Swiss German

Swiss German, a collection of diverse spoken dialects lacking a standardized written form, presents significant challenges for natural language processing. Current research focuses on developing robust machine learning models, including multilingual encoders and transformer-based architectures like Whisper, to address tasks such as speech-to-text transcription, speech translation (often to Standard German), and text-to-speech synthesis. These efforts are driven by the need for improved language technologies for a significant population and contribute to broader advancements in low-resource language processing and dialectal modeling. Large, publicly available corpora of Swiss German speech and text are crucial to this progress, enabling the development and evaluation of increasingly accurate and nuanced models.