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公开(公告)号：US10929612B2
公开(公告)日：2021-02-23
申请号：US16217804
申请日：2018-12-12
Inventor： Ho Young Jung , Hyun Woo Kim , Hwa Jeon Song , Eui Sok Chung , Jeon Gue Park
Abstract: 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：US09799350B2
公开(公告)日：2017-10-24
申请号：US15186286
申请日：2016-06-17
Inventor： Jeom Ja Kang , Hwa Jeon Song , Jeon Gue Park , Hoon Chung
IPC: G10L15/00 , G10L25/87 , G10L15/197 , G10L15/02 , G10L15/18
CPC classification number: G10L25/87 , G10L15/02 , G10L15/1815 , G10L15/197 , G10L15/22 , G10L25/48
Abstract: An apparatus and method for verifying an utterance based on multi-event detection information in a natural language speech recognition system. The apparatus includes a noise processor configured to process noise of an input speech signal, a feature extractor configured to extract features of speech data obtained through the noise processing, an event detector configured to detect events of the plurality of speech features occurring in the speech data using the noise-processed data and data of the extracted features, a decoder configured to perform speech recognition using a plurality of preset speech recognition models for the extracted feature data, and an utterance verifier configured to calculate confidence measurement values in units of words and sentences using information on the plurality of events detected by the event detector and a preset utterance verification model and perform utterance verification according to the calculated confidence measurement values.
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公开(公告)号：US12217185B2
公开(公告)日：2025-02-04
申请号：US17332464
申请日：2021-05-27
Inventor： Hyun Woo Kim , Jeon Gue Park , Hwa Jeon Song , Yoo Rhee Oh , Byung Hyun Yoo , Eui Sok Chung , Ran Han
Abstract: A knowledge increasing method includes calculating uncertainty of knowledge obtained from a neural network using an explicit memory, determining the insufficiency of the knowledge on the basis of the calculated uncertainty, obtaining additional data (learning data) for increasing insufficient knowledge, and training the neural network by using the additional data to autonomously increase knowledge.
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Patent Agency Ranking
公开(公告)号：US11423238B2
公开(公告)日：2022-08-23
申请号：US16671773
申请日：2019-11-01
Inventor： Eui Sok Chung , Hyun Woo Kim , Hwa Jeon Song , Ho Young Jung , Byung Ok Kang , Jeon Gue Park , Yoo Rhee Oh , Yun Keun Lee
IPC: G06F40/56 , G06F40/30 , G06F40/289
Abstract: 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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5.发明授权公开(公告)号：US09959862B2
公开(公告)日：2018-05-01
申请号：US15187581
申请日：2016-06-20
Inventor： Byung Ok Kang , Jeon Gue Park , Hwa Jeon Song , Yun Keun Lee , Eui Sok Chung
CPC classification number: G10L15/16 , G10L15/063 , G10L15/07 , G10L2015/022 , G10L2015/0636
Abstract: A speech recognition apparatus based on a deep-neural-network (DNN) sound model includes a memory and a processor. As the processor executes a program stored in the memory, the processor generates sound-model state sets corresponding to a plurality of pieces of set training speech data included in multi-set training speech data, generates a multi-set state cluster from the sound-model state sets, and sets the multi-set training speech data as an input node and the multi-set state cluster as output nodes so as to learn a DNN structured parameter.
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公开(公告)号：US10402494B2
公开(公告)日：2019-09-03
申请号：US15439416
申请日：2017-02-22
Inventor： Eui Sok Chung , Byung Ok Kang , Ki Young Park , Jeon Gue Park , Hwa Jeon Song , Sung Joo Lee , Yun Keun Lee , Hyung Bae Jeon
Abstract: Provided is a method of automatically expanding input text. The method includes receiving input text composed of a plurality of documents, extracting a sentence pair that is present in different documents among the plurality of documents, setting the extracted sentence pair as an input of an encoder of a sequence-to-sequence model, setting an output of the encoder as an output of a decoder of the sequence-to-sequence model and generating a sentence corresponding to the input, and generating expanded text based on the generated sentence.
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公开(公告)号：US20180157640A1
公开(公告)日：2018-06-07
申请号：US15439416
申请日：2017-02-22
Inventor： Eui Sok CHUNG , Byung Ok Kang , Ki Young Park , Jeon Gue Park , Hwa Jeon Song , Sung Joo Lee , Yun Keun Lee , Hyung Bae Jeon
IPC: G06F17/27
CPC classification number: G06F17/2775 , G06F17/2881
Abstract: Provided is a method of automatically expanding input text. The method includes receiving input text composed of a plurality of documents, extracting a sentence pair that is present in different documents among the plurality of documents, setting the extracted sentence pair as an input of an encoder of a sequence-to-sequence model, setting an output of the encoder as an output of a decoder of the sequence-to-sequence model and generating a sentence corresponding to the input, and generating expanded text based on the generated sentence.
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公开(公告)号：US09100492B2
公开(公告)日：2015-08-04
申请号：US14018068
申请日：2013-09-04
Inventor： Hwa Jeon Song , Ho Young Jung , Yun Keun Lee
CPC classification number: H04M1/72519 , G10L15/25 , H04M2250/52 , H04M2250/74
Abstract: Provided is a mobile communication terminal including: a camera module which captures an image of a set area; a microphone module which, when a sound including a voice of a user is input, extracts a sound level corresponding to the sound and a sound generating position; and a control module which estimates a position of a lip of the user from the image, extracts a voice level from the sound level corresponding to the position of the lip of the user and a voice generating position from the sound generating position, and recognizes the voice of the user based on at least one of the voice level and the voice generating position.
Abstract translation: 提供了一种移动通信终端，包括：相机模块，其捕获设置区域的图像; 麦克风模块，当输入包括用户的声音的声音时，提取与声音和声音产生位置相对应的声级; 以及控制模块，其从图像估计用户的嘴唇的位置，从与声音产生位置的用户的嘴唇的位置和语音产生位置相对应的声级提取语音电平，并且识别出 基于语音电平和语音产生位置中的至少一个的用户的语音。
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