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    • 1. 发明申请
    • Speech recognition system for automatically controlling input level and speech recognition method using the same
    • 用于自动控制输入电平和语音识别方法的语音识别系统
    • US20060122831A1
    • 2006-06-08
    • US11262843
    • 2005-11-01
    • Myeong-Gi JeongHyun-Sik ShimJong-Chang LeeKwang-Choon Kim
    • Myeong-Gi JeongHyun-Sik ShimJong-Chang LeeKwang-Choon Kim
    • G10L15/00
    • G10L25/78G10L2025/786H03G3/32
    • A speech recognition system comprises: a speech pickup element for picking up speech from an external speaker; a speech level controller for receiving the picked up speech at a speech input level provided by a speech recognizer, and outputting the received speech to the speech recognizer; a speech detector for detecting a speech signal period needed for speech recognition from the speech output from the speech receiver; a speech saturation detector for determining, based on the threshold value, whether the speech signal in the detected speech signal period is saturated; and an input level determiner for determining a new speech input level, and outputting information on the new speech input level to the speech receiver when the speech signal in the speech signal period is saturated, whereby the speech receiver receives the speech in a unsaturated state. A speech recognition method comprises steps corresponding to the functions of the system as specified above.
    • 语音识别系统包括:用于从外部扬声器拾取语音的语音拾取元件; 语音级控制器,用于在由语音识别器提供的语音输入电平上接收所拾取的语音,并将接收的语音输出到语音识别器; 语音检测器,用于从语音接收器输出的语音中检测语音识别所需的语音信号周期; 语音饱和检测器,用于基于所述阈值来确定所检测到的语音信号周期中的语音信号是否饱和; 以及用于确定新的语音输入电平的输入电平确定器,并且当语音信号周期中的语音信号饱和时,将关于新的语音输入电平的信息输出到语音接收机,由此语音接收机接收不饱和状态的语音。 语音识别方法包括与上述系统的功能相对应的步骤。
    • 3. 发明申请
    • Distributed speech recognition system and method
    • 分布式语音识别系统及方法
    • US20060053009A1
    • 2006-03-09
    • US11200203
    • 2005-08-10
    • Myeong-Gi JeongMyeon-Kee YounHyun-Sik Shim
    • Myeong-Gi JeongMyeon-Kee YounHyun-Sik Shim
    • G10L15/20
    • G10L15/30G10L25/78
    • A distributed speech recognition system and method thereof in accordance with the present invention enables a word and a natural language to be recognized using detection of a pause period in a speech period in an inputted speech signal, and various groups of recognition vocabulary (for example, a home speech recognition vocabulary, a telematics vocabulary for a vehicle, a vocabulary for call center, and so forth) to be processed in the same speech recognition system by determining the recognition vocabulary required by a corresponding terminal using an identifier of the terminal since various terminals require various speech recognition targets. In addition, various types of channel distortion occurring due to the type of terminal and the recognition environment are minimized by adapting them to a speech database model using a channel estimation method so that the speech recognition performance is enhanced.
    • 根据本发明的分布式语音识别系统及其方法使得能够使用输入的语音信号中的语音周期中的暂停时段的检测来识别单词和自然语言,以及各种识别词汇组(例如, 家庭语音识别词汇,用于车辆的远程信息处理词汇表,呼叫中心的词汇表等)在同一语音识别系统中通过使用终端的标识符来确定相应终端所需的识别词汇,因为各种 终端需要各种语音识别目标。 此外,通过使用信道估计方法使它们适应于语音数据库模型,使得由于终端类型和识别环境而发生的各种类型的信道失真被最小化,从而增强了语音识别性能。
    • 5. 发明申请
    • Wireless communication system and method for preventing mutual interference between wireless communication channels
    • 用于防止无线通信信道之间的相互干扰的无线通信系统和方法
    • US20060268785A1
    • 2006-11-30
    • US11439942
    • 2006-05-24
    • Jong-Ho ParkHyun-Sik ShimJong-Chang Lee
    • Jong-Ho ParkHyun-Sik ShimJong-Chang Lee
    • H04Q7/00
    • H04W36/12
    • Disclosed is a method for preventing mutual interference between wireless communication channels in a wireless communication system that includes at least one station, at least one AP connected to said at least one station, and a server. The method includes periodically checking by each AP wireless communication connection information on wireless communication setup with said at least one station; receiving by the server the wireless communication connection information from said at least one AP; analyzing by the server the received wireless communication connection information, determining if there exist an AP and stations connected to the AP, and generating a setup change message; transmitting by the server the generated setup change message to the AP and the stations; and receiving by the AP and the stations connected to the AP the setup change message, and changing the wireless communication setup based on the setup change message.
    • 公开了一种防止无线通信系统中的无线通信信道之间的相互干扰的方法,所述无线通信系统包括至少一个站,连接到所述至少一个站的至少一个AP和服务器。 该方法包括通过每个AP无线通信连接周期性地检查与所述至少一个站的无线通信建立的信息; 由所述服务器接收来自所述至少一个AP的无线通信连接信息; 由服务器分析接收到的无线通信连接信息,确定是否存在连接到AP的AP和站,并生成建立改变消息; 由服务器发送生成的设置更改消息给AP和站; 以及由AP和连接到AP的站接收设置改变消息,以及基于设置改变消息来改变无线通信建立。
    • 6. 发明申请
    • Template-based face detection method
    • 基于模板的人脸检测方法
    • US20060104517A1
    • 2006-05-18
    • US11262842
    • 2005-11-01
    • Byoung-Chul KoJong-Chang LeeHyun-Sik Shim
    • Byoung-Chul KoJong-Chang LeeHyun-Sik Shim
    • G06K9/62G06K9/36
    • G06K9/00228
    • A template-based face detection method includes: producing an average face image from a face database, wavelet-converting the produced face image, and removing a low frequency component of high and low frequency components of the converted image, the low frequency component being sensitive to illumination; producing a face template with only high horizontal and vertical frequency components of the high frequency components; and retrieving an initial face position using the face template when an image is inputted, and detecting the face in a next frame by using, as a face template for the next frame, a template obtained by linearly combining the face template with a high frequency wavelet coefficient corresponding to the position of the face in a current frame. Thus, the method has a shortened calculation time for face detection, and can accurately detect a face irrespective of skin color and illumination.
    • 基于模板的人脸检测方法包括:从面部数据库产生平均脸部图像,对产生的面部图像进行小波变换,以及去除转换图像的高频和低频分量的低频分量,低频分量敏感 照明; 产生仅具有高频分量的高水平和垂直频率分量的面模板; 以及当输入图像时使用面部模板检索初始面部位置,并且通过使用作为下一帧的面部模板来检测下一帧中的脸部,通过将面部模板与高频小波线性组合而获得的模板 对应于当前帧中的脸部位置的系数。 因此,该方法具有缩短的脸部检测的计算时间,并且可以准确地检测脸部,而与肤色和照明无关。
    • 8. 发明申请
    • System and method for controlling movement of movable terminal for MiniCon
    • MiniCon可移动终端运动控制系统及方法
    • US20060155421A1
    • 2006-07-13
    • US11322266
    • 2006-01-03
    • Seung-Hyun BaekHyun-Sik ShimJong-Chang Lee
    • Seung-Hyun BaekHyun-Sik ShimJong-Chang Lee
    • G01M1/38G05B13/00
    • G05D1/0274G05D1/0225G05D1/0242G05D1/0246G05D23/1919
    • In a system and method for controlling the movement of a movable terminal for a MiniCon through a network, a temperature in a number of partitioned indoor spaces is maintained within a set temperature range desired by a user while the terminal moves in the indoor spaces. The system is provided with at least one MiniCon which performs air-conditioning, and includes: a movable terminal which docks with the MiniCon, and which moves along a predetermined path; and a server which communicates with the movable terminal via a local area network. The server sends, to the movable terminal, a control command for performance of air-conditioning in indoor spaces along the predetermined path. Accordingly, the MiniCon is enabled to freely move into at least one of a number of indoor spaces, and to perform air-conditioning, thereby improving air-conditioning efficiency and maximizing user convenience.
    • 在用于通过网络控制MiniCon的可移动终端的运动的系统和方法中,当终端在室内空间中移动时,多个分隔的室内空间中的温度保持在用户期望的设定温度范围内。 该系统设置有至少一个执行空调的MiniCon,并且包括:可移动终端,其与MiniCon对接并且沿预定路径移动; 以及经由局域网与可移动终端进行通信的服务器。 服务器向可动终端发送用于沿着预定路径在室内空间中执行空调的控制命令。 因此,MiniCon能够自由移动到多个室内空间中的至少一个,并且进行空调,从而提高空调效率并最大化用户便利性。
    • 10. 发明申请
    • FACE RECOGNITION SYSTEM AND METHOD BASED ON ADAPTIVE LEARNING
    • 基于自适应学习的面部识别系统和方法
    • US20080273766A1
    • 2008-11-06
    • 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
    • G06K9/00
    • 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。