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

In English

Författare

  • 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.

Avdelning/ar

Publiceringsår

2010

Språk

Engelska

Sidor

343-346

Publikation/Tidskrift/Serie

IEEE Signal Processing Letters

Volym

17

Issue

4

Dokumenttyp

Artikel i tidskrift

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Probability Theory and Statistics

Nyckelord

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

Status

Published

Forskningsgrupp

  • Statistical Signal Processing Group

ISBN/ISSN/Övrigt

  • ISSN: 1070-9908