公开(公告)号：US20180174589A1

公开(公告)日：2018-06-21

申请号：US15597668

申请日：2017-05-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Junhwi CHOI ,  YoungSang CHOI

IPC: G10L15/32 ,  G10L15/02 ,  G10L15/183 ,  G10L25/51 ,  G10L15/14 ,  G10L15/16 ,  G10L25/18 ,  G10L15/22 ,  G10L15/01

CPC classification number: G10L15/32 ,  G10L15/02 ,  G10L15/16 ,  G10L15/183 ,  G10L25/30

Abstract: Disclosed is a speech recognition method and apparatus, the method including two recognition processes, a first recognition process being performed using an acoustic model and a language model and a second recognition process being performed without distinguishing between the acoustic model and the language model in response to an accuracy of a result of the first recognition process not meeting a threshold. The apparatus including a processor configured to acquire a first text from a speech sequence using an acoustic model and a language model, determine whether an accuracy of the first text meets a threshold, and acquire a second text from the first text based on a parameter generated in acquiring the first text, in response to the accuracy of the first text being below the threshold.

公开(公告)号：US20160189710A1

公开(公告)日：2016-06-30

申请号：US14751654

申请日：2015-06-26

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Seokjin HONG ,  YoungSang CHOI

IPC: G10L15/22 ,  G10L15/26 ,  G06F17/27 ,  G10L15/02

CPC classification number: G10L15/02 ,  G10L2015/025 ,  G10L2015/027

Abstract: A method and apparatus for speech recognition are disclosed. The speech recognition apparatus includes a processor configured to process a received speech signal, generate a word sequence based on a phoneme sequence generated from the speech signal, generate a syllable sequence corresponding to a word element among words comprised in the word sequence based on the phoneme sequence, and determine a text corresponding to a recognition result of the speech signal based on the word sequence and the syllable sequence.

Abstract translation: 公开了一种用于语音识别的方法和装置。 语音识别装置包括：处理器，被配置为处理接收到的语音信号，基于从该语音信号产生的音素序列生成一个单词序列;基于该音素生成与该单词序列中包含的单词之间的一个单词元素相对应的音节序列 并根据单词序列和音节序列确定与语音信号的识别结果对应的文本。

公开(公告)号：US20180373704A1

公开(公告)日：2018-12-27

申请号：US15975927

申请日：2018-05-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Min-Joong LEE ,  YoungSang CHOI

IPC: G06F17/28 ,  G06N3/08

CPC classification number: G06F17/289 ,  G06F17/2845 ,  G06F17/2854 ,  G06F17/2863 ,  G06F17/2881 ,  G06N3/0454 ,  G06N3/08

Abstract: A machine translation method and a machine translation apparatus using a neural network model are provided. The machine translation apparatus extracts information associated with a keyword from a source sentence, obtains a supplement sentence associated with the source sentence based on the extracted information associated with the keyword, acquires a first vector value from the source sentence and a second vector value from the supplement sentence using neural network model-based encoders, and outputs a target sentence corresponding to a translation of the source sentence based on any one or any combination of the first vector value and the second vector value using a neural network model-based decoder.

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：US20160012820A1

公开(公告)日：2016-01-14

申请号：US14558479

申请日：2014-12-02

Applicant: SAMSUNG ELECTRONICS CO., LTD

Inventor： Minyoung MUN ,  YoungSang CHOI

IPC: G10L15/08 ,  G10L17/22

CPC classification number: G10L15/32 ,  G10L15/1822 ,  G10L2015/223

Abstract: A multilevel speech recognition method and an apparatus performing the method are disclosed. The method includes receiving a first speech command from a user through a speech interface, and extracting a keyword from the first speech command. The method also includes providing a candidate application group of a category providing a service associated with the keyword, and processing a second speech command from the user associated with an application selected from the candidate application group.

Abstract translation: 公开了一种多级语音识别方法和执行该方法的装置。 该方法包括通过语音接口从用户接收第一语音命令，以及从第一语音命令中提取关键字。 该方法还包括提供提供与关键字相关联的服务的类别的候选应用组，以及处理来自与从候选应用组中选择的应用相关联的用户的第二语音命令。