Background The 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.
Aim This 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.
Methods The 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.
Results Most 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.
- speech database
- mental disorder
This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
Statistics from Altmetric.com
Correction notice This article has been amended since it was first published online. Figure 1 has been updated to the correct version.
Contributors CBL has suggested and proposed the research topic and potential databases for the study. HWD has directed the research background, significance and discussion based on the result. YLL has done the research procedure and result analysis of the study. YL has helped in the literature search and screening.
Funding This study was supported by grants from the major project of National Social Science Foundation of China (18ZDA293) and the interdisciplinary programme of Shanghai Jiao Tong University (14JCZ03).
Competing interests None declared.
Patient consent for publication Not required.
Provenance and peer review Not commissioned; externally peer reviewed.
Data availability statement No additional data are available.
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.