{"id":"https://openalex.org/W2474922233","doi":"https://doi.org/10.1016/j.protcy.2016.05.242","title":"Performance Analysis of Malayalam Language Speech Emotion Recognition System Using ANN/SVM","display_name":"Performance Analysis of Malayalam Language Speech Emotion Recognition System Using ANN/SVM","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2474922233","doi":"https://doi.org/10.1016/j.protcy.2016.05.242","mag":"2474922233"},"language":"en","primary_location":{"id":"doi:10.1016/j.protcy.2016.05.242","doi":"https://doi.org/10.1016/j.protcy.2016.05.242","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.protcy.2016.05.242","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2212017316303334/pdf","source":{"id":"https://openalex.org/S2898128736","display_name":"Procedia Technology","issn_l":"2212-0173","issn":["2212-0173"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Technology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciencedirect.com/science/article/pii/S2212017316303334/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060539329","display_name":"T.M. Rajisha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263743","display_name":"Government Engineering College Wayanad","ror":"https://ror.org/05nx3qr05","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T.M. Rajisha","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Govt. Engineering College Wayanad, Kerala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Govt. Engineering College Wayanad, Kerala, India","institution_ids":["https://openalex.org/I4405263743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051260618","display_name":"A. P. Sunija","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263743","display_name":"Government Engineering College Wayanad","ror":"https://ror.org/05nx3qr05","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.P. Sunija","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Govt. Engineering College Wayanad, Kerala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Govt. Engineering College Wayanad, Kerala, India","institution_ids":["https://openalex.org/I4405263743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036844972","display_name":"K S Riyas","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263743","display_name":"Government Engineering College Wayanad","ror":"https://ror.org/05nx3qr05","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263743"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K.S. Riyas","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Govt. Engineering College Wayanad, Kerala, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Govt. Engineering College Wayanad, Kerala, India","institution_ids":["https://openalex.org/I4405263743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036844972"],"corresponding_institution_ids":["https://openalex.org/I4405263743"],"apc_list":null,"apc_paid":null,"fwci":3.7966,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.92325251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":null,"first_page":"1097","last_page":"1104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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":0.0,"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":0.9990000128746033},{"id":"https://openalex.org/keywords/malayalam-language","display_name":"Malayalam language","score":0.9639999866485596},{"id":"https://openalex.org/keywords/mel-frequency-cepstral-coefficients","display_name":"Mel-frequency cepstral coefficients","score":0.8899999856948853},{"id":"https://openalex.org/keywords/short-time-energy","display_name":"short-time energy","score":0.9089999794960022},{"id":"https://openalex.org/keywords/pitch-features","display_name":"pitch features","score":0.972000002861023},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7319999933242798},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.972000002861023}],"concepts":[{"id":"https://openalex.org/C2779662586","wikidata":"https://www.wikidata.org/wiki/Q36236","display_name":"Malayalam","level":2,"score":0.845568060874939},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.737662672996521},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7259363532066345},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6826175451278687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.649153470993042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454377174377441},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5121991038322449},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45783427357673645},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.452075719833374},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.42461490631103516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4089337885379791}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.protcy.2016.05.242","doi":"https://doi.org/10.1016/j.protcy.2016.05.242","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.protcy.2016.05.242","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2212017316303334/pdf","source":{"id":"https://openalex.org/S2898128736","display_name":"Procedia Technology","issn_l":"2212-0173","issn":["2212-0173"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.protcy.2016.05.242","doi":"https://doi.org/10.1016/j.protcy.2016.05.242","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.protcy.2016.05.242","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2212017316303334/pdf","source":{"id":"https://openalex.org/S2898128736","display_name":"Procedia Technology","issn_l":"2212-0173","issn":["2212-0173"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Quality education","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2474922233.pdf","grobid_xml":"https://content.openalex.org/works/W2474922233.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W177141317","https://openalex.org/W2000838212","https://openalex.org/W2061900096","https://openalex.org/W2074788634","https://openalex.org/W2099104918","https://openalex.org/W2101724615","https://openalex.org/W2120364403","https://openalex.org/W2327867019","https://openalex.org/W2339298878","https://openalex.org/W2554631926","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1993519356","https://openalex.org/W1973419160","https://openalex.org/W2419787890","https://openalex.org/W4240485675","https://openalex.org/W2618148993","https://openalex.org/W7008527857","https://openalex.org/W4379117890","https://openalex.org/W4394995099","https://openalex.org/W4401708908","https://openalex.org/W3208547452"],"abstract_inverted_index":{"Automatic":[0,25],"recognition":[1,27,51],"of":[2,11,16,21,43,55,74,129,134,141],"emotions":[3],"from":[4,46,58],"speech":[5,30,67],"by":[6,29],"machines":[7],"has":[8,52],"been":[9],"one":[10],"the":[12,19,38,75,84,132,139],"most":[13],"challenging":[14],"areas":[15],"research":[17],"in":[18,131,138],"field":[20],"human":[22],"machine":[23],"interaction.":[24],"emotion":[26,50],"system":[28,81,87],"merely":[31],"means":[32],"that":[33,122],"to":[34,61],"monitor":[35],"and":[36,79,98,111,136],"identify":[37],"emotional":[39,68],"or":[40],"physiological":[41],"state":[42],"an":[44],"individual":[45],"their":[47],"utterances.":[48],"Speech":[49],"wide":[53],"range":[54],"application":[56],"ranging":[57],"clinical":[59],"studies":[60],"robotics.":[62],"In":[63],"this":[64,123],"paper":[65],"developed":[66],"database":[69],"for":[70,82,117],"Malayalam":[71],"language":[72],"(One":[73],"south":[76],"Indian":[77],"languages)":[78],"a":[80,126],"recognizing":[83],"emotions.":[85],"The":[86],"used":[88,116],"Mel":[89],"Frequency":[90],"Cepstral":[91],"Coefficients":[92],"(MFCCs),":[93],"Short":[94],"Time":[95],"Energy":[96],"(STE)":[97],"Pitch":[99],"as":[100],"features":[101],"extraction":[102],"techniques.":[103],"Two":[104],"classifiers,":[105],"namely":[106],"Artificial":[107],"Neural":[108],"Network":[109],"(ANN)":[110],"Support":[112],"Vector":[113],"Machine":[114],"(SVM)":[115],"pattern":[118],"classification.":[119],"Experiments":[120],"show":[121],"method":[124],"provides":[125],"high":[127],"accuracy":[128],"88.4%":[130],"case":[133,140],"ANN":[135],"78.2%":[137],"SVM.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2016-07-22T00:00:00"}