Literature DB >> 27068549

Smartphones Offer New Opportunities in Clinical Voice Research.

C Manfredi1, J Lebacq2, G Cantarella3, J Schoentgen4, S Orlandi1, A Bandini1, P H DeJonckere5.   

Abstract

Smartphone technology provides new opportunities for recording standardized voice samples of patients and sending the files by e-mail to the voice laboratory. This drastically improves the collection of baseline data, as 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 this experiment, two smartphones (a very inexpensive one and a high-level one) were tested and compared with direct microphone recordings in a soundproof room. The voice stimuli consisted in synthesized deviant voice samples (median of fundamental frequency: 120 and 200 Hz) with three levels of jitter and three levels of added noise. All voice samples were analyzed using PRAAT software. The results show high correlations between jitter, shimmer, and noise-to-harmonics ratio measured on the recordings via both smartphones, the microphone, and measured directly on the sound files from the synthesizer. Smartphones thus appear adequate for reliable recording and digitizing of pathologic voices.
Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  baseline design; dysphonia; smartphone; synthetic voices; voice assessment

Mesh:

Year:  2016        PMID: 27068549     DOI: 10.1016/j.jvoice.2015.12.020

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


  10 in total

1.  Exploring the feasibility of the combination of acoustic voice quality index and glottal function index for voice pathology screening.

Authors:  Nora Ulozaite-Staniene; Tadas Petrauskas; Viktoras Šaferis; Virgilijus Uloza
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-04-23       Impact factor: 2.503

2.  Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment.

Authors:  Apiwat Ditthapron; Emmanuel O Agu; Adam C Lammert
Journal:  IEEE Open J Eng Med Biol       Date:  2021-03-04

Review 3.  Terapia de voz en el contexto de la pandemia covid-19; recomendaciones para la práctica clínica.

Authors:  Adrián Castillo-Allendes; Francisco Contreras-Ruston; Lady Cantor; Juliana Codino; Marco Guzman; Celina Malebran; Carlos Manzano; Axel Pavez; Thays Vaiano; Fabiana Wilder; Mara Behlau
Journal:  J Voice       Date:  2020-08-22       Impact factor: 2.009

Review 4.  Terapia Vocal No Contexto Da Pandemia Do Covid-19; Orientações Para A Prática Clínica.

Authors:  Adrián Castillo-Allendes; Francisco Contreras-Ruston; Lady Cantor; Juliana Codino; Marco Guzman; Celina Malebran; Carlos Manzano; Axel Pavez; Thays Vaiano; Fabiana Wilder; Mara Behlau
Journal:  J Voice       Date:  2020-08-20       Impact factor: 2.009

5.  Atypical Repetition in Daily Conversation on Different Days for Detecting Alzheimer Disease: Evaluation of Phone-Call Data From Regular Monitoring Service.

Authors:  Yasunori Yamada; Kaoru Shinkawa; Keita Shimmei
Journal:  JMIR Ment Health       Date:  2020-01-12

Review 6.  Voice Therapy in the Context of the COVID-19 Pandemic: Guidelines for Clinical Practice.

Authors:  Adrián Castillo-Allendes; Francisco Contreras-Ruston; Lady Catherine Cantor-Cutiva; Juliana Codino; Marco Guzman; Celina Malebran; Carlos Manzano; Axel Pavez; Thays Vaiano; Fabiana Wilder; Mara Behlau
Journal:  J Voice       Date:  2020-08-07       Impact factor: 2.009

7.  Automatic Assessment of Loneliness in Older Adults Using Speech Analysis on Responses to Daily Life Questions.

Authors:  Yasunori Yamada; Kaoru Shinkawa; Miyuki Nemoto; Tetsuaki Arai
Journal:  Front Psychiatry       Date:  2021-12-13       Impact factor: 4.157

8.  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

9.  Post-stroke respiratory complications using machine learning with voice features from mobile devices.

Authors:  Hae-Yeon Park; DoGyeom Park; Seungchul Lee; Sun Im; Hye Seon Kang; HyunBum Kim
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

10.  Comparing acoustic analyses of speech data collected remotely.

Authors:  Cong Zhang; Kathleen Jepson; Georg Lohfink; Amalia Arvaniti
Journal:  J Acoust Soc Am       Date:  2021-06       Impact factor: 1.840

  10 in total

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