公开(公告)号：US20190057081A1

公开(公告)日：2019-02-21

申请号：US15837626

申请日：2017-12-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Junhwi CHOI ,  Young-Seok KIM ,  Sang Hyun YOO ,  Jehun JEON

IPC: G06F17/27 ,  G10L25/30

Abstract: A natural language generation method and apparatus are provided. The natural language generation apparatus converts an input sentence to a first vector using a first neural network model-based encoder, determines whether a control word is to be provided based on a criterion, and converts the first vector to an output sentence using a neural network model-based decoder, based on whether the control word is to be provided.

公开(公告)号：US20190051291A1

公开(公告)日：2019-02-14

申请号：US15834416

申请日：2017-12-07

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sang Hyun YOO

IPC: G10L15/16 ,  G06N3/04 ,  G06N3/08 ,  G10L15/22 ,  G10L15/06 ,  G10L15/20

Abstract: A neural network method and apparatus, the method including providing a voice signal to a main neural network and a sub-neural network, obtaining a scaling factor by implementing the sub-neural network configured to generate the scaling factor by interpreting the provided voice signal, determining a size of a future context, based on the scaling factor, to be considered by the main neural network configured to perform speech recognition, obtaining a result of a recognizing of the voice signal by implementing the main neural network with the determined size of the future context.

公开(公告)号：US20180011843A1

公开(公告)日：2018-01-11

申请号：US15404941

申请日：2017-01-12

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hodong LEE ,  Youngki PARK ,  Sang Hyun YOO

IPC: G06F17/28 ,  G10L15/02 ,  G10L25/30

CPC classification number: G06F17/2854 ,  G06F17/2785 ,  G06F17/2818 ,  G06F17/2881 ,  G06F17/289 ,  G10L13/00 ,  G10L15/02 ,  G10L15/26 ,  G10L25/30

Abstract: Provided is an automated interpretation method, apparatus, and system. The automated interpretation method includes encoding a voice signal in a first language to generate a first feature vector, decoding the first feature vector to generate a first language sentence in the first language, encoding the first language sentence to generate a second feature vector with respect to a second language, decoding the second feature vector to generate a second language sentence in the second language, controlling a generating of a candidate sentence list based on any one or any combination of the first feature vector, the first language sentence, the second feature vector, and the second language sentence, and selecting, from the candidate sentence list, a final second language sentence as a translation of the voice signal.

公开(公告)号：US20160210551A1

公开(公告)日：2016-07-21

申请号：US14992129

申请日：2016-01-11

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hodong LEE ,  Hoshik LEE ,  Heeyoul CHOI ,  Yunhong MIN ,  Sang Hyun YOO ,  Yeha LEE ,  Jihyun LEE ,  YoungSang CHOI

IPC: G06N3/08 ,  G10L15/16 ,  G06F17/27 ,  G06N3/04

CPC classification number: G06N3/08 ,  G06F17/27 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/084 ,  G10L15/005 ,  G10L15/16 ,  G10L15/19

Abstract: A method and apparatus for training a language model, include generating a first training feature vector sequence and a second training feature vector sequence from training data. The method is configured to perform forward estimation of a neural network based on the first training feature vector sequence, and perform backward estimation of the neural network based on the second training feature vector sequence. The method is further configured to train a language model based on a result of the forward estimation and a result of the backward estimation.

Abstract translation: 一种用于训练语言模型的方法和装置，包括从训练数据生成第一训练特征向量序列和第二训练特征向量序列。 该方法被配置为基于第一训练特征向量序列执行神经网络的前向估计，并且基于第二训练特征向量序列执行神经网络的向后估计。 该方法还被配置为基于正向估计的结果和后向估计的结果来训练语言模型。

公开(公告)号：US20160027437A1

公开(公告)日：2016-01-28

申请号：US14614582

申请日：2015-02-05

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seok Jin HONG ,  Young Sang CHOI ,  Hee Youl CHOI ,  Sang Hyun YOO

IPC: G10L15/08

CPC classification number: G10L15/187

Abstract: A method and apparatus for speech recognition and for generation of speech recognition engine, and a speech recognition engine are provided. The method of speech recognition involves receiving a speech input, transmitting the speech input to a speech recognition engine, and receiving a speech recognition result from the speech recognition engine, in which the speech recognition engine obtains a phoneme sequence from the speech input and provides the speech recognition result based on a phonetic distance of the phoneme sequence.

Abstract translation: 提供了用于语音识别和用于语音识别引擎的生成的方法和装置以及语音识别引擎。 语音识别的方法包括接收语音输入，将语音输入发送到语音识别引擎，以及从语音识别引擎接收语音识别结果，其中语音识别引擎从语音输入中获取音素序列，并提供 基于音素序列语音距离的语音识别结果。

公开(公告)号：US20150317388A1

公开(公告)日：2015-11-05

申请号：US14699300

申请日：2015-04-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yo Han ROH ,  Joo Hyuk JEON ,  Seok Jin HONG ,  Kyoung Gu WOO ,  Sang Hyun YOO ,  Ji Hyun LEE ,  Ho Dong LEE

IPC: G06F17/30

CPC classification number: G06F16/338 ,  G06F16/334 ,  G06F16/951

Abstract: An information search apparatus includes an event receiver configured to receive an event from an application interface, wherein the application interface is presented on a display of the information search apparatus; a query extractor configured to, in response to receiving the event, extract a query from content displayed within the application interface; an information searcher configured to search for information from an information source using the query; and an information layer display configured to display an information layer within the application interface such that the information layer overlies existing objects on the application interface, wherein the information layer includes an information item which indicates information found by the search for information.

Abstract translation: 信息搜索装置包括：事件接收器，被配置为从应用接口接收事件，其中所述应用接口被呈现在所述信息搜索装置的显示器上; 被配置为响应于接收到所述事件而从显示在所述应用程序界面内的内容提​​取查询的查询提取器; 信息搜索器，被配置为使用所述查询从信息源搜索信息; 以及信息层显示器，被配置为在所述应用接口内显示信息层，使得所述信息层覆盖所述应用接口上的现有对象，其中所述信息层包括指示通过搜索信息找到的信息的信息项。

公开(公告)号：US20210272551A1

公开(公告)日：2021-09-02

申请号：US17322965

申请日：2021-05-18

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sang Hyun YOO ,  Hee Youl CHOI

IPC: G10L15/02 ,  G10L15/00 ,  G10L15/197 ,  G10L15/187 ,  G06F40/44 ,  G10L15/22

Abstract: A speech recognition apparatus includes a probability calculator configured to calculate phoneme probabilities of an audio signal using an acoustic model; a candidate set extractor configured to extract a candidate set from a recognition target list; and a result returner configured to return a recognition result of the audio signal based on the calculated phoneme probabilities and the extracted candidate set.

公开(公告)号：US20190164547A1

公开(公告)日：2019-05-30

申请号：US15992412

申请日：2018-05-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sang Hyun YOO ,  Young-Seok KIM ,  Jeong-hoon PARK ,  Jehun JEON ,  Junhwi CHOI

IPC: G10L15/22 ,  G10L15/18

Abstract: An electronic device and an method of the electronic device are provided, where the electronic device maintains a context that does not reflect a request for a secret conversation, in response to the request for the secret conversation being received from a first user, and generates a response signal to a voice signal of a second user based on the maintained context, in response to an end of the secret conversation with the first user.

公开(公告)号：US20180336887A1

公开(公告)日：2018-11-22

申请号：US15855456

申请日：2017-12-27

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Inchul SONG ,  Sang Hyun YOO

IPC: G10L15/16 ,  G06N3/02 ,  G10L15/22 ,  G10L15/02

CPC classification number: G10L15/16 ,  G06N3/02 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/08 ,  G06N7/005 ,  G10L15/02 ,  G10L15/075 ,  G10L15/14 ,  G10L15/22

Abstract: A user adaptive speech recognition method and apparatus are provided. A speech recognition method includes extracting an identity vector representing an individual characteristic of a user from speech data, implementing a sub-neural network by inputting a sub-input vector including at least the identity vector to the sub-neural network, determining a scaling factor based on a result of the implementing of the sub-neural network, implementing a main neural network, configured to perform a recognition operation, by applying the determined scaling factor to the main neural network and inputting the speech data to the main neural network to which the determined scaling factor is applied, and indicating a recognition result of the implementation of the main neural network.

公开(公告)号：US20170084268A1

公开(公告)日：2017-03-23

申请号：US15263977

申请日：2016-09-13

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sang Hyun YOO ,  Jung Hoe KIM ,  Hyoung Min PARK ,  Hee Youl CHOI ,  Seok Jin HONG

IPC: G10L15/14 ,  G10L15/18 ,  G10L15/06

CPC classification number: G10L15/14 ,  G10L15/063 ,  G10L15/07 ,  G10L15/08 ,  G10L15/18 ,  G10L15/183 ,  G10L2015/0635 ,  G10L2015/226 ,  G10L2015/227 ,  G10L2015/228

Abstract: Provided are a method and an apparatus for speech recognition, and a method and an apparatus for training transformation parameter. A speech recognition apparatus includes an acoustic score calculator configured to use an acoustic model to calculate an acoustic score of a speech input, an acoustic score transformer configured to transform the calculated acoustic score into an acoustic score corresponding to standard pronunciation by using a transformation parameter, and a decoder configured to decode the transformed acoustic score to output a recognition result of the speech input.