Journal article
Relative importance of speech and voice features in the classification of schizophrenia and depression
Translational psychiatry, Vol.13(1), pp.298-298
09/19/2023
DOI: 10.1038/s41398-023-02594-0
PMCID: PMC10509176
PMID: 37726285
Abstract
Speech is a promising biomarker for schizophrenia spectrum disorder (SSD) and major depressive disorder (MDD). This proof of principle study investigates previously studied speech acoustics in combination with a novel application of voice pathology features as objective and reproducible classifiers for depression, schizophrenia, and healthy controls (HC). Speech and voice features for classification were calculated from recordings of picture descriptions from 240 speech samples (20 participants with SSD, 20 with MDD, and 20 HC each with 4 samples). Binary classification support vector machine (SVM) models classified the disorder groups and HC. For each feature, the permutation feature importance was calculated, and the top 25% most important features were used to compare differences between the disorder groups and HC including correlations between the important features and symptom severity scores. Multiple kernels for SVM were tested and the pairwise models with the best performing kernel (3-degree polynomial) were highly accurate for each classification: 0.947 for HC vs. SSD, 0.920 for HC vs. MDD, and 0.932 for SSD vs. MDD. The relatively most important features were measures of articulation coordination, number of pauses per minute, and speech variability. There were moderate correlations between important features and positive symptoms for SSD. The important features suggest that speech characteristics relating to psychomotor slowing, alogia, and flat affect differ between HC, SSD, and MDD.
Details
- Title: Subtitle
- Relative importance of speech and voice features in the classification of schizophrenia and depression
- Creators
- Mark Berardi - University Hospital BonnKatharina Brosch - Philipps University of MarburgJulia-Katharina Pfarr - Univ Marburg, Dept Psychiat & Psychotherapy, Marburg, GermanyKatharina Schneider - Johannes Gutenberg University MainzAngela Sueltmann - Univ Marburg, Dept Psychiat & Psychotherapy, Marburg, GermanyFlorian Thomas-Odenthal - Univ Marburg, Dept Psychiat & Psychotherapy, Marburg, GermanyAdrian Wroblewski - Philipps University of MarburgPaula Usemann - Philipps University of MarburgAlexandra Philipsen - University Hospital BonnUdo Dannlowski - University of MünsterIgor Nenadic - Philipps University of MarburgTilo Kircher - Philipps University of MarburgAxel Krug - University Hospital BonnFrederike Stein - Philipps University of MarburgMaria Dietrich - University Hospital Bonn
- Resource Type
- Journal article
- Publication Details
- Translational psychiatry, Vol.13(1), pp.298-298
- DOI
- 10.1038/s41398-023-02594-0
- PMID
- 37726285
- PMCID
- PMC10509176
- NLM abbreviation
- Transl Psychiatry
- ISSN
- 2158-3188
- eISSN
- 2158-3188
- Publisher
- Springer Nature
- Number of pages
- 8
- Grant note
- 240413749; FOR2107; STE 3301/1-1; 527712970 / German Research Foundation; German Research Foundation (DFG)
- Language
- English
- Date published
- 09/19/2023
- Academic Unit
- Communication Sciences and Disorders
- Record Identifier
- 9984721125902771
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