{"id":"https://openalex.org/W2018830110","doi":"https://doi.org/10.1109/tmm.2014.2310701","title":"Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity","display_name":"Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity","publication_year":2014,"publication_date":"2014-03-11","ids":{"openalex":"https://openalex.org/W2018830110","doi":"https://doi.org/10.1109/tmm.2014.2310701","mag":"2018830110"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2014.2310701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2310701","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5103092198","display_name":"Joan Serr\u00e0","orcid":"https://orcid.org/0000-0003-1303-6558"},"institutions":[{"id":"https://openalex.org/I134820265","display_name":"Consejo Superior de Investigaciones Cient\u00edficas","ror":"https://ror.org/02gfc7t72","country_code":"ES","type":"government","lineage":["https://openalex.org/I134820265"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Serra","raw_affiliation_strings":["IIIA-CSIC, Bellaterra, Spain","IIIA-CSIC,Bellaterra,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIA-CSIC, Bellaterra, Spain","institution_ids":[]},{"raw_affiliation_string":"IIIA-CSIC,Bellaterra,Spain","institution_ids":["https://openalex.org/I134820265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109881851","display_name":"Meinard M\u00fcller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123192","display_name":"International Audio Laboratories Erlangen","ror":"https://ror.org/02mkz3e80","country_code":"DE","type":"facility","lineage":["https://openalex.org/I181369854","https://openalex.org/I4210123192","https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Meinard Muller","raw_affiliation_strings":["International Audio Laboratories Erlangen, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Audio Laboratories Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I4210123192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078194825","display_name":"Peter Grosche","orcid":"https://orcid.org/0000-0002-5525-5233"},"institutions":[{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]},{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Grosche","raw_affiliation_strings":["Saarland University and the Max-Planck Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saarland University and the Max-Planck Institut f\u00fcr Informatik, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076594164","display_name":"Josep Llu\u00eds Arcos","orcid":"https://orcid.org/0000-0001-7751-1210"},"institutions":[{"id":"https://openalex.org/I134820265","display_name":"Consejo Superior de Investigaciones Cient\u00edficas","ror":"https://ror.org/02gfc7t72","country_code":"ES","type":"government","lineage":["https://openalex.org/I134820265"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Josep Ll. Arcos","raw_affiliation_strings":["IIIA-CSIC, Bellaterra, Spain","IIIA-CSIC,Bellaterra,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIA-CSIC, Bellaterra, Spain","institution_ids":[]},{"raw_affiliation_string":"IIIA-CSIC,Bellaterra,Spain","institution_ids":["https://openalex.org/I134820265"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.2561,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.98190536,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"1229","last_page":"1240"},"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9853000044822693,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9819999933242798,"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":0.8338475227355957},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6737547516822815},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.668484091758728},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6141529083251953},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6056081652641296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5436813235282898},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.49433469772338867},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4730495512485504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4197545647621155},{"id":"https://openalex.org/keywords/musical-form","display_name":"Musical form","score":0.4135569632053375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38560938835144043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3750946521759033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33412760496139526},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.2780252993106842},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10301914811134338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8338475227355957},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6737547516822815},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.668484091758728},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6141529083251953},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6056081652641296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5436813235282898},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.49433469772338867},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4730495512485504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4197545647621155},{"id":"https://openalex.org/C196017715","wikidata":"https://www.wikidata.org/wiki/Q862597","display_name":"Musical form","level":3,"score":0.4135569632053375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38560938835144043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3750946521759033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33412760496139526},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.2780252993106842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10301914811134338},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tmm.2014.2310701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2310701","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:digital.csic.es:10261/132345","is_oa":false,"landing_page_url":"http://hdl.handle.net/10261/132345","pdf_url":null,"source":{"id":"https://openalex.org/S4306401639","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Art\u00edculo"},{"id":"pmh:oai:escidoc.org:escidoc:2072325","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0024-7FD2-5","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W37402343","https://openalex.org/W52048352","https://openalex.org/W78743328","https://openalex.org/W170732776","https://openalex.org/W179928807","https://openalex.org/W180220758","https://openalex.org/W591222336","https://openalex.org/W774637286","https://openalex.org/W1519655822","https://openalex.org/W1546357262","https://openalex.org/W1556200975","https://openalex.org/W1558398531","https://openalex.org/W1565212776","https://openalex.org/W1604262620","https://openalex.org/W1631041886","https://openalex.org/W1819763199","https://openalex.org/W2032085270","https://openalex.org/W2037558370","https://openalex.org/W2057587042","https://openalex.org/W2081681829","https://openalex.org/W2095514769","https://openalex.org/W2100816929","https://openalex.org/W2103041471","https://openalex.org/W2106374173","https://openalex.org/W2108078375","https://openalex.org/W2123991323","https://openalex.org/W2127566601","https://openalex.org/W2131739315","https://openalex.org/W2134902468","https://openalex.org/W2137319814","https://openalex.org/W2168249484","https://openalex.org/W2169719929","https://openalex.org/W2171841298","https://openalex.org/W2395069933","https://openalex.org/W2406901689","https://openalex.org/W2407544556","https://openalex.org/W2566129194","https://openalex.org/W2675366439","https://openalex.org/W3021051756","https://openalex.org/W3124661333","https://openalex.org/W4213053507","https://openalex.org/W4295134715","https://openalex.org/W4299429830","https://openalex.org/W6602117654","https://openalex.org/W6607283467","https://openalex.org/W6607482045","https://openalex.org/W6617581451","https://openalex.org/W6622633392","https://openalex.org/W6631117800","https://openalex.org/W6633831089","https://openalex.org/W6711953163","https://openalex.org/W6713620424","https://openalex.org/W6739918249"],"related_works":["https://openalex.org/W1485630101","https://openalex.org/W1892467659","https://openalex.org/W2498017833","https://openalex.org/W2370554703","https://openalex.org/W2441762250","https://openalex.org/W2057836452","https://openalex.org/W2187193317","https://openalex.org/W2989792202","https://openalex.org/W2980681082","https://openalex.org/W4288091845"],"abstract_inverted_index":{"Automatically":[0],"inferring":[1],"the":[2,44,108,131],"structural":[3],"properties":[4,60],"of":[5,46,61,96],"raw":[6],"multimedia":[7],"documents":[8],"is":[9,80,111],"essential":[10],"in":[11],"today's":[12],"digitized":[13],"society.":[14],"Given":[15],"its":[16],"hierarchical":[17],"and":[18,58,65,101,118],"multi-faceted":[19],"organization,":[20],"musical":[21],"pieces":[22],"represent":[23],"a":[24,35,62,94],"challenge":[25],"for":[26],"current":[27],"computational":[28],"systems.":[29],"In":[30],"this":[31],"article,":[32],"we":[33,122],"present":[34],"novel":[36],"approach":[37,110],"to":[38,68,82,87,113],"music":[39,99],"structure":[40,47],"annotation":[41],"based":[42],"on":[43],"combination":[45],"features":[48,54],"with":[49,93],"time":[50,63],"series":[51,78],"similarity.":[52],"Structure":[53],"encapsulate":[55],"both":[56],"local":[57],"global":[59],"series,":[64],"allow":[66],"us":[67],"detect":[69],"boundaries":[70],"between":[71],"homogeneous,":[72],"novel,":[73],"or":[74],"repeated":[75],"segments.":[76],"Time":[77],"similarity":[79],"used":[81],"identify":[83],"equivalent":[84],"segments,":[85],"corresponding":[86],"musically":[88],"meaningful":[89],"parts.":[90],"Extensive":[91],"tests":[92],"total":[95],"five":[97],"benchmark":[98],"collections":[100],"seven":[102],"different":[103,114],"human":[104],"annotations":[105],"show":[106],"that":[107,124],"proposed":[109],"robust":[112],"ground":[115],"truth":[116],"choices":[117],"parameter":[119],"settings.":[120],"Moreover,":[121],"see":[123],"it":[125],"outperforms":[126],"previous":[127],"approaches":[128],"evaluated":[129],"under":[130],"same":[132],"framework.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}