Evidence map›Paper›PMID 27994544›Full record

ArticleFrontiers in human neuroscience2016

Seeking Temporal Predictability in Speech: Comparing Statistical Approaches on 18 World Languages.

Yannick Jadoul, Andrea Ravignani, Bill Thompson, Piera Filippi, Bart de Boer

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. A universal of speech timing: Intonation units form low-frequency rhythms.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
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  7. Dynamics of Functional Networks for Syllable and Word-Level Processing.Neurobiology of language (Cambridge, Mass.) · 2023
    Article
  8. Review
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  10. Rhythm in speech and animal vocalizations: a cross-species perspective.Annals of the New York Academy of Sciences · 2019
    Review
  11. Article
  12. Article
  13. Article
  14. Modelling Animal Interactive Rhythms in Communication.Evolutionary bioinformatics online · 2019
    Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yannick JadoulArtificial Intelligence Lab, Vrije Universiteit Brussel Brussels, Belgium.
Andrea RavignaniArtificial Intelligence Lab, Vrije Universiteit Brussel Brussels, Belgium.
Bill ThompsonArtificial Intelligence Lab, Vrije Universiteit Brussel Brussels, Belgium.
Piera FilippiArtificial Intelligence Lab, Vrije Universiteit Brussel Brussels, Belgium.
Bart de BoerArtificial Intelligence Lab, Vrije Universiteit Brussel Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporal regularities in speech, such as interdependencies in the timing of speech events, are thought to scaffold early acquisition of the building blocks in speech. By providing on-line clues to the location and duration of upcoming syllables, temporal structure may aid segmentation and clustering of continuous speech into separable units. This hypothesis tacitly assumes that learners exploit

Indexed as

autoregressive modelsBayesiannPVIrhythmspeech perceptiontemporal structuretime seriestiming

Identifiers

PMID27994544
PMCPMC5133256

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.