Software Technology Research
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1771-1776

Acoustic scene classification method based on paired feature fusion

Shen Xinhao
Chen Jiaye
Song Xiaoning
School of Artificial Intelligence & Computer, Jiangnan University, Wuxi Jiangsu 214122, China

Abstract

In recent years, single device sound scene classification has achieved good results, however, progress in multi-device sound scene classification has been slow. To solve the problem of large differences in the number of multi-device samples, this paper proposed a pairwise feature fusion algorithm. By calculating the differences in the spectrogram for each pair of paired samples and averaging these differences after accumulation, obtaining the average spectral characteristics of each device for the conversion of device samples. The algorithm effectively improved the generalization ability of the model while increasing the number of device samples. Meanwhile, in order to obtain global information, it proposed a lightweight attention module, which could make the model focus on the training of the whole sound sequence information on the basis of reduced computation by performing self-attention operations on the input features after compression in the frequency domain. The experimental results show that the proposed algorithm has better advantages in terms of model size and classification accuracy compared with other methods.

Foundation Support

国家社会科学基金重大资助项目(21&ZD166)
国家自然科学基金资助项目(61876072)
江苏省自然基金资助项目(BK20221535)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0500
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Software Technology Research
Pages: 1771-1776
Serial Number: 1001-3695(2023)06-027-1771-06

Publish History

[2023-01-09] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

沈昕昊, 陈嘉烨, 宋晓宁. 基于配对特征融合的声学场景分类方法 [J]. 计算机应用研究, 2023, 40 (6): 1771-1776. (Shen Xinhao, Chen Jiaye, Song Xiaoning. Acoustic scene classification method based on paired feature fusion [J]. Application Research of Computers, 2023, 40 (6): 1771-1776. )

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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