Speech analysis for mood state characterization in bipolar patients

  title={Speech analysis for mood state characterization in bipolar patients},
  author={Nicola Vanello and Andrea Guidi and Claudio Gentili and Sandra Werner and Gilles Bertschy and Gaetano Valenza and Antonio Lanata and Enzo Pasquale Scilingo},
  journal={2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
Bipolar disorders are characterized by an unpredictable behavior, resulting in depressive, hypomanic or manic episodes alternating with euthymic states. A multi-parametric approach can be followed to estimate mood states by integrating information coming from different physiological signals and from the analysis of voice. In this work we propose an algorithm to estimate speech features from running speech with the aim of characterizing the mood state in bipolar patients. This algorithm is based… CONTINUE READING
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CMU ARCTIC databases for speech synthesis CMU Language Technologies Institute

  • J. Kominek, A. Black
  • Language Technologies Institute, CMU, Pittsburgh…
  • 2003
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