Application of the Wavelet Transform for Pitch Detection of Speech Signals
Date of Original Version
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 this event based pitch detector in comparison with classical pitch detectors that use the autocorrelation and the cepstrum methods to estimate the pitch period. © 1992 IEEE
IEEE Transactions on Information Theory
Kadambe, Shubha, and G. F. Boudreaux-Bartels. "Application of the Wavelet Transform for Pitch Detection of Speech Signals." IEEE Transactions on Information Theory 38, 2 (1992): 917-924. doi:10.1109/18.119752.