{"id":"https://openalex.org/W3010218428","doi":"https://doi.org/10.3233/jifs-191753","title":"A novel stochastic deep conviction network for emotion recognition in speech signal","display_name":"A novel stochastic deep conviction network for emotion recognition in speech signal","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3010218428","doi":"https://doi.org/10.3233/jifs-191753","mag":"3010218428"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191753","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191753","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5087054471","display_name":"Shilpi Shukla","orcid":"https://orcid.org/0000-0003-2940-7704"},"institutions":[{"id":"https://openalex.org/I4210107677","display_name":"Mahatma Gandhi Mission Institute of Health Sciences","ror":"https://ror.org/01nxyxz54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210107677"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shilpi Shukla","raw_affiliation_strings":["Assistant Professor, Mahatma Gandhi Mission\u2019s College of Engineering and Technology, Noida, Uttar Pradesh, India","Assistant Professor, Mahatma Gandhi Mission's College of Engineering and Technology, Noida, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Assistant Professor, Mahatma Gandhi Mission\u2019s College of Engineering and Technology, Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I4210107677"]},{"raw_affiliation_string":"Assistant Professor, Mahatma Gandhi Mission's College of Engineering and Technology, Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I4210107677"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102729488","display_name":"Madhu Jain","orcid":"https://orcid.org/0000-0003-4645-844X"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhu Jain","raw_affiliation_strings":["Associate Professor, Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, (Uttar Pradesh), India"],"affiliations":[{"raw_affiliation_string":"Associate Professor, Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, (Uttar Pradesh), India","institution_ids":["https://openalex.org/I154970844"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087054471"],"corresponding_institution_ids":["https://openalex.org/I4210107677"],"apc_list":null,"apc_paid":null,"fwci":1.025,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76900891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"38","issue":"4","first_page":"5175","last_page":"5190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9987999796867371,"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":0.9987999796867371,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.993399977684021,"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":0.8368209600448608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8096498847007751},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.6985843181610107},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.638131320476532},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5868449807167053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5456172227859497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4956458806991577},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.490716814994812},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4841464161872864},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3768208622932434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368209600448608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8096498847007751},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.6985843181610107},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.638131320476532},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5868449807167053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5456172227859497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4956458806991577},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.490716814994812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4841464161872864},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3768208622932434}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191753","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191753","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1507741742","https://openalex.org/W1509793305","https://openalex.org/W1613249581","https://openalex.org/W1734057052","https://openalex.org/W1971987964","https://openalex.org/W1975205701","https://openalex.org/W1984541135","https://openalex.org/W2005697477","https://openalex.org/W2022011789","https://openalex.org/W2042141836","https://openalex.org/W2046429971","https://openalex.org/W2053136241","https://openalex.org/W2063922127","https://openalex.org/W2077498515","https://openalex.org/W2084016865","https://openalex.org/W2091432990","https://openalex.org/W2092489135","https://openalex.org/W2095325403","https://openalex.org/W2100495367","https://openalex.org/W2104457544","https://openalex.org/W2116360511","https://openalex.org/W2120663682","https://openalex.org/W2148822124","https://openalex.org/W2160815625","https://openalex.org/W2184045248","https://openalex.org/W2314084222","https://openalex.org/W2330342233","https://openalex.org/W2578895956","https://openalex.org/W2592702372","https://openalex.org/W2598207902","https://openalex.org/W2739418057","https://openalex.org/W2763815784","https://openalex.org/W2766756589","https://openalex.org/W2773080983","https://openalex.org/W2889107526","https://openalex.org/W2889717020","https://openalex.org/W2901939891","https://openalex.org/W2910662233","https://openalex.org/W2922288958","https://openalex.org/W2936872647","https://openalex.org/W2952112541","https://openalex.org/W2976545842","https://openalex.org/W2998830462","https://openalex.org/W3003165619","https://openalex.org/W4231109964","https://openalex.org/W4388927682"],"related_works":["https://openalex.org/W1530536511","https://openalex.org/W2585432886","https://openalex.org/W1974618110","https://openalex.org/W2165991108","https://openalex.org/W3082895349","https://openalex.org/W2565516711","https://openalex.org/W4293718213","https://openalex.org/W3004069267","https://openalex.org/W2770760954","https://openalex.org/W4327774331"],"abstract_inverted_index":{"Deep":[0],"learning":[1,91,97,107],"is":[2,61,128,187,200,234,259,295,312,356,374],"far":[3,400],"and":[4,30,49,71,113,130,153,217,251,277,279,377],"wide":[5],"considered":[6],"to":[7,40,45,188,208,304,315,319,359],"be":[8,157,215,226],"the":[9,89,125,131,137,142,151,154,169,190,193,197,218,222,242,247,263,267,292,300,316,321,324,330,335,338,347,365,368,378],"most":[10,149],"powerful":[11],"method":[12,98],"in":[13,35,57,192,241,262,327],"computer":[14],"vision":[15],"fields,":[16],"which":[17,202,326,394],"has":[18,395],"a":[19,254,257,286,388],"lot":[20],"of":[21,53,95,150,221,253,270,291,323,337,371,380,391],"applications":[22],"such":[23],"as":[24],"image":[25],"recognition,":[26],"robot":[27],"navigation":[28],"systems,":[29],"self-driving":[31],"cars.":[32],"Recent":[33],"developments":[34],"neural":[36],"networks":[37],"have":[38,168],"led":[39],"an":[41,77],"efficient":[42],"end-to-end":[43,79],"architecture":[44],"human":[46],"activity":[47],"representation":[48],"classification.":[50,205],"In":[51,124,206,351],"light":[52],"these":[54],"recent":[55],"events":[56],"deep":[58,83,90,96,100],"learning,":[59],"there":[60],"now":[62],"much":[63],"considerable":[64],"concern":[65],"about":[66],"developing":[67],"less":[68],"expensive":[69],"computation":[70,301,389],"memory-wise":[72],"methods.":[73],"This":[74,341],"paper":[75],"presents":[76],"optimized":[78],"approach":[80],"named":[81],"stochastic":[82],"conviction":[84],"network":[85,102],"(SDCN)":[86],"formulated":[87,342],"using":[88],"method.":[92],"It":[93],"comprises":[94],"namely":[99],"belief":[101],"(DBN),":[103],"two":[104],"supervised":[105],"machine":[106,111],"algorithm":[108],"support":[109],"vector":[110],"(SVM)":[112],"decision":[114,293,317],"tree":[115,318],"(DT)":[116],"with":[117,238,387],"optimization":[118,231,309],"capability":[119],"for":[120,266,333],"speech":[121,139,145,339,361],"emotion":[122,336,362,372],"identification.":[123],"beginning,":[126],"pre-processing":[127],"performed":[129],"features":[132,147,224],"are":[133],"automatically":[134],"extracted":[135,223],"from":[136],"input":[138],"signal":[140,146],"by":[141,401],"DBN.":[143],"Since":[144],"loses":[148],"information":[152],"performance":[155,284],"cannot":[156],"guaranteed":[158],"because":[159],"dynamic":[160],"interactions":[161],"can":[162,298],"generate":[163],"uncountable":[164],"emotion-specific":[165],"experiences":[166],"that":[167,296],"same":[170],"core":[171],"feeling":[172],"state":[173],"but":[174],"different":[175],"perceptual":[176],"inclinations":[177],"so":[178,399],"DBN":[179],"provides":[180],"more":[181],"robust":[182],"features.":[183],"The":[184,289],"next":[185],"step":[186],"classify":[189],"emotions":[191,271,382],"training":[194,243],"phase;":[195],"here":[196],"SVM":[198,239],"classifier":[199,240,256],"chosen":[201],"performs":[203],"dual":[204],"order":[207],"enhance":[209],"this":[210,306,352],"classification":[211],"process,":[212],"defects":[213],"must":[214],"reduced":[216],"best":[219],"discrimination":[220],"should":[225],"obtained":[227],"hence":[228],"particle":[229],"swarm":[230],"(PSO)":[232],"technique":[233,311,367],"being":[235,260,313,357],"added":[236,314],"along":[237],"phase.":[244],"To":[245],"reduce":[246,320],"over":[248],"fitting":[249],"problem":[250],"risks":[252],"single":[255,287],"DT":[258],"used":[261],"testing":[264],"phase":[265],"exact":[268],"identification":[269,379],"(anger,":[272],"disgust,":[273],"fear,":[274],"happiness,":[275],"neutral":[276],"sadness)":[278],"therefore":[280],"it":[281,297],"obtains":[282],"better":[283],"than":[285],"classifier.":[288],"complication":[290],"tool":[294],"increase":[299],"time.":[302],"Thus":[303],"eliminate":[305],"defect":[307],"whale":[308],"(WO)":[310],"complexity":[322],"system,":[325],"turn":[328],"lessens":[329],"time":[331,390],"taken":[332],"recognizing":[334],"signal.":[340],"proposed":[343,366],"SDCN":[344],"system":[345],"improves":[346],"recognition":[348,385],"rate":[349,386],"accurately.":[350],"work,":[353],"theMATLAB":[354],"environment":[355],"preferred":[358],"perform":[360],"recognition.":[363],"Using":[364],"achieved":[369,398],"accuracy":[370],"detection":[373],"above":[375],"95%":[376],"various":[381],"exceeds":[383],"98%":[384],"23":[392],"seconds,":[393],"not":[396],"been":[397],"any":[402],"other":[403],"existing":[404],"techniques.":[405]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
