Evidence map›Paper›PMID 35874163›Full record

ArticleFrontiers in human neuroscience2022

Inter-Trial Formant Variability in Speech Production Is Actively Controlled but Does Not Affect Subsequent Adaptation to a Predictable Formant Perturbation.

Hantao Wang, Ludo Max

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Neurophysiological Evidence of Sensory Prediction Errors Driving Speech Sensorimotor Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  2. Article
  3. Article
  4. Perceptual formant discrimination during speech movement planning.bioRxiv : the preprint server for biology · 2023
    Article
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Hantao WangDepartment of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States.
Ludo MaxDepartment of Speech and Hearing Sciences, University of Washington, Seattle, WA, United States.
University of Washington · US

Funding

Dynamic bidirectional sensorimotor interactions in stutteringR01DC017444 · NIDCD · UNIVERSITY OF WASHINGTON · PI MAX, LUDO · 2019 to 2023
$1.6M
Adaptive sensorimotor learning in speech productionR01DC014510 · NIDCD · UNIVERSITY OF WASHINGTON · PI MAX, LUDO · 2015 to 2019
$1.5M
NIDCD NIH HHS R01 DC014510NIDCD NIH HHS R01 DC017444
6 · The paper itself

Abstract

Despite ample evidence that speech production is associated with extensive trial-to-trial variability, it remains unclear whether this variability represents merely unwanted system noise or an actively regulated mechanism that is fundamental for maintaining and adapting accurate speech movements. Recent work on upper limb movements suggest that inter-trial variability may be not only actively regulated based on sensory feedback, but also provide a type of workspace exploration that facilitates sensorimotor learning. We therefore investigated whether experimentally reducing or magnifying inter-trial formant variability in the real-time auditory feedback during speech production (a) leads to adjustments in formant production variability that compensate for the manipulation, (b) changes the temporal structure of formant adjustments across productions, and (c) enhances learning in a subsequent adaptation task in which a predictable formant-shift perturbation is applied to the feedback signal. Results show that subjects gradually increased formant variability in their productions when hearing auditory feedback with reduced variability, but subsequent formant-shift adaptation was not affected by either reducing or magnifying the perceived variability. Thus, findings provide evidence for speakers' active control of inter-trial formant variability based on auditory feedback from previous trials, but-at least for the current short-term experimental manipulation of feedback variability-not for a role of this variability regulation mechanism in subsequent auditory-motor learning.

Indexed as

acousticsadaptationarticulationauditory feedbackspeech motor controlvariability

Identifiers

PMID35874163
PMCPMC9300893
OpenAlexW4284663920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.