{"id":"https://openalex.org/W3015850999","doi":"https://doi.org/10.1109/ic3i46837.2019.9055509","title":"Speech Emotion Recognition of Indonesian Movie Audio Tracks based on MFCC and SVM","display_name":"Speech Emotion Recognition of Indonesian Movie Audio Tracks based on MFCC and SVM","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3015850999","doi":"https://doi.org/10.1109/ic3i46837.2019.9055509","mag":"3015850999"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i46837.2019.9055509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i46837.2019.9055509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5109423321","display_name":"Muljono Muljono","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127958","display_name":"Universitas Dian Nuswantoro","ror":"https://ror.org/02csxcg02","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210127958"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Muljono","raw_affiliation_strings":["Faculty of Computer Science, Universitas Dian Nuswantoro"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Dian Nuswantoro","institution_ids":["https://openalex.org/I4210127958"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025908055","display_name":"Muhammad Ramadhan Prasetya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127958","display_name":"Universitas Dian Nuswantoro","ror":"https://ror.org/02csxcg02","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210127958"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Ramadhan Prasetya","raw_affiliation_strings":["Faculty of Computer Science, Universitas Dian Nuswantoro"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Dian Nuswantoro","institution_ids":["https://openalex.org/I4210127958"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028278845","display_name":"Agus Harjoko","orcid":"https://orcid.org/0000-0001-8677-9593"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agus Harjoko","raw_affiliation_strings":["Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056721487","display_name":"Catur Supriyanto","orcid":"https://orcid.org/0000-0002-8682-9295"},"institutions":[{"id":"https://openalex.org/I4210127958","display_name":"Universitas Dian Nuswantoro","ror":"https://ror.org/02csxcg02","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210127958"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Catur Supriyanto","raw_affiliation_strings":["Faculty of Computer Science, Universitas Dian Nuswantoro"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Dian Nuswantoro","institution_ids":["https://openalex.org/I4210127958"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109423321"],"corresponding_institution_ids":["https://openalex.org/I4210127958"],"apc_list":null,"apc_paid":null,"fwci":1.9903,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.87836013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9986000061035156,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.996399998664856,"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/T13289","display_name":"Infant Health and Development","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8772224187850952},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7506632804870605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7018779516220093},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.70098477602005},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6265154480934143},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5981301665306091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5471779108047485},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5254170894622803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5226863622665405},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.506299614906311},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.41577377915382385},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.20934778451919556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12336260080337524}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8772224187850952},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7506632804870605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7018779516220093},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.70098477602005},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6265154480934143},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5981301665306091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471779108047485},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5254170894622803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5226863622665405},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.506299614906311},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.41577377915382385},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.20934778451919556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12336260080337524},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i46837.2019.9055509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i46837.2019.9055509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W110731996","https://openalex.org/W2003837801","https://openalex.org/W2004692958","https://openalex.org/W2152156982","https://openalex.org/W2474922233","https://openalex.org/W2593930476","https://openalex.org/W2637404457","https://openalex.org/W2745249611","https://openalex.org/W2803098682","https://openalex.org/W4399033314","https://openalex.org/W6651368020"],"related_works":["https://openalex.org/W3095395190","https://openalex.org/W3123056048","https://openalex.org/W4389428786","https://openalex.org/W3100948281","https://openalex.org/W1603091392","https://openalex.org/W2408517584","https://openalex.org/W2096302783","https://openalex.org/W2095626363","https://openalex.org/W3118942106","https://openalex.org/W2165576085"],"abstract_inverted_index":{"Emotion":[0],"speech":[1,20,36,107],"recognition":[2],"becomes":[3],"the":[4,27,49,57,60,87,98,133,140,153],"important":[5],"part":[6],"of":[7,29,89,111,143,155],"signal":[8],"processing":[9],"research":[10],"area.":[11],"Many":[12],"useful":[13],"applications":[14],"have":[15],"been":[16],"supported":[17],"by":[18],"emotion":[19,37,71,88],"recognition.":[21,38,108],"This":[22],"study":[23],"aims":[24],"to":[25,55,85,146],"investigate":[26],"performance":[28,110],"mel-frequency":[30],"cepstral":[31],"coefficients":[32],"(MFCC)":[33],"on":[34,115,132],"Indonesian":[35,42,90],"The":[39,62,109],"dataset":[40],"is":[41,83,113],"movies":[43],"audio":[44,58,63],"tracks":[45,64],"which":[46],"collected":[47],"from":[48,59],"internet.":[50],"Some":[51],"preprocessing":[52],"are":[53,97],"performed":[54],"split":[56],"movie.":[61],"were":[65],"selected":[66],"and":[67,77,94,103,126],"classified":[68],"into":[69],"four":[70],"classes,":[72],"i.e.,":[73],"angry,":[74],"sad,":[75],"happy,":[76],"neutral.":[78],"Support":[79],"Vector":[80],"Machines":[81],"(SVM)":[82],"used":[84],"recognise":[86],"speech.":[91],"Both":[92],"MFCC":[93,112],"SVM":[95,117,135,147],"methods":[96,105],"most":[99],"commonly-used":[100],"feature":[101],"extraction":[102],"classifier":[104],"in":[106],"compared":[114,145],"several":[116],"kernel":[118,138,150],"functions,":[119],"such":[120],"as":[121],"linear":[122,137],"kernel,":[123,125],"polynomial":[124,149],"radial":[127],"basis":[128],"function":[129],"(RBF).":[130],"Based":[131],"results,":[134],"with":[136,148],"achieves":[139],"highest":[141],"accuracy":[142,154],"66%":[144],"that":[151],"produces":[152],"45%.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
