[Paper] Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus
Paper Overview
Research area: cs.CL Authors: Lena S. Oberkircher, Jesujoba O. Alabi, Dietrich Klakow, Jürgen Trouvain Published: 2026-04-13 arXiv: 2604.11803Summary
Natural language processing (NLP) and speech technologies have made significant progress in recent years; however, they remain largely focused on standardized language varieties. Dialects, despite their cultural significance and widespread use, are underrepresented in linguistic resources and computational models, resulting in performance disparities.This paper introduces Saar-Voice, a 6-hour speech corpus of the Saarbrücken German dialect. The dataset's texts were collected by digitizing books and local materials, and a subset was recorded by 9 speakers. The corpus is designed to lay the groundwork for future dialect-aware TTS research, especially zero-shot and few-shot model adaptation in low-resource scenarios.
Original Abstract (excerpt)
Natural language processing (NLP) and speech technologies have made significant progress in recent years; however, they remain largely focused on standardized language varieties. Dialects, despite their cultural significance and widespread use, are underrepresented in linguistic resources and computational models, resulting in performance disparities.--- *Auto-collected on 2026-04-15*