| Title | Multitaper Estimation of Frequency-Warped Cepstra with Application to Speaker Verification |
| Authors | Johan Sandberg, Maria Sandsten, Tomi Kinnunen, Rahim Saeidi, Patrick Flandrin, Pierre Borgnat |
| Alternative Location | http://dx.doi.org/10.1109/L..., Restricted Access |
| Publication | IEEE Signal Processing Letters |
| Year | 2010 |
| Volume | 17 |
| Issue | 4 |
| Pages | 343 - 346 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE |
| Abstract English | Usually the mel-frequency cepstral coefficients are estimated either from a periodogram or from a windowed periodogram. We state a general estimator which also includes multitaper estimators. We propose approximations of the variance and bias of the estimate of each coefficient. By using Monte Carlo computations, we demonstrate that the approximations are accurate. Using the proposed formulas, the peak matched multitaper estimator is shown to have low mean square error (squared bias + variance) on speech-like processes. It is also shown to perform slightly better in the NIST 2006 speaker verification task as compared to the Hamming window conventionally used in this context. |
| Keywords | Speech analysis, Multitapers, Speaker verification, Cepstral analysis, Multiple windows, MFCC, |
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