Evidence map›Paper›PMID 41522290›Full record

ArticleInterspeech

An automatic, simple ultrasound biofeedback parameter for distinguishing accurate and misarticulated rhotic syllables.

Sarah R Li, Colin T Annand, Sarah Dugan, Sarah M Schwab, Kathryn J Eary, Michael Swearengen, Sarah Stack, Suzanne Boyce, Michael A Riley, T Douglas Mast

Abstract read
In one paragraph

Article in Interspeech. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Classification of accurate and misarticulated /Clinical linguistics & phonetics · 2023
    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

10 authors.

Sarah R LiBiomedical Engineering, University of Cincinnati, USA.
Colin T AnnandPsychology, University of Cincinnati, USA.
Sarah DuganPsychology, University of Cincinnati, USA.
Sarah M SchwabPsychology, University of Cincinnati, USA.
Kathryn J EaryBiomedical Engineering, University of Cincinnati, USA.
Michael SwearengenBiomedical Engineering, University of Cincinnati, USA.
Sarah StackBiomedical Engineering, University of Cincinnati, USA.
Suzanne BoyceCommunication Sciences and Disorders, University of Cincinnati, USA.
Michael A RileyPsychology, University of Cincinnati, USA.
T Douglas MastBiomedical Engineering, University of Cincinnati, 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
Simplified Ultrasound Biofeedback for Speech RemediationR01DC017301 · NIDCD · UNIVERSITY OF CINCINNATI · PI BOYCE, SUZANNE ELIZABETH, MAST, T DOUGLAS · 2018 to 2022
$2.6M
NIDCD NIH HHS R01 DC013668NIDCD NIH HHS R01 DC017301
6 · The paper itself

Abstract

Characterizing accurate vs. misarticulated patterns of tongue movement using ultrasound can be challenging in real time because of the fast, independent movement of tongue regions. The usefulness of ultrasound for biofeedback speech therapy is limited because speakers must mentally track and compare differences between their tongue movement and available models. It is desirable to automate this interpretive task using a single parameter representing deviation from known accurate tongue movements. In this study, displacements recorded automatically by ultrasound image tracking were transformed into a single biofeedback parameter (time-dependent difference between blade and dorsum displacements). Receiver operating characteristic (ROC) curve analysis was used to evaluate this parameter as a predictor of production accuracy over a range of different vowel contexts with initial and final /r/ in American English. Areas under ROC curves were 0.8 or above, indicating that this simple parameter may provide useful real-time biofeedback on /r/ accuracy within a range of rhotic contexts.

Indexed as

articulationrhoticsspeech disordersspeech productionspeech therapyultrasound imaging

Identifiers

PMID41522290
PMCPMC12781812

What OpenQuestion holds

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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.