{"id":"https://openalex.org/W1964935226","doi":"https://doi.org/10.1145/1877826.1877831","title":"RANSAC-based training data selection for emotion recognition from spontaneous speech","display_name":"RANSAC-based training data selection for emotion recognition from spontaneous speech","publication_year":2010,"publication_date":"2010-10-29","ids":{"openalex":"https://openalex.org/W1964935226","doi":"https://doi.org/10.1145/1877826.1877831","mag":"1964935226"},"language":"en","primary_location":{"id":"doi:10.1145/1877826.1877831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1877826.1877831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international workshop on Affective interaction in natural environments","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/A5041929046","display_name":"\u00c7i\u011fdem Ero\u011flu Erdem","orcid":"https://orcid.org/0000-0002-9264-5652"},"institutions":[{"id":"https://openalex.org/I128277893","display_name":"Bah\u00e7e\u015fehir University","ror":"https://ror.org/00yze4d93","country_code":"TR","type":"education","lineage":["https://openalex.org/I128277893"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cigdem Eroglu Erdem","raw_affiliation_strings":["Bahcesehir University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bahcesehir University, Istanbul, Turkey","institution_ids":["https://openalex.org/I128277893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102758715","display_name":"Elif Bozkurt","orcid":null},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Elif Bozkurt","raw_affiliation_strings":["Koc University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Koc University, Istanbul, Turkey","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064993025","display_name":"Engin Erzin","orcid":"https://orcid.org/0000-0002-2715-2368"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Engin Erzin","raw_affiliation_strings":["Koc University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Koc University, Istanbul, Turkey","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042818884","display_name":"A. Tanju Erdem","orcid":"https://orcid.org/0000-0002-8841-1642"},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Tanju Erdem","raw_affiliation_strings":["Ozyegin University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ozyegin University, Istanbul, Turkey","institution_ids":["https://openalex.org/I44925452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0861,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76049815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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":0.9987999796867371,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9970999956130981,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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/ransac","display_name":"RANSAC","score":0.7151718735694885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102276682853699},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6692978739738464},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.601563572883606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5850145816802979},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5643849968910217},{"id":"https://openalex.org/keywords/mcnemars-test","display_name":"McNemar's test","score":0.559754490852356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.512999951839447},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4666194021701813},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46599116921424866},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.46517229080200195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44852370023727417},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.44119566679000854},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.422341525554657},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3284459114074707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18056735396385193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15828725695610046}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.7151718735694885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102276682853699},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6692978739738464},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.601563572883606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5850145816802979},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5643849968910217},{"id":"https://openalex.org/C186282968","wikidata":"https://www.wikidata.org/wiki/Q1434261","display_name":"McNemar's test","level":2,"score":0.559754490852356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.512999951839447},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4666194021701813},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46599116921424866},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.46517229080200195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44852370023727417},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.44119566679000854},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.422341525554657},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3284459114074707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18056735396385193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15828725695610046},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1877826.1877831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1877826.1877831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international workshop on Affective interaction in natural environments","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.5359","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.5359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://staff.eng.bahcesehir.edu.tr/%7Ecigdemeroglu/papers/international_conference_papers/C_10_ACM_AFFINE.pdf","raw_type":"text"},{"id":"pmh:oai:eresearch.ozyegin.edu.tr:10679/2048","is_oa":false,"landing_page_url":"http://hdl.handle.net/10679/2048","pdf_url":null,"source":{"id":"https://openalex.org/S4306400232","display_name":"ECS Journal of Solid State Science and Technology (The Electrochemical Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802273670","host_organization_name":"Electrochemical Society","host_organization_lineage":["https://openalex.org/I2802273670"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W12004675","https://openalex.org/W131248265","https://openalex.org/W1501669607","https://openalex.org/W1572720249","https://openalex.org/W1591052160","https://openalex.org/W2053744138","https://openalex.org/W2085261163","https://openalex.org/W2097476490","https://openalex.org/W2116044718","https://openalex.org/W2127452375","https://openalex.org/W2167277498","https://openalex.org/W2293879901","https://openalex.org/W2487087946","https://openalex.org/W2912934387","https://openalex.org/W6697253385"],"related_works":["https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2033669961","https://openalex.org/W2971899271","https://openalex.org/W1972167985","https://openalex.org/W209733029","https://openalex.org/W3019226033"],"abstract_inverted_index":{"Training":[0],"datasets":[1],"containing":[2],"spontaneous":[3,41],"emotional":[4],"expressions":[5],"are":[6],"often":[7],"imperfect":[8],"due":[9],"the":[10,35,54,58,64,77,100,111,116,123,126],"ambiguities":[11],"and":[12,89],"difficulties":[13],"of":[14,37,57,66,71,87,97,106,125],"labeling":[15],"such":[16],"data":[17,50],"by":[18],"human":[19],"observers.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"present":[25],"a":[26,49],"Random":[27],"Sampling":[28],"Consensus":[29],"(RANSAC)":[30],"based":[31],"training":[32,55,78,101],"approach":[33],"for":[34,63],"problem":[36],"emotion":[38],"recognition":[39],"from":[40],"speech":[42],"recordings.":[43],"Our":[44,80],"motivation":[45],"is":[46,128],"to":[47,53,108,130],"insert":[48],"cleaning":[51],"process":[52],"phase":[56,102],"Hidden":[59],"Markov":[60],"Models":[61],"(HMMs)":[62],"purpose":[65],"removing":[67],"some":[68],"suspicious":[69],"instances":[70],"labels":[72],"that":[73,95],"may":[74],"exist":[75],"in":[76,99,110,122],"dataset.":[79],"experiments":[81],"using":[82,134],"HMMs":[83],"with":[84],"various":[85],"number":[86],"states":[88],"Gaussian":[90],"mixtures":[91],"per":[92],"state":[93],"indicate":[94],"utilization":[96],"RANSAC":[98],"provides":[103],"an":[104],"improvement":[105,121],"up":[107],"2.84%":[109],"unweighted":[112],"recall":[113],"rates":[114],"on":[115],"test":[117],"set.":[118],".":[119],"This":[120],"accuracy":[124],"classifier":[127],"shown":[129],"be":[131],"statistically":[132],"significant":[133],"McNemar's":[135],"test.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}