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. 21, 2023

Filed:

Jun. 21, 2021
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Li Chen, Beijing, CN;

Saisai Zou, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G06N 3/08 (2023.01); G10L 15/02 (2006.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01); G10L 21/02 (2013.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G10L 15/02 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 21/02 (2013.01); G10L 2015/027 (2013.01);
Abstract

Embodiments of the present disclosure disclose a method, apparatus and device for training a network, and a storage medium, relate to the field of artificial intelligence technology such as deep learning and speech analysis. A semantic prediction network comprises: an encoder network and at least one decoder network; and a particular solution is: acquiring a first speech feature of a target speech sample; the target speech sample being a synthesized speech sample or a real speech sample, the synthesized speech sample being attached with a sample syllable label and a semantic label comprising a value of the domain, and the real speech sample being attached with a sample syllable label; and jointly training an initial semantic prediction network and a syllable classification network using the first speech feature of the target speech sample, to obtain a trained semantic prediction network.


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