The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A Statistical Basis for Speech Sound Discrimination
Abstract
Infants under six months are able to discriminate native and non-native consonant contrasts equally well, but as they learn the phonological systems of their native language, this ability declines. Current explanations of this phenome non agree that the decline indiscrimination ability is linked to the formation of native-language phonemic categories. The goal of this study was to evaluate the role of input statistics in learning these categories: our hypothesis was that relative frequency is a determinant of the relative order in which categories are acquired. English-learning infants of two age groups (6.5 months and 8.5 months) were tested on their ability to discriminate non-native consonant contrasts using the Conditioned Head Turn Procedure. As predicted, older infants were worse in their performance on the more frequent coronal stop contrast than on the less frequent dorsal stop contrast. In contrast, 6.5-month-olds discriminated both contrasts equally well. An adult control group tested with an AX task also discriminated both contrast sequally. These results provide preliminary confirmation of the hypothesis that frequency plays an important role in tuning of phonological systems to properties of the native language. A simple attractor model suffices to account for these and previous results on loss of discrimination of non-native-language contrasts and suggests that the technique of measuring graded loss of multiple contrasts, in combination with observation of inputfrequencies, can offer a powerful methodof assessing infants' phonological representations.
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
Control Methods Used in a Study of the Vowels
Peterson, G. E., & Barney, H. L. (1952) · The Journal of the Acoustical Society of America · doi:10.1121/1.1906875 · Cited by 2,837
Werker, J. F., & Tees, R. C. (1984) · Infant Behavior and Development · doi:10.1016/s0163-6383(84)80022-3 · Cited by 2,801
Kuhl, P. K. (1991) · Perception & Psychophysics · doi:10.3758/bf03212211 · Cited by 1,331
Training Japanese listeners to identify English /r/ and /l/: A first report
Logan, J. S., Lively, S. E., & Pisoni, D. B. (1991) · The Journal of the Acoustical Society of America · doi:10.1121/1.1894649 · Cited by 913
Incidental Language Learning: Listening (and Learning) Out of the Corner of Your Ear
Saffran, J. R., Newport, E. L., Aslin, R. N., Tunick, R. A., & Barrueco, S. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00690.x · Cited by 675
Lesioning an attractor network: Investigations of acquired dyslexia.
Hinton, G. E., & Shallice, T. (1991) · Psychological Review · doi:10.1037//0033-295x.98.1.74 · Cited by 655
Developmental Aspects of Cross-Language Speech Perception
Werker, J. F., Gilbert, J. H. V., Humphrey, K., & Tees, R. C. (1981) · Child Development · doi:10.2307/1129249 · Cited by 553
Cross-language evidence for three factors in speech perception
Werker, J. F., & Logan, J. S. (1985) · Perception & Psychophysics · doi:10.3758/bf03207136 · Cited by 376
Cited by
Resonance in an exemplar-based lexicon: The emergence of social identity and phonology
Johnson, K. (2006) · Journal of Phonetics · doi:10.1016/j.wocn.2005.08.004 · Cited by 490
PRIMIR: a developmental framework of infant speech processing
Werker, J. F., & Curtin, S. (2005) · Language Learning and Development · doi:10.1080/15475441.2005.9684216 · Cited by 484
The Revised Speech Learning Model (SLM-r)
Flege, J. E., & Bohn, O.-S. (2021) · Second Language Speech Learning · doi:10.1017/9781108886901.002 · Cited by 429
How does the bilingual experience sculpt the brain?
Costa, A., & Sebastián-Gallés, N. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3709 · Cited by 377
The development of phonetic representation in bilingual and monolingual infants.
BURNS, T. C., YOSHIDA, K. A., HILL, K., & WERKER, J. F. (2007) · Applied Psycholinguistics · doi:10.1017/s0142716407070257 · Cited by 310
Metadata
- Authors
- Anderson, J. L., Morgan, J. L., & White, K. S.
- Venue
- Language and Speech
- Publisher
- SAGE Publications
- Published
- 2003-06
- Volume
- 46
- Issue
- 2-3
- Pages
- 155-182
- ISSN
- 0023-8309 (ISSN-L)
- 1756-6053
- OpenAlex
- W2138621768
- Cited by
- 183
- References
- 8
- FWCI
- 8.80
- 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: A Statistical Basis for Speech Sound Discrimination. https://app.cochat.ai/papers/10.1177/00238309030460020601
- The paper
- Anderson, J. L., Morgan, J. L., & White, K. S. (2003). A Statistical Basis for Speech Sound Discrimination. Language and Speech. https://doi.org/10.1177/00238309030460020601
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.