{"id":"https://openalex.org/W2104403658","doi":"https://doi.org/10.1109/icme.2006.262500","title":"Evolutionary Feature Generation in Speech Emotion Recognition","display_name":"Evolutionary Feature Generation in Speech Emotion Recognition","publication_year":2006,"publication_date":"2006-07-01","ids":{"openalex":"https://openalex.org/W2104403658","doi":"https://doi.org/10.1109/icme.2006.262500","mag":"2104403658"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2006.262500","doi":"https://doi.org/10.1109/icme.2006.262500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2006.262500","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"volume":null,"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/A5043060302","display_name":"Bj\u00f6rn Wolfgang Schuller","orcid":"https://orcid.org/0000-0002-6478-8699","observed_orcids":["https://orcid.org/0000-0002-6478-8699"]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjorn Schuller","raw_affiliation_strings":["Institute for Human-Machine Communication, Technische Universitat, Munich, Germany","Inst. for Human-Machine Commun., Technische Univ. Munchen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technische Universitat, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Inst. for Human-Machine Commun., Technische Univ. Munchen","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112793493","display_name":"Stephan A. Reiter","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Reiter","raw_affiliation_strings":["Institute for Human-Machine Communication, Technische Universitat, Munich, Germany","Inst. for Human-Machine Commun., Technische Univ. Munchen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technische Universitat, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Inst. for Human-Machine Commun., Technische Univ. Munchen","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596","observed_orcids":["https://orcid.org/0000-0003-1096-1596"]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerhard Rigoll","raw_affiliation_strings":["Institute for Human-Machine Communication, Technische Universitat, Munich, Germany","Inst. for Human-Machine Commun., Technische Univ. Munchen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technische Universitat, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Inst. for Human-Machine Commun., Technische Univ. Munchen","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":8.4554,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.97363796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.0005000000237487257,"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/T10860","display_name":"Speech and Audio Processing","score":9.999999747378752e-05,"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/speech-emotion-recognition","display_name":"speech emotion recognition","score":0.9929999709129333},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7609999775886536},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"evolutionary programming","score":0.6809999942779541},{"id":"https://openalex.org/keywords/feature-construction","display_name":"feature construction","score":0.640999972820282},{"id":"https://openalex.org/keywords/prosodic-features","display_name":"prosodic features","score":0.9309999942779541},{"id":"https://openalex.org/keywords/articulatory-features","display_name":"articulatory features","score":0.8450000286102295},{"id":"https://openalex.org/keywords/voice-quality","display_name":"voice quality","score":0.781000018119812},{"id":"https://openalex.org/keywords/feature-space-optimization","display_name":"feature space optimization","score":0.5139999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522026300430298},{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.7364903688430786},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6735398769378662},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5891342759132385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5547338128089905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5312556624412537},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5267990231513977},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4973736107349396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4775593876838684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46991339325904846},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43772023916244507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10506859421730042},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2006.262500","doi":"https://doi.org/10.1109/icme.2006.262500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2006.262500","pdf_url":null,"source":{"id":"https://openalex.org/S4363607799","display_name":"IEEE International Conference on Multimedia and Expo (ICME)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W100428360","https://openalex.org/W175750906","https://openalex.org/W1587972688","https://openalex.org/W2032254851","https://openalex.org/W2110052520","https://openalex.org/W2135195345","https://openalex.org/W2152150600","https://openalex.org/W2167797544","https://openalex.org/W2169295472","https://openalex.org/W2171939880","https://openalex.org/W3011460294","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W7097442086","https://openalex.org/W2025277993","https://openalex.org/W3039097787","https://openalex.org/W2163274827","https://openalex.org/W4353100307","https://openalex.org/W2251010464","https://openalex.org/W2515069422","https://openalex.org/W2017204168","https://openalex.org/W2921312937","https://openalex.org/W96420796"],"abstract_inverted_index":{"Feature":[0],"sets":[1],"are":[2,76],"broadly":[3],"discussed":[4],"within":[5,84],"speech":[6],"emotion":[7],"recognition":[8],"by":[9,41,67],"acoustic":[10],"analysis.":[11,70],"While":[12],"popular":[13],"filter":[14],"and":[15,51,59],"wrapper":[16],"based":[17],"search":[18],"help":[19],"to":[20,79],"retrieve":[21],"relevant":[22],"ones,":[23],"we":[24,98],"feel":[25],"that":[26],"automatic":[27],"generation":[28],"of":[29,56,89,101],"such":[30],"allows":[31],"for":[32],"more":[33],"flexibility":[34],"throughout":[35],"search.":[36],"The":[37],"basis":[38],"is":[39,65],"formed":[40],"dynamic":[42],"low-level":[43],"descriptors":[44],"considering":[45],"intonation,":[46],"intensity,":[47],"formants,":[48],"spectral":[49],"information":[50],"others.":[52],"Next,":[53],"systematic":[54],"derivation":[55],"prosodic,":[57],"articulatory,":[58],"voice":[60],"quality":[61],"high":[62],"level":[63],"functionals":[64],"performed":[66],"descriptive":[68],"statistical":[69],"From":[71],"here":[72],"on":[73,114],"feature":[74,85],"alterations":[75],"automatically":[77],"fulfilled,":[78],"find":[80],"an":[81],"optimal":[82],"representation":[83],"space":[86],"in":[87],"view":[88],"a":[90],"target":[91],"classifier.":[92],"To":[93],"avoid":[94],"NP-hard":[95],"exhaustive":[96],"search,":[97],"suggest":[99],"use":[100],"evolutionary":[102],"programming.":[103],"Significant":[104],"overall":[105],"performance":[106],"improvement":[107],"over":[108],"former":[109],"works":[110],"can":[111],"be":[112],"reported":[113],"two":[115],"public":[116],"databases":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":7}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}