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:
Jun. 30, 2020

Filed:

May. 30, 2018
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Fuzhang Wu, Shenzhen, CN;

Binghua Qian, Shenzhen, CN;

Wei Li, Shenzhen, CN;

Ke Li, Shenzhen, CN;

Yongjian Wu, Shenzhen, CN;

Feiyue Huang, Shenzhen, CN;

Assignee:

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen, Guangdong Province, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G10L 15/14 (2006.01); G10L 15/02 (2006.01); G10L 15/04 (2013.01); G10L 25/24 (2013.01); G10L 25/90 (2013.01); G10L 15/187 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/02 (2013.01); G10L 15/04 (2013.01); G10L 15/142 (2013.01); G10L 15/144 (2013.01); G10L 25/24 (2013.01); G10L 25/90 (2013.01); G10L 15/187 (2013.01); G10L 2015/025 (2013.01); G10L 2015/0631 (2013.01);
Abstract

The embodiments of the present disclosure disclose a method for constructing a speech decoding network in digital speech recognition. The method comprises acquiring training data obtained by digital speech recording, the training data comprising a plurality of speech segments, and each speech segment comprising a plurality of digital speeches; performing acoustic feature extraction on the training data to obtain a feature sequence corresponding to each speech segment; performing progressive training starting from a mono-phoneme acoustic model to obtain an acoustic model; acquiring a language model, and constructing a speech decoding network by the language model and the acoustic model obtained by training.


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