Multitaper Estimation of Frequency-Warped Cepstra With Application to Speaker Verification

作者：Sandberg Johan^*; Hansson Sandsten Maria; Kinnunen Tomi; Saeidi Rahim; Flandrin Patrick; Borgnat Pierre

来源：IEEE Signal Processing Letters, 2010, 17(4): 343-346.

DOI：10.1109/LSP.2010.2040228

• Cepstral analysis
• MFCC
• multiple windows
• multitapers
• speaker verification
• speech analysis

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.

• 出版日期2010-4