Spectral Subband Centroids as Complementary Features for Speaker Authentication

  • Norman Poh Hoon Thian
  • Conrad Sanderson
  • Samy Bengio
Conference paper

DOI: 10.1007/978-3-540-25948-0_86

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3072)
Cite this paper as:
Thian N.P.H., Sanderson C., Bengio S. (2004) Spectral Subband Centroids as Complementary Features for Speaker Authentication. In: Zhang D., Jain A.K. (eds) Biometric Authentication. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg

Abstract

Most conventional features used in speaker authentication are based on estimation of spectral envelopes in one way or another, e.g., Mel-scale Filterbank Cepstrum Coefficients (MFCCs), Linear-scale Filterbank Cepstrum Coefficients (LFCCs) and Relative Spectral Perceptual Linear Prediction (RASTA-PLP). In this study, Spectral Subband Centroids (SSCs) are examined. These features are the centroid frequency in each subband. They have properties similar to formant frequencies but are limited to a given subband. Empirical experiments carried out on the NIST2001 database using SSCs, MFCCs, LFCCs and their combinations by concatenation suggest that SSCs are somewhat more robust compared to conventional MFCC and LFCC features as well as being partially complementary.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Norman Poh Hoon Thian
    • 1
  • Conrad Sanderson
    • 1
  • Samy Bengio
    • 1
  1. 1.IDIAPMartignySwitzerland

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