Automatic analysis of speech F0 contour for the characterization of mood changes in bipolar patients
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Self-citation
- 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
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- 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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