| Title | Optimal cepstrum estimation using multiple windows |
| Authors | Maria Sandsten, Johan Sandberg |
| Alternative Location | http://ltswww.epfl.ch/ltsft..., Restricted Access |
| Alternative Location | http://dx.doi.org/10.1109/I... |
| Publication | International Conference on Acoustics Speech and Signal Processing ICASSP |
| Year | 2009 |
| Pages | 3077 - 3080 |
| Document type | Conference paper |
| Conference name | ICASSP: International Conference on Acoustics, Speech and Signal Processing |
| Conference Date | 2009-04-19 - 2009-04-24 |
| Conference Location | Taipei, Taiwan |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE |
| Abstract English | The aim of this paper is to find a multiple window estimator<br> that is mean square error optimal for cepstrum estimation.<br> The estimator is compared with some known multiple window<br> methods as well as with the parametric AR-estimator.<br> The results show that the new estimator has high performance,<br> especially for data with large spectral dynamics, and that it is<br> also robust against parameter choices. Simulated speech data<br> is used for the evaluation. It is also shown that the windows<br> of the estimator can be approximated with the sinusoidal multiple<br> windows and that the weighting factors of the different<br> periodograms can be analytically computed. |
| Keywords | speech analysis, multitaper, multiple windows, cepstrum analysis, |
| ISBN/ISSN/Other | ISSN: 1520-6149 ISBN: 978-1-4244-2353-8 |
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