@inproceedings{gonzales-etal-2024-bk3at,
    title = "{BK}3{AT}: Bangsamoro K-3 Children{'}s Speech Corpus for Developing Assessment Tools in the Bangsamoro Languages",
    author = "Gonzales, Kiel D.  and
      Maranan, Jazzmin R.  and
      Santelices, Francis Paolo D.  and
      Renovalles, Edsel Jedd M.  and
      Macale, Nissan D.  and
      Palafox, Nicole Anne A.  and
      Mendoza, Jose Marie A.",
    editor = "Melero, Maite  and
      Sakti, Sakriani  and
      Soria, Claudia",
    booktitle = "Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.sigul-1.8",
    pages = "59--65",
    abstract = "Bangsamoro languages are among the under-resourced languages in the Mindanao region in the Philippines. Moreover, there is no currently publicly available data for children{'}s speech on most of these languages. BK3AT children{'}s speech corpus is a corpus designed for creating speech technologies that could help facilitators and teachers in K-3 education. The corpus consists of 122 hours of children speech data across 10 languages: Bahasa Sug, Chavacano, English, Filipino, Iranun, Maguindanaon, Meranaw, Sinama, Teduray, and Yakan. Preliminary experiments using Wav2Vec-XLSR architecture have been done in fine-tuning the Tagalog and L2 English corpus subsets to develop automatic speech recognition backend for literacy assessment. Results from the experiments show low word error rates (WERs) for small-vocabulary and targeted domains.",
}

Bangsamoro languages are among the under-resourced languages in the Mindanao region in the Philippines. Moreover, there is no currently publicly available data for children{'}s speech on most of these languages. BK3AT children{'}s speech corpus is a corpus designed for creating speech technologies that could help facilitators and teachers in K-3 education. The corpus consists of 122 hours of children speech data across 10 languages: Bahasa Sug, Chavacano, English, Filipino, Iranun, Maguindanaon, Meranaw, Sinama, Teduray, and Yakan. Preliminary experiments using Wav2Vec-XLSR architecture have been done in fine-tuning the Tagalog and L2 English corpus subsets to develop automatic speech recognition backend for literacy assessment. Results from the experiments show low word error rates (WERs) for small-vocabulary and targeted domains.
Gonzales, Kiel D. Maranan, Jazzmin R. Santelices, Francis Paolo D. Renovalles, Edsel Jedd M. Macale, Nissan D. Palafox, Nicole Anne A. Mendoza, Jose Marie A.
BK3AT: Bangsamoro K-3 Children's Speech Corpus for Developing Assessment Tools in the Bangsamoro Languages