{"id":"https://openalex.org/W4388667056","doi":"https://doi.org/10.1109/bhi58575.2023.10313458","title":"VoStress \u2013 Voice-based Detection of Acute Psychosocial Stress","display_name":"VoStress \u2013 Voice-based Detection of Acute Psychosocial Stress","publication_year":2023,"publication_date":"2023-10-15","ids":{"openalex":"https://openalex.org/W4388667056","doi":"https://doi.org/10.1109/bhi58575.2023.10313458"},"language":"en","primary_location":{"id":"doi:10.1109/bhi58575.2023.10313458","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bhi58575.2023.10313458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093260768","display_name":"Marie Oesten","orcid":"https://orcid.org/0009-0007-2707-886X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marie Oesten","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035430335","display_name":"Robert Richer","orcid":"https://orcid.org/0000-0003-0272-5403"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Richer","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028863974","display_name":"Luca Abel","orcid":"https://orcid.org/0000-0002-5044-7113"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Luca Abel","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032583018","display_name":"Nicolas Rohleder","orcid":"https://orcid.org/0000-0003-2602-517X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicolas Rohleder","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Chair of Health Psychology,Erlangen,Germany,91054"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Chair of Health Psychology,Erlangen,Germany,91054","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014144494","display_name":"Bjoern M. Eskofier","orcid":"https://orcid.org/0000-0002-0417-0336"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjoern M. Eskofier","raw_affiliation_strings":["Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU),Machine Learning and Data Analytics Lab (MaD Lab),Department Artificial Intelligence in Biomedical Engineering (AIBE),Erlangen,Germany,91052","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5093260768"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.6175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63498264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10529","display_name":"Stress Responses and Cortisol","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2802","display_name":"Behavioral Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10529","display_name":"Stress Responses and Cortisol","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2802","display_name":"Behavioral Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9609000086784363,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trier-social-stress-test","display_name":"Trier social stress test","score":0.9526818990707397},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.7420564293861389},{"id":"https://openalex.org/keywords/psychological-stress","display_name":"Psychological stress","score":0.5221652984619141},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5198812484741211},{"id":"https://openalex.org/keywords/fight-or-flight-response","display_name":"Fight-or-flight response","score":0.4727911651134491},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.46565964818000793},{"id":"https://openalex.org/keywords/stress-test","display_name":"Stress test","score":0.464080810546875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4436705708503723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4415714144706726},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4194547235965729},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.4018482565879822},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2748139500617981},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.24638140201568604},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20962479710578918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1869271993637085}],"concepts":[{"id":"https://openalex.org/C2778597338","wikidata":"https://www.wikidata.org/wiki/Q7841444","display_name":"Trier social stress test","level":4,"score":0.9526818990707397},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.7420564293861389},{"id":"https://openalex.org/C2780015598","wikidata":"https://www.wikidata.org/wiki/Q3500368","display_name":"Psychological stress","level":2,"score":0.5221652984619141},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5198812484741211},{"id":"https://openalex.org/C78604142","wikidata":"https://www.wikidata.org/wiki/Q1640582","display_name":"Fight-or-flight response","level":3,"score":0.4727911651134491},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.46565964818000793},{"id":"https://openalex.org/C2779201015","wikidata":"https://www.wikidata.org/wiki/Q1308919","display_name":"Stress test","level":2,"score":0.464080810546875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4436705708503723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4415714144706726},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4194547235965729},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.4018482565879822},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2748139500617981},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.24638140201568604},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20962479710578918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1869271993637085},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi58575.2023.10313458","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bhi58575.2023.10313458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1888073748","https://openalex.org/W1970332903","https://openalex.org/W1971639265","https://openalex.org/W1983627766","https://openalex.org/W2023477927","https://openalex.org/W2091413411","https://openalex.org/W2101234009","https://openalex.org/W2144961120","https://openalex.org/W2157658443","https://openalex.org/W2736998416","https://openalex.org/W2884225676","https://openalex.org/W2972961215","https://openalex.org/W2976017816","https://openalex.org/W3157070662","https://openalex.org/W3158380130","https://openalex.org/W3198482860","https://openalex.org/W4200162263","https://openalex.org/W4251579429","https://openalex.org/W4309969794","https://openalex.org/W4320485775"],"related_works":["https://openalex.org/W2041290325","https://openalex.org/W2981401158","https://openalex.org/W2077223757","https://openalex.org/W3203922361","https://openalex.org/W2023477927","https://openalex.org/W2797353419","https://openalex.org/W2509494832","https://openalex.org/W1751829768","https://openalex.org/W4301802697","https://openalex.org/W2189063312"],"abstract_inverted_index":{"Current":[0],"stress":[1,24,32,86,113,152,189,200],"assessment":[2],"methods":[3],"include":[4],"self-reports":[5],"and":[6,54,88,192],"biomarkers":[7],"which":[8,44],"are":[9,174],"evaluated":[10],"in":[11],"often":[12],"complex,":[13],"laboratory":[14,85],"procedures.":[15],"Due":[16],"to":[17,48,101,106,115,144,169,199],"that":[18,58,111,150,176],"investigating":[19,42],"new":[20],"indicators":[21],"for":[22,27,84,187],"acute":[23,112],"is":[25,167],"crucial":[26],"the":[28,75,81,103,135,138,177,196],"development":[29],"of":[30,121,134,137,159],"automatic":[31,188],"detection":[33,190],"systems.":[34],"A":[35,124],"promising":[36],"extension":[37],"might":[38],"be":[39,49,183],"provided":[40],"by":[41,51],"speech,":[43],"has":[45],"been":[46],"shown":[47],"affected":[50],"negative":[52],"emotions":[53],"threatening":[55],"situations.":[56,201],"For":[57],"reason,":[59],"we":[60,146,173],"extracted":[61,179],"verbal":[62],"acoustics":[63],"from":[64,153,180],"audio":[65],"data":[66],"collected":[67],"during":[68],"a":[69,89,184],"study":[70],"where":[71],"N=21":[72],"participants":[73],"underwent":[74],"Trier":[76],"Social":[77],"Stress":[78],"Test":[79],"(TSST),":[80],"gold":[82],"standard":[83],"induction,":[87],"stress-free":[90],"control":[91],"condition":[92],"(friendly-TSST)":[93],"while":[94],"concurrently":[95],"collecting":[96],"cortisol":[97,140],"via":[98],"saliva":[99],"samples":[100],"assess":[102],"biological":[104,197],"response":[105,198],"stress.":[107],"Our":[108],"results":[109],"show":[110],"leads":[114],"significant":[116],"(p":[117],"<":[118],"0.05)":[119],"alterations":[120],"acoustic":[122],"features.":[123],"stepwise":[125],"backward":[126],"multiple":[127],"linear":[128],"regression":[129],"model":[130],"explained":[131],"58.8":[132],"%":[133],"variance":[136],"maximum":[139],"increase.":[141],"In":[142],"addition":[143],"that,":[145],"performed":[147],"classification":[148],"experiments":[149],"distinguished":[151],"non-stress":[154],"situations":[155],"with":[156],"an":[157],"accuracy":[158],"80.0":[160],"\u00b1":[161],"12.7":[162],"%.":[163],"While":[164],"further":[165],"research":[166],"needed":[168],"validate":[170],"our":[171],"approach,":[172],"convinced":[175],"information":[178],"speech":[181],"can":[182,193],"valuable":[185],"indicator":[186],"systems":[191],"even":[194],"predict":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
