{"id":"https://openalex.org/W4312416564","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892110","title":"Improvements in Brazilian Portuguese Speech Emotion Recognition and its extension to Latin Corpora","display_name":"Improvements in Brazilian Portuguese Speech Emotion Recognition and its extension to Latin Corpora","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312416564","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892110"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892110","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032890741","display_name":"Neelakshi Joshi","orcid":"https://orcid.org/0000-0002-4758-7035"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Neelakshi Joshi","raw_affiliation_strings":["CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","Cyber physical systems division, CTI Renato Archer, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Cyber physical systems division, CTI Renato Archer, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035277936","display_name":"Pedro Victor Vieira de Paiva","orcid":"https://orcid.org/0000-0002-3743-1985"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro V. V. Paiva","raw_affiliation_strings":["CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","Cyber physical systems division, CTI Renato Archer, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Cyber physical systems division, CTI Renato Archer, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052539387","display_name":"Murillo Rehder Batista","orcid":"https://orcid.org/0000-0002-3445-2174"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Murillo Batista","raw_affiliation_strings":["CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","Cyber physical systems division, CTI Renato Archer, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Cyber physical systems division, CTI Renato Archer, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065182514","display_name":"Marcos Vinicius Cruz","orcid":"https://orcid.org/0000-0002-4410-8510"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos V. Cruz","raw_affiliation_strings":["CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","Cyber physical systems division, CTI Renato Archer, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Cyber physical systems division, CTI Renato Archer, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070197816","display_name":"Josu\u00e9 J. G. Ramos","orcid":"https://orcid.org/0000-0002-5815-2424"},"institutions":[{"id":"https://openalex.org/I4210142333","display_name":"Centro de Tecnologia da Informa\u00e7\u00e3o Renato Archer","ror":"https://ror.org/044nfga98","country_code":"BR","type":"government","lineage":["https://openalex.org/I4210142333","https://openalex.org/I4210151455"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Josue J. G. Ramos","raw_affiliation_strings":["CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","Cyber physical systems division, CTI Renato Archer, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTI Renato Archer,Cyber physical systems division,Campinas,Brazil","institution_ids":["https://openalex.org/I4210142333"]},{"raw_affiliation_string":"Cyber physical systems division, CTI Renato Archer, Campinas, Brazil","institution_ids":["https://openalex.org/I4210142333"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142333"],"apc_list":null,"apc_paid":null,"fwci":0.5799,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69199299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9995999932289124,"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":0.9991999864578247,"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":0.7324956059455872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6763473153114319},{"id":"https://openalex.org/keywords/brazilian-portuguese","display_name":"Brazilian Portuguese","score":0.6132892370223999},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.575829803943634},{"id":"https://openalex.org/keywords/portuguese","display_name":"Portuguese","score":0.5305402874946594},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5283984541893005},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5013775825500488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4701566696166992},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4507168233394623},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4416751265525818},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.42594286799430847},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4237414002418518},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4234752655029297},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08007466793060303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324956059455872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6763473153114319},{"id":"https://openalex.org/C2778880076","wikidata":"https://www.wikidata.org/wiki/Q750553","display_name":"Brazilian Portuguese","level":3,"score":0.6132892370223999},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.575829803943634},{"id":"https://openalex.org/C35219183","wikidata":"https://www.wikidata.org/wiki/Q5146","display_name":"Portuguese","level":2,"score":0.5305402874946594},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5283984541893005},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5013775825500488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4701566696166992},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4507168233394623},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4416751265525818},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.42594286799430847},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4237414002418518},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4234752655029297},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08007466793060303},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892110","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8399999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W589698015","https://openalex.org/W1520861770","https://openalex.org/W1882685954","https://openalex.org/W2004942969","https://openalex.org/W2011301426","https://openalex.org/W2012510869","https://openalex.org/W2074788634","https://openalex.org/W2080576537","https://openalex.org/W2101234009","https://openalex.org/W2191779130","https://openalex.org/W2239141610","https://openalex.org/W2342249984","https://openalex.org/W2771169143","https://openalex.org/W2773350954","https://openalex.org/W2791361798","https://openalex.org/W2795986449","https://openalex.org/W2884225676","https://openalex.org/W2898643486","https://openalex.org/W2923871787","https://openalex.org/W2972337123","https://openalex.org/W2974743569","https://openalex.org/W2990918539","https://openalex.org/W2997399314","https://openalex.org/W3003257820","https://openalex.org/W3014201970","https://openalex.org/W3024445360","https://openalex.org/W3035965352","https://openalex.org/W3094995278","https://openalex.org/W3099878876","https://openalex.org/W3113497772","https://openalex.org/W3145643603","https://openalex.org/W4245744384","https://openalex.org/W4297804082","https://openalex.org/W6617505242","https://openalex.org/W6675354045","https://openalex.org/W6703928569","https://openalex.org/W6760599669"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W3210877509","https://openalex.org/W2961085424","https://openalex.org/W1503459176","https://openalex.org/W4225360065","https://openalex.org/W4212852473","https://openalex.org/W3200179079","https://openalex.org/W2293861590","https://openalex.org/W2079988864","https://openalex.org/W2553408784"],"abstract_inverted_index":{"Speech":[0],"emotion":[1],"recognition":[2,79,115,150,187],"(SER)":[3],"is":[4,25,45,110],"challenging,":[5],"language":[6,52],"dependent,":[7],"and,":[8],"as":[9],"with":[10,142,168],"any":[11],"supervised":[12],"learning":[13,172],"task":[14],"constrained":[15],"by":[16,183],"data":[17],"availability.":[18],"An":[19],"important":[20],"aspect":[21],"in":[22,53,98,107],"SER":[23,58,71,92],"modeling":[24],"the":[26,49,54,67,78,113,119,156,185],"selection":[27],"of":[28,48,103,136,155],"optimal":[29],"features":[30,75,145],"to":[31,65,76,105,139,146,175],"have":[32],"an":[33,101],"unbiased":[34],"approach":[35],"towards":[36,128],"recognizing":[37],"emotions":[38],"while":[39],"retaining":[40],"accuracy.":[41],"Brazilian":[42],"Portuguese":[43],"(BP)":[44],"a":[46,87,134,148,169],"dialect":[47],"6thmost":[50],"spoken":[51],"world":[55],"yet":[56],"BP":[57,70],"studies":[59],"are":[60],"scarce.":[61],"This":[62],"work":[63],"aims":[64],"explore":[66],"solely":[68],"available":[69],"database,":[72],"providing":[73],"better":[74],"increase":[77],"rate":[80,116],"for":[81],"all":[82,95,129],"emotions,":[83],"and":[84,112,164,181],"then":[85],"proposing":[86],"simple":[88],"but":[89],"robust":[90],"multi-corporal":[91,159],"model.":[93],"For":[94],"corpora":[96],"analyzed":[97],"this":[99],"work,":[100],"improvement":[102],"up":[104],"9%":[106],"mean":[108],"accuracy":[109],"achieved":[111],"obtained":[114],"indicates":[117],"that":[118],"proposed":[120,153],"feature":[121],"sets":[122],"show":[123],"comparatively":[124],"less":[125],"biased":[126],"behavior":[127],"emotions.":[130],"Also,":[131],"we":[132],"prescribe":[133],"combination":[135],"different":[137],"metrics":[138],"be":[140],"used":[141],"two":[143],"cepstral":[144],"obtain":[147],"higher":[149],"rate.":[151,188],"Our":[152],"state":[154],"art":[157],"Latin":[158],"model":[160],"contains":[161],"few":[162],"features,":[163,179],"achieves":[165],"outperforming":[166],"results":[167],"classical":[170],"machine":[171],"classifier,":[173],"compared":[174],"previously":[176],"exercised":[177],"complex":[178],"algorithms":[180],"architectures,":[182],"yielding":[184],"best":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
