Literature DB >> 27692682

Mobile Communication Devices, Ambient Noise, and Acoustic Voice Measures.

Youri Maryn1, Femke Ysenbaert2, Andrzej Zarowski3, Robby Vanspauwen3.   

Abstract

OBJECTIVES: The ability to move with mobile communication devices (MCDs; ie, smartphones and tablet computers) may induce differences in microphone-to-mouth positioning and use in noise-packed environments, and thus influence reliability of acoustic voice measurements. This study investigated differences in various acoustic voice measures between six recording equipments in backgrounds with low and increasing noise levels.
METHODS: One chain of continuous speech and sustained vowel from 50 subjects with voice disorders (all separated by silence intervals) was radiated and re-recorded in an anechoic chamber with five MCDs and one high-quality recording system. These recordings were acquired in one condition without ambient noise and in four conditions with increased ambient noise. A total of 10 acoustic voice markers were obtained in the program Praat. Differences between MCDs and noise condition were assessed with Friedman repeated-measures test and posthoc Wilcoxon signed-rank tests, both for related samples, after Bonferroni correction.
RESULTS: (1) Except median fundamental frequency and seven nonsignificant differences, MCD samples have significantly higher acoustic markers than clinical reference samples in minimal environmental noise. (2) Except median fundamental frequency, jitter local, and jitter rap, all acoustic measures on samples recorded with the reference system experienced significant influence from room noise levels.
CONCLUSIONS: Fundamental frequency is resistant to recording system, environmental noise, and their combination. All other measures, however, were impacted by both recording system and noise condition, and especially by their combination, often already in the reference/baseline condition without added ambient noise. Caution is therefore warranted regarding implementation of MCDs as clinical recording tools, particularly when applied for treatment outcomes assessments.
Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acoustic analysis; Ambient noise; Mobile recording systems; Voice

Mesh:

Year:  2016        PMID: 27692682     DOI: 10.1016/j.jvoice.2016.07.023

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  9 in total

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3.  Accuracy of Acoustic Measures of Voice via Telepractice Videoconferencing Platforms.

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4.  The Effect of Microphone Frequency Response on Spectral and Cepstral Measures of Voice: An Examination of Low-Cost Electret Headset Microphones.

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Review 5.  Voice Therapy in the Context of the COVID-19 Pandemic: Guidelines for Clinical Practice.

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6.  Are Acoustic Markers of Voice and Speech Signals Affected by Nose-and-Mouth-Covering Respiratory Protective Masks?

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8.  Profiles and predictors of onset based differences in vocal characteristics of adults with auditory neuropathy spectrum disorder (ANSD).

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9.  Comparing acoustic analyses of speech data collected remotely.

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Journal:  J Acoust Soc Am       Date:  2021-06       Impact factor: 1.840

  9 in total

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