Home | News

02.09.2026

Teaser image to Barbara Plank Featured in Tagesschau on AI and Bavarian Dialects

Barbara Plank Featured in Tagesschau on AI and Bavarian Dialects

Teaching AI to Understand Regional Languages

MCML PI Barbara Plank is featured in a recent Tagesschau report on the challenges artificial intelligence faces when processing Bavarian dialects. The report highlights a research project collecting dialect recordings to help improve speech recognition and make AI more accessible to regional language communities.

Plank explains that most AI systems are trained primarily on standard German, while dialects can differ significantly in vocabulary, grammar, and pronunciation—even between neighboring regions. Better dialect recognition could benefit everyday applications such as navigation and voice assistants, as well as more critical settings including communication with doctors and healthcare professionals.

#media #research #plank

Related

Link to Center for Digital Medicine and Health expands

16.09.2026

Center for Digital Medicine and Health Expands

TUM's Center for Digital Medicine and Health hits a construction milestone, advancing AI and medicine research.

Read more
Link to Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI

16.09.2026

Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI

MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.

Read more
Link to Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

14.09.2026

Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

MCML PI Björn Eskofier explains why real-world data is key to using AI for personalized treatment and more empowered healthcare.

Read more
Tiny logo
Link to MCML at ECCV 2026

07.09.2026

MCML at ECCV 2026

MCML researchers are represented with 28 papers at ECCV 2026.

Read more
Tiny logo
Link to MCML at ECML-PKDD 2026

04.09.2026

MCML at ECML-PKDD 2026

MCML researchers are represented with 6 papers at ECML-PKDD 2026.

Read more
Back to Top