Optimal cepstrum estimation using multiple windows
Author
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.
Department/s
- Mathematical Statistics
- Statistical Signal Processing Group
Publishing year
2009
Language
English
Pages
3077-3080
Publication/Series
International Conference on Acoustics Speech and Signal Processing ICASSP
Links
Document type
Conference paper
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Probability Theory and Statistics
Keywords
- 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
Research group
- Statistical Signal Processing Group
ISBN/ISSN/Other
- ISSN: 1520-6149
- ISBN: 978-1-4244-2353-8