{"id":"https://openalex.org/W2154022775","doi":"https://doi.org/10.1109/icassp.2014.6853979","title":"Linear regression-based adaptation of music emotion recognition models for personalization","display_name":"Linear regression-based adaptation of music emotion recognition models for personalization","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2154022775","doi":"https://doi.org/10.1109/icassp.2014.6853979","mag":"2154022775"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100400867","display_name":"Yuan Chen","orcid":"https://orcid.org/0000-0001-5094-8009"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-An Chen","raw_affiliation_strings":["National Taiwan University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065288078","display_name":"Ju-Chiang Wang","orcid":"https://orcid.org/0009-0002-8265-4229"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ju-Chiang Wang","raw_affiliation_strings":["Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061291906","display_name":"Yi\u2010Hsuan Yang","orcid":"https://orcid.org/0000-0002-2724-6161"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Hsuan Yang","raw_affiliation_strings":["Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046838550","display_name":"Homer H. Chen","orcid":"https://orcid.org/0000-0002-8795-1911"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Homer Chen","raw_affiliation_strings":["National Taiwan University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2149","last_page":"2153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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/T10860","display_name":"Speech 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/T11349","display_name":"Music Technology and Sound Studies","score":0.9970999956130981,"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":0.7959062457084656},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7197471261024475},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4855670630931854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45308366417884827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4410054683685303},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.401054710149765},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3389439582824707},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13103148341178894},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10160472989082336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959062457084656},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7197471261024475},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4855670630931854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45308366417884827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4410054683685303},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.401054710149765},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3389439582824707},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13103148341178894},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10160472989082336},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6853979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320321041","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W117579468","https://openalex.org/W625810977","https://openalex.org/W858155270","https://openalex.org/W1532212341","https://openalex.org/W1557279451","https://openalex.org/W1655784964","https://openalex.org/W1663973292","https://openalex.org/W1681110167","https://openalex.org/W1868379447","https://openalex.org/W1976188280","https://openalex.org/W2002055708","https://openalex.org/W2002342963","https://openalex.org/W2017114040","https://openalex.org/W2033178790","https://openalex.org/W2041823554","https://openalex.org/W2090151917","https://openalex.org/W2100969003","https://openalex.org/W2135475818","https://openalex.org/W2141517887","https://openalex.org/W2146871184","https://openalex.org/W2149628368","https://openalex.org/W2152491694","https://openalex.org/W2160929029","https://openalex.org/W2166521182","https://openalex.org/W2341090665","https://openalex.org/W2503960417","https://openalex.org/W3217467030","https://openalex.org/W4205952203","https://openalex.org/W4212863985","https://openalex.org/W4238215782","https://openalex.org/W6623798586","https://openalex.org/W6633198805","https://openalex.org/W6639041776","https://openalex.org/W6680148019","https://openalex.org/W6704344484","https://openalex.org/W6805302155"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618","https://openalex.org/W2466503045","https://openalex.org/W1868271753"],"abstract_inverted_index":{"Personalization":[0],"techniques":[1],"can":[2],"be":[3],"applied":[4],"to":[5,69,85,94],"address":[6],"the":[7,45,87,96,99,122,125],"subjectivity":[8],"issue":[9],"of":[10,42,98,124],"music":[11,18,27,57,116],"emotion":[12,28,58,117],"recognition,":[13],"which":[14],"is":[15,33],"important":[16],"for":[17,30,55,114],"information":[19],"retrieval.":[20],"However,":[21],"achieving":[22],"satisfactory":[23],"accuracy":[24],"in":[25,74,111],"personalized":[26,115],"recognition":[29],"a":[31,52,71,82,106],"user":[32],"difficult":[34],"because":[35],"it":[36],"requires":[37],"an":[38,62,75],"impractically":[39],"huge":[40],"amount":[41],"annotations":[43],"from":[44],"user.":[46],"In":[47],"this":[48,112],"paper,":[49],"we":[50],"adopt":[51],"probabilistic":[53],"framework":[54],"valence-arousal":[56],"modeling":[59],"and":[60],"propose":[61],"adaptation":[63],"method":[64,101],"based":[65],"on":[66,102],"linear":[67],"regression":[68],"personalize":[70],"background":[72],"model":[73,88],"online":[76],"learning":[77],"fashion.":[78],"We":[79],"also":[80],"incorporate":[81],"component-tying":[83],"strategy":[84],"enhance":[86],"flexibility.":[89],"Comprehensive":[90],"experiments":[91],"are":[92],"conducted":[93],"test":[95],"performance":[97],"proposed":[100,126],"three":[103],"datasets,":[104],"including":[105],"new":[107],"one":[108],"created":[109],"specifically":[110],"work":[113],"recognition.":[118],"Our":[119],"results":[120],"demonstrate":[121],"effectiveness":[123],"method.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}