{"id":"https://openalex.org/W2574540082","doi":"https://doi.org/10.1109/mmsp.2016.7813377","title":"Novel affective features for multiscale prediction of emotion in music","display_name":"Novel affective features for multiscale prediction of emotion in music","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2574540082","doi":"https://doi.org/10.1109/mmsp.2016.7813377","mag":"2574540082"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2016.7813377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","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/A5038851380","display_name":"Naveen Kumar","orcid":"https://orcid.org/0000-0001-7015-9613"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naveen Kumar","raw_affiliation_strings":["Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021354054","display_name":"Tanaya Guha","orcid":"https://orcid.org/0000-0003-2167-4891"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Tanaya Guha","raw_affiliation_strings":["Electrical Engineering, Indian Institute of Technology, Kanpur, India","Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering, Indian Institute of Technology, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100891231","display_name":"Che-Wei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Che-Wei Huang","raw_affiliation_strings":["Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082491203","display_name":"Colin Vaz","orcid":"https://orcid.org/0000-0002-5709-7953"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Colin Vaz","raw_affiliation_strings":["Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010028928","display_name":"Shrikanth Narayanan","orcid":"https://orcid.org/0000-0002-1052-6204"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrikanth S Narayanan","raw_affiliation_strings":["Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles"],"affiliations":[{"raw_affiliation_string":"Signal Analysis and Interpretation Laboratory (SAIL), University of Southern California, Los Angeles","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038851380"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57097773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9962000250816345,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.7677316665649414},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6360659599304199},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.5868530869483948},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.5502458214759827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5324799418449402},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.47715944051742554},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4764830768108368},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.457973450422287},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.45794978737831116},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4412629008293152},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35605037212371826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33927732706069946},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08502119779586792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7677316665649414},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6360659599304199},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5868530869483948},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.5502458214759827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5324799418449402},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.47715944051742554},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4764830768108368},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.457973450422287},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.45794978737831116},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4412629008293152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35605037212371826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33927732706069946},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08502119779586792},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2016.7813377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W113940810","https://openalex.org/W168588848","https://openalex.org/W1451760825","https://openalex.org/W1569206236","https://openalex.org/W1638203394","https://openalex.org/W1694080526","https://openalex.org/W1983507146","https://openalex.org/W1985444590","https://openalex.org/W2047194288","https://openalex.org/W2047337856","https://openalex.org/W2090777335","https://openalex.org/W2128859735","https://openalex.org/W2129285401","https://openalex.org/W2135029798","https://openalex.org/W2141714363","https://openalex.org/W2142036814","https://openalex.org/W2158863190","https://openalex.org/W2171848217","https://openalex.org/W2185845146","https://openalex.org/W2206117390","https://openalex.org/W2294891765","https://openalex.org/W2341090665","https://openalex.org/W2399943434","https://openalex.org/W2550228539","https://openalex.org/W2582697902","https://openalex.org/W2916566921","https://openalex.org/W3012839754","https://openalex.org/W4388328369","https://openalex.org/W6606989726","https://openalex.org/W6636753242","https://openalex.org/W6679260625","https://openalex.org/W6680837174","https://openalex.org/W6686053107","https://openalex.org/W6697277549","https://openalex.org/W6712935731","https://openalex.org/W6729182621"],"related_works":["https://openalex.org/W3080495370","https://openalex.org/W4391307871","https://openalex.org/W4392502551","https://openalex.org/W4285597148","https://openalex.org/W4380370144","https://openalex.org/W2141866768","https://openalex.org/W3038982524","https://openalex.org/W1876223856","https://openalex.org/W2787157782","https://openalex.org/W2744525623"],"abstract_inverted_index":{"The":[0,49],"majority":[1],"of":[2,40,51,90],"computational":[3],"work":[4],"on":[5,10,25],"emotion":[6,129,144],"in":[7,69,127],"music":[8,91],"concentrates":[9],"developing":[11],"machine":[12],"learning":[13],"methodologies":[14],"to":[15,35,84,110,141],"build":[16],"new,":[17],"more":[18],"accurate":[19],"prediction":[20],"systems,":[21],"and":[22,38,76,103,123],"usually":[23],"relies":[24],"generic":[26,111],"acoustic":[27],"features.":[28,113,149],"Relatively":[29],"less":[30],"effort":[31],"has":[32],"been":[33],"put":[34],"the":[36,47,57,66,86,117,120,124,128],"development":[37],"analysis":[39],"features":[41,61,72,81,122],"that":[42,62,96],"are":[43,73,82],"particularly":[44],"suited":[45],"for":[46],"task.":[48],"contribution":[50],"this":[52,132],"paper":[53,58],"is":[54],"twofold.":[55],"First,":[56],"proposes":[59],"two":[60],"can":[63,98],"efficiently":[64],"capture":[65,85],"emotion-related":[67],"properties":[68],"music.":[70],"These":[71,80],"named":[74],"compressibility":[75],"sparse":[77],"spectral":[78],"components.":[79],"designed":[83],"overall":[87],"affective":[88],"characteristics":[89],"(global":[92],"features).":[93],"We":[94],"demonstrate":[95],"they":[97],"predict":[99,142],"emotional":[100],"dimensions":[101],"(arousal":[102],"valence)":[104],"with":[105],"high":[106],"accuracy":[107],"as":[108],"compared":[109],"audio":[112],"Secondly,":[114],"we":[115,134],"investigate":[116],"relationship":[118],"between":[119],"proposed":[121],"dynamic":[125,143],"variation":[126],"ratings.":[130],"To":[131],"end,":[133],"propose":[135],"a":[136],"novel":[137],"Haar":[138],"transform-based":[139],"technique":[140],"ratings":[145],"using":[146],"only":[147],"global":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
