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    • 1. 发明申请
    • Adaptive mode control apparatus and method for adaptive beamforming based on detection of user direction sound
    • 基于用户方向声音检测的自适应波束成形自适应模式控制装置及方法
    • US20090304200A1
    • 2009-12-10
    • US12455873
    • 2009-06-09
    • Hyun-Soo KimHan-Seok KoJoung-Hoon BehTaek-Jin Lee
    • Hyun-Soo KimHan-Seok KoJoung-Hoon BehTaek-Jin Lee
    • G10K11/16
    • G10K11/178G10K2210/111
    • An adaptive mode control apparatus and method for adaptive beamforming based on detection of a user direction sound are provided. The adaptive mode control apparatus includes a signal intensity detector that searches for signal intensity of each designated direction to detect signal intensity having a maximum value when a voice signal of each direction is input through at least one microphone; and an adaptive mode controller that compares the signal intensity having the maximum value detected through the signal intensity detector with a threshold value and determines whether to perform an adaptive mode of a Generalized Sidelobe Canceller (GSC) according to the comparison results. Therefore, a lack of control of adaptation of an adaptive filter of the conventional art is solved. That is, as one condition for guaranteeing performance of adaptive beamforming, adaptation of an adaptive filter is not performed when noise of a sound with a high autocorrelation is cancelled.
    • 提供了一种基于用户方向声音检测的自适应波束成形的自适应模式控制装置和方法。 自适应模式控制装置包括信号强度检测器,当通过至少一个麦克风输入每个方向的语音信号时,搜索每个指定方向的信号强度以检测具有最大值的信号强度; 以及自适应模式控制器,其将具有通过信号强度检测器检测到的最大值的信号强度与阈值进行比较,并且根据比较结果确定是否执行广义旁瓣消除器(GSC)的自适应模式。 因此,解决了传统技术的自适应滤波器的适应性缺乏控制。 也就是说,作为用于保证自适应波束形成的性能的一个条件,当取消具有高自相关性的声音的噪声时,不执行自适应滤波器的自适应。
    • 3. 发明授权
    • Sound source separation method and system using beamforming technique
    • 声源分离方法和使用波束成形技术的系统
    • US08577677B2
    • 2013-11-05
    • US12460473
    • 2009-07-20
    • Hyun-Soo KimHanseok KoJounghoon BehTaekjin Lee
    • Hyun-Soo KimHanseok KoJounghoon BehTaekjin Lee
    • G10L21/02
    • G10L21/0272G10L2021/02166
    • A system and method for sound source separation. The system and method use a beamforming technique. The sound source separation system includes a windowing processor; a DFT transformer; a transfer function estimator; and a noise estimator. The system also includes a voice signal extractor that cancels individual voice signals, except an individual voice signal that is desired to be extracted among individual voice signals, from the integrated voice signals. The system further includes a voice signal detector that cancels a noise part provided through the noise estimator from a transfer function of an individual voice signal which is desired to be detected and extracts a noise-canceled individual voice signal. Even when two or more sound sources are simultaneously input, the sound sources can be separated from each other and separately stored and managed, or an initial sound source can be stored and managed.
    • 一种声源分离的系统和方法。 该系统和方法使用波束成形技术。 声源分离系统包括开窗处理器; DFT变压器; 传递函数估计器; 和噪声估计器。 该系统还包括语音信号提取器,除了从各个语音信号中提取的单个语音信号之外,还可以从集成语音信号中消除各个语音信号。 该系统还包括语音信号检测器,该语音信号检测器根据期望被检测的单独语音信号的传递函数来消除通过噪声估计器提供的噪声部分,并提取噪声消除的个体语音信号。 即使当同时输入两个或更多个声源时,声源可以彼此分开并分开存储和管理,或者可以存储和管理初始声源。
    • 6. 发明授权
    • Face recognition system and method based on adaptive learning
    • 基于自适应学习的人脸识别系统和方法
    • US08135220B2
    • 2012-03-13
    • US12115250
    • 2008-05-05
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • Hyun-Soo KimJe-Han YoonHyun-Sik ShimYoung-Hee ParkDo-Hyung KimWoo-Han Yun
    • G06K9/62G06K9/00
    • G06K9/00295
    • A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.
    • 基于自适应学习的面部识别系统包括用于从运动图像中检测和跟踪特定人物的特定人物检测和跟踪单元。 面部特征提取单元从检测到和跟踪的特定人物中提取多个面部特征向量。 面部识别单元通过将提取的面部特征向量与先前存储在用户登记模型数据库中的登记模型的面部特征向量进行比较来搜索给定的登记模型。 学习目标选择单元从所提取的面部特征向量中选择要添加到给定登记模型的记录的面部特征向量。 注册模型学习单元将所选择的面部特征向量添加并更新到给定注册模型的记录。
    • 8. 发明授权
    • Sound processing apparatus and method
    • 声音处理装置及方法
    • US08073148B2
    • 2011-12-06
    • US11479472
    • 2006-06-30
    • Hyun-Soo Kim
    • Hyun-Soo Kim
    • A61F11/06
    • G10L21/0208
    • Disclosed is an apparatus and method for processing signals such as sound signals. The sound processing apparatus includes a sound signal input unit for receiving sound signals, a harmonic noise separator for separating a harmonic region and a noise region from the received sound signals, a noise restraint index determination unit for determining an optimal noise restraint index k according to a system and circumstance, and a noise restrainer for restraining the separated noise region depending on the noise restraint index k so as to output noise attenuated signals.
    • 公开了一种用于处理诸如声音信号的信号的装置和方法。 声音处理装置包括:用于接收声音信号的声音信号输入单元,用于从接收的声音信号中分离谐波区域和噪声区域的谐波噪声分离器;噪声抑制指标确定单元,用于根据 系统和环境,以及用于根据噪声抑制指数k抑制分离的噪声区域以便输出噪声衰减信号的噪声抑制器。