Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3264-3267

Monaural speech enhancement algorithm based on region-aware multi-scale convolution

Wang Yixiang
Lyu Yilan
Tai Wenxin
Sun Jianqiang
Lan Tian
School of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 610054, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0131

Abstract

The size of the receptive field of the convolutional neural network is related to the size of the convolution kernel. And the traditional convolution uses a fixed-size convolution kernel, which limits the feature perception ability of the network model. In addition, due to the parameter sharing mechanism of the convolutional neural network, it used the same feature extraction method for all pixels in the spatial region. However, there are differences in the distribution of noise signals and clean speech signals in the noisy spectrogram, especially in the complex noise environment, the general convolution method is difficult to achieve high-quality speech signal feature extraction and choosing. In order to solve the above problems, this paper proposed a multi-scale region adaptive convolution module, which used multi-scale information to improve the feature perception ability of the model and automatically allocated the area adaptive convolution achieve and improved the denoising ability of the model. The experiments on the TIMIT public datasets show that the proposed algorithm has achieved satisfactory results in the metrics of speech quality and intelligibility.

Foundation Support

国家自然科学基金资助项目(U19B2028,61772117)
科技委创新特区资助项目(19-163-21-TS-001-042-01)
提升政府治理能力大数据应用技术国家工程实验室重点项目(10-2018039)
中央高校基本科研业务费资助项目(ZYGX2019J077)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0131
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3264-3267
Serial Number: 1001-3695(2021)11-010-3264-04

Publish History

[2021-11-05] Printed Article

Cite This Article

王钇翔, 吕忆蓝, 台文鑫, 等. 基于区域自适应多尺度卷积的单声道语音增强算法 [J]. 计算机应用研究, 2021, 38 (11): 3264-3267. (Wang Yixiang, Lyu Yilan, Tai Wenxin, et al. Monaural speech enhancement algorithm based on region-aware multi-scale convolution [J]. Application Research of Computers, 2021, 38 (11): 3264-3267. )

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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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