Invention Grant
- Patent Title: Apparatus and method for recognizing speech based on a deep-neural-network (DNN) sound model
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Application No.: US15187581Application Date: 2016-06-20
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Publication No.: US09959862B2Publication Date: 2018-05-01
- Inventor: Byung Ok Kang , Jeon Gue Park , Hwa Jeon Song , Yun Keun Lee , Eui Sok Chung
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Applicant Address: KR Daejeon
- Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee Address: KR Daejeon
- Priority: KR10-2016-0005755 20160118
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G10L15/07 ; G10L15/02 ; G10L15/06

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.
Public/Granted literature
- US20170206894A1 APPARATUS AND METHOD FOR RECOGNIZING SPEECH Public/Granted day:2017-07-20
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