Evidence map›Paper›PMID 25587667›Full record

ArticleEar and hearing

Automated Vocal Analysis of Children With Hearing Loss and Their Typical and Atypical Peers.

Mark VanDam, D Kimbrough Oller, Sophie E Ambrose, Sharmistha Gray, Jeffrey A Richards, Dongxin Xu, Jill Gilkerson, Noah H Silbert, Mary Pat Moeller

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ear and hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03838016 (Babble Boot Camp), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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.

NCT03838016 early_phase1completednot on this map

Babble Boot Camp: Preventing Speech and Language Disorders in Children With Classic Galactosemia

TypeinterventionalSponsorArizona State UniversityRan2019 to 2025Enrolled285ConditionsClassic Galactosemia, Speech Disorders in Children, Language Disorders in ChildrenArmsBabble Boot Camp
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Automated Language Environment Analysis: A Research Synthesis.American journal of speech-language pathology · 2018
    Pooled it
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  12. Multiple Coordination Patterns in Infant and Adult Vocalizations.Infancy : the official journal of the International Society on Infant Studies
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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

9 authors.

Mark VanDam1Department of Speech & Hearing Sciences, Medical Sciences, Washington State University, Spokane, Washington, USA; 2School of Communication Sciences and Disorders and 3Institute for Intelligent Systems, University of Memphis, Memphis, Tennessee, USA; 4Konrad Lorenz Institute for Evolution and Cognition Research, Klosterneuburg, Austria; 5Center for Childhood Deafness, Boys Town National Research Hospital, Omaha, Nebraska, USA; 6Nuance Communications, Burlington, Massachusetts, USA; 7LENA Research Foundation, Boulder, Colorado, USA; and 8University of Cincinnati, Cincinnati, Ohio, USA.
D Kimbrough Oller
Sophie E Ambrose
Sharmistha Gray
Jeffrey A Richards
Dongxin Xu
Jill Gilkerson
Noah H Silbert
Mary Pat Moeller

Funding

Outcomes of School-Age Children who are Hard of HearingR01DC009560 · NIDCD · UNIVERSITY OF IOWA · PI MOELLER, MARY PAT, TOMBLIN, JAMES BRUCE · 2008 to 2017
$13.8M
Research Synergy CoreP30DC004662 · NIDCD · FATHER FLANAGAN'S BOYS' HOME · PI MOELLER, MARY PAT, MORLEY, BARBARA J · 2001 to 2015
$5.9M
Vocal exploration and interaction in the emergence of speechR01DC011027 · NIDCD · UNIVERSITY OF MEMPHIS · PI OLLER, D. KIMBROUGH · 2011 to 2015
$2.8M
Infant vocalization and the foundations for speechR01DC006099 · NIDCD · UNIVERSITY OF MEMPHIS · PI OLLER, D. KIMBROUGH · 2004 to 2008
$2.0M
NIDCD NIH HHS L40 DC009767NIDCD NIH HHS P30 DC004662NIDCD NIH HHS R01 DC006099NIDCD NIH HHS R01 DC009560NIDCD NIH HHS R01-DC009560NIDCD NIH HHS R01-DC009560-01S1NIDCD NIH HHS R01 DC011027NIDCD NIH HHS R01-DC011027
6 · The paper itself

Abstract

objectivesThis study investigated automatic assessment of vocal development in children with hearing loss compared with children who are typically developing, have language delays, and have autism spectrum disorder. Statistical models are examined for performance in a classification model and to predict age within the four groups of children.

designThe vocal analysis system analyzed 1913 whole-day, naturalistic acoustic recordings from 273 toddlers and preschoolers comprising children who were typically developing, hard of hearing, language delayed, or autistic.

resultsSamples from children who were hard of hearing patterned more similarly to those of typically developing children than to the language delayed or autistic samples. The statistical models were able to classify children from the four groups examined and estimate developmental age based on automated vocal analysis.

conclusionsThis work shows a broad similarity between children with hearing loss and typically developing children, although children with hearing loss show some delay in their production of speech. Automatic acoustic analysis can now be used to quantitatively compare vocal development in children with and without speech-related disorders. The work may serve to better distinguish among various developmental disorders and ultimately contribute to improved intervention.

Indexed as

Child DevelopmentAudiometry, Pure-ToneAutistic DisorderAutomationChild, PreschoolFemaleHearing LossHumansLanguage Development DisordersMaleSpeechSpeech DisordersSpeech Recognition SoftwareVoice

Identifiers

PMID25587667
PMCPMC4478108

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.