{"id":"https://openalex.org/W2295001676","doi":"https://doi.org/10.21437/interspeech.2014-57","title":"Speech emotion recognition using deep neural network and extreme learning machine","display_name":"Speech emotion recognition using deep neural network and extreme learning machine","publication_year":2014,"publication_date":"2014-09-14","ids":{"openalex":"https://openalex.org/W2295001676","doi":"https://doi.org/10.21437/interspeech.2014-57","mag":"2295001676"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2014-57","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-57","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","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/A5101924647","display_name":"Kun Han","orcid":"https://orcid.org/0000-0003-2148-7594"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034476404","display_name":"Dong Yu","orcid":"https://orcid.org/0000-0003-0520-6844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5007425970","display_name":"Ivan Tashev","orcid":"https://orcid.org/0000-0002-2263-2047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivan Tashev","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":48.2117,"has_fulltext":false,"cited_by_count":805,"citation_normalized_percentile":{"value":0.9987134,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9991999864578247,"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/T12676","display_name":"Machine Learning and ELM","score":0.9991999864578247,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9983999729156494,"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/T10320","display_name":"Neural Networks and Applications","score":0.996399998664856,"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":0.7715456485748291},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6877461075782776},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6329180598258972},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6254682540893555},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5805947184562683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5367032289505005},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4793725311756134},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.47773119807243347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7715456485748291},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6877461075782776},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6329180598258972},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6254682540893555},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5805947184562683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5367032289505005},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4793725311756134},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.47773119807243347}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2014-57","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-57","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1668904664","https://openalex.org/W1972280480","https://openalex.org/W1984541135","https://openalex.org/W1985871083","https://openalex.org/W1987048275","https://openalex.org/W2002984713","https://openalex.org/W2013598660","https://openalex.org/W2016661008","https://openalex.org/W2074788634","https://openalex.org/W2080289724","https://openalex.org/W2093174546","https://openalex.org/W2110052520","https://openalex.org/W2111072639","https://openalex.org/W2117274752","https://openalex.org/W2136922672","https://openalex.org/W2146334809","https://openalex.org/W2147768505","https://openalex.org/W2154024118","https://openalex.org/W2163922914","https://openalex.org/W2167854178","https://openalex.org/W2213952365","https://openalex.org/W2408524143"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W1584764049","https://openalex.org/W3126677997","https://openalex.org/W4319456675"],"abstract_inverted_index":{"Speech":[0],"emotion":[1,46,52],"recognition":[2],"is":[3,10],"a":[4,83],"challenging":[5],"problem":[6],"partly":[7],"because":[8],"it":[9],"unclear":[11],"what":[12],"features":[13,34,66,73,109],"are":[14,42,74],"effective":[15,43],"for":[16,44,56],"the":[17,100,119],"task.":[18],"In":[19],"this":[20],"paper":[21],"we":[22],"propose":[23],"to":[24,30,91,112,118],"utilize":[25],"deep":[26],"neural":[27,89],"networks":[28],"(DNNs)":[29],"extract":[31],"high":[32],"level":[33],"from":[35,67,107],"raw":[36],"data":[37],"and":[38,86,110],"show":[39],"that":[40,99],"they":[41],"speech":[45,58],"recognition.":[47],"We":[48,62],"first":[49],"produce":[50],"an":[51,78],"state":[53],"probability":[54,69],"distribution":[55],"each":[57],"segment":[59],"using":[60],"DNNs.":[61],"then":[63,75],"construct":[64],"utterance-level":[65,93],"segment-level":[68],"distributions.":[70],"These":[71],"utterancelevel":[72],"fed":[76],"into":[77],"extreme":[79],"learning":[80],"machine":[81],"(ELM),":[82],"special":[84],"simple":[85],"efficient":[87],"single-hidden-layer":[88],"network,":[90],"identify":[92],"emotions.":[94],"The":[95],"experimental":[96],"results":[97],"demonstrate":[98],"proposed":[101],"approach":[102],"effectively":[103],"learns":[104],"emotional":[105],"information":[106],"low-level":[108],"leads":[111],"20%":[113],"relative":[114],"accuracy":[115],"improvement":[116],"compared":[117],"stateof-the-art":[120],"approaches.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":42},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":94},{"year":2022,"cited_by_count":88},{"year":2021,"cited_by_count":117},{"year":2020,"cited_by_count":104},{"year":2019,"cited_by_count":90},{"year":2018,"cited_by_count":94},{"year":2017,"cited_by_count":58},{"year":2016,"cited_by_count":43},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}