Evidence map›Paper›PMID 37695295›Full record

ArticleThe Journal of the Acoustical Society of America2023

Using a vertical three-mass computational model of the vocal folds to match human phonation of three adult males.

Brittany L Perrine, Ronald C Scherer

Open access · greenAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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.

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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. A hybrid vocal fold phonatory platform for pediatric phonation modeling.Frontiers in bioengineering and biotechnology · 2025
    Article
  3. 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 at 2 institutions in 1 country.

Brittany L PerrineDepartment of Communication Sciences and Disorders, Baylor University, One Bear Place #97332, Waco, Texas 76798, USA.
Ronald C SchererDepartment of Communication Sciences and Disorders, Bowling Green State University, Ridge Street, Bowling Green, Ohio 43403, USA.
Baylor University · USBowling Green State University · US

Funding

Efficacy of Laryngeal High-Speed VideoendoscopyR01DC007640 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI DELIYSKI, DIMITAR D · 2007 to 2011
$2.5M
NIDCD NIH HHS R01 DC007640
6 · The paper itself

Abstract

Computer models of phonation are used to study various parameters that are difficult to control, measure, and observe in human subjects. Imitating human phonation by varying the prephonatory conditions of computer models offers insight into the variations that occur across human phonatory production. In the present study, a vertical three-mass computer model of phonation [Perrine, Scherer, Fulcher, and Zhai (2020). J. Acoust. Soc. Am. 147, 1727-1737], driven by empirical pressures from a physical model of the vocal folds (model M5), with a vocal tract following the design of Ishizaka and Flanagan [(1972). Bell Sys. Tech. J. 51, 1233-1268] was used to match prolonged vowels produced by three male subjects using various pitch and loudness levels. The prephonatory conditions of tissue mass and tension, subglottal pressure, glottal diameter and angle, posterior glottal gap, false vocal fold gap, and vocal tract cross-sectional areas were varied in the model to match the model output with the fundamental frequency, alternating current airflow, direct current airflow, skewing quotient, open quotient, maximum flow negative derivative, and the first three formant frequencies from the human production. Parameters were matched between the model and human subjects with an average overall percent mismatch of 4.40% (standard deviation = 6.75%), suggesting a reasonable ability of the simple low dimensional model to mimic these variables.

Indexed as

LarynxVocal CordsAdultComputer SimulationGlottisHumansMalePhonation

Identifiers

PMID37695295
PMCPMC10497319
OpenAlexW4386591873

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.