{"id":"https://openalex.org/W2912641852","doi":"https://doi.org/10.1109/iisa.2018.8633644","title":"A Non-Linguistic Approach for Human Emotion Recognition from Speech","display_name":"A Non-Linguistic Approach for Human Emotion Recognition from Speech","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2912641852","doi":"https://doi.org/10.1109/iisa.2018.8633644","mag":"2912641852"},"language":"en","primary_location":{"id":"doi:10.1109/iisa.2018.8633644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa.2018.8633644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","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/A5101514799","display_name":"Evaggelos Spyrou","orcid":"https://orcid.org/0000-0003-2067-9949"},"institutions":[{"id":"https://openalex.org/I179161674","display_name":"Technological Educational Institute of Central Greece","ror":"https://ror.org/03ed9w591","country_code":"GR","type":"education","lineage":["https://openalex.org/I179161674"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Evaggelos Spyrou","raw_affiliation_strings":["Department of Computer Engineering, Technological Education Institute of Sterea Ellada, Lamia, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Technological Education Institute of Sterea Ellada, Lamia, Greece","institution_ids":["https://openalex.org/I179161674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019779434","display_name":"Ioannis Vernikos","orcid":"https://orcid.org/0000-0003-1554-0539"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Vernikos","raw_affiliation_strings":["Department of Computer Science, University of Thessaly, Lamia, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087010213","display_name":"Rozalia Nikopoulou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121404","display_name":"Corfu General Clinic","ror":"https://ror.org/01xn7k765","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210121404"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Rozalia Nikopoulou","raw_affiliation_strings":["Department of Informatics, Corfu, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Corfu, Greece","institution_ids":["https://openalex.org/I4210121404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061448936","display_name":"Phivos Mylonas","orcid":"https://orcid.org/0000-0002-6916-3129"},"institutions":[{"id":"https://openalex.org/I4210121404","display_name":"Corfu General Clinic","ror":"https://ror.org/01xn7k765","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210121404"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Phivos Mylonas","raw_affiliation_strings":["Department of Informatics, Corfu, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Corfu, Greece","institution_ids":["https://openalex.org/I4210121404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101514799"],"corresponding_institution_ids":["https://openalex.org/I179161674"],"apc_list":null,"apc_paid":null,"fwci":0.4354,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71603003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"46","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":0.9976000189781189,"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":0.9976000189781189,"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":0.9959999918937683,"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/T11309","display_name":"Music and Audio Processing","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250859141349792},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6291384100914001},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6060410737991333},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5643261671066284},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5297946333885193},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.529326856136322},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4889332354068756},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4578723907470703},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.446249395608902},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4329823851585388},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42821216583251953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4236701726913452},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3509816825389862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23316556215286255},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11558014154434204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250859141349792},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6291384100914001},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6060410737991333},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5643261671066284},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5297946333885193},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.529326856136322},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4889332354068756},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4578723907470703},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.446249395608902},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4329823851585388},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42821216583251953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4236701726913452},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3509816825389862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23316556215286255},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11558014154434204},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iisa.2018.8633644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa.2018.8633644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lib.uth.gr:11615/79346","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/79346","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018","raw_type":"conferenceItem"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W175750906","https://openalex.org/W211912913","https://openalex.org/W283543405","https://openalex.org/W589698015","https://openalex.org/W1575201818","https://openalex.org/W1988199485","https://openalex.org/W2002607236","https://openalex.org/W2026799997","https://openalex.org/W2032254851","https://openalex.org/W2050748687","https://openalex.org/W2061068689","https://openalex.org/W2074788634","https://openalex.org/W2075953807","https://openalex.org/W2080576537","https://openalex.org/W2087618018","https://openalex.org/W2105768069","https://openalex.org/W2107034620","https://openalex.org/W2107789863","https://openalex.org/W2119605622","https://openalex.org/W2144345993","https://openalex.org/W2147141800","https://openalex.org/W2148600927","https://openalex.org/W2149259880","https://openalex.org/W2157297238","https://openalex.org/W2158630797","https://openalex.org/W2161969291","https://openalex.org/W2163267793","https://openalex.org/W2166725142","https://openalex.org/W2171848217","https://openalex.org/W2192412620","https://openalex.org/W2321825897","https://openalex.org/W2396589722","https://openalex.org/W2597289420","https://openalex.org/W2620962372","https://openalex.org/W2751898378","https://openalex.org/W2882319491","https://openalex.org/W3141819983","https://openalex.org/W4244328908","https://openalex.org/W4297733595","https://openalex.org/W6610260454","https://openalex.org/W6617505242","https://openalex.org/W6676071220","https://openalex.org/W6712588427"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W2065606036","https://openalex.org/W2942893872"],"abstract_inverted_index":{"One":[0],"of":[1,9,15,26,77,91,98,105,144,168],"the":[2,13,16,55,88,95,102,117],"most":[3],"important":[4],"issues":[5],"in":[6,28,126],"several":[7,21],"aspects":[8],"human-computer":[10],"interaction":[11],"is":[12,41,85,114,135,174,189],"understanding":[14],"users'":[17],"emotional":[18,89],"state.":[19],"In":[20,80],"applications":[22],"such":[23],"as":[24,49],"monitoring":[25],"humans":[27,92],"assistive":[29],"living":[30],"environments,":[31],"or":[32,53,67],"assessing":[33],"students'":[34],"affective":[35],"state":[36,90],"during":[37,212],"a":[38,138,141,157,166,172,205,213],"course,":[39],"it":[40],"imperative":[42],"to":[43,50,86,137,183],"use":[44,64],"an":[45,110],"unobtrusive":[46],"method,":[47],"so":[48],"avoid":[51],"discomforting":[52],"distracting":[54],"user.":[56],"Thus,":[57],"one":[58],"should":[59],"opt":[60],"for":[61],"approaches":[62],"that":[63,113,121,197,208],"either":[65],"visual":[66,142,160,169],"audio":[68,133],"sensors":[69],"which":[70],"may":[71],"observe":[72],"users":[73],"without":[74],"any":[75],"kind":[76],"direct":[78],"contact.":[79],"this":[81,148],"work,":[82],"our":[83],"goal":[84],"recognize":[87],"using":[93,156,191],"only":[94],"non-linguistic":[96],"aspect":[97],"speech":[99,199],"information,":[100],"i.e.,":[101,140],"acoustic":[103],"properties":[104],"speech.":[106],"Therefore,":[107],"we":[108,150,162],"propose":[109],"emotion":[111],"classification":[112],"based":[115],"on":[116],"bag-of-visual":[118],"words":[119],"model":[120],"has":[122,209],"been":[123,210],"previously":[124,158],"applied":[125],"many":[127],"computer":[128],"vision":[129],"tasks.":[130],"A":[131],"given":[132],"segment":[134],"transformed":[136],"spectrogram,":[139],"representation":[143,149],"its":[145],"spectrum.":[146],"From":[147],"first":[151],"extract":[152],"SURF":[153],"features":[154],"and":[155,203],"constructed":[159,175,211],"vocabulary,":[161],"quantize":[163],"them":[164],"into":[165],"set":[167],"words.":[170],"Then":[171],"histogram":[173],"per":[176],"image;":[177],"These":[178],"feature":[179],"vectors":[180],"are":[181],"used":[182],"train":[184],"SVM":[185],"classifiers.":[186],"Our":[187],"approach":[188],"evaluated":[190],"a)":[192],"3":[193],"publicly":[194],"available":[195],"datasets":[196],"contain":[198],"from":[200],"different":[201],"languages":[202],"b)":[204],"custom":[206],"dataset":[207],"real-life":[214],"classroom":[215],"experiments,":[216],"involving":[217],"middle-school":[218],"students.":[219]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-02-21T00:00:00"}
