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Application of the wavelet transform for pitch detection of speech signals

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2 Author(s)
Kadambe, S. ; Appl. Sci. & Eng. Lab., A.I. duPont Inst., Wilmington, DE, USA ; Boudreaux-Bartels, G.F.

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.<>

Published in:

Information Theory, IEEE Transactions on  (Volume:38 ,  Issue: 2 )

Date of Publication:

March 1992

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