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

Multi-prototype driven graph neural network for speaker diarization

Mao Qingqing
Jia Hongjie
Zhu Bisong
School of Computer Science & Telecommunication Engineering, Jiangsu University, Zhenjiang Jiangsu 212013, China
DOI: 10.19734/j.issn.1001-3695.2024.11.0458

Abstract

Recently, the utilization of graph neural network for session-level modeling has demonstrated its efficacy for speaker diarization. However, most of existing variants solely rely on local structure information, ignoring the importance of global speaker information, which cannot fully compensate for the lack of speaker information in the speaker diarization task. This paper proposed a Multi-prototype Driven Graph Neural Network (MPGNN) for representation learning, which effectively combines local and global speaker information within each session and simultaneously remaps x-vector to a new embedding space that is more suitable for clustering. Specifically, the design of prototype learning with a dynamic and adaptive approach is a critical component, where more accurate global speaker information can be captured. Experimental results show that the proposed MPGNN approach significantly outperforms the baseline systems, achieving diarization error rates (DER) of 3.33%, 3.52%, 5.66%, and 6.52% on the AMI_SDM and CALLHOME datasets respectively.

Foundation Support

江苏省自然科学基金项目(BK20190838)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0458
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 6

Publish History

[2025-03-10] Accepted Paper

Cite This Article

毛青青, 贾洪杰, 朱必松. 面向说话人日志的多原型驱动图神经网络方法 [J]. 计算机应用研究, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0458. (Mao Qingqing, Jia Hongjie, Zhu Bisong. Multi-prototype driven graph neural network for speaker diarization [J]. Application Research of Computers, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0458. )

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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