Title :
Pitch detection of nosy speech signal based on Bark wavelet transform
Author :
Heming, Zhao ; Qi, Zhu ; Yibiao, Yu ; Xueqin, Chen
Author_Institution :
Dept. of Commun. & Electron. Eng., Suzhou Univ., China
Abstract :
On the basis of psychological acoustic theories and experiments, this paper introduces the concept of Bark wavelet, and applies it to pitch detection of noisy speech signals. Experimental results obtained indicate this method is more suitable for noisy speech signals than the classical pure autocorrelation method.
Keywords :
speech processing; wavelet transforms; Bark wavelet transform; noisy speech signal; pitch detection; psychological acoustics; speech processing; Acoustic noise; Acoustic signal detection; Acoustic waves; Frequency domain analysis; Speech analysis; Speech enhancement; Speech processing; Wavelet domain; Wavelet transforms; Working environment noise;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181079
