{"id":"https://openalex.org/W2903673423","doi":"https://doi.org/10.1109/ictai.2018.00044","title":"A Brazilian Speech Database","display_name":"A Brazilian Speech Database","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2903673423","doi":"https://doi.org/10.1109/ictai.2018.00044","mag":"2903673423"},"language":"en","primary_location":{"id":"doi:10.1109/ictai.2018.00044","doi":"https://doi.org/10.1109/ictai.2018.00044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2018.00044","pdf_url":null,"source":{"id":"https://openalex.org/S4210176007","display_name":"IEEE International Conference on Tools with Artificial Intelligence (ICTAI)","issn_l":"1082-3409","issn":["1082-3409","2375-0197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)","raw_type":"proceedings-article"},"volume":null,"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/A5033678860","display_name":"Marco Aurelio Deoldoto Paulino","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marco A.D. Paulino","raw_affiliation_strings":["Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002078182","display_name":"Yandre M. G. Costa","orcid":"https://orcid.org/0000-0002-0630-3171","observed_orcids":["https://orcid.org/0000-0002-0630-3171"]},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yandre M.G. Costa","raw_affiliation_strings":["Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112404986","display_name":"Alceu S. Britto","orcid":"https://orcid.org/0000-0002-3064-3563","observed_orcids":["https://orcid.org/0000-0002-3064-3563"]},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu S. Britto","raw_affiliation_strings":["Postgraduate Program in Informatics, Pontifical Catholic University of Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postgraduate Program in Informatics, Pontifical Catholic University of Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000516886","display_name":"Alisson Renan Svaigen","orcid":"https://orcid.org/0000-0003-2969-554X","observed_orcids":["https://orcid.org/0000-0003-2969-554X"]},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alisson R. Svaigen","raw_affiliation_strings":["Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021632022","display_name":"Linnyer Beatrys Ruiz Aylon","orcid":"https://orcid.org/0000-0002-4456-6829","observed_orcids":["https://orcid.org/0000-0002-4456-6829"]},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Linnyer B.R. Aylon","raw_affiliation_strings":["Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038884704","display_name":"Luiz S. Oliveira","orcid":"https://orcid.org/0000-0002-0595-5370","observed_orcids":["https://orcid.org/0000-0002-0595-5370"]},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz E.S. Oliveira","raw_affiliation_strings":["Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, State University of Maring\u00e1, Maring\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3062,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59721333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9448000192642212,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9448000192642212,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.024299999698996544,"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":0.013399999588727951,"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/age-group-classification","display_name":"age group classification","score":0.7590000033378601},{"id":"https://openalex.org/keywords/gender-classification","display_name":"gender classification","score":0.996999979019165},{"id":"https://openalex.org/keywords/acoustic-characteristics","display_name":"acoustic features","score":0.8320000171661377},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.7860000133514404},{"id":"https://openalex.org/keywords/early-fusion","display_name":"feature-level fusion","score":0.7730000019073486},{"id":"https://openalex.org/keywords/decision-level-fusion","display_name":"decision fusion","score":0.953000009059906},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7839999794960022},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.8830000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382587194442749},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.708655595779419},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6913913488388062},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5924285054206848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879652500152588},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5838126540184021},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5743019580841064},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5530949234962463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5266138315200806},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.46244555711746216},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4451790153980255},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4308857321739197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27676859498023987},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictai.2018.00044","doi":"https://doi.org/10.1109/ictai.2018.00044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictai.2018.00044","pdf_url":null,"source":{"id":"https://openalex.org/S4210176007","display_name":"IEEE International Conference on Tools with Artificial Intelligence (ICTAI)","issn_l":"1082-3409","issn":["1082-3409","2375-0197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W73877600","https://openalex.org/W96961569","https://openalex.org/W247701703","https://openalex.org/W1530838232","https://openalex.org/W1562529351","https://openalex.org/W1607979445","https://openalex.org/W1680392829","https://openalex.org/W1996601463","https://openalex.org/W2039051707","https://openalex.org/W2043843997","https://openalex.org/W2073802873","https://openalex.org/W2094056275","https://openalex.org/W2101234009","https://openalex.org/W2121961612","https://openalex.org/W2129456397","https://openalex.org/W2137983211","https://openalex.org/W2148748626","https://openalex.org/W2151147242","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2158275940","https://openalex.org/W2163352848","https://openalex.org/W2204109560","https://openalex.org/W2402348207","https://openalex.org/W2578376442","https://openalex.org/W2579586206","https://openalex.org/W2584854596","https://openalex.org/W2599621350","https://openalex.org/W2620275798","https://openalex.org/W2780089456","https://openalex.org/W2783782089","https://openalex.org/W2899605173","https://openalex.org/W2980286501","https://openalex.org/W3146803896","https://openalex.org/W4226496693","https://openalex.org/W6986728531"],"related_works":["https://openalex.org/W4312416564","https://openalex.org/W2975109370","https://openalex.org/W4416744780","https://openalex.org/W3126408801","https://openalex.org/W2155041972","https://openalex.org/W2154740140","https://openalex.org/W7163057004","https://openalex.org/W3200953592","https://openalex.org/W1562217580","https://openalex.org/W7098260896"],"abstract_inverted_index":{"This":[0],"work":[1],"introduces":[2],"a":[3,8,84],"Brazilian":[4],"Speech":[5],"Database":[6],"(BrSD),":[7],"novel":[9],"dataset":[10],"freely":[11],"available":[12,41],"created":[13,38],"to":[14,42],"support":[15],"the":[16,29,43,75,88,91,105,111,134],"development":[17],"of":[18,57,87,104,110],"speech-based":[19],"recognition":[20,136,147],"tasks.":[21],"As":[22],"far":[23],"as":[24],"we":[25],"know,":[26],"this":[27],"is":[28],"first":[30],"Portuguese":[31],"language":[32],"based":[33],"database":[34],"with":[35],"these":[36],"characteristics":[37],"and":[39,63,78,107,121,141,153,159],"made":[40],"research":[44],"community.":[45],"We":[46,66,93],"also":[47],"describe":[48],"experiments":[49],"accomplished":[50],"on":[51],"BrSD":[52],"exploring":[53],"its":[54],"different":[55,96],"possibilities":[56],"classification":[58,97,161],"tasks,":[59,162],"i.e.,":[60],"age":[61,157],"group":[62],"gender":[64],"classification.":[65],"use":[67],"four":[68],"well-known":[69],"acoustic":[70],"features":[71],"extracted":[72,82],"directly":[73],"from":[74,83],"audio":[76,89],"signal":[77],"one":[79],"texture-based":[80],"feature":[81,100],"visual":[85],"representation":[86],"signal,":[90],"spectrogram.":[92],"considered":[94],"three":[95],"scenarios:":[98],"each":[99],"individually,":[101],"early":[102,140],"fusion":[103,109,143],"features,":[106],"late":[108,142],"features.":[112],"Experiments":[113],"were":[114,150],"conducted":[115],"using":[116],"Support":[117],"Vector":[118],"Machine":[119],"(SVM)":[120],"Multi-layer":[122],"Perceptron":[123],"(MLP)":[124],"classifiers.":[125],"The":[126,145],"obtained":[127],"results":[128],"showed":[129],"that":[130],"SVM":[131],"classifier":[132],"achieved":[133,149],"best":[135,146],"rates":[137,148],"both":[138],"in":[139],"scenarios.":[144],"91.25%,":[151],"88.75%,":[152],"80.25%":[154],"for":[155],"gender,":[156],"group,":[158],"age-gender":[160],"respectively.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2018-12-22T00:00:00"}
