公开(公告)号：US11823660B2

公开(公告)日：2023-11-21

申请号：US17353758

申请日：2021-06-21

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Li Chen ,  Saisai Zou

IPC: G10L15/06 ,  G06N3/08 ,  G10L15/02 ,  G10L15/16 ,  G10L15/18 ,  G10L15/22 ,  G10L21/02 ,  G06N3/044

CPC classification number: G10L15/063 ,  G06N3/044 ,  G06N3/08 ,  G10L15/02 ,  G10L15/16 ,  G10L15/1815 ,  G10L15/22 ,  G10L21/02 ,  G10L2015/027

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.