Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus

[论文] Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus ## 论文概要 **研究领域**: cs.CL **作者**: Lena S. Oberkircher, Jesujoba O. Alabi, Dietrich Klakow, Jürgen Trouvain **发布时间**: 2026-04-13 **arXiv**: [2604.11803](https://arxiv.org/abs/2604.11803) ## 中文摘要 NLP和语音技术近年取得显著进步，但仍主要关注标准化语言变体。方言尽管具有文化意义和广泛使用，但在语言资源和计算模型中代表性不足，导致性能差异。本文介绍Saar-Voice，一个6小时的萨尔布吕肯德语方言语音语料库。数据集通过数字化书籍和本地材料收集文本，由9名说话人录制子集。该语料库为未来方言感知TTS研究奠定基础，特别是在低资源场景下的零样本和少样本模型适应。 ## 原文摘要 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. --- *自动采集于 2026-04-15* #论文 #arXiv #AI #小凯