Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
693-698,703

D-S sound classification based on double two stream convolution and multi-feature fusion

Wu Jiasai
Gao Zhenbin
School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2021.08.0342

Abstract

In order to solve the problem of insufficient accuracy of sound classification, this paper proposed a Dempster-Shafer(D-S) fusion model based on multi-feature double two stream network. Firstly, this paper proposed four combined features to represent sound more comprehensively and effectively. Secondly, this paper proposed a better training model based on double two stream network architecture. By using multi-resolution and multi-channel features, the first and second stream network feed into second-order dense convolution network(2-DenseNet), in which 2-DenseNet divided into two dense blocks. By using the feature splicing of single resolution and single channel, the third and fourth stream networks fed into the four-layer CNN network. Then it fused output results of softmax based on D-S evidence theory to obtain the D-S-Net model. The experimental results show that based on the UrbanSound8k data set, the accuracy of the model is 96.34% after data enhancement, which is 25.34% higher than the baseline, which verifies the robustness in noise environment. It has a recognition rate of 90.34% at 20 dB signal to noise ratio(SNR), the performance is greatly improved at low SNR.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.08.0342
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 693-698,703
Serial Number: 1001-3695(2022)03-008-0693-06

Publish History

[2021-11-15] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

吴佳赛, 高振斌. 基于双二流卷积和多特征融合的D-S声音分类 [J]. 计算机应用研究, 2022, 39 (3): 693-698,703. (Wu Jiasai, Gao Zhenbin. D-S sound classification based on double two stream convolution and multi-feature fusion [J]. Application Research of Computers, 2022, 39 (3): 693-698,703. )

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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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