-
公开(公告)号：KR1020140079524A
公开(公告)日：2014-06-27
申请号：KR1020120146697
申请日：2012-12-14
Applicant: 한국전자통신연구원
CPC classification number: Y02D70/00 , H04W56/001 , H04W84/18
Abstract: Provided is a visual synchronization method of a sensor node repeating operation and a slip according to a fixed period to operate in a low power environment. The present invention provides stable visual information for the sensor node operated in an outer environment by revising a clock skew generated due to different oscillators of each sensor node.
Abstract translation: 提供了传感器节点重复操作的视觉同步方法和根据固定时间段在低功率环境中操作的滑移。 本发明通过修改由于每个传感器节点的不同振荡器产生的时钟偏差来为在外部环境中操作的传感器节点提供稳定的视觉信息。
-
公开(公告)号：KR1020140077422A
公开(公告)日：2014-06-24
申请号：KR1020120146227
申请日：2012-12-14
Applicant: 한국전자통신연구원
IPC: G10L15/14
CPC classification number: G10L15/14 , G10L19/038 , G10L21/02 , G10L2015/025
Abstract: A method for improving a voice recognition performance according to an embodiment of the present invention is provided to improve a voice recognition performance for a voice inputted under noise circumstances based on at least a single voice recognition feature vector. The method for improving a voice recognition performance according to an embodiment of the present invention includes the steps of: extracting at least two or more feature vectors according to at least two or more sound models which are set by each phoneme for an inputted Korean voice; extracting an observation probability value by each phoneme through the previous feature vectors of at least two or more sound models and at least two or more feature vectors which are preset for an integrated sound model activated in a viterbi decoder; and resetting the integrated sound model based on the extracted observation probability value by each phoneme, and re-recognizing the Korean voice by each phoneme.
Abstract translation: 提供了根据本发明的实施例的用于提高语音识别性能的方法，用于基于至少单个语音识别特征向量来改善在噪声环境下输入的语音的语音识别性能。 根据本发明实施例的用于提高语音识别性能的方法包括以下步骤：根据由输入的韩语语音的每个音素设置的至少两个或多个声音模型提取至少两个或更多个特征向量; 通过至少两个或多个声音模型的先前特征向量和至少两个或更多个为维特比解码器中激活的综合声音模型预设的特征向量提取每个音素的观测概率值; 并根据每个音素提取的观察概率值重新设置综合声音模型，并通过每个音素重新识别韩语声音。
-
公开(公告)号：KR1020140059601A
公开(公告)日：2014-05-16
申请号：KR1020120126211
申请日：2012-11-08
Applicant: 한국전자통신연구원
CPC classification number: G10L15/02 , G10L21/0272 , G10L21/038
Abstract: Disclosed is a method for improving automatic voice recognition performance using an intra frame feature. According to the present invention, the method for improving automatic voice recognition performance using an intra frame feature includes: a step of collecting speech signals and preprocessing the collected speech signals by boosting or attenuating the signals; a step of dividing the preprocessed speech signals by threshold band using a gamma-tone filter bank and channelizing signals in each threshold band; a step of frame-blocking the channelized speech signals with a frame shift size of 10 ms and a frame size of 20 - 25 ms; a step of hamming-windowing each blocked channel and extracting a predefined amount of data from the predefined section; a step of estimating signal intensity from the extracted data based on time-frequency and estimating energy based on the estimated signal intensity; a step of getting Cepstral coefficients and derivatives through logarithmic operation and discrete cosine transform for the estimated energy; a step of performing sub-frame analysis for the preprocessed speech signals and extracting intra frame features from the sub-frame analyzed speech signals; and a step of getting voice recognition features by combining the Cepstral coefficients, the derivatives, and the intra frame features.
Abstract translation: 公开了一种使用帧内特征来提高自动语音识别性能的方法。 根据本发明，使用帧内特征提高自动语音识别性能的方法包括：通过增强或衰减信号来收集语音信号和预处理所收集的语音信号的步骤; 使用伽马色调滤波器组将预处理的语音信号除以阈值频带并在每个阈值频带中信道化信号的步骤; 以10ms的帧移位大小和20-25ms的帧大小帧阻塞信道化语音信号的步骤; 对每个被阻塞的信道进行汉明开窗，并从预定义的部分提取预定量的数据; 基于时间频率从所提取的数据估计信号强度的步骤，并且基于所估计的信号强度估计能量; 通过对数运算和离散余弦变换获得倒频谱系数和导数的估计能量的步骤; 对所述预处理语音信号进行子帧分析并从所述子帧分析的语音信号中提取帧内特征的步骤; 以及通过组合倒频谱系数，导数和帧内特征来获得语音识别特征的步骤。
-
公开(公告)号：KR1020140059114A
公开(公告)日：2014-05-15
申请号：KR1020130073803
申请日：2013-06-26
Applicant: 한국전자통신연구원
IPC: G06Q50/02
Abstract: The present invention relates to a method for managing a location of operating device in a plant factory and an apparatus thereof. The method for managing a location of operating devices in a plant factory includes registering, in a sensor network, a plurality of operating devices and sensors installed at a plant factory; generating sensor IDs of the operating devices and sensors registered in the sensor network; and registering location information of the operating devices and the sensors based on the generated sensor IDs.
Abstract translation: 本发明涉及一种用于管理工厂中的操作装置的位置的方法及其装置。 用于管理工厂中的操作装置的位置的方法包括在传感器网络中登记安装在工厂的多个操作装置和传感器; 生成登记在传感器网络中的操作装置和传感器的传感器ID; 以及基于所生成的传感器ID登记操作装置和传感器的位置信息。
-
公开(公告)号：KR101336441B1
公开(公告)日：2013-12-04
申请号：KR1020100123796
申请日：2010-12-06
Applicant: 한국전자통신연구원
CPC classification number: H04L1/0007 , H04L1/0026 , H04W8/22 , H04W28/06
Abstract: 링크 품질 지표(Link Quality Indicator; LQI) 에 기초하여 전송 프레임의 길이를 결정하는 방법 및 장치가 제공된다. 대상 송신기는 LQI를 대상 수신기에게 요청하고, 대상 수신기는 LQI에 대한 정보를 대상 송신기로 전송한다. 대상 송신기는 LQI를 기초로 전송 프레임의 길이를 결정한다. 대상 송신기는 LQI 값에 비례하도록 전송 프레임의 길이를 결정할 수 있다.
-
Patent Agency Ranking
公开(公告)号：KR1020130118142A
公开(公告)日：2013-10-29
申请号：KR1020120041109
申请日：2012-04-19
Applicant: 한국전자통신연구원
IPC: G06Q50/32
CPC classification number: G06K17/00 , G06K2209/01 , G07B17/00193 , G07B2017/00225 , G07B2017/0062 , G07B2017/00701 , G07B2017/00725
Abstract: PURPOSE: A mail reception processing apparatus is provided to enable a customer to directly process mail reception, thereby improving the efficiency of postal service processing. CONSTITUTION: An image processing part (12) recognizes a postal address written on a mail item by photographing the mail item. A weight measuring part (13) measures the weight of the mail item. A postal address information input part (18) receives a postal address from an external storage device. A postal charge information storing part stores postal charge information. A charge payment part (21) receives the payment of a postal charge by being linked with a financial server. A label attaching unit prints the postal addresses of a sender and an addressee and a registration barcode on a label and attaches the label to the mail item. [Reference numerals] (11) Postal matter input part; (12) Image processing part; (13) Weight measuring part; (14) Part for discharging postal matters with problems; (15) Intermediate loading part; (16) Label attaching device; (17) Loader; (18) Postal address information input part; (19) Postal cost information storage part; (20) Interface part; (200) Financial server; (21) Charge payment part; (22) Bill printer; (23) Voice output part; (24) Integrated control part; (300) Postal matter processing information server
Abstract translation: 目的：提供邮件接收处理装置，使客户能够直接处理邮件接收，从而提高邮政服务处理的效率。 构成：图像处理部分（12）通过拍摄邮件项来识别写在邮件项目上的邮政地址。 重量测量部件（13）测量邮件项目的重量。 邮政地址信息输入部（18）从外部存储装置接收邮政地址。 邮政信息存储部分存储邮政费用信息。 付费部分（21）通过与金融服务器链接来接收邮政费用的支付。 标签附着单元将标签上的发送者，收件人和注册条形码的邮政地址打印到邮件项目上。 （附图标记）（11）邮件输入部; （12）图像处理部分; （13）重量测量部件; （14）解除邮件问题的部分; （15）中间装载部分; （16）贴标装置; （17）装载机; （18）邮政地址信息输入部分; （19）邮政成本信息存储部分; （20）接口部分; （200）金融服务器; （21）付款部分; （22）票据打印机; （23）语音输出部分; （24）综合控制部分; （300）邮件处理信息服务器
-
公开(公告)号：KR1020130068598A
公开(公告)日：2013-06-26
申请号：KR1020110135888
申请日：2011-12-15
Applicant: 한국전자통신연구원
CPC classification number: G09B19/06 , G09B5/04 , G09B7/04 , G10L15/005 , G10L15/26
Abstract: PURPOSE: A pronunciation evaluation device and a method are provided to evaluate foreign language pronunciations using an acoustic model of a foreign language learner, pronunciations generated using a pronunciation model in which pronunciation errors are reflected, and an acoustic model of a native speaker, thereby increasing the accuracy of the pronunciation generated for the sound of the foreign language learner. CONSTITUTION: A pronunciation evaluation device(100) includes a sound input part(110), a sentence input part(120), a storage part(130), a pronunciation generation part(140), a pronunciation evaluation part(150), and an output part(160). The sound input part receives the sound of a foreign language learner, and the sentence input part receives a sentence corresponding to the sound of the foreign language learner. The storage part stores an acoustic model for the sound of the foreign language learner and a pronunciation dictionary for the sound of the foreign language learner. The pronunciation generation part performs sound recognition based on the acoustic model and pronunciation dictionary for the sound of the foreign language learner stored in the storage part. The pronunciation evaluation part detects the vocalization errors by analyzing the pronunciations for the sound of the foreign language learner. The output part outputs the vocalization errors of the foreign language learner detected from the pronunciation evaluation part. [Reference numerals] (110) Sound input part; (120) Sentence input part; (130) Storage part; (140) Pronunciation generation part; (150) Pronunciation evaluation part; (160) Output part
Abstract translation: 目的：提供一种发音评价装置和方法，以使用外语学习者的声学模型评估外语发音，使用其中反映发音错误的发音模型产生的发音和母语者的声学模型，从而增加 为外语学习者的声音产生的发音的准确性。 发音评价装置（100）包括声音输入部（110），句子输入部（120），存储部（130），发音生成部（140），发音评价部（150） 输出部分（160）。 声音输入部分接收外语学习者的声音，并且句子输入部分接收与外语学习者声音相对应的句子。 存储部分存储外语学习者的声音的声学模型和用于外语学习者的声音的发音词典。 发音生成部基于存储在存储部中的外语学习者的声音的声学模型和发音字典进行声音识别。 发音评价部分通过分析外语学习者的声音发音来检测发音错误。 输出部分输出从发音评价部分检测到的外语学习者的发声错误。 （附图标记）（110）声音输入部; （120）句子输入部分; （130）储存部分; （140）发音生成部分; （150）发音评价部分; （160）输出部分
-
公开(公告)号：KR101243299B1
公开(公告)日：2013-03-13
申请号：KR1020090073478
申请日：2009-08-10
Applicant: 한국전자통신연구원
CPC classification number: G07B17/00508 , G07B2017/00588
Abstract: 우편물 무인 접수 장치는 고객이 접수하고자 하는 통상 및 등기 우편물에 대한 검증을 수행한 후, 검증된 통상 및 등기 우편물에 대한 우편 요금을 결재하고, 우편 요금의 결재가 완료되면, 우편물에 전자 소인 정보를 표시한다.
우편물, 전자 소인, 온라인 우표, 검증-
公开(公告)号：KR1020120072145A
公开(公告)日：2012-07-03
申请号：KR1020100133957
申请日：2010-12-23
Applicant: 한국전자통신연구원
CPC classification number: G10L15/02 , G10L15/04 , G10L15/142
Abstract: PURPOSE: A voice recognizing method and a device thereof are provided to obtain features about both a short section and a long section of a voice wherein features of time are reflected to the long section. CONSTITUTION: A segment dividing unit(531) partitions a voice signal into segment sections. A temporal length of a segment section is longer than a temporal length of a frame section. A segment feature extracting unit(532) extracts a segment voice feature vector around a partition boundary portion of the segment section. A segment voice recognizing unit(533) recognizes a voice using the segment voice feature vector and a segment based probability model. A combination synchronizing unit(540) combines a voice recognizing result of a frame based voice recognizing unit with a voice recognizing result of the segment voice recognizing unit.
Abstract translation: 目的：提供语音识别方法及其装置，以获得关于时间的特征被反映到长部分的语音的短部分和长部分的特征。 构成：段划分单元（531）将语音信号分割成段区段。 段段的时间长度比帧段的时间长度长。 分段特征提取单元（532）提取分段段的分割边界部分周围的分段语音特征向量。 段语音识别单元（533）使用段语音特征向量和基于段的概率模型识别语音。 组合同步单元（540）将基于帧的语音识别单元的语音识别结果与段语音识别单元的语音识别结果组合。
-
公开(公告)号：KR1020120043552A
公开(公告)日：2012-05-04
申请号：KR1020100104894
申请日：2010-10-26
Applicant: 한국전자통신연구원
IPC: G10L15/14
Abstract: PURPOSE: A voice recognition apparatus and a method thereof are provided to increase recognition speed of an input signal and to perform recognition of an input signal in parallel. CONSTITUTION: A global database unit(10) includes a global feature vector(12), a global vocabulary model(14), and a global sound model(16). A recognition unit(20) includes separated recognition units(22a~22n). A plurality of separate recognition units performs voice recognition in parallel. A separate database unit(30) includes separate language models. A collection and evaluation unit(40) collects and evaluates the recognition result of the separate recognition unit.
Abstract translation: 目的：提供一种语音识别装置及其方法，以增加输入信号的识别速度并且并行执行输入信号的识别。 构成：全局数据库单元（10）包括全局特征向量（12），全球词汇模型（14）和全局声音模型（16）。 识别单元（20）包括分离的识别单元（22a〜22n）。 多个单独的识别单元并行执行语音识别。 单独的数据库单元（30）包括单独的语言模型。 收集和评估单元（40）收集并评估单独识别单元的识别结果。
-
-
-
-
-
-
-
-
-
Search Results
290
records
(took 0.022 seconds)
