Say no more! Natural Language Processing for diagnosis and screening in psychiatry
|Duration||November 2020 - November 2021|
|PI||drs. Janna de Boer, MD, UMC Utrecht|
The efficacy of speech language analysis in psychiatry is widely studied, as speech is an important source of information on a person's state of health. In addition, many psychiatric disorders are characterised by (mild) language and/or speech disorders. To date, such analyses have been very labour-intensive, as all conversations are transcribed manually.
This project aims to use CLARIAH's automatic speech recognition (ASR) to analyse whether speech from patients with a psychiatric disorder can also be accurately and automatically recognised. At present, it is not yet clear whether the speech of people with a language and/or speech disorder can be recognised accurately enough to be used for clinical purposes such as diagnostics or prognosis.