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SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant’s Perspective
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SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant’s Perspective
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Journal Article
SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant’s Perspective
2021
Overview
We introduce a new resource: the SAYCam corpus. Infants aged 6–32 months wore a head-mounted camera for approximately 2 hr per week, over the course of approximately two-and-a-half years. The result is a large, naturalistic, longitudinal dataset of infant- and child-perspective videos. Over 200,000 words of naturalistic speech have already been transcribed. Similarly, the dataset is searchable using a number of criteria (e.g., age of participant, location, setting, objects present). The resulting dataset will be of broad use to psychologists, linguists, and computer scientists.
Publisher
MIT Press,MIT Press Journals, The,The MIT Press
Subject
