Evidence map›Paper›PMID 33384248›Full record

ArticleJournal of voice : official journal of the Voice Foundation2023

An Assessment of Different Praat Versions for Acoustic Measures Analyzed Automatically by VoiceEvalU8 and Manually by Two Raters.

Elizabeth U Grillo, Jeremy Wolfberg

Abstract read
In one paragraph

Article in Journal of voice : official journal of the Voice Foundation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
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  5. Reliability of Universal-Platform-BasedJournal of clinical medicine · 2023
    Article
  6. 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.

Elizabeth U GrilloWest Chester University, Department of Communication Sciences and Disorders, West Chester, Pennsylvania. Electronic address: egrillo@wcupa.edu.
Jeremy WolfbergMassachuetts General Hospital Institute of Health Professions, Speech-Language Pathology Master's Program, Boston, Massachusetts.

Funding

Effectiveness of Telepractice by Smartphone App Technology in Preventing Voice Problems.R15DC014566 · NIDCD · WEST CHESTER UNIVERSITY OF PENNSYLVANIA · PI GRILLO, ELIZABETH URBAN · 2015 to 2015
$410k
NIDCD NIH HHS R15 DC014566
6 · The paper itself

Abstract

introductionThe purpose of the study was to assess acoustic measures of fundamental frequency (f

methodsNineteen vocally healthy females used VoiceEvalU8 to record three 5-s sustained /a/ trials, the all voiced phrase "we were away a year ago," and a 15-s speech sample twice a day for five consecutive days. Two raters manually completed acoustic analysis using different versions of Praat and compared that analysis to measures automatically generated through a version of Praat used by VoiceEvalU8. One-way analyses of variance were run for all acoustic measures with post-hoc testing by the Bonferroni method. For acoustic measures that demonstrated significant differences, intraclass correlation coefficients were conducted.

resultsResults showed no significant differences across automatic and manual analysis for different versions of Praat for all acoustic measures during /a/, for f

conclusionsAcoustic measures analyzed through sustained /a/ and some of the acoustic measures during the phrase and speech were not different across multiple versions of Praat. Automatic analysis by VoiceEvalU8 produced similar mean values as compared to manual analysis by two raters. Even though SD of f

Indexed as

Speech AcousticsVoiceAcousticsFemaleHumansReproducibility of ResultsSpeech Production MeasurementVoice QualityAcoustics—Praat––Telehealth—Telepractice—Voice

Identifiers

PMID33384248
PMCPMC8236489

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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.