Speech analysis for mood state characterization in bipolar patients

@article{Vanello2012SpeechAF,
  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},
  year={2012},
  pages={2104-2107}
}
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
Highly Cited
This paper has 77 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 1 time over the past 90 days. VIEW TWEETS
26 Citations
14 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

78 Citations

010203020142015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 78 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 14 references

CMU ARCTIC databases for speech synthesis CMU Language Technologies Institute

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

Similar Papers

Loading similar papers…