{"id":"https://openalex.org/W4383069721","doi":"https://doi.org/10.1007/s11042-023-15959-w","title":"EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database","display_name":"EmoMatchSpanishDB: study of speech emotion recognition machine learning models in a new Spanish elicited database","publication_year":2023,"publication_date":"2023-07-04","ids":{"openalex":"https://openalex.org/W4383069721","doi":"https://doi.org/10.1007/s11042-023-15959-w"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-023-15959-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-15959-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15959-w.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15959-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038248719","display_name":"Esteban Garc\u00eda-Cuesta","orcid":"https://orcid.org/0000-0002-1215-3333"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Esteban Garcia-Cuesta","raw_affiliation_strings":["Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Av. de Monteprincipe, S/N, Boadilla del Monte, 28660, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, Av. de Monteprincipe, S/N, Boadilla del Monte, 28660, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027558048","display_name":"Antonio Barba","orcid":"https://orcid.org/0000-0001-8013-7450"},"institutions":[{"id":"https://openalex.org/I904013037","display_name":"Universidad Europea de Madrid","ror":"https://ror.org/04dp46240","country_code":"ES","type":"education","lineage":["https://openalex.org/I904013037"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Barba Salvador","raw_affiliation_strings":["Departamento de Ciencia Y Computaci\u00f3n, Universidad Europea de Madrid, C/Tajo S/N, Villaviciosa de Od\u00f3n, 28670, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Ciencia Y Computaci\u00f3n, Universidad Europea de Madrid, C/Tajo S/N, Villaviciosa de Od\u00f3n, 28670, Madrid, Spain","institution_ids":["https://openalex.org/I904013037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056273769","display_name":"Diego Gachet P\u00e1ez","orcid":"https://orcid.org/0000-0001-6578-2275"},"institutions":[{"id":"https://openalex.org/I232005693","display_name":"Universidad Francisco de Vitoria","ror":"https://ror.org/03ha64j07","country_code":"ES","type":"education","lineage":["https://openalex.org/I232005693"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Diego Gachet P\u00e3ez","raw_affiliation_strings":["Departmento de Autom\u00e3tica, Universidad Francisco de Vitoria, Av de Majadahonda S/N, Madrid, 28223, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departmento de Autom\u00e3tica, Universidad Francisco de Vitoria, Av de Majadahonda S/N, Madrid, 28223, Madrid, Spain","institution_ids":["https://openalex.org/I232005693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038248719"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":2.8812,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91985294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"83","issue":"5","first_page":"13093","last_page":"13112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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":0.9976999759674072,"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/disgust","display_name":"Disgust","score":0.81700199842453},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.8164327144622803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7898203730583191},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.7302098274230957},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.6200255155563354},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.6134116053581238},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5169567465782166},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5153164863586426},{"id":"https://openalex.org/keywords/happiness","display_name":"Happiness","score":0.5063275098800659},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46252188086509705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4563572406768799},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3820687234401703},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37258055806159973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3562948703765869},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.2249923050403595},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.178786963224411},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14662232995033264},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07464006543159485}],"concepts":[{"id":"https://openalex.org/C2777375102","wikidata":"https://www.wikidata.org/wiki/Q208351","display_name":"Disgust","level":3,"score":0.81700199842453},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.8164327144622803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898203730583191},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7302098274230957},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.6200255155563354},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.6134116053581238},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5169567465782166},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5153164863586426},{"id":"https://openalex.org/C2778999518","wikidata":"https://www.wikidata.org/wiki/Q8","display_name":"Happiness","level":2,"score":0.5063275098800659},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46252188086509705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4563572406768799},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3820687234401703},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37258055806159973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3562948703765869},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2249923050403595},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.178786963224411},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14662232995033264},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07464006543159485},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11042-023-15959-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-15959-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15959-w.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},{"id":"pmh:oai:ddfv.ufv.es:10641/4118","is_oa":true,"landing_page_url":"https://hdl.handle.net/10641/4118","pdf_url":"https://ddfv.ufv.es/bitstreams/c58d8814-05de-43b6-a0aa-6ddd62911618/download","source":{"id":"https://openalex.org/S4306401997","display_name":"Deposito Digital UFV (Francisco de Vitoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I232005693","host_organization_name":"Universidad Francisco de Vitoria","host_organization_lineage":["https://openalex.org/I232005693"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11042-023-15959-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-023-15959-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-023-15959-w.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8105707671","display_name":null,"funder_award_id":"2019/UEM60","funder_id":"https://openalex.org/F4320319251","funder_display_name":"Universidad Europea de Madrid"}],"funders":[{"id":"https://openalex.org/F4320319251","display_name":"Universidad Europea de Madrid","ror":"https://ror.org/04dp46240"},{"id":"https://openalex.org/F4320322138","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4383069721.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W68831505","https://openalex.org/W175750906","https://openalex.org/W1568263921","https://openalex.org/W1989600987","https://openalex.org/W2026984028","https://openalex.org/W2033446788","https://openalex.org/W2038936610","https://openalex.org/W2059373137","https://openalex.org/W2059504896","https://openalex.org/W2061068689","https://openalex.org/W2080440460","https://openalex.org/W2083569984","https://openalex.org/W2096618631","https://openalex.org/W2107460374","https://openalex.org/W2112019242","https://openalex.org/W2123119128","https://openalex.org/W2125324924","https://openalex.org/W2141538250","https://openalex.org/W2191779130","https://openalex.org/W2239141610","https://openalex.org/W2337714138","https://openalex.org/W2397302540","https://openalex.org/W2480912502","https://openalex.org/W2513507089","https://openalex.org/W2577932382","https://openalex.org/W2617164621","https://openalex.org/W2618546910","https://openalex.org/W2784665486","https://openalex.org/W2796430037","https://openalex.org/W2884225676","https://openalex.org/W2910165986","https://openalex.org/W2915760784","https://openalex.org/W2921623814","https://openalex.org/W3013686035","https://openalex.org/W3036857024","https://openalex.org/W4230277160","https://openalex.org/W4390926541"],"related_works":["https://openalex.org/W4238520549","https://openalex.org/W3216173459","https://openalex.org/W2794357331","https://openalex.org/W4242611441","https://openalex.org/W4242034606","https://openalex.org/W4402346481","https://openalex.org/W2037174948","https://openalex.org/W2945121592","https://openalex.org/W4308769266","https://openalex.org/W4388134110"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,48],"paper":[3],"we":[4,86,123,161],"present":[5,124],"a":[6,125],"new":[7],"speech":[8],"emotion":[9,72,115],"dataset":[10],"on":[11],"Spanish.":[12],"The":[13,64,93,106,148],"database":[14,49],"is":[15,22],"created":[16,52],"using":[17],"an":[18],"elicited":[19],"approach":[20],"and":[21,39,78,91,143,159],"composed":[23],"by":[24],"fifty":[25],"non-actors":[26],"expressing":[27],"the":[28,54,58,71,103,119,133,154,165,171],"Ekman\u2019s":[29],"six":[30],"basic":[31],"emotions":[32],"of":[33,73,132,140,173],"anger,":[34],"disgust,":[35],"fear,":[36],"happiness,":[37],"sadness,":[38],"surprise,":[40],"plus":[41],"neutral":[42],"tone.":[43],"This":[44],"article":[45],"describes":[46],"how":[47],"has":[50,66],"been":[51],"from":[53,109],"recording":[55],"step":[56],"to":[57,68,80,163],"performed":[59],"crowdsourcing":[60,65,104],"perception":[61],"test":[62],"step.":[63],"facilitated":[67],"statistically":[69],"validate":[70],"each":[74],"collected":[75],"audio":[76],"sample":[77],"also":[79,116],"filter":[81],"noisy":[82],"data":[83],"samples.":[84],"Hence":[85],"obtained":[87,150,156],"two":[88],"datasets":[89],"EmoSpanishDB":[90,110,158],"EmoMatchSpanishDB.":[92],"first":[94],"includes":[95],"those":[96,112],"recorded":[97],"audios":[98,113],"that":[99,167],"had":[100],"consensus":[101],"during":[102],"process.":[105],"second":[107],"selects":[108],"only":[111],"whose":[114],"matches":[117],"with":[118],"originally":[120],"elicited.":[121],"Last,":[122],"baseline":[126],"comparative":[127],"study":[128],"between":[129],"different":[130],"state":[131],"art":[134],"machine":[135],"learning":[136],"techniques":[137],"in":[138],"terms":[139],"accuracy,":[141],"precision,":[142],"recall":[144],"for":[145,151,157,170],"both":[146],"datasets.":[147],"results":[149],"EmoMatchSpanishDB":[152],"improves":[153],"ones":[155],"thereof,":[160],"recommend":[162],"follow":[164],"methodology":[166],"was":[168],"used":[169],"creation":[172],"emotional":[174],"databases.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-09T07:27:16.801131","created_date":"2025-10-10T00:00:00"}
