Evidence map›Paper›PMID 38749007›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2024

Validity of Acoustic Measures Obtained Using Various Recording Methods Including Smartphones With and Without Headset Microphones.

Shaheen N Awan, Ruth Bahr, Stephanie Watts, Micah Boyer, Robert Budinsky, Bridge2AI Voice Consortium, Yael Bensoussan

Abstract readValidation Study
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. A Cross-Language Study of Oral Diadochokinesis: Rates and Rhythm.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Evidence-Based Recommendations for Tablet Recordings From the Bridge2AI-Voice Acoustic Experiments.Journal of voice : official journal of the Voice Foundation · 2024
    Article
  11. 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

7 authors.

Shaheen N AwanSchool of Communication Sciences and Disorders, University of Central Florida, Orlando.ORCID 0000-0003-3331-4156
Ruth BahrDepartment of Communication Sciences & Disorders, University of South Florida, Tampa.ORCID 0000-0002-7164-4685
Stephanie WattsDepartment of Otolaryngology - Head & Neck Surgery, Morsani College of Medicine, University of South Florida, Tampa.
Micah BoyerDepartment of Otolaryngology - Head & Neck Surgery, Morsani College of Medicine, University of South Florida, Tampa.
Robert BudinskyDepartment of Communication Sciences & Disorders, University of South Florida, Tampa.
Bridge2AI Voice Consortium
Yael BensoussanDepartment of Otolaryngology - Head & Neck Surgery, Morsani College of Medicine, University of South Florida, Tampa.

Funding

Bridge2AI: Voice as a Biomarker of Health - Building an ethically sourced, bioaccoustic database to understand disease like never beforeOT2OD032720 · OD · UNIVERSITY OF SOUTH FLORIDA · PI BENSOUSSAN, YAEL EMILIE, BÉLISLE-PIPON, JEAN-CHRISTOPHE · 2022 to 2025
$18.0M
Developing an App-Based Voice Clinical Decision Support Tool to Augment the Sensitivity of the Bedside Swallow Evaluation in Older AdultsK76AG079040 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Anais Rameau · 2022 to 2026
$972k
NIA NIH HHS K76 AG079040NIH HHS OT2 OD032720
6 · The paper itself

Abstract

purposeThe goal of this study was to assess various recording methods, including combinations of high- versus low-cost microphones, recording interfaces, and smartphones in terms of their ability to produce commonly used time- and spectral-based voice measurements.

methodTwenty-four vowel samples representing a diversity of voice quality deviations and severities from a wide age range of male and female speakers were played via a head-and-thorax model and recorded using a high-cost, research standard GRAS 40AF (GRAS Sound & Vibration) microphone and amplification system. Additional recordings were made using various combinations of headset microphones (AKG C555 L [AKG Acoustics GmbH], Shure SM35-XLR [Shure Incorporated], AVID AE-36 [AVID Products, Inc.]) and audio interfaces (Focusrite Scarlett 2i2 [Focusrite Audio Engineering Ltd.] and PC, Focusrite and smartphone, smartphone via a TRRS adapter), as well as smartphones direct (Apple iPhone 13 Pro, Google Pixel 6) using their built-in microphones. The effect of background noise from four different room conditions was also evaluated. Vowel samples were analyzed for measures of fundamental frequency, perturbation, cepstral peak prominence, and spectral tilt (low vs. high spectral ratio).

resultsResults show that a wide variety of recording methods, including smartphones with and without a low-cost headset microphone, can effectively track the wide range of acoustic characteristics in a diverse set of typical and disordered voice samples. Although significant differences in acoustic measures of voice may be observed, the presence of extremely strong correlations (

conclusionBecause handheld smartphone distance and positioning may be highly variable when used in actual clinical recording situations, smartphone + a low-cost headset microphone is recommended as an affordable recording method that controls mouth-to-microphone distance and positioning and allows both hands to be available for manipulation of the smartphone device.

Indexed as

SmartphoneSpeech AcousticsAdolescentAdultFemaleHumansMaleMiddle AgedReproducibility of ResultsSpeech Production MeasurementVoice QualityYoung Adult

Identifiers

PMID38749007
PMCPMC12379677

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.