{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T07:19:00Z","timestamp":1777965540135,"version":"3.51.4"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,31]],"date-time":"2021-10-31T00:00:00Z","timestamp":1635638400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,31]]},"DOI":"10.1109\/ieeeconf53345.2021.9723323","type":"proceedings-article","created":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T15:26:46Z","timestamp":1646407606000},"page":"1146-1150","source":"Crossref","is-referenced-by-count":5,"title":["COVID-19 Detection using Audio Spectral Features and Machine Learning"],"prefix":"10.1109","author":[{"given":"Michael","family":"Esposito","sequence":"first","affiliation":[{"name":"SenSIP Center Arizona State University,School of Life Sciences,Tempe,AZ,USA"}]},{"given":"Sunil","family":"Rao","sequence":"additional","affiliation":[{"name":"SenSIP Center Arizona State University,School of ECEE,Tempe,AZ,USA"}]},{"given":"Vivek","family":"Narayanaswamy","sequence":"additional","affiliation":[{"name":"SenSIP Center Arizona State University,School of ECEE,Tempe,AZ,USA"}]},{"given":"Andreas","family":"Spanias","sequence":"additional","affiliation":[{"name":"SenSIP Center Arizona State University,School of ECEE,Tempe,AZ,USA"}]}],"member":"263","reference":[{"key":"ref39","first-page":"933","article-title":"Language modeling with gated convolutional networks","volume":"70","author":"dauphin","year":"2017","journal-title":"Proc 34th Int Conf Machine Learning (ICML) ser Proc Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.2200\/S00252ED1V01Y201001ASE003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2004.1328092"},{"key":"ref31","article-title":"Voice recognition algorithms using mel frequency cepstral coefficient (MFCC) and dynamic time warping (DTW) techniques","author":"muda","year":"2010"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.07.065"},{"key":"ref37","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc 3rd Int Conf Learning Representations (ICLR)"},{"key":"ref36","article-title":"A Statistical Model-Based Voice Activity Detection","volume":"6","author":"sohn","year":"1999","journal-title":"IEEE Signal Processing Letters"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1145287.1145312"},{"key":"ref34","article-title":"Mel Frequency Cepstral Coefficient (MFCC) tutorial","year":"0","journal-title":"Practical Cryptography"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11325-018-1695-6"},{"key":"ref40","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014"},{"key":"ref11","author":"spanias","year":"2014","journal-title":"Digital Signal Processing An Interactive Approach"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2004.835467"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/0470041978"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/89.784104"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/FIE.2018.8659113"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IISA.2017.8316459"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683780"},{"key":"ref18","article-title":"Python for Everybody","author":"severance","year":"2009"},{"key":"ref19","article-title":"Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems","author":"g\u00e9ron","year":"2019","journal-title":"O'Reilly Media"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-00937-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.arth.2020.04.055"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-2768"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2020.00465"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2020.100378"},{"key":"ref29","year":"0","journal-title":"Covid-19 dataset"},{"key":"ref5","article-title":"Abnormal Respiratory Patterns Classifier May Contribute to Large-scale Screening of People Infected With COVID-19 In An Accurate and Unobtrusive Manner","author":"wang","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0162128"},{"key":"ref7","year":"2020","journal-title":"Clinical management of severe acute respiratory infection (SARI) when COVID-19 disease is suspected interim guidance"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/hed.26212"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0213659"},{"key":"ref1","year":"0"},{"key":"ref20","year":"0"},{"key":"ref22","year":"0","journal-title":"COVID Voice Detector"},{"key":"ref21","author":"brown","year":"2021","journal-title":"Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data"},{"key":"ref42","article-title":"Xgboost: extreme gradient boosting","volume":"1","author":"chen","year":"2015","journal-title":"R package version 0 4-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/OJEMB.2020.2998051"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80023-1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/OJEMB.2020.3026928"},{"key":"ref26","article-title":"Automatic Detection of COVID-19 Based on Short-Duration Acoustic Smartphone Speech Analysis","volume":"11","author":"stasak","year":"2021","journal-title":"Healthcare Informatics Research"},{"key":"ref43","first-page":"212","article-title":"General-purpose audio tagging from noisy labels using convolutional neural networks","author":"iqbal","year":"2018","journal-title":"Proc Workshop (DCASE-2018)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-020-00422-6"}],"event":{"name":"2021 55th Asilomar Conference on Signals, Systems, and Computers","location":"Pacific Grove, CA, USA","start":{"date-parts":[[2021,10,31]]},"end":{"date-parts":[[2021,11,3]]}},"container-title":["2021 55th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9723034\/9723086\/09723323.pdf?arnumber=9723323","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,15]],"date-time":"2022-06-15T16:16:14Z","timestamp":1655309774000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9723323\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,31]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf53345.2021.9723323","relation":{},"subject":[],"published":{"date-parts":[[2021,10,31]]}}}