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davidilag/FPSC

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Citation text from the card

@inproceedings{iLag2026FPSC,
  author = {Dávid í Lág and Barbara Scalvini and Carlos Mena and Jón Guðnason},
  title = {{FPSC}: A Sustainable Pipeline for Building a Faroese Parliamentary Speech Corpus},
  booktitle = {Proceedings of the Language Resources and Evaluation Conference (LREC 2026)},
  year = {2026},
  address = {Palma de Mallorca, Spain},
  publisher = {European Language Resources Association (ELRA)},
  institution = {University of the Faroe Islands},
  keywords = {Faroese, Parliamentary Speech, Automatic Speech Recognition, Weakly-Supervised Transcription, Whisper, Wav2Vec2},
  abstract = {We present FPSC, a 1,600-hour Faroese parliamentary speech corpus comprising approximately 89,000 speeches enriched with detailed speaker and linguistic metadata. The corpus was constructed using a sustainable ASR-assisted pipeline combining speech segmentation, multiple Faroese-adapted ASR systems, and ROVER-based consensus voting for weakly supervised transcription. FPSC represents the first large-scale corpus of natural spoken Faroese and provides an open resource for future research in automatic speech recognition and low-resource language technology.}
}

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dataset_licence({ "id": "davidilag/FPSC" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0