{"id":"https://openalex.org/W4405633023","doi":"https://doi.org/10.1109/o-cocosda64382.2024.10800111","title":"Uncertainty-Based Ensemble Learning for Speech Classification","display_name":"Uncertainty-Based Ensemble Learning for Speech Classification","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4405633023","doi":"https://doi.org/10.1109/o-cocosda64382.2024.10800111"},"language":"en","primary_location":{"id":"doi:10.1109/o-cocosda64382.2024.10800111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda64382.2024.10800111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","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/A5065879041","display_name":"Bagus Tris Atmaja","orcid":"https://orcid.org/0000-0003-1560-2824"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bagus Tris Atmaja","raw_affiliation_strings":["AIST,Tsukuba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIST,Tsukuba,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046057045","display_name":"Akira Sasou","orcid":"https://orcid.org/0000-0003-1700-0325"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Sasou","raw_affiliation_strings":["AIST,Tsukuba,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIST,Tsukuba,Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019602951","display_name":"Felix Burkhardt","orcid":"https://orcid.org/0000-0002-2689-0545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felix Burkhardt","raw_affiliation_strings":["audEERING GmbH,Gilching,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"audEERING GmbH,Gilching,Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8343,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87036939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.8345000147819519,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.8345000147819519,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.819100022315979,"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":0.7184979319572449},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6063377261161804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48035988211631775},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4172457456588745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3322344422340393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184979319572449},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6063377261161804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48035988211631775},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4172457456588745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3322344422340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/o-cocosda64382.2024.10800111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda64382.2024.10800111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2146334809","https://openalex.org/W2239141610","https://openalex.org/W2742542661","https://openalex.org/W2803193013","https://openalex.org/W2884225676","https://openalex.org/W3102100346","https://openalex.org/W3197580070","https://openalex.org/W3198908807","https://openalex.org/W3209059054","https://openalex.org/W3209984917","https://openalex.org/W4210836801","https://openalex.org/W4312951904","https://openalex.org/W4361994820","https://openalex.org/W4372267510","https://openalex.org/W4388090087","https://openalex.org/W4388366327","https://openalex.org/W4388820940","https://openalex.org/W4388821221","https://openalex.org/W4388821586","https://openalex.org/W4402112088","https://openalex.org/W6739881514","https://openalex.org/W6778752853"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Speech":[0],"classification":[1,127],"has":[2,33],"attracted":[3],"increasing":[4],"attention":[5],"due":[6,23],"to":[7,24,42,105],"its":[8,118],"wide":[9],"applications,":[10],"particularly":[11],"in":[12,28,48,58,125,140],"classifying":[13],"physical":[14],"and":[15,62,89,117,135],"mental":[16],"states.":[17],"However,":[18],"these":[19],"tasks":[20],"are":[21,40,98],"challenging":[22],"the":[25,86,91,107,113],"high":[26],"variability":[27],"speech":[29,75,126],"signals.":[30],"Ensemble":[31],"learning":[32,60,72,120,138],"shown":[34],"promising":[35],"results":[36,121],"when":[37],"multiple":[38],"classifiers":[39],"com-bined":[41,99],"improve":[43],"performance.":[44],"With":[45],"recent":[46],"advancements":[47],"hardware":[49],"development,":[50],"combining":[51],"several":[52],"models":[53,134],"is":[54],"not":[55],"a":[56,80],"limitation":[57],"deep":[59],"research":[61],"applications.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,78],"propose":[68],"an":[69],"uncertainty-based":[70],"ensemble":[71,119,137],"approach":[73],"for":[74],"classification.":[76],"Specifically,":[77],"train":[79],"set":[81],"of":[82,93,102,112,115,142],"base":[83],"features":[84],"on":[85],"same":[87],"classifier":[88],"quantify":[90],"uncertainty":[92,103,116],"their":[94],"predictions.":[95],"The":[96,110,129],"predictions":[97],"using":[100],"variants":[101],"calculation":[104],"produce":[106],"final":[108],"prediction.":[109],"visualization":[111],"effect":[114],"show":[122],"potential":[123],"improve-ments":[124],"tasks.":[128],"proposed":[130],"method":[131],"outperforms":[132],"single":[133],"conventional":[136],"methods":[139],"terms":[141],"unweighted":[143],"accuracy":[144],"or":[145],"weighted":[146],"accuracy.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}