{"id":"https://openalex.org/W2130737746","doi":"https://doi.org/10.1109/icassp.2008.4518085","title":"Rhythmic similarity of music based on dynamic periodicity warping","display_name":"Rhythmic similarity of music based on dynamic periodicity warping","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2130737746","doi":"https://doi.org/10.1109/icassp.2008.4518085","mag":"2130737746"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4518085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518085","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5012131168","display_name":"Andr\u00e9 Holzapfel","orcid":"https://orcid.org/0000-0003-1679-6018"},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Andre Holzapfel","raw_affiliation_strings":["Multimedia Informatics Laboratory, Computer Science Department, University of Crete, Greece","Comput. Sci. Dept., Univ. of Crete, Heraklion#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Informatics Laboratory, Computer Science Department, University of Crete, Greece","institution_ids":["https://openalex.org/I142617266"]},{"raw_affiliation_string":"Comput. Sci. Dept., Univ. of Crete, Heraklion#TAB#","institution_ids":["https://openalex.org/I142617266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035745788","display_name":"Yannis Stylianou","orcid":null},"institutions":[{"id":"https://openalex.org/I142617266","display_name":"University of Crete","ror":"https://ror.org/00dr28g20","country_code":"GR","type":"education","lineage":["https://openalex.org/I142617266"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Stylianou","raw_affiliation_strings":["Multimedia Informatics Laboratory, Computer Science Department, University of Crete, Greece","Comput. Sci. Dept., Univ. of Crete, Heraklion#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Informatics Laboratory, Computer Science Department, University of Crete, Greece","institution_ids":["https://openalex.org/I142617266"]},{"raw_affiliation_string":"Comput. Sci. Dept., Univ. of Crete, Heraklion#TAB#","institution_ids":["https://openalex.org/I142617266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142617266"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"2217","last_page":"2220"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9930999875068665,"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"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.8686467409133911},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7843871116638184},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7119032740592957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6973245739936829},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.678615927696228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6753411293029785},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.6220159530639648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6003103256225586},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5193846821784973},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4644721746444702},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44981294870376587},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3355976939201355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0763353705406189}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8686467409133911},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7843871116638184},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7119032740592957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973245739936829},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.678615927696228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6753411293029785},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.6220159530639648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003103256225586},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5193846821784973},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4644721746444702},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44981294870376587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3355976939201355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0763353705406189},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2008.4518085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518085","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.499.9875","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.499.9875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csd.uoc.gr/~hannover/MMILab-Andre_files/ICASSP08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W11703657","https://openalex.org/W44499633","https://openalex.org/W168712871","https://openalex.org/W183565988","https://openalex.org/W1501078361","https://openalex.org/W1524450315","https://openalex.org/W2120132744","https://openalex.org/W2155764689","https://openalex.org/W2335085822","https://openalex.org/W6600475410","https://openalex.org/W6601738571","https://openalex.org/W6606805861","https://openalex.org/W6607478595","https://openalex.org/W6629849291","https://openalex.org/W6631264456"],"related_works":["https://openalex.org/W2513074791","https://openalex.org/W2182136398","https://openalex.org/W2347413598","https://openalex.org/W2319693127","https://openalex.org/W2014214435","https://openalex.org/W2032415964","https://openalex.org/W3049200503","https://openalex.org/W2052451333","https://openalex.org/W3141827490","https://openalex.org/W2096989899"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,38,45,81],"new":[4],"way":[5],"to":[6,19,61],"measure":[7,39,55,88],"rhythmic":[8,42],"similarity":[9,21],"between":[10,33],"two":[11,51],"musical":[12],"pieces":[13,23],"using":[14],"periodicity":[15],"spectra.":[16],"In":[17],"order":[18],"detect":[20],"for":[22,69],"of":[24,29,40,64,84,96,101],"different":[25],"tempi,":[26,85],"the":[27,30,53,62,70,74,86,99,102,108],"linearity":[28],"warping":[31],"path":[32],"their":[34,41],"spectra":[35],"serves":[36],"as":[37],"similarity.":[43],"Using":[44],"modified":[46],"kNN":[47],"classification":[48,58],"approach":[49],"on":[50],"datasets,":[52],"proposed":[54,87],"provides":[56],"comparable":[57],"accuracy":[59,95],"(82.1%)":[60],"best":[63,100],"widely":[65],"used":[66],"measures":[67,104],"(85.5%)":[68],"first":[71],"dataset;":[72],"For":[73],"second":[75],"dataset,":[76],"which":[77],"is":[78,119],"characterized":[79],"by":[80],"large":[82],"variance":[83],"outperforms":[89],"all":[90],"reference":[91],"measures,":[92],"reaching":[93],"an":[94],"69.0%,":[97],"while":[98],"other":[103],"reaches":[105],"53.8%.":[106],"Moreover,":[107],"presented":[109],"technique":[110],"works":[111],"fully":[112],"automatically,":[113],"and":[114],"no":[115],"information":[116],"regarding":[117],"tempo":[118],"needed.":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
