Signal-Driven Computations in Speech Processing

By M. Peña, L. Bonatti, Marina Nespor, Jacques Mehler. Science, 2002

440 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/69dc5d738c0d5ad7c5a9b22f93c6df317551c864

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In Artificial Intelligence

In Developmental and Educational Psychology

In Signal Processing

Citations in the corpus

The Phonological Loop (2010, background): “According to Peña et al. (2002), to discover grammatical-like regularities, it is necessary to inspect (phonological) memory traces of the stimuli in order to make generalizations that go beyond the surface form of such stimuli.”
Language as shaped by the brain. (2008, background): “…subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. when two species with markedly different rates of adaptation enter a symbiotic relationship, the rapidly evolving species adapts to the slowly evolving one, but not the reverse (Frean & Abraham 2004).”
Phonology impacts segmentation in online speech processing (2005, neutral): “ Peaea, Bonatti, Nespor, and Mehler (2002) found that nonadjacent dependencies between syllables could be learned in an ALL task, and that this learning contributed to segmenting a pause-free stream of sounds into words.”
Can prosody be used to discover hierarchical structure in continuous speech (2012, methodology): “On the basis of these findings Peña et al. (2002) argued that structural generalizations can be only drawn from a segmented speech stream and that the subliminal pauses that allowed rule-generalization mimicked the cues provided by prosodic constituency (i.e. Nespor & Vogel, 1986; Selkirk, 1984;…”
Bayesian learning of visual chunks by human observers (2008, neutral): “j !Normal!vj; cyj, # yj "" yj, [10]”
The surprising power of statistical learning: When fragment knowledge leads to false memories of unheard words (2009, methodology): “In line with previous work (Endress & Bonatti, 2007; Peña et al., 2002), we can thus rule out that the pattern of results in Experiment 1a was due to excessive overlap among words.”
Learning at a distance I. Statistical learning of non-adjacent dependencies. (2004, background): “10 See footnote 2 for a discussion of the recent results of Pena et al. (2002).”