Evidence map›Paper›PMID 28703653›Full record

ArticleClinical linguistics & phonetics2018

Deriving individualised /r/ targets from the acoustics of children's non-rhotic vowels.

Heather Campbell, Tara McAllister Byun

4 registry-linked trialsAbstract read
In one paragraph

Article in Clinical linguistics & phonetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT03736213 phase1completednot on this mapstarted 2019, after this paper: background citation

Correcting Residual Errors With Spectral, Ultrasound, and Traditional Speech Therapy: Delineation of Sensorimotor Subtypes

TypeinterventionalSponsorNew York UniversityRan2019 to 2022Enrolled7ConditionsSpeech Sound DisorderArmsVisual-acoustic biofeedback, Ultrasound biofeedback
NCT03737318 nacompletednot on this mapstarted 2019, after this paper: background citation

Correcting Residual Errors With Spectral, Ultrasound, and Traditional Speech Therapy: A Randomized Controlled Trial

TypeinterventionalSponsorNew York UniversityRan2019 to 2024Enrolled108ConditionsSpeech Sound DisorderArmsBiofeedback-ultrasound, Biofeedback--visual-acoustic, Traditional articulation treatment
NCT04625062 phase1completednot on this mapstarted 2020, after this paper: background citation

Comparing Traditional and Biofeedback Treatment for Residual Speech Errors Via Telepractice

TypeinterventionalSponsorNew York UniversityRan2020 to 2021Enrolled7ConditionsSpeech Sound DisorderArmsVisual-acoustic biofeedback, Motor-based treatment
NCT06517225 phase2recruitingnot on this mapstarted 2024, after this paper: background citation

Visual-acoustic Intervention With Service Delivery In-person and Via Telepractice (VISIT) Non-Inferiority Trial

TypeinterventionalSponsorNew York UniversityRan2024 to 2028Enrolled76ConditionsSpeech Sound DisorderArmsVisual-acoustic biofeedback
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Heather Campbella NYU Steinhardt School of Culture, Education, and Human Development , New York , NY , USA.ORCID http://orcid.org/0000-0002-6072-5850
Tara McAllister Byuna NYU Steinhardt School of Culture, Education, and Human Development , New York , NY , USA.

Funding

Improving clinical speech remediation with ultrasound technologyR01DC013668 · NIDCD · CUNY GRADUATE SCH AND UNIV CTR · PI BOYCE, SUZANNE ELIZABETH, WHALEN, DOUGLAS H · 2014 to 2018
$3.4M
NIDCD NIH HHS R01 DC013668
6 · The paper itself

Abstract

In visual-acoustic biofeedback for rhotic errors, learners are guided to match the third formant (F3) location to a visual target on a real-time acoustic spectrum. As the acoustic properties of correct English /r/differ across speakers, this study aimed to improve target selection by investigating the validity of individualised targets derived from children's non-rhotic vowels. A previously proposed prediction formula was adjusted using data from a child normative sample and tested in two groups of children. Study 1 found that predicted values were unexpectedly higher than actual F3 values in children whose /r/ errors had been remediated. To understand this discrepancy, Study 2 applied the formula to typically developing children and found that predicted values were also higher than actual F3 values, suggesting that different normative data might better represent the current samples. An updated formula is proposed, which can be used to generate individualised targets within acoustic biofeedback applications.

Indexed as

Articulation DisordersBiofeedback, PsychologySpeech AcousticsChildFemaleHumansMaleSpeechSpeech Sound DisorderTongueArticulation disordersbiofeedbackinterventionresidual speech errorsspeech sound disorders

Identifiers

PMID28703653
PMCPMC6039977

What OpenQuestion holds

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Registered trials

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.