公开(公告)号：US20230195998A1

公开(公告)日：2023-06-22

申请号：US17952556

申请日：2022-09-26

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Yunze GAO ,  Xiaoping WANG ,  Penghao RAO ,  Fenfen SHENG ,  Mingxin LIANG

IPC: G06F40/129 ,  G06F40/123 ,  G06N5/02

CPC classification number: G06F40/129 ,  G06F40/123 ,  G06N5/022

Abstract: Disclosed are a sample generation method, a model training method, a trajectory recognition method, a device, and a medium. The method is: determining a code result of a training Chinese character according to a preset code library, where the preset code library is generated based on code characters in a five-stroke code corpus; taking the code result as a training label of the training Chinese character; and generating a training sample according to both a writing trajectory and the training label of the training Chinese character. The amount of information carried in the training sample is enriched.

公开(公告)号：US20250078839A1

公开(公告)日：2025-03-06

申请号：US18819018

申请日：2024-08-29

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

Inventor： Xiaoyin FU ,  Qiguang ZANG ,  Fenfen SHENG ,  Haifeng WANG ,  Lei JIA

IPC: G10L15/32 ,  G10L15/02 ,  G10L15/04 ,  G10L15/06 ,  G10L15/183

Abstract: A speech recognition method and a method for training a deep learning model are provided. The speech recognition method includes: obtaining a first speech feature of a speech to-be-recognized, which includes a plurality of speech segment features corresponding to a plurality of speech segments; decoding the first speech feature using a first decoder to obtain a plurality of first decoding results corresponding to a plurality of the words, indicating a first recognition result of words; extracting a second speech feature from the first speech feature based on first a priori information, which includes the plurality of first decoding results, and the second speech feature includes first word-level audio features corresponding to the plurality of words; and decoding the second speech feature using a second decoder to obtain a plurality of second decoding results corresponding to the plurality of words, indicating a second recognition result of the word.