{"id":"https://openalex.org/W4391096293","doi":"https://doi.org/10.1109/iciscae59047.2023.10392981","title":"Machine learning music emotion recognition based on audio features","display_name":"Machine learning music emotion recognition based on audio features","publication_year":2023,"publication_date":"2023-09-23","ids":{"openalex":"https://openalex.org/W4391096293","doi":"https://doi.org/10.1109/iciscae59047.2023.10392981"},"language":"en","primary_location":{"id":"doi:10.1109/iciscae59047.2023.10392981","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","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/A5067606116","display_name":"Keju Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3130102811","display_name":"Xi'an Conservatory of Music","ror":"https://ror.org/039xv0h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130102811"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keju Wang","raw_affiliation_strings":["Humanities School, Xi’an Jiaotong University,Xi’an Conservatory of Music,Orchestra Department,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Humanities School, Xi’an Jiaotong University,Xi’an Conservatory of Music,Orchestra Department,Xi’an,China","institution_ids":["https://openalex.org/I3130102811"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007191488","display_name":"Cheng Qian","orcid":"https://orcid.org/0000-0002-8449-1411"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Qian","raw_affiliation_strings":["Xi’an University of Architecture and Technology,School of Mechanical and Electrical Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xi’an University of Architecture and Technology,School of Mechanical and Electrical Engineering,Xi’an,China","institution_ids":["https://openalex.org/I148099405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448153","display_name":"Lijun Zhang","orcid":"https://orcid.org/0000-0002-3692-2088"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhang","raw_affiliation_strings":["Xi’an University of Architecture and Technology,School of Mechanical and Electrical Engineering,Xi’an,China"],"affiliations":[{"raw_affiliation_string":"Xi’an University of Architecture and Technology,School of Mechanical and Electrical Engineering,Xi’an,China","institution_ids":["https://openalex.org/I148099405"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067606116"],"corresponding_institution_ids":["https://openalex.org/I3130102811"],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49627543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"215","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T13996","display_name":"Diverse Musicological Studies","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9581999778747559,"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/computer-science","display_name":"Computer science","score":0.7996370792388916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6664628386497498},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.590461015701294},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5728590488433838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5485707521438599},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5306806564331055},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5306569337844849},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5287123322486877},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4957958161830902},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4785107672214508},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.4569992125034332},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.43795308470726013},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4325380325317383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3254774212837219},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.13015323877334595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996370792388916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6664628386497498},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.590461015701294},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5728590488433838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5485707521438599},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5306806564331055},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5306569337844849},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5287123322486877},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4957958161830902},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4785107672214508},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4569992125034332},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.43795308470726013},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4325380325317383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3254774212837219},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.13015323877334595},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciscae59047.2023.10392981","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iciscae59047.2023.10392981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2128065064","https://openalex.org/W2194187530","https://openalex.org/W2739665188","https://openalex.org/W2805414893","https://openalex.org/W3016862886","https://openalex.org/W3198859715","https://openalex.org/W3208740537","https://openalex.org/W4206673275","https://openalex.org/W4213306764","https://openalex.org/W4220913434","https://openalex.org/W4281730580"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Music":[0],"is":[1,27,72],"a":[2,21,49,68],"kind":[3],"of":[4,154],"language":[5],"expressing":[6],"emotion,":[7],"different":[8,13],"structures":[9],"and":[10,32,46,63,91,101,117,151],"content":[11],"contain":[12],"emotions.":[14,128],"For":[15],"the":[16,52,55,78,83,86,95,105,108,113,118,134,155],"music":[17,23,80,127],"emotion":[18,24],"classification":[19],"problem,":[20],"novel":[22],"recognition":[25],"strategy":[26],"proposed":[28,135,156],"using":[29],"audio":[30],"features":[31,88],"machine":[33],"learning.":[34],"The":[35,129],"developed":[36],"scheme":[37],"includes":[38],"four":[39],"stages:":[40],"preprocessing,":[41],"feature":[42,44,71,96,143],"extraction,":[43],"selection,":[45],"classification.":[47],"As":[48],"first":[50],"step,":[51,85,107],"signals":[53],"in":[54,65],"data":[56,109],"set":[57],"are":[58,89,110],"stably":[59],"continuous":[60],"by":[61],"framing":[62],"windowing":[64],"processing.":[66],"Secondly,":[67],"1x140":[69],"size":[70],"derived":[73],"from":[74],"signal":[75],"to":[76,112,125],"profile":[77],"detailed":[79],"emotion.":[81],"In":[82,104],"third":[84],"extracted":[87],"selected":[90],"pre-weighted":[92],"based":[93,137],"on":[94,138],"weighting":[97],"algorithms":[98],"(ReliefF),":[99],"max-relevance":[100],"min-redundancy":[102],"(mRMR).":[103],"final":[106],"led":[111],"convolutional":[114],"neural":[115],"network":[116],"long":[119],"short-term":[120],"memory":[121],"(CNN-LSTM)":[122],"combination":[123],"model":[124,157],"recognize":[126],"experimental":[130],"results":[131],"approve":[132],"that":[133],"CNN-LSTM":[136],"ReliefF":[139],"&":[140],"mRMR":[141],"(RM-CNN-LSTM)":[142],"processing":[144],"method":[145],"could":[146],"obtain":[147],"higher":[148],"identification":[149],"accuracy,":[150],"all":[152],"indicators":[153],"improve":[158],"significantly.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}