Cited by 43Emotion and Mood RecognitionBipolar Disorder and TreatmentSpeech Recognition and Synthesis

Automatic analysis of speech F0 contour for the characterization of mood changes in bipolar patients

Open access
Guidi, A., Vanello, N., Bertschy, G., Gentili, C., Landini, L., Scilingo, E.P.·2015·Biomedical Signal Processing and Control

Integrity signals

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Crossref · 10.1016/j.bspc.2014.10.011

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39 of 39 references verified0 citation errors · 0 not checkable

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Authors
Guidi, A., Vanello, N., Bertschy, G., Gentili, C., Landini, L., & Scilingo, E. P.
Affiliations
  • University of Pisa (IT)
  • Inserm (FR)
Corresponding author
Guidi, A.
Venue
Biomedical Signal Processing and Control
Publisher
Elsevier BV
Published
2015-03
Volume
17
Pages
29-37
ISSN
1746-8094 (ISSN-L)
OpenAlex
W2074657431
Cited by
43
References
39
Citations by year
2026: 1 · 2025: 5 · 2024: 5 · 2023: 5 · 2022: 2 · 2021: 7 · 2020: 2 · 2019: 6 · 2018: 2 · 2017: 3 · 2016: 3 · 2015: 2
FWCI
3.71
Type
journal article
Language
en
Open access
Locations
  • Biomedical Signal Processing and Control (publishedVersion)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by-nc-nd)
  • CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion)
Funders
FP7-ICT Framework Programme (247777)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
Keywords
bipolar disorder, fundamental frequency contour, mood tracking, emotional speech database

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