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:
Oct. 15, 2019

Filed:

Nov. 23, 2015
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Lihui Xun, Beijing, CN;

Nengjun Ouyang, Beijing, CN;

Xiangyu Mu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 25/51 (2013.01); G10L 25/30 (2013.01); G10L 25/63 (2013.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G10L 25/24 (2013.01); G10L 25/21 (2013.01); G10L 25/09 (2013.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01); G10L 25/63 (2013.01); G10L 25/09 (2013.01); G10L 25/21 (2013.01); G10L 25/24 (2013.01); G10L 2015/223 (2013.01); G10L 2015/227 (2013.01);
Abstract

An in-vehicle voice command recognition method and apparatus, and a storage medium. The method includes: acquiring a voice command inputted by a user; determining basic information of the user according to a pre-trained deep neural network (DNN) model; identifying contents of the voice command according to the basic information of the user, and determining at least one potential user intention according to the identified contents and a scenario page context at the time when the user inputs the voice command; determining a confidence level of the potential user intention according to the DNN model; determining a real user intention from the potential user intention according to the confidence level; and executing a corresponding action according to the real user intention. The embodiments of the present disclosure can effectively improve the correct recognition rate of voice commands.


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