Meny

Javascript verkar inte påslaget? - Vissa delar av Lunds universitets webbplats fungerar inte optimalt utan javascript, kontrollera din webbläsares inställningar.
Du är här

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--Institute of Electrical and Electronics Engineers Inc.

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.

Nyckelord

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

Övriga

ICASSP: International Conference on Acoustics, Speech and Signal Processing
Published
  • Statistical Signal Processing Group
  • ISSN: 1520-6149
  • ISBN: 978-1-4244-2353-8

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu.se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen