Literature DB >> 28320627

Maximal Ambient Noise Levels and Type of Voice Material Required for Valid Use of Smartphones in Clinical Voice Research.

Jean Lebacq1, Jean Schoentgen2, Giovanna Cantarella3, Franz Thomas Bruss4, Claudia Manfredi5, Philippe DeJonckere6.   

Abstract

PURPOSE: Smartphone technology provides new opportunities for recording standardized voice samples of patients and transmitting the audio files to the voice laboratory. This drastically improves the achievement of baseline designs, used in research on efficiency of voice treatments. However, the basic requirement is the suitability of smartphones for recording and digitizing pathologic voices (mainly characterized by period perturbations and noise) without significant distortion. In a previous article, this was tested using realistic synthesized deviant voice samples (/a:/) with three precisely known levels of jitter and of noise in all combinations. High correlations were found between jitter and noise to harmonics ratio measured in (1) recordings via smartphones, (2) direct microphone recordings, and (3) sound files generated by the synthesizer. In the present work, similar experiments were performed (1) in the presence of increasing levels of ambient noise and (2) using synthetic deviant voice samples (/a:/) as well as synthetic voice material simulating a deviant short voiced utterance (/aiuaiuaiu/).
RESULTS: Ambient noise levels up to 50 dBA are acceptable. However, signal processing occurs in some smartphones, and this significantly affects estimates of jitter and noise to harmonics ratio when formant changes are introduced in analogy with running speech. The conclusion is that voice material must provisionally be limited to a sustained /a/.
Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acoustics; Dysphonia; Noise; Recording; Smartphone

Mesh:

Year:  2017        PMID: 28320627     DOI: 10.1016/j.jvoice.2017.02.017

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


  2 in total

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

Authors:  Hasini R Weerathunge; Roxanne K Segina; Lauren Tracy; Cara E Stepp
Journal:  J Speech Lang Hear Res       Date:  2021-06-22       Impact factor: 2.297

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

Authors:  Prateek Lokwani; Prashanth Prabhu; Kavassery Venkateswaran Nisha
Journal:  J Otol       Date:  2022-08-14
  2 in total

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