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Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech

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4 Author(s)
Moore, E. ; Georgia Inst. of Technol., Savannah ; Clements, M.A. ; Peifer, J.W. ; Weisser, L.

The motivation for this work is in an attempt to rectify the current lack of objective tools for clinical analysis of emotional disorders. This study involves the examination of a large breadth of objectively measurable features for use in discriminating depressed speech. Analysis is based on features related to prosodics, the vocal tract, and parameters extracted directly from the glottal waveform. Discrimination of the depressed speech was based on a feature selection strategy utilizing the following combinations of feature domains: prosodic measures alone, prosodic and vocal tract measures, prosodic and glottal measures, and all three domains. The combination of glottal and prosodic features produced better discrimination overall than the combination of prosodic and vocal tract features. Analysis of discriminating feature sets used in the study reflect a clear indication that glottal descriptors are vital components of vocal affect analysis.

Published in:

Biomedical Engineering, IEEE Transactions on  (Volume:55 ,  Issue: 1 )

Date of Publication:

Jan. 2008

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