公开(公告)号：US20220108684A1

公开(公告)日：2022-04-07

申请号：US17644749

申请日：2021-12-16

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

Inventor： Xiaoyin FU ,  Mingxin LIANG ,  Zhijie CHEN ,  Qiguang ZANG ,  Zhengxiang JIANG ,  Liao ZHANG ,  Qi ZHANG ,  Lei JIA

IPC: G10L15/02 ,  G10L15/16 ,  G10L19/032

Abstract: The present disclosure provides a method of recognizing speech offline, electronic device, and a storage medium, relating to a field of artificial intelligence such as speech recognition, natural language processing, and deep learning. The method may include: decoding speech data to be recognized into a syllable recognition result; transforming the syllable recognition result into a corresponding text as a speech recognition result of the speech data.

公开(公告)号：US20220328040A1

公开(公告)日：2022-10-13

申请号：US17684681

申请日：2022-03-02

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

Inventor： Liao ZHANG ,  Yinlou ZHAO ,  Zhengxiang JIANG ,  Xiaoyin FU ,  Wei WEI

IPC: G10L15/183 ,  G06N5/04

Abstract: The present disclosure discloses a speech recognition method and apparatus, and relates to the field of speech and deep learning technologies. A specific implementation scheme involves: acquiring candidate recognition results with first N recognition scores outputted by a speech recognition model for to-be-recognized speech, N being a positive integer greater than 1; scoring the N candidate recognition results based on pronunciation similarities between candidate recognition results and pre-collected popular entities, to obtain similarity scores of the candidate recognition results; and integrating the recognition scores and the similarity scores of the candidate recognition results to determine a recognition result corresponding to the to-be-recognized speech from the N candidate recognition results. The present disclosure can improve recognition accuracy.

公开(公告)号：US20240221727A1

公开(公告)日：2024-07-04

申请号：US18266432

申请日：2022-09-01

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

Inventor： Lanhua YOU ,  Lei JIA ,  Qi ZHANG ,  Zhengxiang JIANG

IPC: G10L15/06 ,  G10L15/01 ,  G10L15/02 ,  G10L15/16

CPC classification number: G10L15/063 ,  G10L15/01 ,  G10L15/02 ,  G10L15/16

Abstract: The present disclosure provides a voice recognition model training method and apparatus, an electronic device and a storage medium, relating to the field of artificial intelligence technology, and in particular to the fields such as deep learning and voice recognition. The specific implementation scheme includes constructing a negative sample according to a positive sample to obtain a target negative sample for constraining a voice decoding path; obtaining training data according to the positive sample and the target negative sample; and training a first voice recognition model according to the training data to obtain a second voice recognition model.