Evidence map›Paper›PMID 26635571›Full record

ArticleFrontiers in human neuroscience2015

Visual Feedback of Tongue Movement for Novel Speech Sound Learning.

William F Katz, Sonya Mehta

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02705326 (Evaluating the Efficacy of Opti-Speech, a 3D Visual Feedback System, for Speech Treatment), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.2field-weighted citation impact, top 4% 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.

NCT02705326 nacompletednot on this mapstarted 2016, after this paper: background citation

Evaluating the Efficacy of Opti-Speech, a 3D Visual Feedback System, for Speech Treatment

TypeinterventionalSponsorVulintus, Inc.Ran2016 to 2018Enrolled37ConditionsArticulation Disorder, Dysarthria, Prelingual DeafnessArmsOpti-Speech
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Statistical evaluation of tongue capability with visual feedback.Journal of neuroengineering and rehabilitation · 2024
    Article
  3. MagTrack: A Wearable Tongue Motion Tracking System for Silent Speech Interfaces.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  4. Article
  5. Does Voicing Affect Patterns of Transfer in Nonnative Cluster Learning?Journal of speech, language, and hearing research : JSLHR · 2021
    Article
  6. Article
  7. Article
  8. A Noninvasive Brain-Computer Interface for Real-Time Speech Synthesis: The Importance of Multimodal Feedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2018
    Article
  9. Article
  10. Article
  11. Multimodal Speech Capture System for Speech Rehabilitation and Learning.IEEE transactions on bio-medical engineering · 2017
    Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

William F KatzSpeech Production Lab, Callier Center for Communication Disorders, School of Behavioral and Brain Sciences, The University of Texas at Dallas Dallas, TX, USA.
Sonya MehtaSpeech Production Lab, Callier Center for Communication Disorders, School of Behavioral and Brain Sciences, The University of Texas at Dallas Dallas, TX, USA.
The University of Texas at Dallas · US

Funding

Opti-Speech: A 3D Visual Feedback System for Speech Therapy.R44DC013467 · NIDCD · VULINTUS, LLC · PI CAREY, HOLLE · 2015 to 2016
$1.5M
Development of a software package for speech therapy.R43DC013467 · NIDCD · VULINTUS, LLC · PI SLOAN, ANDREW MICHAEL · 2014 to 2014
$210k
NIDCD NIH HHS R43 DC013467NIDCD NIH HHS R44 DC013467
6 · The paper itself

Abstract

Pronunciation training studies have yielded important information concerning the processing of audiovisual (AV) information. Second language (L2) learners show increased reliance on bottom-up, multimodal input for speech perception (compared to monolingual individuals). However, little is known about the role of viewing one's own speech articulation processes during speech training. The current study investigated whether real-time, visual feedback for tongue movement can improve a speaker's learning of non-native speech sounds. An interactive 3D tongue visualization system based on electromagnetic articulography (EMA) was used in a speech training experiment. Native speakers of American English produced a novel speech sound (/ɖ/; a voiced, coronal, palatal stop) before, during, and after trials in which they viewed their own speech movements using the 3D model. Talkers' productions were evaluated using kinematic (tongue-tip spatial positioning) and acoustic (burst spectra) measures. The results indicated a rapid gain in accuracy associated with visual feedback training. The findings are discussed with respect to neural models for multimodal speech processing.

Indexed as

articulation therapyaudiovisual integrationelectromagnetic articulographysecond language learningspeech productionvisual feedback

Identifiers

PMID26635571
PMCPMC4652268
OpenAlexW2209125582

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.