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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--Institute of Electrical and Electronics Engineers Inc.


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
  • Statistical Signal Processing Group
  • ISSN: 1520-6149
  • ISBN: 978-1-4244-2353-8

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