| Abstract: |
Classifying emotion and emotion related
disorders in the voice have often been studied utilizing prosodic
(pitch, energy, speaking rate) and other spectral characteristics
(formants, power spectral density) of the acoustic speech signal.
Glottal waveform features have received little attention in the study
of many emotion and emotion related disorders, but have shown strong
correlations in a variety of speech pattern studies including speaker
characterization and stress analysis. We employ glottal extraction
techniques to obtain features related to timing, ratios, shimmer, and
spectral characteristics of the glottal waveform in the study of
clinical depression. Our study reports on several glottal waveform
features that show very good separation among a control group and
patient group of males and females suffering from a depressive disorder.
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