Reviewing the literature
it is growing quite fast
Often our group meets to discuss papers being published on the topic of using human sound recordings for designing COVID-19 screening techniques. In this page we mention these papers. There may be a lot more out there. In case you will like us to take note of your paper feel free to communicate with us.
1. Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis
Authors: Neeraj Sharma, Prashant Krishnan, Rohit Kumar, Shreyas Ramoji, Srikanth Raj Chetupalli, Nirmala R., Prasanta Kumar Ghosh, Sriram Ganapathy
Published: Interspeech 2020
2. Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound
Authors: Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
Published: KDD 2020
3. AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App
Authors: Ali Imrana et al.
Published: Elsevier
4. A Framework for Biomarkers of COVID-19 Based on Coordination of Speech-Production Subsystems
Authors: Thomas F. Quatieri et al.
Published: IEEE
5. An Overview on Audio, Signal, Speech, & Language Processing for COVID-19
Authors: Gauri Deshpande, Björn Schuller
Published: arxiv
6. COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings
Authors: Jordi Laguarta, Ferran Hueto, Brian Subirana
Published: arxiv
7. Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds
Authors: Piyush Bagad, Aman Dalmia, Jigar Doshi, Arsha Nagrani, Parag Bhamare, Amrita Mahale, Saurabh Rane, Neeraj Agarwal, Rahul Panicker
Published: arxiv
- Remarks: This is a very well written paper, and presents the study design and experiment details in good depth.
8. Virufy: Global Applicability of Crowdsourced and Clinical Datasets for AI Detection of COVID-19 from Cough Audio Samples
Authors: Gunvant Chaudhari, Xinyi Jiang, Ahmed Fakhry, Asriel Han, Jaclyn Xiao, Sabrina Shen, Amil Khanzada
Published: arxiv
9. The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms
Authors: Lara Orlandic, Tomas Teijeiro, David Atienza
Published: arxiv
10. COVID-19 Cough Classification using Machine Learning and Global Smartphone Recordings
Authors: Madhurananda Pahar, Marisa Klopper, Robin Warren, and Thomas Niesler
Published: [arxiv]