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Self-Supervised Speech Representations Track Spoken Language Convergence to Adult Models in Infants and Children Who Are Deaf/Hard-of-Hearing

arXiv cs.CL · 2026-08-24 Cached

This paper proposes using self-supervised speech representations from HuBERT to track the convergence of children's speech to adult patterns in deaf and hard-of-hearing infants, demonstrating a scalable, language-neutral assessment method for language development.

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