Computational modeling of early language learning from acoustic speech and audiovisual input without linguistic priors
Learning to understand speech appears almost effortless for typically developing infants, yet from an information-processing perspective, acquiring a language from acoustic speech is an enormous challenge. This chapter reviews recent developments in using computational models to understand early language acquisition from speech and audiovisual input. The focus is on self-supervised and visually grounded models of perceptual learning. We show how these models are becoming increasingly powerful in learning various aspects of speech without strong linguistic priors, and how many features of early language development can be explained through a shared set of learning principles-principles bro...
| Authors | Okko Räsänen |
|---|---|
| Primary category | cs.CL |
| Published | 9 March 2026 |
| Last updated at source | 11 March 2026 |
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