The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 30, 2018

Filed:

Jul. 08, 2016
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Hee Youl Choi, Hwaseong-si, KR;

Seokjin Hong, Hwaseong-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/32 (2013.01); G10L 15/16 (2006.01); G10L 15/183 (2013.01); G10L 15/22 (2006.01); G10L 15/08 (2006.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 15/32 (2013.01); G10L 15/08 (2013.01); G10L 15/16 (2013.01); G10L 15/183 (2013.01); G10L 15/22 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/221 (2013.01); G10L 2015/223 (2013.01);
Abstract

A speech recognition apparatus and method. The speech recognition apparatus includes a first recognizer configured to generate a first recognition result of an audio signal, in a first linguistic recognition unit, by using an acoustic model, a second recognizer configured to generate a second recognition result of the audio signal, in a second linguistic recognition unit, by using a language model, and a combiner configured to combine the first recognition result and the second recognition result to generate a final recognition result in the second linguistic recognition unit and to reflect the final recognition result in the language model. The first linguistic recognition unit may be a same linguistic unit type as the second linguistic recognition unit. The first recognizer and the second recognizer are configured in a same neural network and simultaneously/collectively trained in the neural network using audio training data provided to the first recognizer.


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