Skip to main content
SpringerLink
Log in
Book cover

Application of Wavelets in Speech Processing pp 33–35Cite as

Speaker Recognition

  • Chapter
  • First Online:

  • 1364 Accesses

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSSPEECHTECH))

Abstract

MFCC features are widely used in speaker recognition. However, MFCC is not suitable for identifying a speaker since they should be located in high frequency regions, while the Mel scale gets coarser in the higher frequency bands. The speaker individual information, which is nonuniformly distributed in the high frequencies, is equally important for speaker recognition; accordingly, wavelet-based features are more appropriate than MFCC.

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   59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. V. Tiwari, J. Singhai, Wavelet based noise robust features for speaker recognition. Signal Process.: Int. J. (SPIJ) 5(2), 52–64 (2011)

    Google Scholar 

  2. T. Kinnunen, H. Li, An overview of text-independent speaker recognition: From features to supervectors. Speech Commun. 52(1), 12–40 (2010)

    Article  Google Scholar 

  3. T. Ganchev, M. Siafarikas, N. Fakotakis, in Speaker Verification Based on Wavelet Packets, Lecture Notes in Computer Science, vol. LNAI 3206/2004 (Springe, Heidelberg, 2004), pp. 299–306

    Google Scholar 

  4. N. Zheng, T. Lee, P. Ching, Integration of complementary acoustic features for speaker recognition. IEEE Signal Process. Lett. 14(3), 181–184 (2007)

    Article  Google Scholar 

  5. S.M. Deshpande, R.S. Holambe, Speaker identification using admissible wavelet packet based decomposition. Int. J. Inf. Commun. Eng. 6(1), 20–23 (2010)

    Google Scholar 

  6. B. Ziółko, W. Kozłowski, M. Ziółko, R. Samborski, D. Sierra, J. Gałka, Hybrid wavelet-fourier-HMM speaker recognition. Int. J. Hybrid Inf. Technol. 4(4), 25–42 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Engineering Mathematics and Physics Department, Cairo University, Cairo, Egypt

    Mohamed Hesham Farouk

Authors
  1. Mohamed Hesham Farouk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mohamed Hesham Farouk .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 The Author(s)

About this chapter

Cite this chapter

Farouk, M.H. (2014). Speaker Recognition. In: Application of Wavelets in Speech Processing. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-02732-6_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02732-6_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02731-9

  • Online ISBN: 978-3-319-02732-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation