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Correction: Automatic detection of expressed emotion from five-minute speech samples: Challenges and opportunities

Year: 2025

Type: erratum

Abstract: [This corrects the article DOI: 10.1371/journal.pone.0300518.].

Source: PLoS ONE

DOI: 10.1371/journal.pone.0338220

Authors: Bahman Mirheidari, André Bittar, Nicholas Cummins, Johnny Downs, Helen L. Fisher, Heidi Christensen

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,382

Funders: National Institute for Health and Care Research, Department of Health and Social Care, King's College London, NIHR Maudsley Biomedical Research Centre, Medical Research Council, Economic and Social Research Council

Awards: G175695938, G4036427723, E-Risk Longitudinal Twin Study age-30 follow-up: a unique resource for studying mental health, adversity & prosperity over the first 3 decades of life, Centre for Society and Mental Health, Remote Extra-clinic Monitoring of ADHD In the NHS (REMAIN) Study, The automated coding of expressed emotion to enhance clinical and epidemiological mental health research in adolescence

OpenAlex ID: W4417076439

Cites: 1

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