feature set including complete values of CSF and extended statistical values of supra-segmental parameters (P3); 4.
feature set containing a ratio of formant frequencies F 1, F 2, a formant tilt, values for all types of CSF, and extended values of supra-segmental parameters (P4); 5.
For implementation of the supra-segmental parameters of emotional speech, the statistical types of median values, range of values, std, and/or relative maximum and minimum we used in the feature vectors.
For our experiments, we set up six basic feature sets and a special one as the input data vectors for GMM training and classification see detailed description of their structure in Tables 1,2,3,4,5,6 and7: 1. feature set containing only statistical values of supra-segmental parameters (P1); 2.
4, it is intuitively clear that it will work best in the supra-threshold parameter regime when the bell curve is truly moving past the threshold as a whole and less so for subthreshold regimes, when only the diffusive force serves to propel the process to reach v th.
Indeed, studies of yesteryear have demonstrated that targeting "supra-normal" hemodynamic parameters may be harmful [13, 14].
Indeed, studies of yesteryear have demonstrated that targeting "supra-normal" hemodynamic parameters may be harmful [ 13, 14].
For GMM recognition, they apply the features consisting first of all of the MFCC parameters, complemented with supra-segmental ones (mean, maximum, and minimum values of F0, the maximum steepness and dispersion of F0[37], intensity, low-pass intensity, high-pass intensity, etc.[40]).
In general, both the Fortet and Fokker Planck algorithm estimate the parameters well in the supra-threshold, critical and supersinusoidal regimes.
Improvements in clinical parameters (PD, CAL, INTRA, and SUPRA) were found to be statistically highly significant (p < 0.0001).
