Title :
Robust pitch extraction in pathological voice based on wavelet and cepstrum
Author :
Hu Weiping ; Wang Xiuxin ; Gomez, Pedro
Author_Institution :
Guangxi Normal Univ., Guilin, China
Abstract :
This paper proposes a new method for pitch extraction, especially useful for pathological voice, by using the wavelet transform in the frequency domain, and disregarding the upper half signal. In this way the benefits of discrete dyadic wavelet transform are combined and the performance of the cepstral method is dramatically improved. This method can also be used for robust pitch extraction in noisy environments.
Keywords :
cepstral analysis; discrete wavelet transforms; feature extraction; cepstral method; discrete dyadic wavelet transform; frequency domain; noisy environments; pathological voice; pitch extraction; Abstracts; Cepstrum; Frequency estimation; Frequency-domain analysis; Noise measurement;
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7