{"id":"https://openalex.org/W4391096489","doi":"https://doi.org/10.1109/icecet58911.2023.10389204","title":"Identifying Duress Through Voice During Speaker Authentication","display_name":"Identifying Duress Through Voice During Speaker Authentication","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4391096489","doi":"https://doi.org/10.1109/icecet58911.2023.10389204"},"language":"en","primary_location":{"id":"doi:10.1109/icecet58911.2023.10389204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5093760885","display_name":"Ebenhaeser Janse van Rensburg","orcid":null},"institutions":[{"id":"https://openalex.org/I99712911","display_name":"Nelson Mandela University","ror":"https://ror.org/03r1jm528","country_code":"ZA","type":"education","lineage":["https://openalex.org/I99712911"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Ebenhaeser Janse van Rensburg","raw_affiliation_strings":["Nelson Mandela University,CRICS,Gqeberha,South Africa","CRICS, Nelson Mandela University, Gqeberha, South Africa"],"affiliations":[{"raw_affiliation_string":"Nelson Mandela University,CRICS,Gqeberha,South Africa","institution_ids":["https://openalex.org/I99712911"]},{"raw_affiliation_string":"CRICS, Nelson Mandela University, Gqeberha, South Africa","institution_ids":["https://openalex.org/I99712911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069760134","display_name":"Reinhardt A. Botha","orcid":"https://orcid.org/0000-0002-6176-3007"},"institutions":[{"id":"https://openalex.org/I99712911","display_name":"Nelson Mandela University","ror":"https://ror.org/03r1jm528","country_code":"ZA","type":"education","lineage":["https://openalex.org/I99712911"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Reinhardt A. Botha","raw_affiliation_strings":["Nelson Mandela University,CRICS,Gqeberha,South Africa","CRICS, Nelson Mandela University, Gqeberha, South Africa"],"affiliations":[{"raw_affiliation_string":"Nelson Mandela University,CRICS,Gqeberha,South Africa","institution_ids":["https://openalex.org/I99712911"]},{"raw_affiliation_string":"CRICS, Nelson Mandela University, Gqeberha, South Africa","institution_ids":["https://openalex.org/I99712911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016516296","display_name":"Bertram Haskins","orcid":"https://orcid.org/0000-0002-9762-7381"},"institutions":[{"id":"https://openalex.org/I99712911","display_name":"Nelson Mandela University","ror":"https://ror.org/03r1jm528","country_code":"ZA","type":"education","lineage":["https://openalex.org/I99712911"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Bertram Haskins","raw_affiliation_strings":["Nelson Mandela University,CRICS,Gqeberha,South Africa","CRICS, Nelson Mandela University, Gqeberha, South Africa"],"affiliations":[{"raw_affiliation_string":"Nelson Mandela University,CRICS,Gqeberha,South Africa","institution_ids":["https://openalex.org/I99712911"]},{"raw_affiliation_string":"CRICS, Nelson Mandela University, Gqeberha, South Africa","institution_ids":["https://openalex.org/I99712911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093760885"],"corresponding_institution_ids":["https://openalex.org/I99712911"],"apc_list":null,"apc_paid":null,"fwci":0.2612,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63004021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9955000281333923,"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":0.9865999817848206,"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/computer-science","display_name":"Computer science","score":0.8206369876861572},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6736136674880981},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.6725888252258301},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6619830131530762},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5845794677734375},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.5753957629203796},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.550189197063446},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.5169843435287476},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4998633861541748},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4890652596950531},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42510849237442017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40422630310058594},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2365221083164215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8206369876861572},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6736136674880981},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.6725888252258301},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6619830131530762},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5845794677734375},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.5753957629203796},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.550189197063446},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.5169843435287476},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4998633861541748},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4890652596950531},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42510849237442017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40422630310058594},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2365221083164215},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet58911.2023.10389204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2002311796","https://openalex.org/W2765664114","https://openalex.org/W2803193013","https://openalex.org/W2914845368","https://openalex.org/W2937328535","https://openalex.org/W2972753962","https://openalex.org/W2990961119","https://openalex.org/W2995654174","https://openalex.org/W2997399314","https://openalex.org/W3096262466","https://openalex.org/W3115994117","https://openalex.org/W3134336752","https://openalex.org/W3179469730","https://openalex.org/W4224307225","https://openalex.org/W4315815704"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2349769824","https://openalex.org/W2183964146","https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W4205685985","https://openalex.org/W4389633859","https://openalex.org/W2570625548","https://openalex.org/W4288025700"],"abstract_inverted_index":{"Biometric":[0],"authentication":[1,25],"improved":[2],"accessibility":[3],"to":[4,16,29,103],"sensitive":[5,18],"information":[6],"as":[7,37],"it":[8,33],"provided":[9],"a":[10,41,58,95,97],"faster":[11],"and":[12,83,108],"more":[13,104],"effortless":[14],"approach":[15,53],"accessing":[17],"data.":[19],"The":[20],"accuracy":[21],"of":[22,75,114],"many":[23],"biometric":[24],"approaches":[26],"was":[27,101],"enhanced":[28],"the":[30,70,90,112],"extent":[31],"that":[32],"has":[34],"become":[35],"implemented":[36],"primary":[38],"authentication.":[39],"Regrettably,":[40],"user":[42],"can":[43],"still":[44],"be":[45],"authenticated":[46],"under":[47],"duress.":[48],"This":[49],"research":[50],"suggests":[51],"an":[52],"for":[54,111],"detecting":[55],"duress":[56,68],"when":[57],"person":[59],"authenticates":[60],"themselves":[61],"using":[62],"their":[63],"voice.":[64],"To":[65],"detect":[66],"possible":[67],"within":[69],"RAVDESS":[71],"dataset,":[72],"several":[73],"combinations":[74],"feature":[76],"extraction":[77],"techniques":[78],"(MFCC,":[79],"Chroma,":[80],"Mel,":[81],"Contrast,":[82],"Tonnetz)":[84],"were":[85],"employed":[86],"in":[87],"conjunction":[88],"with":[89],"Random":[91],"Forest":[92],"classifier.":[93],"As":[94],"result,":[96],"modified":[98],"confusion":[99],"matrix":[100],"used":[102],"accurately":[105],"measure":[106],"performance":[107],"provide":[109],"context":[110],"results":[113],"emotion":[115],"detection.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
