{"id":"https://openalex.org/W2260696579","doi":"https://doi.org/10.1109/taffc.2015.2462841","title":"Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation","display_name":"Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation","publication_year":2015,"publication_date":"2015-07-30","ids":{"openalex":"https://openalex.org/W2260696579","doi":"https://doi.org/10.1109/taffc.2015.2462841","mag":"2260696579"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2015.2462841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2015.2462841","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://durham-repository.worktribe.com/output/1424031","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041892847","display_name":"Pasi Saari","orcid":"https://orcid.org/0000-0001-7795-2307"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Pasi Saari","raw_affiliation_strings":["Department of Music, University of Jyvaskyla, Jyv\u00e4skyl\u00e4n, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Music, University of Jyvaskyla, Jyv\u00e4skyl\u00e4n, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032485940","display_name":"Gy\u00f6rgy Fazekas","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gyorgy Fazekas","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039535349","display_name":"Tuomas Eerola","orcid":"https://orcid.org/0000-0002-2896-929X"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tuomas Eerola","raw_affiliation_strings":["Department of Music, Durham University, Durham"],"affiliations":[{"raw_affiliation_string":"Department of Music, Durham University, Durham","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074494743","display_name":"Mathieu Barthet","orcid":"https://orcid.org/0000-0002-9869-1668"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mathieu Barthet","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032798767","display_name":"Olivier Lartillot","orcid":"https://orcid.org/0000-0001-6129-686X"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Olivier Lartillot","raw_affiliation_strings":["Department for Architecture, Design and Media Technology, Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department for Architecture, Design and Media Technology, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076173089","display_name":"M. Sandler","orcid":"https://orcid.org/0000-0002-5691-8107"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Sandler","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041892847"],"corresponding_institution_ids":["https://openalex.org/I94722563"],"apc_list":null,"apc_paid":null,"fwci":4.0519,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.94750445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"2","first_page":"122","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9886999726295471,"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":0.710239052772522},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.6484665870666504},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.6189772486686707},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5412710309028625},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.5271938443183899},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.48152121901512146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43691834807395935},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4196379780769348},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36453717947006226},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1507907211780548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710239052772522},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.6484665870666504},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.6189772486686707},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5412710309028625},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.5271938443183899},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.48152121901512146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43691834807395935},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4196379780769348},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36453717947006226},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1507907211780548},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/taffc.2015.2462841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2015.2462841","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:16198","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/16198/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196258","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE transactions on affective computing, 2016, Vol.7(2), pp.122-135 [Peer Reviewed Journal]","raw_type":"Article"},{"id":"pmh:oai:durham-repository.worktribe.com:1424031","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1424031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:pure.atira.dk:publications/e606b23c-1b08-46bb-b797-acb4abd96ef4","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/e606b23c-1b08-46bb-b797-acb4abd96ef4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saari , P , Fazekas , G , Eerola , T , Barthet , M , Lartillot , O & Sandler , M 2016 , ' Genre-adaptive Semantic Computing and Audio-based Modelling for Music Mood Annotation ' , IEEE Transactions on Affective Computing , vol. 7 , no. 2 , pp. 122-135 . https://doi.org/10.1109/TAFFC.2015.2462841","raw_type":"article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/31904","is_oa":false,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/31904","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:1424031","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1424031","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G4420359434","display_name":null,"funder_award_id":"ES/K00753X/1","funder_id":"https://openalex.org/F4320334630","funder_display_name":"Economic and Social Research Council"},{"id":"https://openalex.org/G8217561489","display_name":null,"funder_award_id":"EP/L019981/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334630","display_name":"Economic and Social Research Council","ror":"https://ror.org/03n0ht308"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W13350936","https://openalex.org/W22002791","https://openalex.org/W41198089","https://openalex.org/W79265767","https://openalex.org/W172133891","https://openalex.org/W207683342","https://openalex.org/W1175093535","https://openalex.org/W1551909886","https://openalex.org/W1576667197","https://openalex.org/W1583199729","https://openalex.org/W1599172435","https://openalex.org/W1790719788","https://openalex.org/W1866281937","https://openalex.org/W1966797434","https://openalex.org/W1976188280","https://openalex.org/W1979955134","https://openalex.org/W1983507146","https://openalex.org/W1994349856","https://openalex.org/W1997898747","https://openalex.org/W2011853905","https://openalex.org/W2016136491","https://openalex.org/W2018275543","https://openalex.org/W2023736093","https://openalex.org/W2026844232","https://openalex.org/W2034371412","https://openalex.org/W2037744768","https://openalex.org/W2041291477","https://openalex.org/W2042266440","https://openalex.org/W2051224630","https://openalex.org/W2056507581","https://openalex.org/W2065261119","https://openalex.org/W2067329295","https://openalex.org/W2087407704","https://openalex.org/W2089705003","https://openalex.org/W2092804630","https://openalex.org/W2101151533","https://openalex.org/W2102775690","https://openalex.org/W2108672713","https://openalex.org/W2115568835","https://openalex.org/W2116373735","https://openalex.org/W2126863010","https://openalex.org/W2127194932","https://openalex.org/W2133824856","https://openalex.org/W2144383041","https://openalex.org/W2147152072","https://openalex.org/W2148600927","https://openalex.org/W2149628368","https://openalex.org/W2153631221","https://openalex.org/W2153635508","https://openalex.org/W2153719147","https://openalex.org/W2159561775","https://openalex.org/W2164480306","https://openalex.org/W2165874743","https://openalex.org/W2171848217","https://openalex.org/W2341090665","https://openalex.org/W2394823494","https://openalex.org/W2398831245","https://openalex.org/W2912934387","https://openalex.org/W2938558181","https://openalex.org/W3100472103","https://openalex.org/W3217467030","https://openalex.org/W4210806553","https://openalex.org/W4212883601","https://openalex.org/W4241492945","https://openalex.org/W4255916246","https://openalex.org/W4292478130","https://openalex.org/W6600873845","https://openalex.org/W6601668641","https://openalex.org/W6603211394","https://openalex.org/W6606950356","https://openalex.org/W6608508128","https://openalex.org/W6633119224","https://openalex.org/W6634842559","https://openalex.org/W6635859925","https://openalex.org/W6638079483","https://openalex.org/W6684578312","https://openalex.org/W6704344484","https://openalex.org/W6712065195","https://openalex.org/W6712198858","https://openalex.org/W6805302155","https://openalex.org/W6894146036"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2013608943","https://openalex.org/W4399628019","https://openalex.org/W4310841718"],"abstract_inverted_index":{"This":[0],"study":[1,154],"investigates":[2],"whether":[3],"taking":[4],"genre":[5,104,143,164],"into":[6,159],"account":[7],"is":[8,129,145],"beneficial":[9],"for":[10,124,137,148,166],"automatic":[11],"music":[12,85,168],"mood":[13,29,169],"annotation":[14],"in":[15,64,118],"terms":[16],"of":[17,51,82,142,151],"core":[18,134],"affects":[19],"valence,":[20],"arousal,":[21],"and":[22,37,60,106,111],"tension,":[23],"as":[24,26],"well":[25],"several":[27],"other":[28,112],"scales.":[30],"Novel":[31],"techniques":[32,70,110],"employing":[33],"genre-adaptive":[34,48,66,113,167],"semantic":[35,49,58,97],"computing":[36,50,59,98],"audio-based":[38,61,138],"modelling":[39],"are":[40,71,122],"proposed.":[41],"A":[42],"technique":[43,99],"called":[44],"the":[45,119,125,131,149],"ACTwg":[46,94],"employs":[47],"mood-related":[52],"social":[53],"tags,":[54],"whereas":[55],"ACTwg-SLPwg":[56,107],"combines":[57],"modelling,":[62],"both":[63],"a":[65,80,96,161],"manner.":[67],"The":[68,90,140,153],"proposed":[69],"experimentally":[72],"evaluated":[73],"at":[74],"predicting":[75],"listener":[76],"ratings":[77],"related":[78],"to":[79],"set":[81],"600":[83],"popular":[84],"tracks":[86],"spanning":[87],"multiple":[88],"genres.":[89],"results":[91],"show":[92],"that":[93,100],"outperforms":[95,108],"does":[101],"not":[102,146],"exploit":[103],"information,":[105],"conventional":[109],"alternatives.":[114],"In":[115],"particular,":[116],"improvements":[117],"prediction":[120],"rates":[121],"obtained":[123],"valence":[126],"dimension":[127,136],"which":[128],"typically":[130],"most":[132],"challenging":[133],"affect":[135],"annotation.":[139],"specificity":[141],"categories":[144],"crucial":[147],"performance":[150],"ACTwg-SLPwg.":[152],"also":[155],"presents":[156],"analytical":[157],"insights":[158],"inferring":[160],"concise":[162],"tag-based":[163],"representation":[165],"analysis.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}