{"id":"https://openalex.org/W4360585380","doi":"https://doi.org/10.1109/ic3i56241.2022.10073179","title":"Speech Emotion Recognition in Machine Learning to Improve Accuracy using Novel Support Vector Machine and Compared with Random Forest Algorithm","display_name":"Speech Emotion Recognition in Machine Learning to Improve Accuracy using Novel Support Vector Machine and Compared with Random Forest Algorithm","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4360585380","doi":"https://doi.org/10.1109/ic3i56241.2022.10073179"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i56241.2022.10073179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10073179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5025769655","display_name":"J. Guru Monish Amartya","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Guru Monish Amartya","raw_affiliation_strings":["Saveetha Institute of Medical And Technical Sciences,Saveetha University,Department of Computer Science and Engineering,Chennai,TamilNadu,India","Department of Computer Science and Engineering, Saveetha Institute of Medical And Technical Sciences,Saveetha University, Chennai, TamilNadu, India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical And Technical Sciences,Saveetha University,Department of Computer Science and Engineering,Chennai,TamilNadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha Institute of Medical And Technical Sciences,Saveetha University, Chennai, TamilNadu, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081798713","display_name":"S. Magesh Kumar","orcid":"https://orcid.org/0000-0002-1689-1341"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Magesh Kumar","raw_affiliation_strings":["Saveetha Institute of Medical And Technical Sciences,Saveetha University,Department of Computer Science and Engineering,Chennai,TamilNadu,India","Department of Computer Science and Engineering, Saveetha Institute of Medical And Technical Sciences,Saveetha University, Chennai, TamilNadu, India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical And Technical Sciences,Saveetha University,Department of Computer Science and Engineering,Chennai,TamilNadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha Institute of Medical And Technical Sciences,Saveetha University, Chennai, TamilNadu, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025769655"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.5723,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7122441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"862","last_page":"866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9965999722480774,"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":0.9965999722480774,"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":0.988099992275238,"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/T10057","display_name":"Face and Expression Recognition","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8348433971405029},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7791934013366699},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7448529005050659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6501235365867615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5832393169403076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5607870817184448},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5515878796577454},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.46285951137542725},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4438224136829376},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4434507191181183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35633403062820435}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8348433971405029},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7791934013366699},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7448529005050659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6501235365867615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5832393169403076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5607870817184448},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5515878796577454},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.46285951137542725},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4438224136829376},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4434507191181183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35633403062820435},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i56241.2022.10073179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i56241.2022.10073179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1507300385","https://openalex.org/W2107998827","https://openalex.org/W2184290117","https://openalex.org/W2587299955","https://openalex.org/W2661967629","https://openalex.org/W2762084293","https://openalex.org/W2807301232","https://openalex.org/W3012888109","https://openalex.org/W3033283024","https://openalex.org/W3046065781","https://openalex.org/W3094312606","https://openalex.org/W3104227547","https://openalex.org/W3107241806","https://openalex.org/W3120709499","https://openalex.org/W3166064470","https://openalex.org/W4235305945","https://openalex.org/W6686486204"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W4401361218","https://openalex.org/W2034680797","https://openalex.org/W2967426019","https://openalex.org/W3210752578","https://openalex.org/W2990537558","https://openalex.org/W4207040723"],"abstract_inverted_index":{"The":[0,35,53,70,115],"aim":[1],"of":[2,19,73,80,118],"the":[3,33,43,119,131],"research":[4],"work":[5],"is":[6,38,46,61,76,83,87,101,108,123],"to":[7,125],"analyse":[8],"human":[9,13],"behaviour":[10],"and":[11,22,26,59,63,85,98],"predict":[12],"emotion":[14],"using":[15,91],"Machine":[16],"Learning":[17],"algorithms":[18],"SVM":[20,40,60,74,120],"algorithm":[21,49,75,82,121,133],"RF":[23,48,58,81,132],"algorithm.":[24],"Materials":[25],"Methods:":[27],"There":[28],"are":[29],"two":[30,112],"groups":[31],"in":[32],"research.":[34],"first":[36],"group":[37,45],"a":[39,47],"algorithm,":[41],"while":[42,78],"second":[44],"with":[50,96],"104":[51],"samples.":[52],"sample":[54,94],"size":[55],"for":[56],"both":[57],"52":[62],"G":[64],"power":[65],"(value":[66],"=":[67],"0.8).":[68],"Results:":[69],"mean":[71],"accuracy":[72,79],"90%":[77],"71%":[84],"it":[86,107],"carried":[88],"out":[89],"by":[90],"an":[92],"independent":[93],"T-test":[95],"\u00b12SD":[97],"significance":[99],"value":[100],"0.0268":[102],"(p<0.05).":[103],"It":[104],"shows":[105],"that":[106],"statistically":[109],"significant":[110],"between":[111],"groups.":[113],"Conclusion:":[114],"final":[116],"conclusion":[117],"(90%)":[122],"determined":[124],"be":[126],"much":[127],"more":[128],"accurate":[129],"than":[130],"(71%).":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}