Cargando…
Prediction and error in early infant speech learning: A speech acquisition model
In the last two decades, statistical clustering models have emerged as a dominant model of how infants learn the sounds of their language. However, recent empirical and computational evidence suggests that purely statistical clustering methods may not be sufficient to explain speech sound acquisitio...
Autores principales: | Nixon, Jessie S., Tomaschek, Fabian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173624/ https://www.ncbi.nlm.nih.gov/pubmed/33798952 http://dx.doi.org/10.1016/j.cognition.2021.104697 |
Ejemplares similares
-
Of mice and men: Speech sound acquisition as discriminative learning from prediction error, not just statistical tracking
por: Nixon, Jessie S.
Publicado: (2020) -
Understanding the Phonetic Characteristics of Speech Under Uncertainty—Implications of the Representation of Linguistic Knowledge in Learning and Processing
por: Tomaschek, Fabian, et al.
Publicado: (2022) -
Using Crowd-Sourced Speech Data to Study Socially Constrained Variation in Nonmodal Phonation
por: Gittelson, Ben, et al.
Publicado: (2021) -
Corrigendum: Using Crowd-Sourced Speech Data to Study Socially Constrained Variation in Nonmodal Phonation
por: Gittelson, Ben, et al.
Publicado: (2021) -
Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit
por: Arnold, Denis, et al.
Publicado: (2017)