang ,  Ho Young Jung ,  Yun Keun Lee

    发明人： Byung Ok Kang ,  Ho Young Jung ,  Yun Keun Lee

    IPC分类号： G10L15/06

    CPC分类号： G10L15/20

    摘要： Provided are an apparatus and method for generating a noise adaptive acoustic model including a noise adaptive discriminative adaptation method. The method includes: generating a baseline model parameter from large-capacity speech training data including various noise environments; and receiving the generated baseline model parameter and applying a discriminative adaptation method to the generated results to generate an migrated acoustic model parameter suitable for an actually applied environment.

    摘要翻译： 提供了一种用于生成包括噪声自适应识别适应方法的噪声自适应声学模型的装置和方法。 该方法包括：从包括各种噪声环境的大容量语音训练数据生成基线模型参数; 以及接收所生成的基线模型参数并将所述鉴别适应方法应用于所生成的结果以产生适用于实际应用环境的迁移的声学模型参数。