{"id":"https://openalex.org/W1994885532","doi":"https://doi.org/10.1155/2014/749604","title":"A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM","display_name":"A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1994885532","doi":"https://doi.org/10.1155/2014/749604","mag":"1994885532"},"language":"en","primary_location":{"id":"doi:10.1155/2014/749604","doi":"https://doi.org/10.1155/2014/749604","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/749604","pdf_url":"https://downloads.hindawi.com/journals/mpe/2014/749604.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/mpe/2014/749604.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101551812","display_name":"Chenchen Huang","orcid":"https://orcid.org/0000-0001-6385-0043","observed_orcids":["https://orcid.org/0000-0001-6385-0043"]},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenchen Huang","raw_affiliation_strings":["Department of Computer, Communication University of China, Beijing 100024","Department of Computer, Communication University of China, Beijing 100024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650782","display_name":"Wei Yu Gong","orcid":"https://orcid.org/0000-0002-2276-8024","observed_orcids":["https://orcid.org/0000-0002-2276-8024","https://orcid.org/0000-0003-1510-6089"]},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gong","raw_affiliation_strings":["Department of Computer, Communication University of China, Beijing 100024","Department of Computer, Communication University of China, Beijing 100024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073062193","display_name":"Wenlong Fu","orcid":"https://orcid.org/0000-0003-4084-1085","observed_orcids":["https://orcid.org/0000-0003-4084-1085"]},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Fu","raw_affiliation_strings":["Department of Computer, Communication University of China, Beijing 100024","Department of Computer, Communication University of China, Beijing 100024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dongyu Feng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyu Feng","raw_affiliation_strings":["Department of Computer, Communication University of China, Beijing 100024","Department of Computer, Communication University of China, Beijing 100024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Department of Computer, Communication University of China, Beijing 100024, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101551812"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":6.9537,"has_fulltext":true,"cited_by_count":87,"citation_normalized_percentile":{"value":0.96091062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2014","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9976000189781189,"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":0.9976000189781189,"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":0.002300000051036477,"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":1.0},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"deep belief network","score":0.8659999966621399},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7509999871253967},{"id":"https://openalex.org/keywords/automatic-feature-extraction","display_name":"automatic feature extraction","score":0.902999997138977},{"id":"https://openalex.org/keywords/emotional-features","display_name":"emotional features","score":0.5},{"id":"https://openalex.org/keywords/ensemble-classifiers","display_name":"ensemble classifiers","score":0.597000002861023},{"id":"https://openalex.org/keywords/high-dimensional-features","display_name":"high-dimensional features","score":0.5299999713897705}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7550069093704224},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.73223876953125},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.7242269515991211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672462522983551},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6459635496139526},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6338855624198914},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6320011615753174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5793783068656921},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5258510708808899},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4749985933303833},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.46039408445358276},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4567162096500397},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29916536808013916},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.058569371700286865},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2014/749604","doi":"https://doi.org/10.1155/2014/749604","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/749604","pdf_url":"https://downloads.hindawi.com/journals/mpe/2014/749604.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:jnlmpe:749604","doi":null,"is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/MPE/2014/749604.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2014/749604","doi":"https://doi.org/10.1155/2014/749604","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2014/749604","pdf_url":"https://downloads.hindawi.com/journals/mpe/2014/749604.pdf","source":{"id":"https://openalex.org/S178238111","display_name":"Mathematical Problems in Engineering","issn_l":"1024-123X","issn":["1024-123X","1026-7077","1563-5147"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Problems in Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1994885532.pdf","grobid_xml":"https://content.openalex.org/works/W1994885532.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2009059481","https://openalex.org/W2102267302","https://openalex.org/W2110798204","https://openalex.org/W2111926505","https://openalex.org/W2133257461","https://openalex.org/W2136922672","https://openalex.org/W2163605009","https://openalex.org/W2349253365","https://openalex.org/W2356612579","https://openalex.org/W2358489454","https://openalex.org/W2364469537","https://openalex.org/W2385585647","https://openalex.org/W2391331279","https://openalex.org/W3004243356"],"related_works":["https://openalex.org/W4293230769","https://openalex.org/W2804980870","https://openalex.org/W2998232870","https://openalex.org/W2079988864","https://openalex.org/W2605244930","https://openalex.org/W2738561771","https://openalex.org/W2972706806","https://openalex.org/W2504952447","https://openalex.org/W2921156934","https://openalex.org/W2980587061"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,16],"is":[2],"a":[3,25,45,62],"very":[4],"important":[5],"part":[6],"in":[7,12,17,33,39,70],"speech":[8,18,40,52,81,90],"emotion":[9,19,53,82,91],"recognition,":[10],"and":[11,55,79],"allusion":[13],"to":[14,35,50,60],"feature":[15,29,54],"recognition":[20,83,92],"problems,":[21],"this":[22],"paper":[23],"proposed":[24],"new":[26],"method":[27],"of":[28,75,94],"extraction,":[30],"using":[31],"DBNs":[32,71],"DNN":[34],"extract":[36,51],"emotional":[37],"features":[38,67],"signal":[41],"automatically.":[42],"By":[43],"training":[44,69],"5":[46],"layers":[47],"depth":[48],"DBNs,":[49],"incorporate":[56],"multiple":[57,84],"consecutive":[58],"frames":[59],"form":[61],"high":[63],"dimensional":[64],"feature.":[65],"The":[66,89],"after":[68],"were":[72],"the":[73,95,104],"input":[74],"nonlinear":[76],"SVM":[77],"classifier,":[78],"finally":[80],"classifier":[85],"system":[86,96],"was":[87,100],"achieved.":[88],"rate":[93],"reached":[97],"86.5%,":[98],"which":[99],"7%":[101],"higher":[102],"than":[103],"original":[105],"method.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
