{"id":"https://openalex.org/W2072768095","doi":"https://doi.org/10.1145/2663204.2666276","title":"Enhanced Autocorrelation in Real World Emotion Recognition","display_name":"Enhanced Autocorrelation in Real World Emotion Recognition","publication_year":2014,"publication_date":"2014-11-12","ids":{"openalex":"https://openalex.org/W2072768095","doi":"https://doi.org/10.1145/2663204.2666276","mag":"2072768095"},"language":"en","primary_location":{"id":"doi:10.1145/2663204.2666276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2663204.2666276","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":"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/A5023898362","display_name":"Sascha Meudt","orcid":null},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sascha Meudt","raw_affiliation_strings":["University of Ulm, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"University of Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078096723","display_name":"Friedhelm Schwenker","orcid":"https://orcid.org/0000-0001-5118-0812"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedhelm Schwenker","raw_affiliation_strings":["University of Ulm, Ulm, Germany"],"affiliations":[{"raw_affiliation_string":"University of Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023898362"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":null,"apc_paid":null,"fwci":1.8666,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.853999,"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":"502","last_page":"507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9939000010490417,"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":0.9909999966621399,"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/computer-science","display_name":"Computer science","score":0.7427955865859985},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6578037738800049},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6410074830055237},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6096410155296326},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5925652980804443},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5615191459655762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5205113291740417},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.5062481760978699},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4785331189632416},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4766876697540283},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46483445167541504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45608609914779663},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3867340683937073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3322395086288452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0722379982471466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427955865859985},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6578037738800049},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6410074830055237},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6096410155296326},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5925652980804443},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5615191459655762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5205113291740417},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.5062481760978699},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4785331189632416},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4766876697540283},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46483445167541504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45608609914779663},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3867340683937073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3322395086288452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0722379982471466},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2663204.2666276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2663204.2666276","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":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W15066456","https://openalex.org/W29612862","https://openalex.org/W119965371","https://openalex.org/W156836385","https://openalex.org/W175750906","https://openalex.org/W564489870","https://openalex.org/W1483662103","https://openalex.org/W1503849489","https://openalex.org/W1553799180","https://openalex.org/W1572072579","https://openalex.org/W1598936229","https://openalex.org/W1651753422","https://openalex.org/W1668904664","https://openalex.org/W1897037354","https://openalex.org/W1923034539","https://openalex.org/W1964920275","https://openalex.org/W1965064244","https://openalex.org/W1981918162","https://openalex.org/W1992227055","https://openalex.org/W2004503338","https://openalex.org/W2009674825","https://openalex.org/W2032254851","https://openalex.org/W2080830759","https://openalex.org/W2095420030","https://openalex.org/W2100643000","https://openalex.org/W2118911453","https://openalex.org/W2125127226","https://openalex.org/W2130162821","https://openalex.org/W2149095746","https://openalex.org/W2153597356","https://openalex.org/W2178864591","https://openalex.org/W2186446752","https://openalex.org/W2197960846","https://openalex.org/W2251371553","https://openalex.org/W2276509920","https://openalex.org/W2287807828","https://openalex.org/W2400615088","https://openalex.org/W2400979883","https://openalex.org/W4210993929","https://openalex.org/W6606423415","https://openalex.org/W6637112759","https://openalex.org/W6639179007","https://openalex.org/W6675179900","https://openalex.org/W6687293602"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W747394405"],"abstract_inverted_index":{"Multimodal":[0],"emotion":[1,48],"recognition":[2],"in":[3,46,70,132,150,165],"real":[4,71,167],"world":[5,72,168],"environments":[6],"is":[7,25,41,74,82,86],"still":[8],"a":[9,100,117],"challenging":[10],"task":[11],"of":[12,22,79,104,138,152,159],"affective":[13,18],"computing":[14],"research.":[15],"Recognizing":[16],"the":[17,42,51,77,90,139,143,153,176],"or":[19,58],"physiological":[20],"state":[21],"an":[23,112],"individual":[24],"difficult":[26,75],"for":[27,32],"humans":[28],"as":[29,31,116],"well":[30,101,128],"computer":[33],"systems,":[34],"and":[35,76,122,130,134,175,179],"thus":[36],"finding":[37],"suitable":[38],"discriminative":[39],"features":[40,54,149],"most":[43],"promising":[44],"approach":[45],"multimodal":[47],"recognition.":[49],"In":[50,107],"literature":[52],"numerous":[53],"have":[55],"been":[56],"developed":[57],"adapted":[59],"from":[60],"related":[61],"signal":[62,133],"processing":[63],"tasks.":[64],"But":[65],"still,":[66],"classifying":[67],"emotional":[68,93,173,182],"states":[69,94],"scenarios":[73],"performance":[78,125],"automatic":[80],"classifiers":[81],"rather":[83],"limited.":[84],"This":[85],"mainly":[87],"due":[88],"to":[89,126],"fact":[91],"that":[92,142],"can":[95],"not":[96],"be":[97],"distinguished":[98],"by":[99],"defined":[102],"set":[103,163],"discriminating":[105],"features.":[106],"this":[108,160],"work":[109],"we":[110],"present":[111],"enhanced":[113,144],"autocorrelation":[114,145],"feature":[115,121,127],"multi":[118],"pitch":[119],"detection":[120],"compare":[123],"its":[124],"known,":[129],"state-of-the-art":[131,148],"speech":[135],"processing.":[136],"Results":[137],"evaluation":[140],"show":[141],"outperform":[146],"other":[147],"case":[151],"challenge":[154],"data":[155,162,169,183],"set.":[156],"The":[157],"complexity":[158],"benchmark":[161],"lies":[164],"between":[166],"sets":[170],"showing":[171],"naturalistic":[172],"utterances,":[174],"widely":[177],"applied":[178],"well-understood":[180],"acted":[181],"sets.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}