{"id":"https://openalex.org/W3197851916","doi":"https://doi.org/10.21437/interspeech.2021-1771","title":"Speaking Corona? Human and Machine Recognition of COVID-19 from Voice","display_name":"Speaking Corona? Human and Machine Recognition of COVID-19 from Voice","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3197851916","doi":"https://doi.org/10.21437/interspeech.2021-1771","mag":"3197851916"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2021-1771","is_oa":true,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-1771","pdf_url":"https://www.isca-archive.org/interspeech_2021/hecker21_interspeech.html","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.isca-archive.org/interspeech_2021/hecker21_interspeech.html","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014387355","display_name":"Pascal Hecker","orcid":"https://orcid.org/0000-0001-6604-1671"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pascal Hecker","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003081855","display_name":"Florian B. Pokorny","orcid":"https://orcid.org/0000-0001-9203-2904"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian B. Pokorny","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074148655","display_name":"Katrin D. Bartl-Pokorny","orcid":"https://orcid.org/0000-0002-2658-1056"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Katrin D. Bartl-Pokorny","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043184820","display_name":"Uwe D. Reichel","orcid":"https://orcid.org/0000-0002-2733-2959"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uwe Reichel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063262277","display_name":"Zhao Ren","orcid":"https://orcid.org/0000-0003-0707-5016"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Ren","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067527166","display_name":"Simone Hantke","orcid":"https://orcid.org/0000-0002-9606-2913"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simone Hantke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023264395","display_name":"Florian Eyben","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian Eyben","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053975128","display_name":"Dagmar Schuller","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dagmar M. Schuller","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058391738","display_name":"Bert Arnrich","orcid":"https://orcid.org/0000-0001-8380-7667"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bert Arnrich","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn W. Schuller","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5014387355"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8247,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72777611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1029","last_page":"1033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.762311577796936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5954780578613281},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5085734128952026},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5064455270767212},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4973497688770294},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4797157645225525},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42147111892700195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3855203688144684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3574472665786743},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.34297865629196167},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17746007442474365},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08838137984275818}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.762311577796936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5954780578613281},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5085734128952026},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5064455270767212},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4973497688770294},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4797157645225525},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42147111892700195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3855203688144684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3574472665786743},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34297865629196167},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17746007442474365},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08838137984275818},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2021-1771","is_oa":true,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-1771","pdf_url":"https://www.isca-archive.org/interspeech_2021/hecker21_interspeech.html","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:91651","is_oa":false,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91651","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:bookpart"}],"best_oa_location":{"id":"doi:10.21437/interspeech.2021-1771","is_oa":true,"landing_page_url":"https://doi.org/10.21437/interspeech.2021-1771","pdf_url":"https://www.isca-archive.org/interspeech_2021/hecker21_interspeech.html","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3197851916.pdf","grobid_xml":"https://content.openalex.org/works/W3197851916.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2066833106","https://openalex.org/W2098728245","https://openalex.org/W2186450909","https://openalex.org/W2530921900","https://openalex.org/W3012958766","https://openalex.org/W3028563376","https://openalex.org/W3035378948","https://openalex.org/W3046698956","https://openalex.org/W3091000562","https://openalex.org/W3095858789","https://openalex.org/W3097779478","https://openalex.org/W3137914271","https://openalex.org/W3138371708","https://openalex.org/W3173449808"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003"],"abstract_inverted_index":{"With":[0],"the":[1,40,71,113,135,147,163,172],"COVID-19":[2,15,23,50,76,92,104,119,169],"pandemic,":[3],"several":[4],"research":[5],"teams":[6],"have":[7],"reported":[8],"successful":[9],"advances":[10],"in":[11,90,122,171],"automated":[12],"recognition":[13],"of":[14,31,87,137,142,149,154,157],"by":[16,100,174],"voice.":[17],"Resulting":[18],"voice-based":[19,168],"screening":[20],"tools":[21],"for":[22,70,165],"could":[24],"support":[25],"large-scale":[26],"testing":[27],"efforts.":[28],"While":[29],"capabilities":[30,148],"machines":[32],"on":[33],"this":[34],"task":[35],"are":[36,98],"progressing,":[37],"we":[38,81],"approach":[39],"so":[41],"far":[42],"unexplored":[43],"aspect":[44],"whether":[45],"human":[46,110,177],"raters":[47,111,178],"can":[48],"distinguish":[49],"positive":[51,93,120],"and":[52,59,77,94,112,179],"negative":[53,95,105],"tested":[54,96],"speakers":[55,97,106,121,141],"from":[56],"voice":[57,88],"samples,":[58,89],"compare":[60],"their":[61,101],"performance":[62],"to":[63,116,134],"a":[64,83,143,166],"machine":[65,114,180],"learning":[66,181],"baseline.":[67],"To":[68],"account":[69],"challenging":[72],"symptom":[73,159],"similarity":[74],"between":[75],"other":[78],"respiratory":[79],"diseases,":[80],"use":[82],"carefully":[84],"balanced":[85],"dataset":[86,144],"which":[91],"matched":[99],"symptoms":[102,138],"alongside":[103],"without":[107],"symptoms.":[108],"Both":[109],"struggle":[115],"reliably":[117],"identify":[118],"our":[123],"dataset.":[124],"These":[125],"results":[126],"indicate":[127],"that":[128],"particular":[129],"attention":[130],"should":[131],"be":[132,162],"paid":[133],"distribution":[136],"across":[139],"all":[140],"when":[145],"assessing":[146],"existing":[150],"systems.":[151],"The":[152],"identification":[153],"acoustic":[155],"aspects":[156],"COVID-19-related":[158],"manifestations":[160],"might":[161],"key":[164],"reliable":[167],"detection":[170],"future":[173],"both":[175],"trained":[176],"models.":[182],"Copyright":[183],"\u00a92021":[184],"ISCA.":[185]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
