@inproceedings{liao-etal-2025-taiwanese,
    title = "{T}aiwanese {H}akka Across {T}aiwan Corpus and {F}ormosa Speech Recognition Challenge 2025 {--} Dapu {\&} Zhao{'}an Accents",
    author = "Liao, Yuan-Fu  and
      Kuo, Chih-Chung  and
      Huang, Chao-Shih  and
      Lan, Yu-Siang  and
      Lai, Han-Chun  and
      Hsu, Wen-Han",
    editor = "Chang, Kai-Wei  and
      Lu, Ke-Han  and
      Yang, Chih-Kai  and
      Tam, Zhi-Rui  and
      Chang, Wen-Yu  and
      Wang, Chung-Che",
    booktitle = "Proceedings of the 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025)",
    month = nov,
    year = "2025",
    address = "National Taiwan University, Taipei City, Taiwan",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/dashboard/2025.rocling-main.48/",
    pages = "427--434",
    ISBN = "979-8-89176-379-1",
    abstract = "To revive the endangered Hakka language in Taiwan, the first large-scale Hakka speech corpus covering all aspects of Taiwanese Hakka across Taiwan (HAT) was created. This paper introduces the second part of the HAT corpus: the Dapu and Zhao{'}an accents. Furthermore, to promote this newly constructed corpus and evaluate the performance of the most advanced Hakka ASR system, the 2025 Formosa Speech Recognition Challenge, FSR-2025{--}Hakka ASR II, was held. Sixteen teams participated on two tracks: speech-to-Hakka-Hanzi and speech-to Hakka-Pinyin. The best results were: Hanzi character error rate (CER) 7.50{\%}; Pinyin syllable error rate (SER) 14.81{\%}."
}