{"id":"https://openalex.org/W2123119128","doi":"https://doi.org/10.1109/emeit.2011.6023178","title":"Automatic Speech Emotion Recognition using Support Vector Machine","display_name":"Automatic Speech Emotion Recognition using Support Vector Machine","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2123119128","doi":"https://doi.org/10.1109/emeit.2011.6023178","mag":"2123119128"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6023178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6023178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","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/A5086998160","display_name":"Peipei Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peipei Shen","raw_affiliation_strings":["Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China","Department of Computer, Technology, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer, Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074618508","display_name":"Changjun Zhou","orcid":"https://orcid.org/0000-0002-6787-5325"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Changjun","raw_affiliation_strings":["Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China","Department of Computer, Technology, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Computer, Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100770698","display_name":"Xiong Chen","orcid":"https://orcid.org/0000-0003-3008-2847"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong Chen","raw_affiliation_strings":["Pudong Branch China Mobile Group Shanghai Company Limited, Shanghai, China","Pudong Branch, China Mobile Group Shanghai, Company Limited, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pudong Branch China Mobile Group Shanghai Company Limited, Shanghai, China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"Pudong Branch, China Mobile Group Shanghai, Company Limited, Shanghai, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086998160"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.8457,"has_fulltext":false,"cited_by_count":182,"citation_normalized_percentile":{"value":0.9266108,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"621","last_page":"625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9936000108718872,"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/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.777151346206665},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7674012780189514},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.7509585618972778},{"id":"https://openalex.org/keywords/boredom","display_name":"Boredom","score":0.746303141117096},{"id":"https://openalex.org/keywords/disgust","display_name":"Disgust","score":0.683112382888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6763988733291626},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6652634143829346},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6509759426116943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.581238329410553},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44769585132598877},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.4401726722717285},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4386168122291565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41980475187301636},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.41146624088287354},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3833996057510376},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.2791789770126343},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14430749416351318}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.777151346206665},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7674012780189514},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.7509585618972778},{"id":"https://openalex.org/C2777589236","wikidata":"https://www.wikidata.org/wiki/Q34255","display_name":"Boredom","level":2,"score":0.746303141117096},{"id":"https://openalex.org/C2777375102","wikidata":"https://www.wikidata.org/wiki/Q208351","display_name":"Disgust","level":3,"score":0.683112382888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6763988733291626},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6652634143829346},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6509759426116943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.581238329410553},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44769585132598877},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.4401726722717285},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4386168122291565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41980475187301636},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.41146624088287354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3833996057510376},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.2791789770126343},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14430749416351318},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6023178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6023178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2109896588","https://openalex.org/W2110052520","https://openalex.org/W2119417805","https://openalex.org/W2122066333","https://openalex.org/W2137639365","https://openalex.org/W2141853407","https://openalex.org/W2153635508","https://openalex.org/W2159408788","https://openalex.org/W2167065437","https://openalex.org/W2167797544","https://openalex.org/W2372625757","https://openalex.org/W3120421331","https://openalex.org/W4239447739","https://openalex.org/W6676271147","https://openalex.org/W6684439429"],"related_works":["https://openalex.org/W318616257","https://openalex.org/W3118254946","https://openalex.org/W2917043877","https://openalex.org/W2372033758","https://openalex.org/W3199829813","https://openalex.org/W2366006547","https://openalex.org/W2080325429","https://openalex.org/W2130505036","https://openalex.org/W2115277869","https://openalex.org/W2184306570"],"abstract_inverted_index":{"Automatic":[0],"Speech":[1],"Emotion":[2],"Recognition":[3],"(SER)":[4],"is":[5,30,89],"a":[6,92],"current":[7],"research":[8],"topic":[9],"in":[10],"the":[11,57],"field":[12],"of":[13,21,25,123],"Human":[14],"Computer":[15],"Interaction":[16],"(HCI)":[17],"with":[18],"wide":[19],"range":[20],"applications.":[22],"The":[23,48,84,99],"purpose":[24],"speech":[26,49],"emotion":[27],"recognition":[28],"system":[29,100],"to":[31,94],"automatically":[32],"classify":[33,95],"speaker's":[34],"utterances":[35,62],"into":[36],"five":[37],"emotional":[38,54,97],"states":[39],"such":[40],"as":[41,91],"disgust,":[42],"boredom,":[43],"sadness,":[44],"neutral,":[45],"and":[46,56,79,109,118],"happiness.":[47],"samples":[50],"are":[51,63],"from":[52,60],"Berlin":[53],"database":[55],"features":[58],"extracted":[59],"these":[61],"energy,":[64],"pitch,":[65],"linear":[66],"prediction":[67],"cepstrum":[68,73,81],"coefficients":[69,74,78,82],"(LPCC),":[70],"Mel":[71,80],"Frequency":[72],"(MFCC),":[75],"Linear":[76],"Prediction":[77],"(LPCMCC).":[83],"Support":[85],"Vector":[86],"Machine":[87],"(SVM)":[88],"used":[90],"classifier":[93],"different":[96],"states.":[98],"gives":[101],"66.02%":[102],"classification":[103],"accuracy":[104],"for":[105,113,120],"only":[106,114],"using":[107,115,121],"energy":[108],"pitch":[110],"features,":[111,117],"70.7%":[112],"LPCMCC":[116],"82.5%":[119],"both":[122],"them.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-10-10T00:00:00"}
