# Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-based-voice-assessment-for-the-detection-of-positive-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Carlo Robotti,Giovanni Costantini,Giovanni Saggio,Valerio Cesarini,Anna Calastri,Eugenia Maiorano,Davide Piloni,Tiziano Perrone,Umberto Sabatini,Virginia Valeria Ferretti,Irene Cassaniti,Fausto Baldanti,Andrea Gravina,Ahmed Shahriar Sakib,Elena Alessi,Filomena Pietrantonio,Matteo Pascucci,Daniele Casali,Zakarya Zarezadeh,Vincenzo Del Zoppo,Antonio Pisani,Marco Benazzo |
| Citations | 30 |
| DOI | 10.1016/j.jvoice.2021.11.004 |
| Fields | Medicine,Psychology |
| Open Access | true |
| OA Status | bronze |
| OA URL | http://www.jvoice.org/article/S089219972100388X/pdf |
| OpenAlex ID | https://openalex.org/W3216450352 |
| PMID | 34965907 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Daniele Casali](https://scholariq.org/researchers/daniele-casali/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [COVID-19 and Mental Health](https://scholariq.org/topics/covid-19-and-mental-health/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.