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Main Authors: Pan, Linrong, Jiang, Chenglong, Hou, Gaoze, Gao, Ying
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.05056
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author Pan, Linrong
Jiang, Chenglong
Hou, Gaoze
Gao, Ying
author_facet Pan, Linrong
Jiang, Chenglong
Hou, Gaoze
Gao, Ying
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_05056
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations
Pan, Linrong
Jiang, Chenglong
Hou, Gaoze
Gao, Ying
Computation and Language
Artificial Intelligence
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.
title Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2505.05056