AI meets dialect: TU Graz revolutionizes speech recognition!

AI meets dialect: TU Graz revolutionizes speech recognition!

The future of speech recognition in Austria is at stake! Scientists at the TU Graz have made groundbreaking progress in order to better understand dialects and to master the existing challenges in automatic linguistic recognition. Under the direction of Barbara Schuppler, an innovative database is being developed that takes into account the subtleties of Austrian German in order to increase the accuracy of such systems, reported TU Graz .

The research group has dealt intensively with the complexity of the conversation language and built up an extensive Grass database that records real dialogues. These recordings make it possible to analyze the difficulties caused by dialects and spontaneous language and thereby significantly improve the performance of the speech recognition systems. While conventional models had difficulties with short, fragmentary sentences, studies showed that specially adapted systems can act more robust with dialect variations, such as ORF Styria note.

innovations for voice communication

Another important project aims to help a little girl with language difficulties caused by a genetic defect. An intelligent solution is being developed here that offers support on tablets using transcriptions so that the communication barriers are broken down. Schupler emphasized that the goal is not only the improvement of commercial products, but also the application in medical areas. In this way, these systems could help analyze the language use of patients and to support them in communication.

This research could have far -reaching implications, since they not only focus on improving speech recognition, but also on new technologies that could be used in the diagnosis of diseases such as dementia or epilepsy. More precise language analyzes could offer valuable knowledge about the health of an individual. Barbara Schuppler and her team are already planning other projects that build on the basics of this research and create innovative, socially relevant applications.