{"id":"https://openalex.org/W2969617523","doi":"https://doi.org/10.1109/icsda.2017.8384453","title":"Feature selection method for real-time speech emotion recognition","display_name":"Feature selection method for real-time speech emotion recognition","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2969617523","doi":"https://doi.org/10.1109/icsda.2017.8384453","mag":"2969617523"},"language":"en","primary_location":{"id":"doi:10.1109/icsda.2017.8384453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsda.2017.8384453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)","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/A5084767930","display_name":"Reda Elbarougy","orcid":"https://orcid.org/0000-0003-2008-1859"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Reda Elbarougy","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055059119","display_name":"Masato Akagi","orcid":"https://orcid.org/0000-0003-2450-6754"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Akagi","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084767930"],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":null,"apc_paid":null,"fwci":0.4684,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73365394,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9983000159263611,"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":0.9983000159263611,"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/T10057","display_name":"Face and Expression Recognition","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.979200005531311,"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/feature-selection","display_name":"Feature selection","score":0.7427899241447449},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.66696697473526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588306427001953},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5687559247016907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.550794243812561},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5331097841262817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5236777663230896},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47868281602859497},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.4646793007850647},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.45959433913230896},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4298032820224762},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42907002568244934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2139185667037964}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7427899241447449},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.66696697473526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588306427001953},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5687559247016907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.550794243812561},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5331097841262817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5236777663230896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47868281602859497},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.4646793007850647},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.45959433913230896},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4298032820224762},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42907002568244934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2139185667037964},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":2,"locations":[{"id":"doi:10.1109/icsda.2017.8384453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsda.2017.8384453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA)","raw_type":"proceedings-article"},{"id":"pmh:oai:dspace.jaist.ac.jp:10119/16100","is_oa":false,"landing_page_url":"http://hdl.handle.net/10119/16100","pdf_url":null,"source":{"id":"https://openalex.org/S4406922663","display_name":"JAIST Repository","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W179271164","https://openalex.org/W1541214068","https://openalex.org/W1968001738","https://openalex.org/W1969443802","https://openalex.org/W1987048275","https://openalex.org/W2002268800","https://openalex.org/W2058819080","https://openalex.org/W2066090536","https://openalex.org/W2077644276","https://openalex.org/W2081420711","https://openalex.org/W2095378392","https://openalex.org/W2158630797","https://openalex.org/W2169166781","https://openalex.org/W2537747873","https://openalex.org/W4244701190","https://openalex.org/W6607266675","https://openalex.org/W6728619306"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W4380081032"],"abstract_inverted_index":{"Feature":[0],"selection":[1,65,101,155,172,233],"is":[2,60],"very":[3],"important":[4],"step":[5],"to":[6,48,61,71,202,213,222],"improve":[7],"the":[8,35,69,82,87,132,140,153,215,230,236],"accuracy":[9],"of":[10,23,45,57,86,120,161,193,217],"speech":[11,29],"emotion":[12,204],"recognition":[13],"for":[14,38,99],"many":[15],"applications":[16],"such":[17],"as":[18,98,107],"speech-to-speech":[19],"translation":[20],"system.":[21],"Thousands":[22],"features":[24,33,47,75,95,124,133,165,188,232],"can":[25,130,146,185],"be":[26,147],"extracted":[27],"from":[28],"signal":[30],"however":[31],"which":[32,67,134,189],"are":[34,51],"most":[36,44,73],"related":[37,46,74],"speaker":[39],"emotional":[40,49,83,126,167,223],"state.":[41,84,127,168],"Until":[42],"now":[43],"states":[50],"not":[52,116],"yet":[53],"found.":[54],"The":[55,182,225],"purpose":[56],"this":[58],"paper":[59],"propose":[62],"a":[63,108,136,170],"feature":[64,100,109,154,171],"method":[66,156,173,184,234],"have":[68,135,190],"ability":[70],"find":[72,131,186],"with":[76,81],"linear":[77,137],"or":[78,102,150],"non-linear":[79],"relationship":[80,141,162],"Most":[85],"previous":[88],"studies":[89],"used":[90,201,212],"either":[91],"correlation":[92],"between":[93,122,142,163],"acoustic":[94,123,164],"and":[96,125,166,207,220],"emotions":[97],"principal":[103],"component":[104],"analysis":[105],"(PCA)":[106],"reduction":[110],"method.":[111],"These":[112],"traditional":[113,237],"methods":[114],"does":[115],"reflect":[117],"all":[118,187],"types":[119],"relations":[121],"They":[128],"only":[129],"relationship.":[138],"However,":[139],"any":[143,191],"two":[144],"variables":[145],"linear,":[148],"nonlinear":[149],"fuzzy.":[151],"Therefore,":[152,169],"should":[157],"consider":[158],"these":[159],"kind":[160,192],"based":[174],"on":[175],"fuzzy":[176],"inference":[177],"system":[178],"(FIS)":[179],"was":[180,200,211],"proposed.":[181],"proposed":[183,231],"above":[194],"mentioned":[195],"relationships.":[196],"Then":[197],"A":[198],"FIS":[199,210],"estimate":[203],"dimensions":[205],"valence":[206,219],"activations.":[208],"Third":[209],"map":[214],"values":[216],"estimated":[218],"activation":[221],"category.":[224],"experimental":[226],"results":[227],"reveal":[228],"that":[229],"outperforms":[235],"methods.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}