The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Integration of Multiple Speech Segmentation Cues: A Hierarchical Framework.
Open accessAbstract
A central question in psycholinguistic research is how listeners isolate words from connected speech despite the paucity of clear word-boundary cues in the signal. A large body of empirical evidence indicates that word segmentation is promoted by both lexical (knowledge-derived) and sublexical (signal-derived) cues. However, an account of how these cues operate in combination or in conflict is lacking. The present study fills this gap by assessing speech segmentation when cues are systematically pitted against each other. The results demonstrate that listeners do not assign the same power to all segmentation cues; rather, cues are hierarchically integrated, with descending weights allocated to lexical, segmental, and prosodic cues. Lower level cues drive segmentation when the interpretive conditions are altered by a lack of contextual and lexical information or by white noise. Taken together, the results call for an integrated, hierarchical, and signal-contingent approach to speech segmentation.
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
Auditory Scene Analysis: The Perceptual Organization of Sound
Bregman, A. S., & McAdams, S. (1994) · The Journal of the Acoustical Society of America · doi:10.1121/1.408434 · Cited by 3,029
The TRACE model of speech perception
McClelland, J. L., & Elman, J. L. (1986) · Cognitive Psychology · doi:10.1016/0010-0285(86)90015-0 · Cited by 2,956
(1999) · Cited by 2,243
Recognizing Spoken Words: The Neighborhood Activation Model
Luce, P. A., & Pisoni, D. B. (1998) · Ear and Hearing · doi:10.1097/00003446-199802000-00001 · Cited by 1,939
Metrical Stress Theory: Principles and Case Studies
Hayes, B. (1995) · Cited by 1,919
On the generality of the laws of learning.
Seligman, M. E. (1970) · Psychological Review · doi:10.1037/h0029790 · Cited by 1,744
Attention and performance X : control of language processes
Bouma, H., & Bouwhuis, D. G. (1984) · TU/e Research Portal · Cited by 1,405
Shortlist: a connectionist model of continuous speech recognition
Norris, D. (1994) · Cognition · doi:10.1016/0010-0277(94)90043-4 · Cited by 1,250
Kalikow, D. N., Stevens, K. N., & Elliott, L. L. (1977) · The Journal of the Acoustical Society of America · doi:10.1121/1.381436 · Cited by 1,090
Prosody in the Comprehension of Spoken Language: A Literature Review
Cutler, A., Dahan, D., & van Donselaar, W. (1997) · Language and Speech · doi:10.1177/002383099704000203 · Cited by 1,066
Cited by
Speech recognition in adverse conditions: A review.
Mattys, S. L., Davis, M. H., Bradlow, A. R., & Scott, S. K. (2012) · Language and Cognitive Processes · doi:10.1080/01690965.2012.705006 · Cited by 809
Self-citationWhy would Musical Training Benefit the Neural Encoding of Speech? The OPERA Hypothesis
Patel, A. D. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00142 · Cited by 703
Shortlist B: A Bayesian model of continuous speech recognition.
Norris, D., & McQueen, J. M. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.357 · Cited by 686
Hearing speech sounds: Top-down influences on the interface between audition and speech perception
Davis, M. H., & Johnsrude, I. S. (2007) · Hearing Research · doi:10.1016/j.heares.2007.01.014 · Cited by 458
Morphological decomposition based on the analysis of orthography
Rastle, K., & Davis, M. H. (2008) · Language and Cognitive Processes · doi:10.1080/01690960802069730 · Cited by 384
Metadata
- Authors
- Mattys, S. L., White, L., & Melhorn, J. F.
- Venue
- Journal of Experimental Psychology: General
- Published
- 2005
- Volume
- 134
- Issue
- 4
- Pages
- 477-500
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- OpenAlex
- W2012754613
- Cited by
- 385
- References
- 81
- FWCI
- 10.41
- Type
- journal article
- Language
- en
- Open access
- green
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: Integration of Multiple Speech Segmentation Cues: A Hierarchical Framework. https://app.cochat.ai/papers/10.1037/0096-3445.134.4.477
- The paper
- Mattys, S. L., White, L., & Melhorn, J. F. (2005). Integration of Multiple Speech Segmentation Cues: A Hierarchical Framework. Journal of Experimental Psychology: General. https://doi.org/10.1037/0096-3445.134.4.477
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.
