Skip to main content
SpringerLink
Log in
Book cover

Pacific-Rim Conference on Multimedia

PCM 2008: Advances in Multimedia Information Processing - PCM 2008 pp 887–890Cite as

A Robust Feature Extraction Algorithm for Audio Fingerprinting

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5353))

Abstract

In this paper, we present a new feature extraction algorithm which is referred to as weighted ASF (WASF) in a fingerprint system. The feature in our algorithm is extracted based on a MPEG-7 descriptor-Audio Spectrum Flatness (ASF) and Human Auditory System (HAS). It also applies several effective filters and another MPEG-7 descriptor: Audio Signature (AS). This algorithm is tested under several audio distortions: sampling rate change, noise addition, and speed-change and so on. For these distortions, the WASF algorithm can get discrimination more than 90%. The MFCC feature and another MPEG-7 descriptor-Audio spectrum Centroid (ASC) are also considered.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Haitsma, J., Kalker, T.: A highly robust audio fingerprinting system. In: Proc. Int. Conf. Music Information Retrieval (2002)

    Google Scholar 

  2. Venkatachalam, V., Cazzanti, L., Dhillon, N., Wells, M.: Automatic Identification of Sound Recordings. Signal Processing Magazine (2004)

    Google Scholar 

  3. Sert, M., Baykal, B., Yazici, A.: A Robust and Time-Efficient Fingerprinting Model for Musical Audio. In: IEEE Tenth International Symposium (2006)

    Google Scholar 

  4. Burges, C.J.C., Platt, J.C., Jana, S.: Distortion Discriminant Analysis for Audio Fingerprinting. IEEE Transaction on speech and processings (2003)

    Google Scholar 

  5. Seo, J.S., Jin, M., Lee, S., Jang, D., Lee, S., Yoo, C.D.: Audio Fingerprinting Based on Normalized Spectral Subband Moments. Signal Processing Letters (2006)

    Google Scholar 

  6. Haitsma, J., Kalker, T.: Speed-change resistant audio fingerprinting using auto-correlation. Acoustics, Speech and Signal Processing (2003)

    Google Scholar 

  7. ISO/IEC FDIS 15938-4:2001(E), Information Technology-Multimedia Content Description Interface-Part 4: Audio

    Google Scholar 

  8. Kabal, P.: An Examination and Interpretation of ITU-R BS.1387: Perceptual Evaluation of Audio Quality. McGill University (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Jianping Chen

  2. Key Laboratory of Machine Perception(Ministry of Education), Peking University, Beijing, 100871, China

    Tiejun Huang

Authors
  1. Jianping Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tiejun Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Engineering Science, National Cheng Kung University, No.1, University Road, 701, Tainan City, Taiwan

    Yueh-Min Ray Huang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95, Zhongguancun East Road, 100190, Beijing, China

    Changsheng Xu

  3. Institute of Biomedical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Kuo-Sheng Cheng

  4. Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Jar-Ferr Kevin Yang

  5. Department of Electrical and Computer Engineering, Concordia University, S-EV005.139, 1515 St. Catherine West, Montreal, H4G 2W1, Quebec, Canada

    M. N. S. Swamy

  6. Microsoft Research Asia, 5/F, Beijing Sigma Center, No. 49, Zhichun Road, Hai Dian District, 100080, Beijing, China

    Shipeng Li

  7. Department of Information Management, National Kaohsiung University of Applied Sciences, No. 415, Jiangong Road, Sanmin District, 80778, Kaohsiung, Taiwan

    Jen-Wen Ding

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, J., Huang, T. (2008). A Robust Feature Extraction Algorithm for Audio Fingerprinting. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_106

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89796-5_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89795-8

  • Online ISBN: 978-3-540-89796-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation