{"id":"https://openalex.org/W2997510720","doi":"https://doi.org/10.1109/icfsp48124.2019.8938073","title":"OCAE: Organization-Controlled Autoencoder for Unsupervised Speech Emotion Analysis","display_name":"OCAE: Organization-Controlled Autoencoder for Unsupervised Speech Emotion Analysis","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2997510720","doi":"https://doi.org/10.1109/icfsp48124.2019.8938073","mag":"2997510720"},"language":"en","primary_location":{"id":"doi:10.1109/icfsp48124.2019.8938073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp48124.2019.8938073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","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/A5100656646","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0002-2861-6216"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["FAST, CNRS, IETR, UMR 6164, CentraleSup\u00e9lec, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FAST, CNRS, IETR, UMR 6164, CentraleSup\u00e9lec, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027774712","display_name":"Catherine Soladi\u00e9","orcid":"https://orcid.org/0000-0002-1694-4706"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catherine Soladie","raw_affiliation_strings":["FAST, CNRS, IETR, UMR 6164, CentraleSup\u00e9lec, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FAST, CNRS, IETR, UMR 6164, CentraleSup\u00e9lec, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I4210107720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040347439","display_name":"Renaud S\u00e9guier","orcid":"https://orcid.org/0000-0001-7199-7563"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud Seguier","raw_affiliation_strings":["FAST, CNRS, IETR, UMR 6164, CentraleSup\u00e9lec, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FAST, CNRS, IETR, UMR 6164, CentraleSup\u00e9lec, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I4210107720"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.626,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71437365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"76"},"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/T11309","display_name":"Music and Audio Processing","score":0.9969000220298767,"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/T10860","display_name":"Speech and Audio Processing","score":0.991100013256073,"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/autoencoder","display_name":"Autoencoder","score":0.9779977798461914},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7598655223846436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6731266379356384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5965761542320251},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5660199522972107},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5283428430557251},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46039289236068726},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4153205156326294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36524176597595215},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36398306488990784},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35254043340682983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13182058930397034}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9779977798461914},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7598655223846436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731266379356384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5965761542320251},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5660199522972107},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5283428430557251},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46039289236068726},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4153205156326294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36524176597595215},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36398306488990784},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35254043340682983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13182058930397034},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icfsp48124.2019.8938073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp48124.2019.8938073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 5th International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.550000011920929},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G5993264858","display_name":"Emotional Facial and Linguistics feedback, and Post-Traumatic Stress States","funder_award_id":"ANR-17-CE19-0020","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W175750906","https://openalex.org/W884323974","https://openalex.org/W1501669607","https://openalex.org/W2001097956","https://openalex.org/W2008056655","https://openalex.org/W2064641533","https://openalex.org/W2066064791","https://openalex.org/W2085662862","https://openalex.org/W2100495367","https://openalex.org/W2102953093","https://openalex.org/W2111926505","https://openalex.org/W2132555391","https://openalex.org/W2135195345","https://openalex.org/W2136873765","https://openalex.org/W2143350951","https://openalex.org/W2153825604","https://openalex.org/W2232901134","https://openalex.org/W2294798173","https://openalex.org/W2399733683","https://openalex.org/W2407349954","https://openalex.org/W2502232300","https://openalex.org/W2512449761","https://openalex.org/W2589599921","https://openalex.org/W2625297138","https://openalex.org/W2751214333","https://openalex.org/W2888683367","https://openalex.org/W2889342907","https://openalex.org/W2949421431","https://openalex.org/W2963087613","https://openalex.org/W2963131709"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4306309289","https://openalex.org/W2806873178","https://openalex.org/W2770818364","https://openalex.org/W2965146396","https://openalex.org/W4312416532"],"abstract_inverted_index":{"One":[0],"of":[1,12,58,89,98,105,123,132,142],"the":[2,10,53,87,96,99,102,113,121,124,133],"severe":[3],"obstacles":[4],"to":[5,21,29,36,46,80,94,112,129],"speech":[6,15,92],"emotion":[7],"analysis":[8],"is":[9,24,161],"lack":[11],"reasonable":[13],"labelled":[14],"signal.":[16],"Thus,":[17],"an":[18,26,82,109,158],"important":[19],"issue":[20],"be":[22,47],"considered":[23],"applying":[25],"unsupervised":[27,70,159],"method":[28],"generate":[30],"a":[31,40,68],"representation":[32,41,57,155],"in":[33,101,157],"low":[34],"dimension":[35],"analyze":[37],"emotions.":[38],"Such":[39],"coming":[42],"from":[43],"data":[44,100],"needs":[45],"stable":[48],"and":[49,149,163],"meaningful,":[50],"just":[51],"like":[52],"2D":[54],"or":[55],"3D":[56],"emotions":[59],"elaborated":[60],"by":[61],"psychology.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,138],"propose":[67],"fully":[69],"approach,":[71],"called":[72],"Organization-Controlled":[73],"AutoEncoder":[74],"(OCAE),":[75],"combining":[76,136],"autoencoder":[77,127],"with":[78],"PCA":[79,90,118],"build":[81],"emotional":[83],"representation.":[84],"We":[85],"utilize":[86],"result":[88],"on":[91,147],"features":[93],"control":[95],"organization":[97,110,122],"latent":[103],"space":[104],"autoencoder,":[106],"through":[107],"adding":[108],"loss":[111],"classical":[114],"objective":[115],"function.":[116],"Indeed,":[117],"can":[119,139],"keep":[120],"data,":[125],"whereas":[126],"leads":[128],"better":[130],"discrimination":[131],"data.":[134],"By":[135],"both,":[137],"take":[140],"advantage":[141],"each":[143],"method.":[144],"The":[145],"results":[146],"Emo-DB":[148],"SEMAINE":[150],"database":[151],"show":[152],"that":[153],"our":[154],"generated":[156],"manner":[160],"meaningful":[162],"stable.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}