公开(公告)号：US08374869B2

公开(公告)日：2013-02-12

申请号：US12535024

申请日：2009-08-04

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

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

IPC: G10L15/04 ,  G10L15/28 ,  G10L15/14 ,  G10L15/00 ,  G10L15/26 ,  G10L15/06 ,  G10L17/00

CPC classification number: G10L15/187 ,  G10L15/10

Abstract: An utterance verification method for an isolated word N-best speech recognition result includes: calculating log likelihoods of a context-dependent phoneme and an anti-phoneme model based on an N-best speech recognition result for an input utterance; measuring a confidence score of an N-best speech-recognized word using the log likelihoods; calculating distance between phonemes for the N-best speech-recognized word; comparing the confidence score with a threshold and the distance with a predetermined mean of distances; and accepting the N-best speech-recognized word when the compared results for the confidence score and the distance correspond to acceptance.

Abstract translation: 用于隔离字N语音识别结果的话语验证方法包括：基于输入语音的N最佳语音识别结果计算上下文相关音素和反音素模型的对数似然性; 使用对数似然度来测量N个最佳语音识别词的置信度分数; 计算N最佳语音识别词的音素之间的距离; 将置信度分数与阈值和具有预定平均距离的距离进行比较; 并且当信心得分和距离的比较结果对应于接受时，接受N最佳语音识别词。

公开(公告)号：US20100161416A1

公开(公告)日：2010-06-24

申请号：US12491788

申请日：2009-06-25

Applicant: Euisok Chung ,  Ji Hyun Wang ,  Byung Ok Kang ,  Jeon Gue Park ,  Yunkeun Lee ,  Hyo-Jung Oh ,  Chang Ki Lee ,  Chung Hee Lee ,  Myung Gil Jang

Inventor： Euisok Chung ,  Ji Hyun Wang ,  Byung Ok Kang ,  Jeon Gue Park ,  Yunkeun Lee ,  Hyo-Jung Oh ,  Chang Ki Lee ,  Chung Hee Lee ,  Myung Gil Jang

IPC: G06Q30/00 ,  G06F17/30

CPC classification number: G06Q30/02 ,  G06Q30/0255

Abstract: A method of providing targeted advertisements, includes: generating an advertisement search result using a search query based on a user query or a recommended query; generating an advertisement search result on the basis of a user profile; integrating the advertisement search result generated on the basis of the user profile with the advertisement search result generated by using the search query; and presenting a recommended advertisement list on the basis of the integrated advertisement search result and advertisement information exposed to a user.

Abstract translation: 提供目标广告的方法包括：使用基于用户查询或推荐查询的搜索查询生成广告搜索结果; 基于用户简档生成广告搜索结果; 将基于用户简档生成的广告搜索结果与通过使用搜索查询生成的广告搜索结果进行整合; 并根据暴露给用户的综合广告搜索结果和广告信息呈现推荐广告列表。

公开(公告)号：US20100161329A1

公开(公告)日：2010-06-24

申请号：US12506719

申请日：2009-07-21

Applicant: Hoon CHUNG ,  Jeon Gue PARK ,  Yunkeun LEE ,  Ho-Young JUNG ,  Hyung-Bae JEON ,  Jeorn Ja KANG ,  Sung Joo LEE ,  Euisok CHUNG ,  Ji Hyun WANG ,  Byung Ok KANG ,  Ki-young PARK ,  Jong Jin KIM

Inventor： Hoon CHUNG ,  Jeon Gue PARK ,  Yunkeun LEE ,  Ho-Young JUNG ,  Hyung-Bae JEON ,  Jeorn Ja KANG ,  Sung Joo LEE ,  Euisok CHUNG ,  Ji Hyun WANG ,  Byung Ok KANG ,  Ki-young PARK ,  Jong Jin KIM

IPC: G10L15/00

CPC classification number: G10L15/08 ,  G10L15/142

Abstract: A Viterbi decoder includes: an observation vector sequence generator for generating an observation vector sequence by converting an input speech to a sequence of observation vectors; a local optimal state calculator for obtaining a partial state sequence having a maximum similarity up to a current observation vector as an optimal state; an observation probability calculator for obtaining, as a current observation probability, a probability for observing the current observation vector in the optimal state; a buffer for storing therein a specific number of previous observation probabilities; a non-linear filter for calculating a filtered probability by using the previous observation probabilities stored in the buffer and the current observation probability; and a maximum likelihood calculator for calculating a partial maximum likelihood by using the filtered probability. The filtered probability may be a maximum value, a mean value or a median value of the previous observation probabilities and the current observation probability.

Abstract translation: 维特比解码器包括：观测向量序列生成器，用于通过将输入语音转换为观察向量序列来生成观察向量序列; 局部最优状态计算器，用于获得具有与当前观察向量最大相似度的部分状态序列作为最佳状态; 观测概率计算器，用于获得在最佳状态下观察当前观测矢量的概率作为当前观测概率; 用于在其中存储特定数量的先前观察概率的缓冲器; 用于通过使用存储在缓冲器中的先前观察概率和当前观察概率来计算滤波概率的非线性滤波器; 以及最大似然计算器，用于通过使用滤波的概率来计算部分最大似然。 滤波概率可以是先前观测概率和当前观测概率的最大值，平均值或中值。

公开(公告)号：US20100161326A1

公开(公告)日：2010-06-24

申请号：US12506705

申请日：2009-07-21

Applicant: 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

Inventor： 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: G10L15/20

CPC classification number: G10L21/0208 ,  G10L15/20 ,  G10L25/48

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20090265168A1

公开(公告)日：2009-10-22

申请号：US12270218

申请日：2008-11-13

Applicant: 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

Inventor： 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: G10L21/02

CPC classification number: G10L15/20 ,  G10L21/0208

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20090157399A1

公开(公告)日：2009-06-18

申请号：US12336208

申请日：2008-12-16

Applicant: Hoon-Young CHO ,  Yunkeun Lee ,  Ho-Young Jung ,  Byung Ok Kang ,  Jeom Ja Kang ,  Kap Kee Kim ,  Sung Joo Lee ,  Hoon Chung ,  Jeon Gue Park ,  Hyung-Bae Jeon

Inventor： Hoon-Young CHO ,  Yunkeun Lee ,  Ho-Young Jung ,  Byung Ok Kang ,  Jeom Ja Kang ,  Kap Kee Kim ,  Sung Joo Lee ,  Hoon Chung ,  Jeon Gue Park ,  Hyung-Bae Jeon

IPC: G10L15/00

CPC classification number: G10L15/01

Abstract: An apparatus for evaluating the performance of speech recognition includes a speech database for storing N-number of test speech signals for evaluation. A speech recognizer is located in an actual environment and executes the speech recognition of the test speech signals reproduced using a loud speaker from the speech database in the actual environment to produce speech recognition results. A performance evaluation module evaluates the performance of the speech recognition by comparing correct recognition results answers with the speech recognition results.

Abstract translation: 用于评估语音识别性能的装置包括用于存储用于评估的N个测试语音信号的语音数据库。 语音识别器位于实际环境中，并且在实际环境中执行使用来自语音数据库的扬声器再现的测试语音信号的语音识别，以产生语音识别结果。 性能评估模块通过将正确的识别结果答案与语音识别结果进行比较来评估语音识别的性能。

公开(公告)号：US20090150146A1

公开(公告)日：2009-06-11

申请号：US12242819

申请日：2008-09-30

Applicant: Hoon Young CHO ,  Yun Keun Lee ,  Jeom Ja Kang ,  Byung Ok Kang ,  Kap Kee Kim ,  Sung Joo Lee ,  Ho Young Jung ,  Hoon Chung ,  Jeon Gue Park ,  Hyung Bae Jeon

Inventor： Hoon Young CHO ,  Yun Keun Lee ,  Jeom Ja Kang ,  Byung Ok Kang ,  Kap Kee Kim ,  Sung Joo Lee ,  Ho Young Jung ,  Hoon Chung ,  Jeon Gue Park ,  Hyung Bae Jeon

IPC: G10L15/20

CPC classification number: G10L15/20 ,  G10L21/0272 ,  G10L2021/02166

Abstract: A microphone-array-based speech recognition system using a blind source separation (BBS) and a target speech extraction method in the system are provided. The speech recognition system performs an independent component analysis (ICA) to separate mixed signals input through a plurality of microphone into sound-source signals, extracts one target speech spoken for speech recognition from the separated sound-source signals by using a Gaussian mixture model (GMM) or a hidden Markov Model (HMM), and automatically recognizes a desired speech from the extracted target speech. Accordingly, it is possible to obtain a high speech recognition rate even in a noise environment.

Abstract translation: 提供了一种基于麦克风阵列的语音识别系统，该系统使用盲源分离（BBS）和目标语音提取方法。 语音识别系统执行独立分量分析（ICA）以将通过多个麦克风输入的混合信号分离成声源信号，通过使用高斯混合模型从分离的声源信号中提取用于语音识别的一个目标语音（ GMM）或隐马尔可夫模型（HMM），并且从所提取的目标语音中自动识别期望的语音。 因此，即使在噪声环境中也可以获得高的语音识别率。

公开(公告)号：US08296135B2

公开(公告)日：2012-10-23

申请号：US12270218

申请日：2008-11-13

Applicant: 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

Inventor： 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: G10L21/02

CPC classification number: G10L15/20 ,  G10L21/0208

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US08234112B2

公开(公告)日：2012-07-31

申请号：US12109932

申请日：2008-04-25

Applicant: Byung Ok Kang ,  Ho Young Jung ,  Yun Keun Lee

Inventor： Byung Ok Kang ,  Ho Young Jung ,  Yun Keun Lee

IPC: G10L15/06

CPC classification number: G10L15/20

Abstract: 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.

Abstract translation: 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。

公开(公告)号：US20120136659A1

公开(公告)日：2012-05-31

申请号：US13302480

申请日：2011-11-22

Applicant: Byung-Ok Kang ,  Hwa-Jeon Song ,  Ho-Young Jung ,  Sung-Joo Lee ,  Jeon-Gue Park ,  Yun-Keun Lee

Inventor： Byung-Ok Kang ,  Hwa-Jeon Song ,  Ho-Young Jung ,  Sung-Joo Lee ,  Jeon-Gue Park ,  Yun-Keun Lee

IPC: G10L15/00

CPC classification number: G10L15/20 ,  G10L21/02 ,  G10L25/93

Abstract: Disclosed herein are an apparatus and method for preprocessing speech signals to perform speech recognition. The apparatus includes a voiced sound interval detection unit, a preprocessing method determination unit, and a clipping signal processing unit. The voiced sound interval detection unit detects a voiced sound interval including a voiced sound signal in a voice interval. The preprocessing method determination unit detects a clipping signal present in the voiced sound interval. The clipping signal processing unit extracts signal samples adjacent to the clipping signal, and performs interpolation on the clipping signal using the adjacent signal samples.

Abstract translation: 这里公开了一种用于预处理语音信号以执行语音识别的装置和方法。 该装置包括有声音间隔检测单元，预处理方法确定单元和限幅信号处理单元。 有声声音间隔检测单元检测包括语音间隔中的有声声音信号的浊音间隔。 预处理方法确定单元检测有声声音间隔中存在的限幅信号。 剪辑信号处理单元提取与削波信号相邻的信号样本，并使用相邻的信号样本对削波信号进行插值。