A new glottal flow pulses extraction approach based on jointly parametric and nonparametric estimation
Yiqiao Chen, J.N. Gowdy · 2013
Linear prediction (LP) and complex cepstrum (CC) approaches have been shown to be effective for extracting glottal flow pulses (GFPs). This paper proposes a new approach, which first employs an odd-order LP analysis to find parameters of an all-pole model by least-squares (LS) methods and then uses deconvolution to obtain coarse GFPs by inverse filtering. Then, CC-based phase decomposition is used to obtain a refined estimate by further suppressing the remaining minimum-phase information from results after the inverse filtering. We demonstrate the effectiveness of this new approach by applying it to both synthetic and real speech voiced utterances.