In the "Aaladin" project, an emergency call system is being developed that is able to detect critical situations using acoustic event recognition and to automatically trigger an emergency call. A further goal is to link acoustic recognition technology to existing documentation and invoicing software in order to reduce the effort required for care documentation through voice input, thereby lessening the workload of care staff. Professional care workers as well as patients and their relatives were integrated in the development process in order to ensure the acceptance of the new emergency call and documentation system. The goal of the project is to develop inexpensive technology that can be easily integrated into existing home emergency call systems.

Responsibilities of Fraunhofer IDMT in Oldenburg

In the project, the Oldenburg Branch for Hearing, Speech and Audio Technology HSA is responsible for developing robust acoustic detection and classification systems that are able to reliably work in varying acoustic conditions by self-calibration processes. In addition, the Oldenburg Branch is investigating new combinations of keyword spotting and speech recognition systems with a large vocabulary. Various single and multi-microphone configurations are being examined for signal acquisition.

The project Aaladin is funded by the German Federal Ministry of Education and Research.

Speech Recognition for Products and Processes

The speech recognition technology of the Fraunhofer IDMT in Oldenburg functions robustly - with and without an internet connection.