SynthesisGeneral psychiatry2019
Speech databases for mental disorders: A systematic review.
Synthesis in General psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Interpretable Probabilistic Identification of Depression in Speech.Sensors (Basel, Switzerland) · 2025Article
- Siamese Neural Network for Speech-Based Depression Classification and Severity Assessment.Journal of healthcare informatics research · 2024Article
- The Case of the Cookie Jar: Differences in Typical Language Use in Dementia.Journal of Alzheimer's disease : JAD · 2024Article
- Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt.Speech communication · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe employment of clinical databases in the study of mental disorders is essential to the diagnosis and treatment of patients with mental illness. While text corpora obtain merely limited information of content, speech corpora capture tones, emotions, rhythms and many other signals beyond content. Hence, the design and development of speech corpora for patients with mental disorders is increasingly important.
aimThis review aims to extract the existing speech corpora for mental disorders from online databases and peer-reviewed journals in order to demonstrate both achievements and challenges in this area.
methodsThe review first covers publications or resources worldwide, and then leads to the reports from China, followed by a comparison between Chinese and non-Chinese regions.
resultsMost of the speech databases were recorded in Europe or the United States by audio or video. Some were even supplemented by brain images and Event-Related Potential (ERP) statistics. The corpora were mostly developed for patients with neurocognitive disorders like stutter and aphasia, and mental illness like dementia, while other types of mental illness such as bipolar disorder, anxiety, depression and autism were scarce in number in database development. STRENGTHS AND LIMITATIONS: The results demonstrated that database development of neurocognitive disorders in China is much scarcer than that in some European countries, but the existing databases pave an instructive road for psychiatric problems. Also, the methods and applications of databases from the leading countries are inspiring for Chinese scholars, who are searching methods for developing a comprehensive resource for clinical studies.
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