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. 2023 Jun 21;14:1195276. doi: 10.3389/fpsyt.2023.1195276

Table 1.

Summaries of features.

Feature Name Num
F0 Vocal cord vibration cycle 1
VUV Vector containing the binary voicing decisions 1
NAQ Normalized amplitude quotient is presented as a method to parametrize the glottal closing phase 1
QOQ The quasiopen period describes the duration of the glottal flow above 50% of the peak amplitude 1
H1H2 Difference in glottal harmonic amplitude 1
PSP Parabolic spectral parameter fitting a parabolic function to the low-frequency part of the estimated glottal flow 1
MDQ The Maxima Dispersion Quotient, is proposed for discriminating breathy to tense voice 1
Peak Slope Slope coefficient of a regression line fit to local peak by using wavelet analysis. 1
Rd The Rd. shape parameter of the Liljencrants-Fant (LF) glottal model using the Mean Squared Phase (MSP) method based on MSPD2 1
Rd-conf 1
Creak Detect creaky voice using acoustic features by an artificial neural network 1
MCEP Transform the spectrogram into a Mel spectrum through the Mel scale filter bank, and then perform cepstrum analysis 25
HMPDM Harmonic Model Phase Distortion Mean and Harmonic Model Phase Distortion Deviation are flexible representation of the glottal source based on the short-term statistics of the phase distortion 25
HMPDD 13
Peak-to-RMS Peak-to-RMS measure reflecting a local loudness metric related to waveform shape across a few pitch periods 1
Formant Formants refer to areas where energy is relatively concentrated in the sound spectrum 5
MFCC-deltas Reflecting the dynamic information of the spectrum envelope on a frame of voice signal 20
MFCC-delta-deltas 20