Detecting Pitch Period Based on Hilbert-Huang Transform
Zhi Xiang Yang, Qi Dong, Yang Li · Chinese Journal of Computers · 2006
In this paper,a novel algorithm of detecting pitch period from a speech signal based on Hilbert-Huang transform is proposed.Due to its high time-frequency local character and being applicable to nonlinear and non-stationary process,Hilbert-Huang transform is employed to analyze a speech signal and calculate its instantaneous energy,based on which the glottal pulses can be located accurately and the variation of the pitch period can be traced.As a result,the pitch period can be detected accurately.Comparing with the existing methods,the algorithm has advantages as following: It is unnecessary to assume that the pitch period is stationary within any segment;A high accuracy and a wide applicability can be received;It can be used to trace the variation of the pitch period;It is easy to discriminate unvoiced and voiced;The length of a frame is lengthened,which saves the consumption used to put together frames as being done in some existing methods when a continuous conversational speech signal is processed.Experiments on both synthesized data and real speech signals show encouraging detection results.It is a significative attempt to apply the new theory of Hilbert-Huang transform to detect pitch period from a speech signal.