Evidence map›Paper›PMID 29357357›Full record

ArticlePLoS computational biology2018

What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework.

Jean-François Patri, Pascal Perrier, Jean-Luc Schwartz, Julien Diard

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

  1. Active inference and speech motor control.Psychonomic bulletin & review · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Perturbing the consistency of auditory feedback in speech.Frontiers in human neuroscience · 2022
    Article
  8. Article
  9. Speakers are able to categorize vowels based on tongue somatosensation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Jean-François PatriUniv. Grenoble Alpes, CNRS, GIPSA-Lab UMR 5216, F-38000 Grenoble, France.ORCID 0000-0003-1838-9512
Pascal PerrierUniv. Grenoble Alpes, CNRS, GIPSA-Lab UMR 5216, F-38000 Grenoble, France.
Jean-Luc SchwartzUniv. Grenoble Alpes, CNRS, GIPSA-Lab UMR 5216, F-38000 Grenoble, France.
Julien DiardUniv. Grenoble Alpes, CNRS, LPNC UMR 5105, F-38000 Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shifts in perceptual boundaries resulting from speech motor learning induced by perturbations of the auditory feedback were taken as evidence for the involvement of motor functions in auditory speech perception. Beyond this general statement, the precise mechanisms underlying this involvement are not yet fully understood. In this paper we propose a quantitative evaluation of some hypotheses concerning the motor and auditory updates that could result from motor learning, in the context of various assumptions about the roles of the auditory and somatosensory pathways in speech perception. This analysis was made possible thanks to the use of a Bayesian model that implements these hypotheses by expressing the relationships between speech production and speech perception in a joint probability distribution. The evaluation focuses on how the hypotheses can (1) predict the location of perceptual boundary shifts once the perturbation has been removed, (2) account for the magnitude of the compensation in presence of the perturbation, and (3) describe the correlation between these two behavioral characteristics. Experimental findings about changes in speech perception following adaptation to auditory feedback perturbations serve as reference. Simulations suggest that they are compatible with a framework in which motor adaptation updates both the auditory-motor internal model and the auditory characterization of the perturbed phoneme, and where perception involves both auditory and somatosensory pathways.

Indexed as

Bayes TheoremSpeechAcoustic StimulationAuditory PerceptionComputational BiologyComputer SimulationFeedback, SensoryHearingHumansModels, BiologicalModels, StatisticalMotor SkillsNormal DistributionSpeech AcousticsSpeech Perception

Identifiers

PMID29357357
PMCPMC5794199

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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.