Pitch determination of noisy speech using higher order statistics
Document typeConference report
Rights accessOpen Access
The use of third-order statistics to determine the pitch of a speech signal and how they can eliminate the effect of a wide range of noises, including those generated by periodic sources, are shown. The proposed algorithm is based on the property that higher-order statistics can extract useful information about the statistics of voiced frames, and they can separate speech from noise. Third-order statistics are quite insensitive to most noises (Gaussian, sinusoidal, car noise, etc.) because these noises have a symmetric probability density function, and therefore their third-order cumulants are zero. The algorithm has been tested in noise-corrupted speech, at different levels of signal to noise ratio, and with different kinds of noise. The results show that this new algorithm gives in all the cases a much better estimation of the pitch than the conventional autocorrelation method.
CitationMoreno, A., Fonollosa, José A. R. Pitch determination of noisy speech using higher order statistics. A: International Conference on Acoustics, Speech, and Signal Processing. ICASSP'92. "ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing: March 23-26, 1992". . IEEE, 1992, p. 133-136.