• DocumentCode
    3685335
  • Title

    Voice quality in patients suffering from bipolar disease

  • Author

    Andrea Guidi;Jean Schoentgen;Gilles Bertschy;Claudio Gentili;Luigi Landini;Enzo Pasquale Scilingo;Nicola Vanello

  • Author_Institution
    Andrea Guidi, Luigi Landini, Enzo Pasquale Scilingo and Nicola Vanello are with Research Center “
  • fYear
    2015
  • Firstpage
    6106
  • Lastpage
    6109
  • Abstract
    People suffering from bipolar disease are more and more common. Such pathology can severely affect patients´ lifestyle by wide, and sometimes extreme, mood swings. Biosignals can be very useful to understand this disease. Specifically, speech-related features have been seen to vary in depressed people with respect to healthy subjects. Usually prosodic, spectral and energy-related features are studied. Some further information, instead, can be provided studying voice quality. According to Laver´s model, voice quality is sensitive and depends on both anatomic/physiologic issues and long-term muscular adjustments of the larynx or the supraglottal vocal tract. A pilot study on both bipolar patients and healthy control subjects, performed by means of the Long-Term Average Spectrum (LTAS) is presented. The effects on LTAS estimation of a F0-correction procedure are discussed. Pairwise statistical comparisons between subjects in euthymic and depressed states and euthymic and hypomanic states were performed. Significant differences were found in some frequency intervals in both cases. The F0-correction procedure modified the values of the significant frequency intervals in the euthymic/depressed comparison, that also was characterized by a change of F0. Noticeably, no statistically significant differences were found in control subjects acquired in the same mood state. Though the number of subjects is small, the results are encouraging given their coherence across patients and the lack of differences in the control group. Finally, this work suggests that particular vocal settings might be involved in different mood states.
  • Keywords
    "Mood","Speech","Diseases","Biomedical engineering","Estimation","Electronic mail","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319785
  • Filename
    7319785