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Optimal cepstrum estimation using multiple windows

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

Sammanfattning

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.

Disputation

Nyckelord

  • Technology and Engineering
  • speech analysis
  • multitaper
  • multiple windows
  • cepstrum analysis

Övriga

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

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