The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multilevel modeling of between-speaker and within-speaker variation in spontaneous speech tempo
Abstract
Speech tempo (articulation rate) varies both between and within speakers. The present study investigates several factors affecting tempo in a corpus of spoken Dutch, consisting of interviews with 160 high-school teachers. Speech tempo was observed for each phrase separately, and analyzed by means of multilevel modeling of the speaker’s sex, age, country, and dialect region (between speakers) and length, sequential position of phrase, and autocorrelated tempo (within speakers). Results show that speech tempo in this corpus depends mainly on phrase length, due to anticipatory shortening, and on the speaker’s country, with different speaking styles in The Netherlands (faster, less varied) and in Flanders (slower, more varied). Additional analyses showed that phrase length itself is shorter in The Netherlands than in Flanders, and decreases with speaker’s age. Older speakers tend to vary their phrase length more (within speakers), perhaps due to their accumulated verbal proficiency.
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
On multi-level modeling of data from repeated measures designs: a tutorial
Quené, H., & van den Bergh, H. (2004) · Speech Communication · doi:10.1016/j.specom.2004.02.004 · Cited by 642
Self-citation
Cited by
Examples of mixed-effects modeling with crossed random effects and with binomial data
Quené, H., & van den Bergh, H. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2008.02.002 · Cited by 534
Self-citationPredicting while comprehending language: A theory and review.
Pickering, M. J., & Gambi, C. (2018) · Psychological Bulletin · doi:10.1037/bul0000158 · Cited by 518
Exploring Connections Between First and Second Language Fluency: A Mixed Methods Approach
PELTONEN, P. (2018) · The Modern Language Journal · doi:10.1111/modl.12516 · Cited by 68
Corps, R. E., Knudsen, B., & Meyer, A. S. (2022) · Cognition · doi:10.1016/j.cognition.2022.105037 · Cited by 42
Metadata
- Authors
- Quené, H.
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2008-02-01
- Volume
- 123
- Issue
- 2
- Pages
- 1104-1113
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W2055249791
- Cited by
- 161
- References
- 1
- FWCI
- 7.82
- 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: Multilevel modeling of between-speaker and within-speaker variation in spontaneous speech tempo. https://app.cochat.ai/papers/10.1121/1.2821762
- The paper
- Quené, H. (2008). Multilevel modeling of between-speaker and within-speaker variation in spontaneous speech tempo. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.2821762
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.