Literature DB >> 34303644

COVID-19 detection from audio: seven grains of salt.

Harry Coppock1, Lyn Jones2, Ivan Kiskin3, Björn Schuller4.   

Abstract

Entities:  

Year:  2021        PMID： 34303644     DOI： 10.1016/S2589-7500(21)00141-2

Source DB:  PubMed          Journal:  Lancet Digit Health        ISSN： 2589-7500


× No keyword cloud information.
  4 in total

1.  Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.

Authors:  Alexander Ponomarchuk; Ilya Burenko; Elian Malkin; Ivan Nazarov; Vladimir Kokh; Manvel Avetisian; Leonid Zhukov
Journal:  IEEE J Sel Top Signal Process       Date:  2022-01-13       Impact factor: 7.695

2.  Graphene-based temperature, humidity, and strain sensor: A review on progress, characterization, and potential applications during Covid-19 pandemic.

Authors:  Zulhelmi Ismail; Wan Farhana W Idris; Abu Hannifa Abdullah
Journal:  Sens Int       Date:  2022-05-23

3.  Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning.

Authors:  Krishnaraj Chadaga; Chinmay Chakraborty; Srikanth Prabhu; Shashikiran Umakanth; Vivekananda Bhat; Niranjana Sampathila
Journal:  Interdiscip Sci       Date:  2022-02-08       Impact factor: 2.233

4.  Evaluating the COVID-19 Identification ResNet (CIdeR) on the INTERSPEECH COVID-19 From Audio Challenges.

Authors:  Alican Akman; Harry Coppock; Alexander Gaskell; Panagiotis Tzirakis; Lyn Jones; Björn W Schuller
Journal:  Front Digit Health       Date:  2022-07-07
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.