Key points are not available for this paper at this time.
This study presents an improved version of our previously introduced formant tracking algorithm. The algorithm is based on processing the negative derivative of the argument of the chirp-z transform (termed as the differential phase spectrum) of a given speech signal. No modeling is included in the procedure but only peak picking on differential phase spectrum. We discuss the effects of roots of z-transform to differential phase spectrum and the need to ensure that all zeros are at some distance from the circle where chirp-z transform is computed. For that, we include an additional zero-decomposition step in our previously presented algorithm to improve its robustness. The final version of the algorithm is tested for analysis of synthetic speech and real speech signals and compared to two other formant tracking systems. 1.
Building similarity graph...
Analyzing shared references across papers
Loading...
University of Mons
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
Add This Paper to Your Research Feed
Any time a new paper drops it will be there.
Bozkurt et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: