Evidence map›Paper›PMID 34043445›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2021

A Computational Model for Estimating the Speech Motor System's Sensitivity to Auditory Prediction Errors.

Ayoub Daliri

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Working Memory Modulates Auditory Perceptual Sensitivity During Speech Planning.Journal of speech, language, and hearing research : JSLHR · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. DIVA Meets EEG: Model Validation Using Formant-Shift Reflex.Applied sciences (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Article
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  14. 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

1 author.

Ayoub DaliriCollege of Health Solutions, Arizona State University, Tempe.

Funding

Improving speech motor learning processes using augmented behavioral interventionsR01DC019905 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Ayoub Daliri · 2022 to 2026
$1.8M
Neural processes of speech planningR21DC017563 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI DALIRI, AYOUB · 2019 to 2021
$491k
NIDCD NIH HHS R01 DC019905NIDCD NIH HHS R21 DC017563
6 · The paper itself

Abstract

Purpose The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems have similar error sensitivity. Method Participants (

Indexed as

SpeechSpeech PerceptionAdaptation, PhysiologicalFeedback, SensoryFemaleHumansSound

Identifiers

PMID34043445
PMCPMC8740760

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.