公开(公告)号：US12033616B2

公开(公告)日：2024-07-09

申请号：US17571805

申请日：2022-01-10

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

Inventor： Junyao Shao ,  Xiaoyin Fu ,  Qiguang Zang ,  Zhijie Chen ,  Mingxin Liang ,  Huanxin Zheng ,  Sheng Qian

IPC: G10L15/06 ,  G10L15/16 ,  G10L15/183 ,  G10L15/28

CPC classification number: G10L15/063 ,  G10L15/16 ,  G10L15/183 ,  G10L15/28

Abstract: A method for training a speech recognition model, a device and a storage medium, which relate to the field of computer technologies, and particularly to the fields of speech recognition technologies, deep learning technologies, or the like, are disclosed. The method for training a speech recognition model includes: obtaining a fusion probability of each of at least one candidate text corresponding to a speech based on an acoustic decoding model and a language model; selecting a preset number of one or more candidate texts based on the fusion probability of each of the at least one candidate text, and determining a predicted text based on the preset number of one or more candidate texts; and obtaining a loss function based on the predicted text and a standard text corresponding to the speech, and training the speech recognition model based on the loss function.