{"id":"https://openalex.org/W2902164989","doi":"https://doi.org/10.23919/eusipco.2018.8553059","title":"Beat Tracking using Recurrent Neural Network: A Transfer Learning Approach","display_name":"Beat Tracking using Recurrent Neural Network: A Transfer Learning Approach","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902164989","doi":"https://doi.org/10.23919/eusipco.2018.8553059","mag":"2902164989"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553059","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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/A5016883028","display_name":"Davide Fiocchi","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Fiocchi","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051699082","display_name":"Michele Buccoli","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Buccoli","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012574855","display_name":"Massimiliano Zanoni","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimiliano Zanoni","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082156387","display_name":"Fabio Antonacci","orcid":"https://orcid.org/0000-0003-4545-0315"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Antonacci","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051897828","display_name":"Augusto Sarti","orcid":"https://orcid.org/0000-0002-5803-1702"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Augusto Sarti","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3325,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58639119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1915","last_page":"1919"},"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":0.9977999925613403,"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/T10860","display_name":"Speech and Audio Processing","score":0.9973000288009644,"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":0.8589882850646973},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7874584197998047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660919725894928},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.644463062286377},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5784156322479248},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5313292741775513},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5228053331375122},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5224905610084534},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.49169641733169556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46777477860450745},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3352987766265869},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32081156969070435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8589882850646973},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7874584197998047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660919725894928},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.644463062286377},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5784156322479248},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5313292741775513},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5228053331375122},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5224905610084534},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.49169641733169556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46777477860450745},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3352987766265869},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32081156969070435},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553059","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1158414","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1158414","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W89500126","https://openalex.org/W1519655822","https://openalex.org/W1601722049","https://openalex.org/W2016885049","https://openalex.org/W2064675550","https://openalex.org/W2117330939","https://openalex.org/W2131774270","https://openalex.org/W2140304104","https://openalex.org/W2165698076","https://openalex.org/W2350911425","https://openalex.org/W2402118560","https://openalex.org/W2404298818","https://openalex.org/W2514189472","https://openalex.org/W2566709934","https://openalex.org/W2572771584","https://openalex.org/W2604959036","https://openalex.org/W2954834056","https://openalex.org/W2963451564","https://openalex.org/W2963550089","https://openalex.org/W6631117800","https://openalex.org/W6713195707","https://openalex.org/W6736327223","https://openalex.org/W6765446919","https://openalex.org/W6941176339"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3008584592","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Deep":[0],"learning":[1,18,135],"networks":[2,19,38],"have":[3],"been":[4,101],"successfully":[5],"applied":[6,41],"to":[7,64,73,104,122,132,157,166],"solve":[8],"a":[9,45,80,106,109,141,175],"large":[10,110],"number":[11],"of":[12,16,28,48,60,68,160,170,177],"tasks.":[13],"The":[14],"effectiveness":[15,169],"deep":[17,142],"is":[20,57,79],"limited":[21],"by":[22],"the":[23,26,32,58,65,116,146,168,185],"amount":[24,47],"and":[25,76,91,113,153,181],"variety":[27],"data":[29,49,78],"used":[30],"for":[31,83,88,136],"training.":[33],"For":[34],"this":[35,56,96,126],"reason,":[36],"deep-learning":[37],"can":[39],"be":[40],"in":[42],"scenarios":[43],"where":[44],"huge":[46],"are":[50],"available.":[51],"In":[52,125,164],"music":[53,70],"information":[54],"retrieval,":[55],"case":[59],"popular":[61,151],"genres":[62],"due":[63],"wider":[66],"availability":[67],"annotated":[69],"pieces.":[71,186],"Instead,":[72],"find":[74],"sufficient":[75],"useful":[77],"hard":[81],"task":[82],"non":[84],"widespread":[85],"genres,":[86],"like,":[87],"instance,":[89],"traditional":[90],"folk":[92,162,179],"music.":[93,163],"To":[94],"address":[95],"issue,":[97],"Transfer":[98],"Learning":[99],"has":[100],"proposed,":[102],"i.e.,":[103],"train":[105],"network":[107,148],"using":[108],"available":[111],"dataset":[112,176],"then":[114],"transfer":[115,134,155],"learned":[117],"knowledge":[118],"(the":[119],"hierarchical":[120],"representation)":[121],"another":[123],"task.":[124],"work,":[127],"we":[128,154,173,182],"propose":[129],"an":[130],"approach":[131],"apply":[133],"beat":[137],"tracking.":[138],"We":[139],"use":[140],"BLSTM-based":[143],"RNN":[144],"as":[145],"starting":[147],"trained":[149],"on":[150],"music,":[152,180],"it":[156],"track":[158],"beats":[159],"Greek":[161,178],"order":[165],"evaluate":[167],"our":[171],"approach,":[172],"collect":[174],"manually":[183],"annotate":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
