公开(公告)号：US20240201638A1

公开(公告)日：2024-06-20

申请号：US18330692

申请日：2023-06-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Namyeong KWON ,  Inchul SONG

IPC: G05B13/02 ,  G05B13/04

CPC classification number: G05B13/0265 ,  G05B13/042

Abstract: A method and device with process attribution identification are provided. The method may include generating a process result using a first machine learning model provided input data, where the input data incudes feature values corresponding to a plurality of process features, generating sample data by a first modifying of at least a portion of reference data based on dependency between two or more of the plurality of process features, where the reference data includes a plurality of feature values for a reference process result, identifying an attribution of the plurality of process features based on the generated process result and a sample process result generated using the first machine learning model, or a second machine learning model related to the first machine learning model, provided the generated sample data.

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：US20230065995A1

公开(公告)日：2023-03-02

申请号：US17591949

申请日：2022-02-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Inchul SONG ,  Hyuk KIM ,  Sangwuk PARK ,  Jun Haeng LEE ,  Sungil CHO ,  Kaeweon YOU

IPC: G06F16/904

Abstract: A processor-implemented method with data exploration includes: setting first input data and a first target condition; predicting first output data corresponding to the first input data using a first function that models an objective function; and determining second input data using a second function that provides a result of comparison between the first output data and the first target condition.

公开(公告)号：US20180046618A1

公开(公告)日：2018-02-15

申请号：US15450333

申请日：2017-03-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Hodong LEE ,  Youngki PARK ,  Hwidong NA ,  Minyoung MUN ,  Inchul SONG

IPC: G06F17/28 ,  G06F17/30

CPC classification number: G06F17/2836 ,  G06F16/3344 ,  G06F17/2854 ,  G06F17/2863 ,  G06F17/289 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08

Abstract: A translation method and apparatus may respectively perform or include: using one or more processors, plural different translation processes, in parallel, for a source sentence in a first language, including encoding, to generate respective feature vectors, the source sentence in each of two or more translation processes of the plural translation processes or the source sentence and a variation of the source sentence in respective translation processes of the plural translation processes, and decoding each of the respective feature vectors to generate respective plural candidate sentences in a second language; and selecting a final sentence in the second language from the respective plural candidate sentences in the second language.

公开(公告)号：US20170025119A1

公开(公告)日：2017-01-26

申请号：US15187428

申请日：2016-06-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Inchul SONG ,  Young Sang CHOI

IPC: G10L15/16 ,  G10L15/197 ,  G10L15/04 ,  G10L15/14

CPC classification number: G10L15/16 ,  G06N3/0445 ,  G10L15/02 ,  G10L15/04 ,  G10L15/14 ,  G10L15/197

Abstract: An apparatus for calculating acoustic score, a method of calculating acoustic score, an apparatus for speech recognition, a method of speech recognition, and an electronic device including the same are provided. An apparatus for calculating acoustic score includes a preprocessor configured to sequentially extract audio frames into windows and a score calculator configured to calculate an acoustic score of a window by using a deep neural network (DNN)-based acoustic model.

Abstract translation: 提供了一种用于计算声分数的装置，计算声学乐谱的方法，用于语音识别的装置，语音识别方法以及包括该音乐成分的电子装置。 用于计算声学乐谱的装置包括：配置成将音频帧顺序地提取到窗口中的预处理器;以及配置成通过使用基于深神经网络（DNN）的声学模型来计算窗口的声学得分的乐谱计算器。

公开(公告)号：US20190122654A1

公开(公告)日：2019-04-25

申请号：US16038343

申请日：2018-07-18

Applicant: Samsung Electronics Co., Ltd. ,  Universite de Montreal

Inventor： Inchul SONG ,  Junyoung CHUNG ,  Taesup KIM ,  Sanghyun YOO

IPC: G10L15/16 ,  G10L15/187 ,  G10L15/06 ,  G06N3/08

Abstract: A speech recognition method includes obtaining an acoustic sequence divided into a plurality of frames, and determining pronunciations in the acoustic sequence by predicting a duration of a same pronunciation in the acoustic sequence and skipping a pronunciation prediction for a frame corresponding to the duration.

公开(公告)号：US20180277143A1

公开(公告)日：2018-09-27

申请号：US15819924

申请日：2017-11-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Inchul SONG ,  Sang Hyun Yoo

IPC: G10L25/30 ,  G10L15/06

Abstract: A training method of an acoustic model includes constructing window-level input speech data based on a speech sequence; inputting the window-level input speech data to an acoustic model; calculating a sequence level-error based on an output of the acoustic model; acquiring window-level errors based on the sequence level-error; and updating the acoustic model based on the window-level errors.

公开(公告)号：US20170132217A1

公开(公告)日：2017-05-11

申请号：US15254347

申请日：2016-09-01

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hwidong NA ,  Inchul SONG ,  Hoshik LEE

IPC: G06F17/28

CPC classification number: G06F17/2854 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/049 ,  G06N3/08

Abstract: An apparatus and method for evaluating quality of an automatic translation is disclosed. An apparatus for evaluating quality of automatic translation includes a converter which converts an automatic translation and a reference translation of an original text to a first distributed representation and a second distributed representation, respectively, using a distributed representation model and a quality evaluator which evaluates quality of automatic translation data based on similarity between the first distributed representation and the second distributed representation.