Application of the wavelet transform for pitch detection of speech signals

Authors:
S. Kadambe;G. F. Boudreaux-Bartels
Affiliations:
Appl. Sci. & Eng. Lab., A.I. duPont Inst., Wilmington, DE;-
Venue:
IEEE Transactions on Information Theory - Part 2
Year:
2006

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Abstract

An event-detection pitch detector based on the dyadic wavelet transform is described. The proposed pitch detector is suitable for both low-pitched and high-pitched speakers and is robust to noise. Examples are provided that demonstrate the superior performance of the pitch detector in comparison with classical pitch detectors that use the autocorrelation and the cepstrum methods to estimate the pitch period