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Serial Speakers: a Dataset of TV Series

Xavier Bost,Vincent Labatut,Georges Linarès

Published 2020 in International Conference on Language Resources and Evaluation

ABSTRACT

For over a decade, TV series have been drawing increasing interest, both from the audience and from various academic fields. But while most viewers are hooked on the continuous plots of TV serials, the few annotated datasets available to researchers focus on standalone episodes of classical TV series. We aim at filling this gap by providing the multimedia/speech processing communities with “Serial Speakers”, an annotated dataset of 155 episodes from three popular American TV serials: “Breaking Bad”, “Game of Thrones” and “House of Cards”. “Serial Speakers” is suitable both for investigating multimedia retrieval in realistic use case scenarios, and for addressing lower level speech related tasks in especially challenging conditions. We publicly release annotations for every speech turn (boundaries, speaker) and scene boundary, along with annotations for shot boundaries, recurring shots, and interacting speakers in a subset of episodes. Because of copyright restrictions, the textual content of the speech turns is encrypted in the public version of the dataset, but we provide the users with a simple online tool to recover the plain text from their own subtitle files.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    International Conference on Language Resources and Evaluation

  • Publication date

    2020-02-17

  • Fields of study

    Computer Science

  • Identifiers
    arXiv 2002.06923
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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