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:
Nov. 22, 2022

Filed:

Jun. 15, 2018
Applicant:

Iflytek Co., Ltd., Anhui, CN;

Inventors:

Jia Pan, Anhui, CN;

Cong Liu, Anhui, CN;

Haikun Wang, Anhui, CN;

Zhiguo Wang, Anhui, CN;

Guoping Hu, Anhui, CN;

Assignee:

IFLYTEK CO., LTD., Hefei, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/06 (2013.01); G10L 15/25 (2013.01); G10L 25/03 (2013.01); G10L 25/30 (2013.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06N 3/049 (2013.01); G10L 15/063 (2013.01); G10L 15/25 (2013.01); G10L 25/03 (2013.01); G10L 25/30 (2013.01); G10L 2015/0635 (2013.01); G10L 2015/227 (2013.01);
Abstract

A method, an apparatus and a device for converting a whispered speech, and a readable storage medium are provided. The method is implemented based on the whispered speech converting model. The whispered speech converting model is trained in advance by using recognition results and whispered speech training acoustic features of whispered speech training data as samples and using normal speech acoustic features of normal speech data parallel to the whispered speech training data as sample labels. A whispered speech acoustic feature and a preliminary recognition result of whispered speech data are acquired, then the whispered speech acoustic feature and the preliminary recognition result are inputted into a preset whispered speech converting model to acquire a normal speech acoustic feature outputted by the model. In this way, the whispered speech can be converted to a normal speech.


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