The Oldenburg Speech and Voice Test (OSST for short) is a tool used in the screening of voice and speech disorders. It is intended to support logopaedic training after hearing disorders or after provision with a hearing device.
In order to provide a service for the automatic analysis of speech and voice disorders for research as well as logopaedic and speech therapy care, algorithms of automatic speech recognition and analysis and machine learning were combined in the SVAT (Speech & Voice Analysis Technologies as a Service) project of the Hearing, Speech and Audio Technology HSA section of the Institute. The OSST project is technologically based on analysis functions of the SVAT service and extends them with specific modules.
Evaluation modules for voice function, prosody and pronunciation are intended to provide patients in adulthood, therapists and physicians with objective feedback for screenings before and after provision with a hearing aid as well as in the course of logopaedic care.
Due to the efficient and automated feasibility of the OSST as an online tool or app, a large screening frequency or group of people can be reached with little effort. The tool can thus accompany patients throughout the entire rehabilitation and therapy process, identify speech therapy needs and objectively present the course of therapy and care results.
The goal is to establish OSST as a standard in the identification of speech and voice disorders.