2021 INTERSPEECH INTERSPEECH 2021

Child Language Acquisition Studied with Wearables

Abstract

In recent years, the ease with which we can collect audio (and to a lesser extent visual information) with wearables has improved dramatically. These allow unprecedented access to the speech that children produce, and that which they year. Although many conclusions drawn from short observations seem to generalize to these naturalistic datasets, others appear questionable based on human annotations of data collected with wearables. Making the best of such recordings also requires unique tool development.

🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio