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Title:
VOICE LIVING-BODY DETECTION METHOD BASED ON DEEP LEARNING, SERVER AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2019/136909
Kind Code:
A1
Abstract:
Disclosed is a voice living-body detection method based on deep learning, wherein same is applied to a server. The method comprises: training a deep neural network model to obtain an optimal deep neural network model; acquiring voice to be detected and framing the voice to be detected to obtain a 1000*20-dimensional matrix; inputting the 1000*20-dimensional matrix into the optimal deep neural network model; calculating the 1000*20-dimensional matrix by using the optimal deep neural network model to obtain a 1*4-dimensional output vector, wherein the 1*4-dimensional output vector represents four voice categories; and selecting a category with the maximum value from among the 1*4-dimensional output vector as the category of the voice to be detected. Further provided are a server and a storage medium. By implementing the above-mention solution, a higher level of security guarantee can be provided for the security of speech control, and the development of voice recognition technology is promoted.

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Inventors:
WANG JIANZONG (CN)
ZHENG SIQI (CN)
YU XIPAN (CN)
XIAO JING (CN)
Application Number:
PCT/CN2018/089203
Publication Date:
July 18, 2019
Filing Date:
May 31, 2018
Export Citation:
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G10L25/51
Foreign References:
CN107545248A2018-01-05
CN105869630A2016-08-17
US20170061966A12017-03-02
Other References:
XU, XIAO: "Research on Live Face Detection Algorithm Based on Deep Learning", CHINA MASTER S THESES FULL-TEXT DATABASE, 15 March 2017 (2017-03-15), pages 1 - 39 and 55, ISSN: 1674-0246
Attorney, Agent or Firm:
SHENZHEN WORLD INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP ) (CN)
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