Smartphone Recordings are Comparable to “Gold Standard” Recordings for Acoustic Measurements of Voice-Reference-Cited by-同舟云学术

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Smartphone Recordings are Comparable to “Gold Standard” Recordings for Acoustic Measurements of Voice

Published:2023-04 Issue: Volume: Page:
ISSN:0892-1997
Container-title:Journal of Voice
language:en
Short-container-title:Journal of Voice

Author:

Awan Shaheen N.^ORCID,Shaikh Mohsin Ahmed^ORCID,Awan Jordan A.^ORCID,Abdalla Ibrahim^ORCID,Lim Kelvin O.,Misono Stephanie

Funder

National Institutes of Health

National Institute on Deafness and Other Communication Disorders

NSF

American College of Surgeons

Purdue University

National Science Foundation

American Laryngological, Rhinological and Otological Society

Publisher

Elsevier BV

Subject

LPN and LVN,Speech and Hearing,Otorhinolaryngology

Reference43 articles.

1. Smartphone Use in Clinical Voice Recording and Acoustic Analysis: A Literature Review;Petrizzo;J Voice,2021

2. Assessing voice health using smartphones: bias and random error of acoustic voice parameters captured by different smartphone types;Jannetts;Int J Lang Commun Disord,2019

3. Influence of Smartphones and Software on Acoustic Voice Measures;Grillo;Int J Telerehabil,2016

4. Recording Quality of Smartphone for Acoustic Analysis;Kim;Journal of Clinical Otolaryngology Head and Neck Surgery,2016

5. Mobile Communication Devices, Ambient Noise, and Acoustic Voice Measures;Maryn;J Voice,2017

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2. The agreement of phonetic transcriptions between paediatric speech and language therapists transcribing a disordered speech sample;International Journal of Language & Communication Disorders;2024-06-08

3. Validity of Acoustic Measures Obtained Using Various Recording Methods Including Smartphones With and Without Headset Microphones;Journal of Speech, Language, and Hearing Research;2024-06-06

4. A comparison of acoustic measures among the microphone types for smartphone recordings in normal adults*;Phonetics and Speech Sciences;2024-06

5. Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study;JMIR Biomedical Engineering;2024-04-15

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