Signal-driven computations in speech processing. Peña, M., Bonatti, L. L, Nespor, M., & Mehler, J. Science, 298(5593):604-7, 2002. doi abstract bibtex Learning a language requires both statistical computations to identify words in speech and algebraic-like computations to discover higher level (grammatical) structure. Here we show that these computations can be influenced by subtle cues in the speech signal. After a short familiarization to a continuous speech stream, adult listeners are able to segment it using powerful statistics, but they fail to extract the structural regularities included in the stream even when the familiarization is greatly extended. With the introduction of subliminal segmentation cues, however, these regularities can be rapidly captured.
@Article{Pena2002,
author = {Pe{\~n}a, Marcela and Bonatti, Luca L and Nespor, Marina and Mehler, Jacques},
journal = {Science},
title = {Signal-driven computations in speech processing.},
year = {2002},
number = {5593},
pages = {604-7},
volume = {298},
abstract = {Learning a language requires both statistical computations to identify
words in speech and algebraic-like computations to discover higher
level (grammatical) structure. Here we show that these computations
can be influenced by subtle cues in the speech signal. After a short
familiarization to a continuous speech stream, adult listeners are
able to segment it using powerful statistics, but they fail to extract
the structural regularities included in the stream even when the
familiarization is greatly extended. With the introduction of subliminal
segmentation cues, however, these regularities can be rapidly captured.},
doi = {10.1126/science.1072901},
keywords = {Adult, Cues, France, Human, Language, Learning, Linguistics, Phonetics, Probability, Speech Perception, Statistics, Support, Non-U.S. Gov't, Vocabulary, 12386323},
}
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