Wavelet transform-based pitch period estimation is well known in the literature. This approach to pitch estimation assumes that the glottis closures are correlated with the maxima in the adjacent scales of the wavelet transform and for pitch period estimation, one needs to detect these correlated maxima across these scales, which is often prone to error especially in the case of noisy signals. In this paper, we develop an optimization scheme in the wavelet framework using a multipulse excitation model for the speech signal and the pitch period is estimated as a result of this optimization. We report experiments on both clean and noisy conditions and show that the proposed optimization works better than wide used heuristic approach for maxima detection.
Bibliographic reference. Ghosh, Prasanta Kumar / Ortega, Antonio / Narayanan, Shrikanth S. (2007): "Pitch period estimation using multipulse model and wavelet transform", In INTERSPEECH-2007, 2761-2764.