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Daylong data: Raw audio to transcript via automated & manual open-science tools

Abstract

Several of the central questions in language, social cognition,and developmental research focus on the roles of input, out-put, and interaction on learning and communication. While ithas become easy to collect long-form recordings, getting use-ful data out of them is a more daunting task. Across four mini-sessions, this tutorial aims to address pre- and post-data collec-tion concerns, and provide a hands-on introduction to manualand automated annotation techniques. Attendees will leave thistutorial with resources and concrete experience for collecting,annotating, and sharing/archiving naturalistic recordings, in-cluding specific open-science practices relevant for these data.

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