Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3569-3573

Environmental sound classification based on multi-resolution features and time-frequency attention

Liu Huia
Li Xiaoxiaa,b
He Hongsena,b
a. School of Information Engineering, b. Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Southwest University of Science & Technology, Mianyang Sichuan 621010, China
DOI: 10.19734/j.issn.1001-3695.2021.05.0184

Abstract

For ESC, this paper proposed a convolutional neural network method based on multi-resolution features and time-frequency attention module. Firstly, compared with the single-resolution spectrogram, multi-channel and multi-resolution features could enrich feature information, realize information complementarity among different feature resolutions, and enhance the expression ability of features. Secondly, for sound signals, this paper proposed a time-frequency attention module. The module firstly used different sizes of one-dimensional convolution to focus on the effective information in the time domain and frequency domain, and then used two-dimensional convolution to fuse the two-domain information to suppress the background noise in the environment sound and eliminate redundant information interference caused by multi-channel and multi-resolution features. The experimental results show that the classification accuracy rates on the two benchmark data sets of ESC-10 and ESC-50 have reached 98.50% and 88.46%, which are 2.70% and 0.76% higher than the latest methods.

Foundation Support

国家自然科学基金资助项目(62071399)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.05.0184
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Algorithm Research & Explore
Pages: 3569-3573
Serial Number: 1001-3695(2021)12-008-3569-05

Publish History

[2021-12-05] Printed Article

Cite This Article

刘慧, 李小霞, 何宏森. 基于多分辨率特征和时频注意力的环境声音分类 [J]. 计算机应用研究, 2021, 38 (12): 3569-3573. (Liu Hui, Li Xiaoxia, He Hongsen. Environmental sound classification based on multi-resolution features and time-frequency attention [J]. Application Research of Computers, 2021, 38 (12): 3569-3573. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)