{"id":"https://openalex.org/W2086794592","doi":"https://doi.org/10.1145/2663204.2666284","title":"Speaker- and Corpus-Independent Methods for Affect Classification in Computational Paralinguistics","display_name":"Speaker- and Corpus-Independent Methods for Affect Classification in Computational Paralinguistics","publication_year":2014,"publication_date":"2014-11-12","ids":{"openalex":"https://openalex.org/W2086794592","doi":"https://doi.org/10.1145/2663204.2666284","mag":"2086794592"},"language":"en","primary_location":{"id":"doi:10.1145/2663204.2666284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2663204.2666284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Multimodal Interaction","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/A5050585145","display_name":"Heysem Kaya","orcid":"https://orcid.org/0000-0001-7947-5508"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Heysem Kaya","raw_affiliation_strings":["Bo\u011fazi\u00e7i University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bo\u011fazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050585145"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1424632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"363"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9908000230789185,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9908000230789185,"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/T10057","display_name":"Face and Expression Recognition","score":0.9850000143051147,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.97079998254776,"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":0.7651126384735107},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.6957179307937622},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5853273272514343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5723609924316406},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5631208419799805},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5603101849555969},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5257400274276733},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48671725392341614},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4753318130970001},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4721237123012543},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4550805985927582},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4446335434913635},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.43621814250946045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3785988688468933},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09575793147087097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651126384735107},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.6957179307937622},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5853273272514343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5723609924316406},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5631208419799805},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5603101849555969},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5257400274276733},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48671725392341614},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4753318130970001},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4721237123012543},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4550805985927582},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4446335434913635},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.43621814250946045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3785988688468933},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09575793147087097},{"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:10.1145/2663204.2666284","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2663204.2666284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1664176845","display_name":null,"funder_award_id":"B\u00bfDEB-2211","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W371386069","https://openalex.org/W1506806321","https://openalex.org/W1662191912","https://openalex.org/W1663973292","https://openalex.org/W1964920275","https://openalex.org/W1970018011","https://openalex.org/W1976066595","https://openalex.org/W1988088279","https://openalex.org/W1992227055","https://openalex.org/W2009391063","https://openalex.org/W2009486233","https://openalex.org/W2015245929","https://openalex.org/W2027192823","https://openalex.org/W2034230784","https://openalex.org/W2046319788","https://openalex.org/W2049633694","https://openalex.org/W2056403322","https://openalex.org/W2064866219","https://openalex.org/W2102505790","https://openalex.org/W2111072639","https://openalex.org/W2114217318","https://openalex.org/W2114759290","https://openalex.org/W2121323129","https://openalex.org/W2125462608","https://openalex.org/W2134603844","https://openalex.org/W2144005487","https://openalex.org/W2146610201","https://openalex.org/W2183984601","https://openalex.org/W2184421965","https://openalex.org/W2295127282","https://openalex.org/W6629510986","https://openalex.org/W7010600474"],"related_works":["https://openalex.org/W1565185441","https://openalex.org/W1968846550","https://openalex.org/W302711736","https://openalex.org/W2313359725","https://openalex.org/W2375550484","https://openalex.org/W2619932150","https://openalex.org/W3134705486","https://openalex.org/W4241742979","https://openalex.org/W2144490279","https://openalex.org/W1560125148"],"abstract_inverted_index":{"The":[0],"analysis":[1,54],"of":[2,6,48,55,65,76,82,108,127],"spoken":[3],"emotions":[4],"is":[5,111],"increasing":[7],"interest":[8],"in":[9,13],"human":[10],"computer":[11],"interaction,":[12],"order":[14],"to":[15,33,41],"drive":[16],"the":[17,46,53,77,120],"machine":[18],"communication":[19],"into":[20],"a":[21,73,124],"humane":[22],"manner.":[23],"It":[24],"has":[25],"manifold":[26],"applications":[27],"ranging":[28],"from":[29,37],"intelligent":[30],"tutoring":[31],"systems":[32],"affect":[34],"sensitive":[35],"robots,":[36],"smart":[38],"call":[39],"centers":[40],"patient":[42],"telemonitoring.":[43],"In":[44,70],"general":[45],"study":[47,85],"computational":[49],"paralinguistics,":[50],"which":[51],"covers":[52],"speaker":[56],"states":[57],"and":[58,67,79],"traits,":[59],"faces":[60],"with":[61],"real":[62],"life":[63],"challenges":[64,97],"inter-speaker":[66],"inter-corpus":[68],"variability.":[69],"this":[71],"paper,":[72],"brief":[74],"summary":[75],"progress":[78],"future":[80],"directions":[81],"my":[83],"PhD":[84],"titled":[86],"Adaptive":[87],"Mixture":[88,107],"Models":[89],"for":[90,106,113],"Speech":[91],"Emotion":[92],"Recognition":[93],"that":[94],"targets":[95],"these":[96],"are":[98,139],"given.":[99],"An":[100],"automatic":[101],"mixture":[102],"model":[103],"selection":[104,132],"method":[105,123],"Factor":[109],"Analyzers":[110],"proposed":[112],"modeling":[114],"high":[115],"dimensional":[116],"data.":[117],"To":[118],"provide":[119],"mentioned":[121],"statistical":[122],"compact":[125],"set":[126],"potent":[128],"features,":[129],"novel":[130],"feature":[131],"methods":[133],"based":[134],"on":[135],"Canonical":[136],"Correlation":[137],"Analysis":[138],"introduced.":[140]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
