The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Signal-Driven Computations in Speech Processing
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Chomsky, N. (1957) · doi:10.1515/9783112316009 · Cited by 7,885
Statistical learning by 8-month-old infants
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996) · Science · doi:10.1126/science.274.5294.1926 · Cited by 5,659
Language Acquisition: The State of the Art
Wanner, E., & Gleitman, L. R. (2009) · Medical Entomology and Zoology · Cited by 2,022
Statistical learning of tone sequences by human infants and adults
Saffran, J. R., Johnson, E. K., Aslin, R. N., & Newport, E. L. (1999) · Cognition · doi:10.1016/s0010-0277(98)00075-4 · Cited by 1,429
Word Segmentation: The Role of Distributional Cues
Saffran, J. R., Newport, E. L., & Aslin, R. N. (1996) · Journal of Memory and Language · doi:10.1006/jmla.1996.0032 · Cited by 1,405
Rule Learning by Seven-Month-Old Infants
Marcus, G. F., Vijayan, S., Bandi Rao, S., & Vishton, P. M. (1999) · Science · doi:10.1126/science.283.5398.77 · Cited by 1,244
Visual statistical learning in infancy: evidence for a domain general learning mechanism
Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002) · Cognition · doi:10.1016/s0010-0277(02)00004-5 · Cited by 1,072
Pinker, S. (1991) · Science · doi:10.1126/science.1857983 · Cited by 1,056
Unsupervised Statistical Learning of Higher-Order Spatial Structures from Visual Scenes
Fiser, J., & Aslin, R. N. (2001) · Psychological Science · doi:10.1111/1467-9280.00392 · Cited by 805
The Algebraic Mind: Integrating Connectionism and Cognitive Science
Marcus, G. F. (2001) · Cited by 636
Research works printed but not linked: 4
- J. R. Hayes H. H. Clark in Cognition and the Development of Language J. R. Hayes Ed. (Wiley New York 1970) pp. 221–234.
- ___, J. Exp. Psychol. 28, 458 (2002).
- 10.1037/0033-295X.83.5.405 · doi:10.1037/0033-295x.83.5.405 · Paper page
- 10.1016/0749-596X(89)90039-9 · doi:10.1016/0749-596x(89)90039-9
Cited by
Early language acquisition: cracking the speech code
Kuhl, P. K. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1533 · Cited by 2,291
Cortical tracking of hierarchical linguistic structures in connected speech
Ding, N., Melloni, L., Zhang, H., Tian, X., & Poeppel, D. (2016) · Nature Neuroscience · doi:10.1038/nn.4186 · Cited by 1,059
Kuhl, P. K., Conboy, B. T., Coffey-Corina, S., Padden, D., Rivera-Gaxiola, M., & Nelson, T. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2154 · Cited by 886
Brain mechanisms in early language acquisition
Kuhl, P. K. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.038 · Cited by 798
Statistically optimal perception and learning: from behavior to neural representations
Fiser, J., Berkes, P., Orbán, G., & Lengyel, M. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.003 · Cited by 672
Metadata
- Authors
- Peña, M., Bonatti, L. L., Nespor, M., & Mehler, J.
- Venue
- Science
- Published
- 2002-10-18
- Volume
- 298
- Issue
- 5593
- Pages
- 604-607
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1981922751
- Cited by
- 451
- References
- 18
- FWCI
- 15.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Signal-Driven Computations in Speech Processing. https://app.cochat.ai/papers/10.1126/science.1072901
- The paper
- Peña, M., Bonatti, L. L., Nespor, M., & Mehler, J. (2002). Signal-Driven Computations in Speech Processing. Science. https://doi.org/10.1126/science.1072901
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
