This paper reports the construction of the Teochew-Wild, a speech corpus of the Teochew dialect. The corpus includes 18.9 hours of in-the-wild Teochew speech data from multiple speakers, covering both formal and colloquial expressions, with precise orthographic and pinyin annotations. Additionally, we provide supplementary text processing tools and resources to propel research and applications in speech tasks for this low-resource language, such as automatic speech recognition (ASR) and text-to-speech (TTS). To the best of our knowledge, this is the first publicly available Teochew dataset with accurate orthographic annotations. We conduct experiments on the corpus, and the results validate its effectiveness in ASR and TTS tasks.
View on arXiv@article{pan2025_2505.05056,
title={ Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations },
author={ Linrong Pan and Chenglong Jiang and Gaoze Hou and Ying Gao },
journal={arXiv preprint arXiv:2505.05056},
year={ 2025 }
}