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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.
  • Sondhi S; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Salhan A; Defense Institute of Physiology and Allied Science, (DIPAS), DRDO, New Delhi, 110054, India.
  • Santoso CA; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Doucoure M; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Dharmawan DM; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Sureka A; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Natasha BN; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Danusaputro AD; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Dowson NS; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Yap MSL; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Hadiwidjaja MA; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Veeraraghavan SG; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Hatta AZR; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Lee C; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Megantara RA; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Wihardja AN; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Sharma M; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Lardizabal EL; Bina Nusantara Group, Anggrek Campus, 11530 Jakarta, Indonesia.
  • Sondhi LJ; Department of Economics, University of Warwick, Coventry CV4 7AL, United Kingdom.
  • Raina R; Manipal Academy of Higher Education Dubai Campus, 345050, Dubai, United Arab Emirates.
  • Vashisth S; Electrical, Electronics and Communication Engineering, The NorthCap University, Gurgaon, Haryana, India.
  • Hedwig R; Computer Engineering Department, Faculty of Engineering, Bina Nusantara University, 11480, Jakarta, Indonesia.
Heliyon ; 7(10): e08134, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1575647
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Heliyon Year: 2021 Document Type: Article Affiliation country: J.heliyon.2021.e08134

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Heliyon Year: 2021 Document Type: Article Affiliation country: J.heliyon.2021.e08134