Title :
Application of the wavelet transform for pitch detection of speech signals
Author :
Kadambe, S. ; Boudreaux-Bartels, G.F.
Author_Institution :
Appl. Sci. & Eng. Lab., A.I. duPont Inst., Wilmington, DE, USA
fDate :
3/1/1992 12:00:00 AM
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.<>
Keywords :
signal detection; speech analysis and processing; transforms; dyadic wavelet transform; event-detection pitch detector; pitch detection; pitch period; speech signals; Detectors; Event detection; Maximum likelihood detection; Natural languages; Signal detection; Signal synthesis; Signal to noise ratio; Speech analysis; Speech synthesis; Wavelet transforms;
Journal_Title :
Information Theory, IEEE Transactions on
