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:
Aug. 15, 2023

Filed:

Jan. 18, 2023
Applicants:

Fujian Tq Digital Inc., Fuzhou, CN;

Central China Normal University, Wuhan, CN;

Inventors:

Dejian Liu, Fuzhou, CN;

Zhenhua Fang, Fuzhou, CN;

Zheng Zhong, Wuhan, CN;

Jian Xu, Wuhan, CN;

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/26 (2006.01); G10L 13/10 (2013.01); G10L 25/63 (2013.01); G10L 25/18 (2013.01); G10L 13/033 (2013.01); G06F 40/284 (2020.01); G10L 21/0208 (2013.01); G06F 40/40 (2020.01); G10L 13/047 (2013.01);
U.S. Cl.
CPC ...
G10L 13/10 (2013.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01); G10L 13/0335 (2013.01); G10L 13/047 (2013.01); G10L 21/0208 (2013.01); G10L 25/18 (2013.01); G10L 25/63 (2013.01);
Abstract

Disclosed are a method and a terminal for generating simulated voices of virtual teachers. Real voice samples of teachers are collected and converted into text sequences, and a text emotion polarity training set and a text tone training set are constructed according to the text sequences; a lexical item emotion model is constructed based on lexical items in the text sequences and is trained by using the emotion polarity training set, and word vectors, an emotion polarity vector, and a weight parameter are obtained by training; and the similarity between the word vector and the emotion polarity vector is calculated, and emotion features are extracted according to a similarity calculation result, a conditional vocoder is constructed according to the voice styles and emotion features to generate new voices with emotion changes. The method and the terminal contribute to satisfying the application requirements of high-quality virtual teachers.


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