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公开(公告)号：US20190318228A1
公开(公告)日：2019-10-17
申请号：US16260637
申请日：2019-01-29
发明人： Hyun Woo KIM , Ho Young JUNG , Jeon Gue PARK , Yun Keun LEE
摘要： Provided are an apparatus and method for a statistical memory network. The apparatus includes a stochastic memory, an uncertainty estimator configured to estimate uncertainty information of external input signals from the input signals and provide the uncertainty information of the input signals, a writing controller configured to generate parameters for writing in the stochastic memory using the external input signals and the uncertainty information and generate additional statistics by converting statistics of the external input signals, a writing probability calculator configured to calculate a probability of a writing position of the stochastic memory using the parameters for writing, and a statistic updater configured to update stochastic values composed of an average and a variance of signals in the stochastic memory using the probability of a writing position, the parameters for writing, and the additional statistics.
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公开(公告)号：US20210089933A1
公开(公告)日：2021-03-25
申请号：US16902513
申请日：2020-06-16
发明人： Hwajeon SONG , Hyun Woo KIM , Euisok CHUNG , Ho Young JUNG , Yunkeun LEE
摘要： An apparatus for learning procedural knowledge generates procedural knowledge data by connecting unit knowledge that is generated though each episode through interaction with a user, stores the procedural knowledge data generated from each episode in a short-term memory, estimates data to be long-term memorized from the procedural knowledge data stored in the short-term memory, converts the estimated data into long-term memory data, and stores the long-term memory data in a long-term memory.
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公开(公告)号：US20190325025A1
公开(公告)日：2019-10-24
申请号：US16217804
申请日：2018-12-12
发明人： Ho Young JUNG , Hyun Woo KIM , Hwa Jeon SONG , Eui Sok CHUNG , Jeon Gue PARK
摘要： Provided are a neural network memory computing system and method. The neural network memory computing system includes a first processor configured to learn a sense-making process on the basis of sense-making multimodal training data stored in a database, receive multiple modalities, and output a sense-making result on the basis of results of the learning, and a second processor configured to generate a sense-making training set for the first processor to increase knowledge for learning a sense-making process and provide the generated sense-making training set to the first processor.
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公开(公告)号：US20180247642A1
公开(公告)日：2018-08-30
申请号：US15697923
申请日：2017-09-07
发明人： Hyun Woo KIM , Ho Young JUNG , Jeon Gue PARK , Yun Keun LEE
CPC分类号： G10L15/16 , G06N3/08 , G06N3/084 , G10L15/02 , G10L15/04 , G10L21/04 , G10L25/84 , G10L2015/025 , G10L2015/027
摘要： The present invention relates to a method and apparatus for improving spontaneous speech recognition performance. The present invention is directed to providing a method and apparatus for improving spontaneous speech recognition performance by extracting a phase feature as well as a magnitude feature of a voice signal transformed to the frequency domain, detecting a syllabic nucleus on the basis of a deep neural network using a multi-frame output, determining a speaking rate by dividing the number of syllabic nuclei by a voice section interval detected by a voice detector, calculating a length variation or an overlap factor according to the speaking rate, and performing cepstrum length normalization or time scale modification with a voice length appropriate for an acoustic model.
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公开(公告)号：US20150221303A1
公开(公告)日：2015-08-06
申请号：US14595238
申请日：2015-01-13
发明人： Jeom Ja KANG , Hyung Bae JEON , Yun Keun LEE , Ho Young JUNG
摘要： Provided are a discussion learning system enabling a discussion learning to proceed based on a speech recognition system without an instructor and a method using the same, the discussion learning system including an learning content providing server configured to provide a discussion environment, extract speeches of learners joining a discussion, and generate speech information based on the extracted speeches, and a speech recognition server configured to perform a speech recognition with respect to each of the learners based on the speech information, determine a progress of the discussion based on a result of the speech recognition, and provide the learning content providing server with interpretation information for smoothly continuing the discussion.
摘要翻译： 提供了一种讨论学习系统，使得能够基于没有讲师的语音识别系统进行讨论学习，以及使用该语音识别系统的方法，所述讨论学习系统包括被配置为提供讨论环境的学习内容提供服务器，提取学习者加入的演讲 讨论，并基于所提取的演讲生成语音信息，以及语音识别服务器，被配置为基于语音信息对每个学习者执行语音识别，基于语音的结果来确定讨论的进度 识别，并提供学习内容为服务器提供解释信息，以顺利地继续讨论。
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6.发明申请公开(公告)号：US20200219166A1
公开(公告)日：2020-07-09
申请号：US16711934
申请日：2019-12-12
发明人： Hyun Woo KIM , Hwa Jeon SONG , Eui Sok CHUNG , Ho Young JUNG , Jeon Gue PARK , Yun Keun LEE
摘要： A method and apparatus for estimating a user's requirement through a neural network which are capable of reading and writing a working memory and for providing fashion coordination knowledge appropriate for the requirement through the neural network using a long-term memory, by using the neural network using an explicit memory, in order to accurately provide the fashion coordination knowledge. The apparatus includes a language embedding unit for embedding a user's question and a previously created answer to acquire a digitized embedding vector; a fashion coordination knowledge creation unit for creating fashion coordination through the neural network having the explicit memory by using the embedding vector as an input; and a dialog creation unit for creating dialog content for configuring the fashion coordination through the neural network having the explicit memory by using the fashion coordination knowledge and the embedding vector an input.
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公开(公告)号：US20200175119A1
公开(公告)日：2020-06-04
申请号：US16671773
申请日：2019-11-01
发明人： Eui Sok CHUNG , Hyun Woo KIM , Hwa Jeon SONG , Ho Young JUNG , Byung Ok KANG , Jeon Gue PARK , Yoo Rhee OH , Yun Keun LEE
摘要： Provided are sentence embedding method and apparatus based on subword embedding and skip-thoughts. To integrate skip-thought sentence embedding learning methodology with a subword embedding technique, a skip-thought sentence embedding learning method based on subword embedding and methodology for simultaneously learning subword embedding learning and skip-thought sentence embedding learning, that is, multitask learning methodology, are provided as methodology for applying intra-sentence contextual information to subword embedding in the case of subword embedding learning. This makes it possible to apply a sentence embedding approach to agglutinative languages such as Korean in a bag-of-words form. Also, skip-thought sentence embedding learning methodology is integrated with a subword embedding technique such that intra-sentence contextual information can be used in the case of subword embedding learning. A proposed model minimizes additional training parameters based on sentence embedding such that most training results may be accumulated in a subword embedding parameter.
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公开(公告)号：US20170270910A1
公开(公告)日：2017-09-21
申请号：US15207673
申请日：2016-07-12
发明人： Ho Young JUNG
CPC分类号： G10L15/063 , G06N3/04 , G06N3/08 , G10L15/02 , G10L15/16 , G10L2015/025
摘要： A pre-training apparatus and method for recognition speech, which initialize, by layers, a deep neural network to correct a node connection weight. The pre-training apparatus for speech recognition includes an input unit configured to receive speech data, a model generation unit configured to initialize a connection weight of a deep neural network, based on the speech data, and an output unit configured to output information about the connection weight. In order for a state of a phoneme unit corresponding to the speech data to be output, the model generation unit trains the connection weight by piling a plurality of hidden layers according to a determined structure of the deep neural network, applies an output layer to a certain layer between the plurality of hidden layers to correct the trained connection weight in each of the plurality of hidden layers, thereby initializing the connection weight.
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9.发明申请METHOD AND APPARATUS FOR GENERATING SUMMARIZED INFORMATION, AND SERVER FOR THE SAME 有权用于生成概要信息的方法和装置，以及用于其的服务器公开(公告)号：US20140132836A1
公开(公告)日：2014-05-15
申请号：US13850646
申请日：2013-03-26
发明人： Ho Young JUNG
IPC分类号： H04N5/067 , H04N21/233 , H04N7/00
CPC分类号： H04N7/007 , H04N21/233 , H04N21/242 , H04N21/8456 , H04N21/8549
摘要： The present invention relates to automatic summarization so as to recognize entire contents of multimedia data. A method of generating summarized information according to the present invention includes: generating index information on a specific audio signal or a specific video signal among input signals; synchronizing text information extracted from the input signal or received for the input signal with the index information; and generating first summarized information by using the synchronized text information and index information.
摘要翻译： 本发明涉及自动汇总，以便识别多媒体数据的全部内容。 根据本发明的产生汇总信息的方法包括：在输入信号之间产生关于特定音频信号或特定视频信号的索引信息; 将从输入信号中提取或接收的输入信号的文本信息与索引信息同步; 以及通过使用同步的文本信息和索引信息来生成第一汇总信息。
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10.发明申请FEATURE COMPENSATION APPARATUS AND METHOD FOR SPEECH RECOGNTION IN NOISY ENVIRONMENT 有权特征补偿装置和噪声环境中语音识别的方法公开(公告)号：US20160275964A1
公开(公告)日：2016-09-22
申请号：US15074579
申请日：2016-03-18
发明人： Hyun Woo KIM , Ho Young JUNG , Jeon Gue PARK , Yun Keun LEE
IPC分类号： G10L21/0232 , G10L15/14 , G10L19/26 , G10L21/0308 , G10L25/24
摘要： A feature compensation apparatus includes a feature extractor configured to extract corrupt speech features from a corrupt speech signal with additive noise that consists of two or more frames; a noise estimator configured to estimate noise features based on the extracted corrupt speech features and compensated speech features; a probability calculator configured to calculate a correlation between adjacent frames of the corrupt speech signal; and a speech feature compensator configured to generate compensated speech features by eliminating noise features of the extracted corrupt speech features while taking into consideration the correlation between adjacent frames of the corrupt speech signal and the estimated noise features, and to transmit the generated compensated speech features to the noise estimator.
摘要翻译： 特征补偿装置包括特征提取器，其被配置为从具有由两个或更多个帧组成的附加噪声的损坏语音信号中提取损坏的语音特征; 噪声估计器，被配置为基于所提取的损坏的语音特征和补偿的语音特征来估计噪声特征; 概率计算器，被配置为计算所述损坏语音信号的相邻帧之间的相关性; 以及语音特征补偿器，被配置为通过消除所提取的损坏的语音特征的噪声特征来产生补偿的语音特征，同时考虑到损坏的语音信号的相邻帧与估计的噪声特征之间的相关性，并且将生成的补偿语音特征发送到 噪声估计器。
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