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Algorithm Research & Explore
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2076-2080,2086

Parallel dual audio fingerprinting based on spatially adaptive hashing algorithms

Huang Yiying1
Deng Kaifa2
Wu Chunxue1
1. School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
2. School of Art & Design, Shanghai University of Engineering Science, Shanghai 201620, China

Abstract

Aiming at the retrieval and tracking performance of illegal audio copies, this paper proposed a new hash-based parallel dual audio fingerprinting method. Firstly, to improve the integrity of the detected fragments, it applied the parallel feature and Walsh-Hadamard transformation to generate two sets of real-time parallel fingerprints. Then, it computed the similarity between the two sets of fingerprints by the new hashing method. Finally, during retrieval, it matched the parallel two sets of fingerprints and merged to obtain the final result. The experimental results show that the proposed method has good robustness for audio adopted different methods, and can stable characterize the overall characteristics of audio. Compared with the other methods, the proposed method has improved in terms of matching period of integrity.

Foundation Support

国家自然科学基金资助项目(2018YFC0810204)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0672
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 7
Section: Algorithm Research & Explore
Pages: 2076-2080,2086
Serial Number: 1001-3695(2022)07-024-2076-05

Publish History

[2022-02-24] Accepted Paper
[2022-07-05] Printed Article

Cite This Article

黄一英, 邓开发, 邬春学. 基于空间自适应哈希算法的并行双音频指纹技术 [J]. 计算机应用研究, 2022, 39 (7): 2076-2080,2086. (Huang Yiying, Deng Kaifa, Wu Chunxue. Parallel dual audio fingerprinting based on spatially adaptive hashing algorithms [J]. Application Research of Computers, 2022, 39 (7): 2076-2080,2086. )

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.


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