App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 11

Speaker verification fusing front-end feature extraction and temporal attention

Liu Zhiguo1
Liang Chunyan1
Pang Yilin1
Ge Fengpei2
1. School of Computer Science and Technology, Shandong University of Technology, Zibo Shandong 255000, China
2. Library, Beijing University of Posts and Telecommunications, Beijing 100876, China
DOI: 10.19734/j.issn.1001-3695.2026.03.0062

Abstract

NeXt-TDNN has limitations in capturing local frequency-domain features and focusing on critical temporal information. To address these limitations, this paper proposed FSCM-DPBA, a speaker verification model. FSCM-DPBA integrated front-end feature extraction and temporal attention. First, this paper designed a Front-End Separable Convolution Module (FSCM) to capture local time-frequency features and enhance feature representation capability. Second, it proposed a Dual Pooling Branch Attention (DPBA) . DPBA captured the overall distribution of temporal features and salient response peaks to generate adaptive temporal weights. These weights focused on and strengthened highly discriminative temporal information. Experiments on AISHELL-1 and VoxCeleb1 showed that FSCM-DPBA reduced the equal error rate by 26.03% and 12.29%, respectively, compared with the baseline model. The results indicate that this method improves model performance and demonstrates strong generalization ability. Source code: https: //github. com/wode-count/FSCM-DPBA.

Foundation Support

国家自然科学基金资助项目(12204062)
山东省自然科学基金(ZR2022MF330)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.03.0062
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 11

Publish History

[2026-07-02] Accepted Paper

Cite This Article

刘志国, 梁春燕, 庞祎琳, 等. 融合前端特征提取与时间注意力的说话人验证 [J]. 计算机应用研究, 2026, 43 (11). (2026-07-31). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0062. (Liu Zhiguo, Liang Chunyan, Pang Yilin, et al. Speaker verification fusing front-end feature extraction and temporal attention [J]. Application Research of Computers, 2026, 43 (11). (2026-07-31). https://doi.org/10.19734/j.issn.1001-3695.2026.03.0062. )

About the Journal

  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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