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Optimal cepstrum estimation using multiple windows

Publiceringsår: 2009
Språk: Engelska
Sidor: 3077-3080
Publikation/Tidskrift/Serie: International Conference on Acoustics Speech and Signal Processing ICASSP
Dokumenttyp: Konferensbidrag
Förlag: IEEE


The aim of this paper is to find a multiple window estimator
that is mean square error optimal for cepstrum estimation.
The estimator is compared with some known multiple window
methods as well as with the parametric AR-estimator.
The results show that the new estimator has high performance,
especially for data with large spectral dynamics, and that it is
also robust against parameter choices. Simulated speech data
is used for the evaluation. It is also shown that the windows
of the estimator can be approximated with the sinusoidal multiple
windows and that the weighting factors of the different
periodograms can be analytically computed.



  • Probability Theory and Statistics
  • speech analysis
  • multitaper
  • multiple windows
  • cepstrum analysis


ICASSP: International Conference on Acoustics, Speech and Signal Processing
2009-04-19 - 2009-04-24
Taipei, Taiwan
  • ISSN: 1520-6149
  • ISBN: 978-1-4244-2353-8

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