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For over a decade, TV series have been drawing increasing interest, both fromthe audience and from various academic fields. But while most viewers arehooked on the continuous plots of TV serials, the few annotated datasetsavailable to researchers focus on standalone episodes of classical TV series.We aim at filling this gap by providing the multimedia/speech processingcommunities with Serial Speakers, an annotated dataset of 161 episodes fromthree popular American TV serials: Breaking Bad, Game of Thrones and House ofCards. Serial Speakers is suitable both for investigating multimedia retrievalin realistic use case scenarios, and for addressing lower level speech relatedtasks in especially challenging conditions. We publicly release annotations forevery speech turn (boundaries, speaker) and scene boundary, along withannotations for shot boundaries, recurring shots, and interacting speakers in asubset of episodes. Because of copyright restrictions, the textual content ofthe speech turns is encrypted in the public version of the dataset, but weprovide the users with a simple online tool to recover the plain text fromtheir own subtitle files.

Serial Speakers: a Dataset of TV Series