The Human Speechome Project

Deb Roy, Rupal Patel, Philip DeCamp, Rony Kubat, Michael Fleischman, Brandon Roy, Nikolaos Mavridis, Stefanie Tellex, Alexia Salata, Jethran Guinness, Michael Levit, Peter Gorniak


The Human Speechome Project is an effort to observe and computationally model the longitudinal course of language development for a single child at an unprecedented scale. The idea is this: Instrument a child’s home so that nearly everything the child hears and sees from birth to three is recorded. Develop a computa- tional model of language learning that takes the child’s audio-visual experiential record as input. Evaluate the model’s performance in matching the child’s linguistic abilities as a means of assessing possible learning strategies used by children in natural contexts. First steps of a pilot effort along these lines are described including issues of privacy management and methods for overcoming limitations of fully-automated machine perception.

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