Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 7
2018-2024

End-to-end method based on Conformer for speech recognition

Hu Conggang1,2
Shen Yixiang1,2
Sun Yongqi1,2
Zhao Sicong3
1. Key Laboratory of Big Data & Artificial Intelligence in Transportation, Beijing 100044, China
2. School of Computer & Information Technology, Beijing Jiaotong University, Beijing 100044, China
3. Beijing Aerocim Technology Co. , Ltd. of CASIC, Beijing 102308, China
DOI: 10.19734/j.issn.1001-3695.2023.11.0563

Abstract

The acoustic input network based on the Conformer encoder has the problem of insufficient extraction of FBank speech information and missing channel feature information. This paper proposed an end-to-end method based on RepVGG-SE-Conformer for speech recognition to solve these problems. Firstly, the proposed model used the multi-branch structure of RepVGG to enhance the speech information extraction capability, and using the structural re-parameterization fused the multi-branch into a single branch to reduce the computational complexity and speed up the model inference. Then, based on the squeeze-and-excitation network, the channel attention mechanism made up for the missing channel feature information to improve speech recognition accuracy. Finally, the experimental results on the public dataset Aishell-1 show that the proposed method's character error rate is reduced by 10.67% compared with Conformer, and the advancement of the method is verified. In addition, the proposed RepVGG-SE acoustic input network has good generalization ability in the end-to-end scene, which can effectively improve the overall performance of speech recognition models based on Transformer variants.

Foundation Support

科技创新2030——“新一代人工智能”重大资助项目(2021ZD0113002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0563
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 7
Section: Algorithm Research & Explore
Pages: 2018-2024
Serial Number: 1001-3695(2024)07-014-2018-07

Publish History

[2024-01-30] Accepted Paper
[2024-07-05] Printed Article

Cite This Article

胡从刚, 申艺翔, 孙永奇, 等. 基于Conformer的端到端语音识别方法 [J]. 计算机应用研究, 2024, 41 (7): 2018-2024. (Hu Conggang, Shen Yixiang, Sun Yongqi, et al. End-to-end method based on Conformer for speech recognition [J]. Application Research of Computers, 2024, 41 (7): 2018-2024. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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