Pitch Detection Method Based on Morphological Filtering and HHT
Wang Yao-q · Journal of the China Railway Society · 2014
The new method of pitch detection based on morphological filtering and Hilbert-Huang transform(HHT)was proposed.Noisy speech signals were filtered by the morphological filter to remove noises and highlight pitch,and then HHT was employed to get the Hilbert-Huang spectrum and calculate instantaneous energy and its derivative.The moment of glottal opening and closing can be located accurately through mutation of instantaneous energy,so variation of pitch periods can be tracked accurately.Compared with other traditional methods of pitch detection,the proposed method truely describes the non-stationary and non-linear characteristics of speech signals,and its analysis on voice signals is an adaptive process.The experimental results show that the method gives strong noise immunity and can accurately detect pitch of speech signals in low SNR.