Evidence map›Paper›PMID 35168867›Full record

ArticleJournal of voice : official journal of the Voice Foundation2024

A Semiautomated Protocol Towards Quantifying Vocal Effort in Relation to Vocal Performance During a Vocal Loading Task.

Eric J Hunter, Mark L Berardi, Susanna Whitling

Abstract read
In one paragraph

Article in Journal of voice : official journal of the Voice Foundation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Muscle Activity and Aerodynamic Voice Changes at Different Body Postures: A Pilot Study.Journal of voice : official journal of the Voice Foundation · 2025
    Article
  4. 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

3 authors.

Eric J HunterDepartment of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan. Electronic address: ejhunter@msu.edu.
Mark L BerardiUniversity Hospital Bonn (UKB), Bonn, Germany.
Susanna WhitlingDepartment of Logopedics, Phoniatrics and Audiology, Lund University, Lund, Sweden.

Funding

Protecting Teachers’ Voices: Investigating Risk Factors, Conducting Cost AnalysisR01DC012315 · NIDCD · UNIVERSITY OF UTAH · PI HUNTER, ERIC J · 2013 to 2025
$5.5M
NIDCD NIH HHS R01 DC012315
6 · The paper itself

Abstract

To increase the reliability and comparability of vocal loading studies, this paper proposes the use of a standardized approach with experiments that are [1] grounded on consistent definitions of terms related to vocal fatigue (vocal effort, vocal demand, and vocal demand response), and [2] designed to reduce uncertainty and increase repeatability. In the approach, a semi-automated vocal loading task that also increases efficiencies in collecting and preparing vocal samples for analysis was used to answer the following research question: To what extent is vocal effort and vocal demand response sensitive to changes in vocal demands (ie, noise only, noise plus duration)? Results indicate that the proposed protocol design consistently induced change in both vocal effort and vocal demand response, indicating vocal fatigue. The efficacy of future vocal loading studies would be improved by adopting a more consistent methodology for quantifying vocal fatigue, thus increasing interstudy comparability of results and conclusions.

Indexed as

PhonationVoice QualityAcousticsAdultAutomationFemaleHumansMalePredictive Value of TestsReproducibility of ResultsSpeech AcousticsTime FactorsYoung AdultVocal loading— Vocal fatigue— Vocal effort— Vocal level— Vocal demand— Voice production

Identifiers

PMID35168867
PMCPMC9372227

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.