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Robust audio fingerprinting using peak-pair-based hash of non-repeating foreground audio in a real environment

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Abstract

In this paper, we propose a high-performance audio fingerprinting system used in real-world query-by-example applications for acoustic audio-based content identification, especially for use in heterogeneous portable consumer devices or on-line audio distributed system. In the proposed method, audio fingerprints are generated using a modulated complex lapped transform-based non-repeating foreground audio extraction and an adaptive thresholding method for prominent peak detection. Effective matching is performed using a robust peak-pair-based hash function of non-repeating foreground audio to protect against noise, echo, artifacts from pitch-shifting, time-stretching, resampling, equalization, or compression. Experimental results confirm that the proposed method is quite robust in various distorted conditions and achieves preliminarily promising accuracy results.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2007601). And this research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2015-H8501-15-1016) supervised by the IITP (Institute for Information & communications Technology Promotion), and Kwangwoon Research Grant 2014.

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Authors and Affiliations

  1. Department of Electronics Convergence Engineering, Kwangwoon University, 20 Gwangun-ro, Nowon-gu, Seoul, Korea

    Hyoung-Gook Kim

  2. Department of Radio Sciences and Engineering, Kwangwoon University, 20 Gwangun-ro, Nowon-gu, Seoul, Korea

    Hye-Seung Cho

  3. Department of Electronics and Computer Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, Korea

    Jin Young Kim

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  1. Hyoung-Gook Kim
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  2. Hye-Seung Cho
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  3. Jin Young Kim
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Correspondence to Hyoung-Gook Kim.

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Kim, HG., Cho, HS. & Kim, J.Y. Robust audio fingerprinting using peak-pair-based hash of non-repeating foreground audio in a real environment. Cluster Comput 19, 315–323 (2016). https://doi.org/10.1007/s10586-015-0523-z

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