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Content Provider | IEEE Xplore Digital Library |
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Author | Moore II, E. Clements, M. Peifer, J. Weisser, L. |
Copyright Year | 2003 |
Description | Author affiliation: Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA (Moore, E., II; Clements, M.) |
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. |
Sponsorship | Whitaker Found |
Starting Page | 2849 |
Ending Page | 2852 |
File Size | 410049 |
Page Count | 4 |
File Format | |
ISBN | 0780377893 |
ISSN | 1094687X |
DOI | 10.1109/IEMBS.2003.1280512 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-09-17 |
Publisher Place | Mexico |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Speech analysis Speech processing Acoustic waves Biomedical engineering Psychiatry Educational institutions Biomedical acoustics Loudspeakers Stress Pattern analysis |
Content Type | Text |
Resource Type | Article |
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