System Development & Application
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3417-3421

Emergency broadcast speech compression based on wavelet transform and K-SVD

Yan Huabiaoa
Hu Chaoa
Huang Lyu'eb
a. School of Science, b. School of Electrical Engineering & Automation, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341400, China
DOI: 10.19734/j.issn.1001-3695.2022.04.0143

Abstract

To address the problem of low efficiency of speech transmission in emergency broadcast, this paper proposed a speech compression method based on the wavelet transform and K-singular value decomposition(K-SVD) to improve the information transmission timeliness of emergency broadcast. Firstly, this method discarded the high-frequency components which was obtained from the speech wavelet decomposition, and replaced them with random signals during the wavelet synthesis process. Next, in the compressed sensing process of the low-frequency component, it was sparsely represented by an overcomplete dictionary which was trained by the K-SVD learning algorithm. Finally, this method reconstructed the signal by an improved algorithm of the generalized orthogonal matching pursuit based on subspace backtracking. Experimental results show that the perceptual evaluation of speech quality(PESQ) of the reconstructed emergency broadcast speech reaches 3.717 at a compression efficiency of 50%, the PESQ is 3% to 47% better than the comparison algorithms. It indicates that the method can improve the speech reconstruction quality of emergency broadcast and ensure the timeliness of emergency broadcast transmission while ensuring the compression efficiency.

Foundation Support

国家自然科学基金资助项目(11765008)
江西省青年科学基金资助项目(20161BA216128)
江西理工大学研究生创新计划资助项目(XY2021-S153)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0143
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: System Development & Application
Pages: 3417-3421
Serial Number: 1001-3695(2022)11-034-3417-05

Publish History

[2022-06-06] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

鄢化彪, 胡超, 黄绿娥. 基于小波变换和K-SVD的应急广播语音压缩方法 [J]. 计算机应用研究, 2022, 39 (11): 3417-3421. (Yan Huabiao, Hu Chao, Huang Lyu'e. Emergency broadcast speech compression based on wavelet transform and K-SVD [J]. Application Research of Computers, 2022, 39 (11): 3417-3421. )

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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