고립어 엔베스트 인식결과를 위한 발화검증 방법 및 장치
    151.
    发明公开
    고립어 엔베스트 인식결과를 위한 발화검증 방법 및 장치 失效
    用于隔离词识别结果的UTTERANCE验证方法和设备

    公开(公告)号:KR1020100073161A

    公开(公告)日:2010-07-01

    申请号:KR1020080131755

    申请日:2008-12-22

    CPC classification number: G10L15/187 G10L15/10

    Abstract: PURPOSE: An utterance verification method and device for isolated word an NBEST recognition result are provided to enable more reliable voice recognition by displaying the acceptance/refusal or decision failure of voice recognition by measuring inter-phoneme similarity through DTW(Dynamic Time Warping). CONSTITUTION: A pre-processing unit(104) performs feature extraction and end point detection for detecting voice section and noise processing section. An NBEST voice recognition unit(106) perform an NBEST voice recognition through a viterbi speech in consideration of a context-subordinate sound model(26). An NBEST speech verification unit(108) compares the result of an SVM(Support Vector Machine) with the similarity result to measure the similarity of voice recognition result. Therefore, the NBEST speech verification unit displays the acceptance, refusal and decision failure for the voice recognition result.

    Abstract translation: 目的:提供一种用于隔离词的话语验证方法和设备,其包括NBEST识别结果,以通过通过DTW(动态时间扭曲)测量语音间相似度来显示语音识别的接受/拒绝或决策失败来实现更可靠的语音识别。 构成:预处理单元(104)执行用于检测语音段和噪声处理部分的特征提取和终点检测。 考虑到上下文从属声音模型(26),NBEST语音识别单元(106)通过维特比语音执行NBEST语音识别。 NBEST语音验证单元(108)将SVM(支持向量机)的结果与相似度结果进行比较,以测量语音识别结果的相似度。 因此,NBEST语音验证单元显示语音识别结果的接受,拒绝和决策失败。

    다채널 잡음처리 장치 및 방법
    152.
    发明公开
    다채널 잡음처리 장치 및 방법 有权
    多通道噪声减少的方法和装置

    公开(公告)号:KR1020100072746A

    公开(公告)日:2010-07-01

    申请号:KR1020080131238

    申请日:2008-12-22

    Abstract: PURPOSE: A method and an apparatus for reducing a multi channel noise are provided to selectively apply beam-forming method and sound source separating method according to environment condition among multi-channel noises processing based on multi-channel voice recognition environment thereby maximizing noise processing performance. CONSTITUTION: A noise environment monitoring unit(210) grasps the number of sound source and background sound source and relative location information of user voice. According to how many information of the sound source and the relative location information of the background sound source and the user voice, a multi-channel noise processor(220) selects multi-channel noise processing methods among a plurality of multi-channel noises processing modes. The multi-channel noise processor performs noises processing by selected multi-channel noise processing method.

    Abstract translation: 目的:提供一种降低多通道噪声的方法和装置,以便根据多声道噪声处理,根据环境条件选择性地应用波束形成方法和声源分离方法,从而使噪声处理性能最大化 。 构成:噪声环境监测单元(210)掌握用户声音的声源和背景声源的数量和相对位置信息。 根据声源的多少信息和背景声源和用户声音的相对位置信息,多声道噪声处理器(220)在多个多声道噪声处理模式中选择多声道噪声处理方法 。 多声道噪声处理器通过选择的多声道噪声处理方法进行噪声处理。

    네비게이션 기기에서 음성인식 대상 키워드의 생성장치 및 방법
    153.
    发明公开
    네비게이션 기기에서 음성인식 대상 키워드의 생성장치 및 방법 有权
    用于在导航设备中生成关于语音识别的关键词的装置和方法

    公开(公告)号:KR1020100072731A

    公开(公告)日:2010-07-01

    申请号:KR1020080131221

    申请日:2008-12-22

    CPC classification number: G01C21/3608 G01C21/3611 G01C21/3679 G10L15/26

    Abstract: PURPOSE: An apparatus for generating keyword for speech recognition for a navigation device is provided to enable a retrieval service of POI through voice by automatically producing the allomorph of POI which a user can say to a navigation device. CONSTITUTION: An apparatus for generating keyword for speech recognition in navigation device comprises a statistical model studying unit(202) and an allomorph generating unit. The statistical model studying unit analyzes the POI character strings. The statistical model studying unit builds probability value as statistical information. The allomorph generating unit creates the allomorphs on POI name using the statistical information.

    Abstract translation: 目的:提供一种用于为导航装置生成用于语音识别的关键词的装置,以通过自动产生用户可以对导航装置说的POI的变体,从而通过语音实现POI的检索服务。 构成:用于在导航装置中生成用于语音识别的关键词的装置,包括统计模型研究单元(202)和变形生成单元。 统计模型研究单位分析POI字符串。 统计模型研究单位建立概率值作为统计信息。 变异生成单元使用统计信息在POI名称上创建变形。

    음성인식을 기반으로 하는 접수정보 획득 방법 및 그 시스템
    154.
    发明公开
    음성인식을 기반으로 하는 접수정보 획득 방법 및 그 시스템 有权
    基于语音识别获取邮件接受信息的系统和方法

    公开(公告)号:KR1020100068851A

    公开(公告)日:2010-06-24

    申请号:KR1020080127349

    申请日:2008-12-15

    CPC classification number: G10L15/26

    Abstract: PURPOSE: A system and a method of obtaining mail acceptance information based on voice recognition are provided to solve the inconvenience of the receipt of the predetermined information in the offline. CONSTITUTION: A conversion module(200) extracts the address information of destination in which the post should be sent from the voice receiving information. The conversion module converts the extracted address information into the voice address information. A matching module(300) matches the voice address information and the previously saved address information. The matching module produces the computed reception information. A confirmation module(400) confirms whether the computed reception information is the same information as the voice of user or not. A receive module(600) receives the filing number corresponding to the computed reception information.

    Abstract translation: 目的:提供一种基于语音识别获取邮件接收信息的系统和方法,以解决在离线时收到预定信息的不便。 构成:转换模块(200)从语音接收信息中提取应发送该帖子的目的地的地址信息。 转换模块将提取的地址信息转换成语音地址信息。 匹配模块(300)匹配语音地址信息和先前保存的地址信息。 匹配模块产生计算的接收信息。 确认模块(400)确认所计算的接收信息是否是与用户的语音相同的信息。 接收模块(600)接收与所计算的接收信息相对应的归档号码。

    음성과 잡음 신호 분리 방법 및 그 장치
    155.
    发明公开
    음성과 잡음 신호 분리 방법 및 그 장치 有权
    从音频信号中分离噪声的方法

    公开(公告)号:KR1020100066916A

    公开(公告)日:2010-06-18

    申请号:KR1020080125433

    申请日:2008-12-10

    Abstract: PURPOSE: A method for separating noise from an audio signal is provided to increase performance of sound source separation and increase convergence speed in a weighted learning stage, thereby increasing calculation efficiency. CONSTITUTION: A plurality of microphones records an audio signal that a user speaks and a noise signal. A beam former(20) performs a beam forming process and a blind processing separation procedure for the recorded audio signal and noise signal. The beam former spatially and statistically divides the audio signal and the noise signal. A sound source separator(30) separates the sound source signal and outputs the separated sound source signal.

    Abstract translation: 目的:提供一种从音频信号中分离噪声的方法,以增加声源分离的性能,增加加权学习阶段的收敛速度,从而提高计算效率。 构成:多个麦克风记录用户说话的音频信号和噪声信号。 波束成形器(20)对记录的音频信号和噪声信号执行波束形成处理和盲目处理分离程序。 波束形成器在空间和统计学上划分音频信号和噪声信号。 声源分离器(30)分离声源信号并输出​​分离的声源信号。

    지그비 네트워크에서의 라우팅 경로 설정 방법 및 장치
    156.
    发明公开
    지그비 네트워크에서의 라우팅 경로 설정 방법 및 장치 失效
    ZIGBEE网络中的路由方法和设备

    公开(公告)号:KR1020100066828A

    公开(公告)日:2010-06-18

    申请号:KR1020080125311

    申请日:2008-12-10

    CPC classification number: G06F15/173 Y02D30/20

    Abstract: PURPOSE: A routing path setting method and an apparatus thereof on a zigbee network for performing routing path setup in an energy efficient environment are provided to utilize a zigbee network in various fields by using a mesh routing method based on AODV(Ad-hoc On-demand Distance Vector). CONSTITUTION: A route request command is received(S910). The route is set up with reference to slip information of the device located in a destination device(S950). The slip information of the device is information about the low-power standby state of the device. The slip information is broadcasted to a neighbor device.

    Abstract translation: 目的:提供一种用于在能量效率环境中执行路由路径建立的Zigbee网络上的路由路径设置方法及其装置,以便通过使用基于AODV(Ad-hoc On- 需求距离矢量)。 构成:接收到路由请求命令(S910)。 参照目的地设备中的设备的滑动信息设置路由(S950)。 设备的滑动信息是关于设备的低功率待机状态的信息。 传送信息被广播到相邻设备。

    음성 인식 정보 생성 장치 및 음성 인식 정보 생성 방법, 이를 이용한 방송 서비스 방법
    157.
    发明公开
    음성 인식 정보 생성 장치 및 음성 인식 정보 생성 방법, 이를 이용한 방송 서비스 방법 失效
    创作装置及其语音识别信息的方法,使用其广播服务方法

    公开(公告)号:KR1020100026187A

    公开(公告)日:2010-03-10

    申请号:KR1020080085095

    申请日:2008-08-29

    Abstract: PURPOSE: A voice recognition information generation device, a method thereof, and a broadcast service method thereof are provided to generate a database from allomorph character string, thereby offering a broadcast service according to voice recognition. CONSTITUTION: A voice recognition information generation device includes a prior matching unit(302), a section boundary partition unit(308), a normalization unit(310), and an allomorph generation unit(312). The prior matching unit performs prior matching according to character string information of broadcast data. The section boundary partition unit partitions the section boundary of a character string of which prior matching is performed in order to generate voice recognition target character string data. The normalization unit normalizes generated voice recognition target character string. The allomorph generation unit generates allomorph character string data from normalized voice recognition target character string data.

    Abstract translation: 目的:提供一种语音识别信息生成装置,其方法和广播服务方法,以从变形字符串生成数据库,从而根据语音识别提供广播服务。 构成:语音识别信息生成装置包括先验匹配单元(302),区间边界分割单元(308),归一化单元(310)和变形函数生成单元(312)。 先前的匹配单元根据广播数据的字符串信息执行先前的匹配。 区段边界分割单元对执行了先前匹配的字符串的区域边界进行分割,以便生成语音识别目标字符串数据。 归一化单元对生成的语音识别目标字符串进行归一化。 变形生成单元从归一化的语音识别目标字符串数据生成变形字符串数据。

    무선 센서 네트워크 시스템의 비콘 모드에서의 센서노드의방송장치, 방송방법, 방송응답장치 및 방송응답방법
    158.
    发明授权
    무선 센서 네트워크 시스템의 비콘 모드에서의 센서노드의방송장치, 방송방법, 방송응답장치 및 방송응답방법 失效
    无线传感器网络系统上信标启用模式的传感器节点的广播设备,广播方法,应答设备和应答方法

    公开(公告)号:KR100943176B1

    公开(公告)日:2010-02-19

    申请号:KR1020070124375

    申请日:2007-12-03

    Abstract: 무선 센서 네트워크 시스템의 비콘 모드에서의 센서노드의 방송장치, 방송방법, 방송응답장치 및 방송응답방법이 개시된다. 이 방송장치 및 방법은 소속된 각 노드가 시분할된 타임슬롯을 할당받아 수신기능을 활성화하고 센싱 데이터를 전송하는 무선 센서 네트워크 시스템에 센서노드의 가입을 신청하는 가입신청메시지를 전송하고, 시분할된 타임슬롯 중에서 가입신청메시지를 수신한 무선 센서 네트워크 시스템에 속한 노드 모두의 수신기능이 동시에 활성화되는 방송타임슬롯을 가리키는 정보를 포함하는 비콘프레임을 수신하고, 방송타임슬롯 동안 방송데이터를 전송한다. 본 발명에 따르면, 무선 센서 네트워크 시스템의 비콘모드에서 효율적으로 방송 데이터를 전달할 수 있다.
    무선 센서 네트워크 (Wireless sensor network), PAN(Personal area network), 비콘모드(Beacon Enable Mode)

    Abstract translation: 提供了一种用于在包括多个节点的无线传感器网络系统中以信标模式广播数据的装置和方法以及用于广播响应数据的装置和方法。 根据用于广播数据的装置和方法,向无线传感器网络系统发送请求许可传感器节点的准入申请消息,其中分配时隙被分配给无线传感器网络系统的每个节点 其中,在时分时隙中,节点的接收功能被激活并且发送感测数据; 接收到信标帧,其包括指示时分时隙之间的广播时隙的信息,其中在广播时隙中,已经接收到准入应用的无线传感器网络系统的每个节点的接收功能 消息,同时激活; 并且在广播时隙期间发送广播数据。 因此,能够以无线传感器网络系统的信标模式有效地发送广播数据。

    장비 점검 장치 및 장비 점검 방법
    159.
    发明公开
    장비 점검 장치 및 장비 점검 방법 有权
    设备检查的装置和方法

    公开(公告)号:KR1020100013788A

    公开(公告)日:2010-02-10

    申请号:KR1020080075463

    申请日:2008-08-01

    CPC classification number: G06K7/0008

    Abstract: PURPOSE: A method and apparatus for checking equipment are provided to collect information using RFID(radio frequency identification) tag and accurately and quickly check various kinds of equipment. CONSTITUTION: An apparatus for checking equipment is able to recognize office information of specific office position. Specific office-equipment information(120) is searched using the recognized office information. The office-equipment information inform movement of at least one equipment. A device for collecting equipment information is able to collect at least one equipment information. Also, the updated information is received from the device.

    Abstract translation: 目的:提供一种用于检查设备的方法和装置,用于使用RFID(射频识别)标签收集信息,并准确快速地检查各种设备。 规定:用于检查设备的装置能够识别特定办公室位置的办公室信息。 使用公认的办公信息搜索特定的办公室设备信息(120)。 办公设备信息通知至少一台设备的运动。 用于收集设备信息的设备能够收集至少一个设备信息。 此外,从设备接收更新的信息。

    음성 인식기의 성능 평가 장치 및 그 방법
    160.
    发明授权
    음성 인식기의 성능 평가 장치 및 그 방법 有权
    음성인식기의성능평가장치및그방법

    公开(公告)号:KR100930039B1

    公开(公告)日:2009-12-07

    申请号:KR1020070133217

    申请日:2007-12-18

    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N个用于评估的测试语音信号的语音数据库。 语音识别器位于实际环境中,并且在实际环境中从语音数据库执行使用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。 性能评估模块通过比较正确的识别结果答案和语音识别结果来评估语音识别的性能。

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