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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 6

Audio forgery detection method based on feature Fusion

Gai Xinyi1
Tu Guoqing1
Liu Shubo2
Cai Zhaohui2
1. Key Laboratory of Aerospace Information Security & Trusted Computing, Ministry of Education, School of Cyber Science & Engineering, Wuhan University, Wuhan 430072, China
2. School of Computer Science, Wuhan University, Wuhan 430072, China
DOI: 10.19734/j.issn.1001-3695.2024.11.0460

Abstract

Advancements in artificial intelligence have made distinguishing synthesized speech from genuine speech increasingly challenging, complicating audio deepfake detection. Existing methods often exhibit low accuracy, poor generalization, and weak robustness. This study proposed MFF-STViT, a method integrating three audio features with vocoder artifact features through a novel feature fusion module to enhance representation. The fused features were processed using an improved Transformer model, STViT, to reduce redundancy and improve detection performance. On the ASVspoof2019 LA test set, the method reduced the Equal Error Rate (EER) by 71.38% on average. On the ASVspoof2021 LA dataset, it achieved average reductions of 44.41% in EER and 18.11% in the minimum tandem detection cost function (min-tDCF) . For the ASVspoof2021 DF dataset, the average EER decreased by 57.81%, with reductions exceeding 80% in specific partitions. These findings demonstrate the effectiveness of MFF-STViT in improving accuracy, generalization, and robustness.

Foundation Support

国家重点研发计划项目(2020YFB1805400)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0460
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 6

Publish History

[2025-03-10] Accepted Paper

Cite This Article

盖馨怡, 涂国庆, 刘树波, 等. 基于特征融合的音频伪造检测方法 [J]. 计算机应用研究, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0460. (Gai Xinyi, Tu Guoqing, Liu Shubo, et al. Audio forgery detection method based on feature Fusion [J]. Application Research of Computers, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0460. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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