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Voice processing for COVID-19 scanning and prognostic indicator
COVID-19 pandemic has posed serious risk of contagion to humans. There is a need to find reliable non-contact tests like vocal correlates of COVID-19 infection. Thirty-six Asian ethnic volunteers 16 (8M & 8F) infected subjects and 20 (10M &10F) non-infected controls participated in this stud...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491927/ https://www.ncbi.nlm.nih.gov/pubmed/34632133 http://dx.doi.org/10.1016/j.heliyon.2021.e08134 |
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author | Sondhi, Savita Salhan, Ashok Santoso, Claire A. Doucoure, Mariam Dharmawan, Deandra M. Sureka, Aastha Natasha, Btari N. Danusaputro, Artaya D. Dowson, Nilakandiah S. Yap, Michelle S. Li. Hadiwidjaja, Moira A. Veeraraghavan, Sundhari G. Hatta, Athalia Z.R. Lee, Chaerin Megantara, Ruben A. Wihardja, Alexandra N. Sharma, Mansi Lardizabal, Erdolfo L. Sondhi, Laevin Jay Raina, Roma Vashisth, Sharda Hedwig, Rinda |
author_facet | Sondhi, Savita Salhan, Ashok Santoso, Claire A. Doucoure, Mariam Dharmawan, Deandra M. Sureka, Aastha Natasha, Btari N. Danusaputro, Artaya D. Dowson, Nilakandiah S. Yap, Michelle S. Li. Hadiwidjaja, Moira A. Veeraraghavan, Sundhari G. Hatta, Athalia Z.R. Lee, Chaerin Megantara, Ruben A. Wihardja, Alexandra N. Sharma, Mansi Lardizabal, Erdolfo L. Sondhi, Laevin Jay Raina, Roma Vashisth, Sharda Hedwig, Rinda |
author_sort | Sondhi, Savita |
collection | PubMed |
description | COVID-19 pandemic has posed serious risk of contagion to humans. There is a need to find reliable non-contact tests like vocal correlates of COVID-19 infection. Thirty-six Asian ethnic volunteers 16 (8M & 8F) infected subjects and 20 (10M &10F) non-infected controls participated in this study by vocalizing vowels /a/, /e/, /i/, /o/, /u/. Voice correlates of 16 COVID-19 positive patients were compared during infection and after recovery with 20 non-infected controls. Compared to non-infected controls, significantly higher values of energy intensity for /o/ (p = 0.048); formant F1 for /o/ (p = 0.014); and formant F3 for /u/ (p = 0.032) were observed in male patients, while higher values of Jitter (local, abs) for /o/ (p = 0.021) and Jitter (ppq5) for /a/ (p = 0.014) were observed in female patients. However, formant F2 for /u/ (p = 0.018), mean pitch F0 for /e/, /i/ and /o/ (p = 0.033; 0.036; 0.047) decreased for female patients under infection. Compared to recovered conditions, HNR for /e/ (p = 0.014) was higher in male patients under infection, while Jitter (rap) for /a/ (p = 0.041); Jitter (ppq5) for /a/ (p = 0.032); Shimmer (local, dB) for /i/ (p = 0.024); Shimmer (apq5) for /u/ (p = 0.019); and formant F4 for vowel /o/ (p = 0.022) were higher in female patients under infection. However, HNR for /e/ (p = 0.041); and formant F1 for /o/ (p = 0.002) were lower in female patients compared to their recovered conditions. Obtained results support the hypothesis since changes in voice parameters were observed in the infected patients which can be correlated to a combination of acoustic measures like fundamental frequency, formant characteristics, HNR, and voice perturbations like jitter and shimmer for different vowels. Thus, voice analysis can be used for scanning and prognosis of COVID-19 infection. Based on the findings of this study, a mobile application can be developed to analyze human voice in real-time to detect COVID-19 symptoms for remedial measures and necessary action. |
format | Online Article Text |
id | pubmed-8491927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84919272021-10-06 Voice processing for COVID-19 scanning and prognostic indicator Sondhi, Savita Salhan, Ashok Santoso, Claire A. Doucoure, Mariam Dharmawan, Deandra M. Sureka, Aastha Natasha, Btari N. Danusaputro, Artaya D. Dowson, Nilakandiah S. Yap, Michelle S. Li. Hadiwidjaja, Moira A. Veeraraghavan, Sundhari G. Hatta, Athalia Z.R. Lee, Chaerin Megantara, Ruben A. Wihardja, Alexandra N. Sharma, Mansi Lardizabal, Erdolfo L. Sondhi, Laevin Jay Raina, Roma Vashisth, Sharda Hedwig, Rinda Heliyon Research Article COVID-19 pandemic has posed serious risk of contagion to humans. There is a need to find reliable non-contact tests like vocal correlates of COVID-19 infection. Thirty-six Asian ethnic volunteers 16 (8M & 8F) infected subjects and 20 (10M &10F) non-infected controls participated in this study by vocalizing vowels /a/, /e/, /i/, /o/, /u/. Voice correlates of 16 COVID-19 positive patients were compared during infection and after recovery with 20 non-infected controls. Compared to non-infected controls, significantly higher values of energy intensity for /o/ (p = 0.048); formant F1 for /o/ (p = 0.014); and formant F3 for /u/ (p = 0.032) were observed in male patients, while higher values of Jitter (local, abs) for /o/ (p = 0.021) and Jitter (ppq5) for /a/ (p = 0.014) were observed in female patients. However, formant F2 for /u/ (p = 0.018), mean pitch F0 for /e/, /i/ and /o/ (p = 0.033; 0.036; 0.047) decreased for female patients under infection. Compared to recovered conditions, HNR for /e/ (p = 0.014) was higher in male patients under infection, while Jitter (rap) for /a/ (p = 0.041); Jitter (ppq5) for /a/ (p = 0.032); Shimmer (local, dB) for /i/ (p = 0.024); Shimmer (apq5) for /u/ (p = 0.019); and formant F4 for vowel /o/ (p = 0.022) were higher in female patients under infection. However, HNR for /e/ (p = 0.041); and formant F1 for /o/ (p = 0.002) were lower in female patients compared to their recovered conditions. Obtained results support the hypothesis since changes in voice parameters were observed in the infected patients which can be correlated to a combination of acoustic measures like fundamental frequency, formant characteristics, HNR, and voice perturbations like jitter and shimmer for different vowels. Thus, voice analysis can be used for scanning and prognosis of COVID-19 infection. Based on the findings of this study, a mobile application can be developed to analyze human voice in real-time to detect COVID-19 symptoms for remedial measures and necessary action. Elsevier 2021-10-05 /pmc/articles/PMC8491927/ /pubmed/34632133 http://dx.doi.org/10.1016/j.heliyon.2021.e08134 Text en © 2021 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Sondhi, Savita Salhan, Ashok Santoso, Claire A. Doucoure, Mariam Dharmawan, Deandra M. Sureka, Aastha Natasha, Btari N. Danusaputro, Artaya D. Dowson, Nilakandiah S. Yap, Michelle S. Li. Hadiwidjaja, Moira A. Veeraraghavan, Sundhari G. Hatta, Athalia Z.R. Lee, Chaerin Megantara, Ruben A. Wihardja, Alexandra N. Sharma, Mansi Lardizabal, Erdolfo L. Sondhi, Laevin Jay Raina, Roma Vashisth, Sharda Hedwig, Rinda Voice processing for COVID-19 scanning and prognostic indicator |
title | Voice processing for COVID-19 scanning and prognostic indicator |
title_full | Voice processing for COVID-19 scanning and prognostic indicator |
title_fullStr | Voice processing for COVID-19 scanning and prognostic indicator |
title_full_unstemmed | Voice processing for COVID-19 scanning and prognostic indicator |
title_short | Voice processing for COVID-19 scanning and prognostic indicator |
title_sort | voice processing for covid-19 scanning and prognostic indicator |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491927/ https://www.ncbi.nlm.nih.gov/pubmed/34632133 http://dx.doi.org/10.1016/j.heliyon.2021.e08134 |
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