{"id":"https://openalex.org/W2089566187","doi":"https://doi.org/10.1109/isspa.2012.6310487","title":"Emotion recognition from speech: WOC-NN and class-interaction","display_name":"Emotion recognition from speech: WOC-NN and class-interaction","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2089566187","doi":"https://doi.org/10.1109/isspa.2012.6310487","mag":"2089566187"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2012.6310487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","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/A5023845293","display_name":"Yazid Attabi","orcid":"https://orcid.org/0000-0002-7336-6500"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yazid Attabi","raw_affiliation_strings":["\u00c9cole de technologie superieure, Montreal, Canada","\u00c9cole de Technologie Superi\u00e9ure,Montreal,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie superieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"\u00c9cole de Technologie Superi\u00e9ure,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034083532","display_name":"Pierre Dumouchel","orcid":"https://orcid.org/0000-0001-5584-4428"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pierre Dumouchel","raw_affiliation_strings":["\u00c9cole de technologie superieure, Montreal, Canada","\u00c9cole de Technologie Superi\u00e9ure,Montreal,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole de technologie superieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]},{"raw_affiliation_string":"\u00c9cole de Technologie Superi\u00e9ure,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":2.0227,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8721047,"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":"126","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.998199999332428,"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":0.998199999332428,"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":0.9970999956130981,"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":0.9926999807357788,"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/speech-recognition","display_name":"Speech recognition","score":0.6810375452041626},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6396929621696472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6111535429954529},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5728406310081482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29803648591041565}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6810375452041626},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6396929621696472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111535429954529},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5728406310081482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29803648591041565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2012.6310487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2012.6310487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W177923765","https://openalex.org/W1501669607","https://openalex.org/W2049633694","https://openalex.org/W2153720647","https://openalex.org/W2402993364","https://openalex.org/W2408524143","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2893763841","https://openalex.org/W2368779261","https://openalex.org/W2794438528","https://openalex.org/W2778699561","https://openalex.org/W2995996972","https://openalex.org/W2372895414","https://openalex.org/W3128571556","https://openalex.org/W4304891817","https://openalex.org/W2374918184","https://openalex.org/W2312116756"],"abstract_inverted_index":{"This":[0],"study":[1,62],"represents":[2],"an":[3],"extension":[4],"work":[5,21],"of":[6,34,49,80,104,125,133],"the":[7,39,63,96,99,105,130,152,163,167],"Weighted":[8],"Ordered":[9],"Classes-Nearest":[10],"Neighbors":[11],"(WOC-NN),":[12],"a":[13,27,31,47,77,85,116],"class-similarity":[14],"based":[15,83,107,114],"method":[16],"introduced":[17,89],"in":[18,38,90,129],"our":[19],"previous":[20],"[1].":[22],"WOC-NN":[23,134,149],"computes":[24],"similarities":[25],"between":[26,98],"test":[28],"instance":[29],"and":[30],"class":[32,37,44,64,71,87,110,118,127],"pattern":[33,45,82],"each":[35,70],"emotion":[36,43],"likelihood":[40,122],"space.":[41],"An":[42],"is":[46],"representation":[48],"its":[50],"ranked":[51],"neighboring":[52],"classes":[53],"weighted":[54],"according":[55],"to":[56,92,158],"their":[57],"discrimination":[58],"capability.":[59],"In":[60],"this":[61],"ranks":[65,88,111],"weights":[66],"are":[67],"normalized":[68],"inside":[69],"pattern.":[72],"We":[73],"have":[74],"also":[75],"studied":[76],"new":[78],"model":[79],"distance":[81],"on":[84,108,115,143],"double":[86,109],"order":[91],"take":[93],"into":[94],"account":[95],"interaction":[97],"rank":[100,124],"variables.":[101],"The":[102,141],"performance":[103,154],"system":[106],"exceeds":[112],"those":[113],"single":[117],"rank.":[119],"Furthermore,":[120],"using":[121],"score":[123],"all":[126],"models":[128],"decision":[131,160],"rule":[132],"adds":[135],"valuable":[136],"information":[137],"for":[138],"data":[139],"discrimination.":[140],"experiments":[142],"FAU":[144],"AIBO":[145],"corpus":[146],"show":[147],"that":[148],"approach":[150],"enhances":[151],"relative":[153],"with":[155],"5.1%":[156],"compared":[157],"Bayes":[159],"rule.":[161],"Also,":[162],"obtained":[164],"result":[165],"outperforms":[166],"state-of-the":[168],"art":[169],"ones.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}