@inproceedings{luhtaru-etal-2023-automatic,
    title = "Automatic Transcription for {E}stonian Children{'}s Speech",
    author = {Luhtaru, Agnes  and
      Jaaska, Rauno  and
      Kruusam{\"a}e, Karl  and
      Fishel, Mark},
    editor = {Alum{\"a}e, Tanel  and
      Fishel, Mark},
    booktitle = "Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)",
    month = may,
    year = "2023",
    address = "T{\'o}rshavn, Faroe Islands",
    publisher = "University of Tartu Library",
    url = "https://preview.aclanthology.org/fix-sig-urls/2023.nodalida-1.70/",
    pages = "705--709",
    abstract = "We evaluate the impact of recent improvements in Automatic Speech Recognition (ASR) on transcribing Estonian children{'}s speech. Our research focuses on fine-tuning large ASR models with a 10-hour Estonian children{'}s speech dataset to create accurate transcriptions. Our results show that large pre-trained models hold great potential when fine-tuned first with a more substantial Estonian adult speech corpus and then further trained with children{'}s speech."
}