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Multitaper Estimation of Frequency-Warped Cepstra with Application to Speaker Verification

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Author

  • Johan Sandberg
  • Maria Sandsten
  • Tomi Kinnunen
  • Rahim Saeidi
  • Patrick Flandrin
  • Pierre Borgnat

Summary, in English

Usually the mel-frequency cepstral coefficients are estimated either from a periodogram or from a windowed periodogram. We state a general estimator which also includes multitaper estimators. We propose approximations of the variance and bias of the estimate of each coefficient. By using Monte Carlo computations, we demonstrate that the approximations are accurate. Using the proposed formulas, the peak matched multitaper estimator is shown to have low mean square error (squared bias + variance) on speech-like processes. It is also shown to perform slightly better in the NIST 2006 speaker verification task as compared to the Hamming window conventionally used in this context.

Department/s

Publishing year

2010

Language

English

Pages

343-346

Publication/Series

IEEE Signal Processing Letters

Volume

17

Issue

4

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Probability Theory and Statistics

Keywords

  • Speech analysis
  • Multitapers
  • Speaker verification
  • Cepstral analysis
  • Multiple windows
  • MFCC

Status

Published

Research group

  • Statistical Signal Processing Group

ISBN/ISSN/Other

  • ISSN: 1070-9908