{"id":"https://openalex.org/W4292794294","doi":"https://doi.org/10.1109/icmew56448.2022.9859459","title":"Emotional Quality Evaluation for Generated Music Based on Emotion Recognition Model","display_name":"Emotional Quality Evaluation for Generated Music Based on Emotion Recognition Model","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4292794294","doi":"https://doi.org/10.1109/icmew56448.2022.9859459"},"language":"en","primary_location":{"id":"doi:10.1109/icmew56448.2022.9859459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew56448.2022.9859459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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/A5039560771","display_name":"Hongfei Wang","orcid":"https://orcid.org/0000-0002-7028-7604"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongfei Wang","raw_affiliation_strings":["Ministry of Education,Key Laboratory of Media Audio & Video (Communication University of China),Beijing 100024,China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education,Key Laboratory of Media Audio & Video (Communication University of China),Beijing 100024,China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074654486","display_name":"Wei Zhong","orcid":"https://orcid.org/0000-0001-9325-6299"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhong","raw_affiliation_strings":["State Key Laboratory of Media Convergence and Communication (Communication University of China),Beijing 100024,China","State Key Laboratory of Media Convergence and Communication (Communication University of China), Beijing 100024, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication (Communication University of China),Beijing 100024,China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication (Communication University of China), Beijing 100024, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000900386","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-1338-2146"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Ministry of Education,Key Laboratory of Media Audio & Video (Communication University of China),Beijing 100024,China"],"affiliations":[{"raw_affiliation_string":"Ministry of Education,Key Laboratory of Media Audio & Video (Communication University of China),Beijing 100024,China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600271","display_name":"Long Ye","orcid":"https://orcid.org/0000-0002-3562-5612"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Ye","raw_affiliation_strings":["State Key Laboratory of Media Convergence and Communication (Communication University of China),Beijing 100024,China","State Key Laboratory of Media Convergence and Communication (Communication University of China), Beijing 100024, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication (Communication University of China),Beijing 100024,China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication (Communication University of China), Beijing 100024, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101914088","display_name":"Qin Zhang","orcid":"https://orcid.org/0000-0002-1023-480X"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Zhang","raw_affiliation_strings":["State Key Laboratory of Media Convergence and Communication (Communication University of China),Beijing 100024,China","State Key Laboratory of Media Convergence and Communication (Communication University of China), Beijing 100024, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication (Communication University of China),Beijing 100024,China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication (Communication University of China), Beijing 100024, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039560771"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.4458,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57879656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9897000193595886,"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":0.6923643350601196},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5910689830780029},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5495714545249939},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5312663912773132},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5291666984558105},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4830373227596283},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.450643390417099},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.44394224882125854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4290536642074585},{"id":"https://openalex.org/keywords/music-and-emotion","display_name":"Music and emotion","score":0.42473748326301575},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4217197299003601},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3903317451477051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34494754672050476},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1902979612350464},{"id":"https://openalex.org/keywords/music-education","display_name":"Music education","score":0.16585049033164978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0949203372001648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6923643350601196},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5910689830780029},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5495714545249939},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5312663912773132},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5291666984558105},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4830373227596283},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.450643390417099},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.44394224882125854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4290536642074585},{"id":"https://openalex.org/C10864753","wikidata":"https://www.wikidata.org/wiki/Q4353948","display_name":"Music and emotion","level":4,"score":0.42473748326301575},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4217197299003601},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3903317451477051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34494754672050476},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1902979612350464},{"id":"https://openalex.org/C13553968","wikidata":"https://www.wikidata.org/wiki/Q27908","display_name":"Music education","level":2,"score":0.16585049033164978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0949203372001648},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C535889608","wikidata":"https://www.wikidata.org/wiki/Q638","display_name":"Music","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew56448.2022.9859459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew56448.2022.9859459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2047317044","https://openalex.org/W2104977153","https://openalex.org/W2149628368","https://openalex.org/W2460431946","https://openalex.org/W2739665188","https://openalex.org/W2782255520","https://openalex.org/W2792351129","https://openalex.org/W2903580733","https://openalex.org/W2949950073","https://openalex.org/W3021047884","https://openalex.org/W3029858316","https://openalex.org/W3104194627","https://openalex.org/W3134753491","https://openalex.org/W3162751116","https://openalex.org/W3162970998","https://openalex.org/W3192490616","https://openalex.org/W4205518118","https://openalex.org/W4210412222","https://openalex.org/W4286859154","https://openalex.org/W6770160433","https://openalex.org/W6778572914","https://openalex.org/W6795512330","https://openalex.org/W6799448330"],"related_works":["https://openalex.org/W2783208898","https://openalex.org/W2103075368","https://openalex.org/W2293313493","https://openalex.org/W2132973233","https://openalex.org/W1549141376","https://openalex.org/W2249373807","https://openalex.org/W2348552445","https://openalex.org/W1995663108","https://openalex.org/W2738522467","https://openalex.org/W2886985033"],"abstract_inverted_index":{"In":[0,45,94],"the":[1,7,18,39,46,51,68,75,88,95,99,104,128],"field":[2],"of":[3,23,41,59,91,107,133],"musical":[4],"emotion":[5,43,57,76,89],"evaluation,":[6],"existing":[8],"methods":[9],"usually":[10],"use":[11],"subjective":[12],"experiments,":[13,96],"which":[14],"are":[15],"demanding":[16],"on":[17,82],"experimental":[19,111],"environment":[20],"and":[21,56,61,64,122],"lack":[22],"unified":[24],"evaluation":[25,33,132],"standard.":[26],"This":[27],"paper":[28],"proposes":[29],"an":[30],"emotional":[31,105,130],"quality":[32,106,131],"method":[34],"for":[35,127],"generated":[36,92,108,134],"music":[37,42],"from":[38],"perspective":[40],"recognition.":[44],"proposed":[47,100],"method,":[48],"we":[49,97],"analyze":[50],"correlation":[52],"between":[53],"audio":[54,71],"features":[55],"category":[58,90],"music,":[60],"choose":[62],"MFCC":[63],"Mel":[65],"spectrum":[66],"as":[67],"most":[69],"significant":[70],"features.":[72],"And":[73],"then":[74],"recognition":[77,120],"model":[78,101,116],"is":[79],"constructed":[80],"based":[81],"residual":[83],"convolutional":[84],"network":[85],"to":[86,102],"predict":[87],"music.":[93,109,135],"apply":[98],"evaluate":[103],"The":[110],"results":[112],"show":[113],"that":[114],"our":[115],"can":[117],"achieve":[118],"higher":[119],"accuracy":[121],"thus":[123],"exhibits":[124],"strong":[125],"reliability":[126],"objective":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}