公开(公告)号：US20180157640A1

公开(公告)日：2018-06-07

申请号：US15439416

申请日：2017-02-22

Applicant: Electronics and Telecommunications Research Institute

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.

公开(公告)号：US20170206894A1

公开(公告)日：2017-07-20

申请号：US15187581

申请日：2016-06-20

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Byung Ok KANG ,  Jeon Gue PARK ,  Hwa Jeon SONG ,  Yun Keun LEE ,  Eui Sok CHUNG

IPC: G10L15/16 ,  G10L15/07

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.