Optimal cepstrum estimation using multiple windows
Författare
Summary, in English
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.
Avdelning/ar
- Matematisk statistik
- Statistical Signal Processing Group
Publiceringsår
2009
Språk
Engelska
Sidor
3077-3080
Publikation/Tidskrift/Serie
International Conference on Acoustics Speech and Signal Processing ICASSP
Länkar
Dokumenttyp
Konferensbidrag
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Probability Theory and Statistics
Nyckelord
- speech analysis
- multitaper
- multiple windows
- cepstrum analysis
Conference name
ICASSP: International Conference on Acoustics, Speech and Signal Processing
Conference date
2009-04-19 - 2009-04-24
Conference place
Taipei, Taiwan
Status
Published
Forskningsgrupp
- Statistical Signal Processing Group
ISBN/ISSN/Övrigt
- ISSN: 1520-6149
- ISBN: 978-1-4244-2353-8