{"id":"https://openalex.org/W4304091720","doi":"https://doi.org/10.1145/3503161.3548372","title":"Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks","display_name":"Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304091720","doi":"https://doi.org/10.1145/3503161.3548372"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548372","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"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":"Proceedings of the 30th ACM International Conference on Multimedia","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/A5071646953","display_name":"Pedro Ramoneda","orcid":"https://orcid.org/0000-0002-4017-537X"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Ramoneda","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055794128","display_name":"Dasaem Jeong","orcid":"https://orcid.org/0009-0002-3655-1181"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dasaem Jeong","raw_affiliation_strings":["Sogang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sogang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043140898","display_name":"Eita Nakamura","orcid":"https://orcid.org/0000-0003-4097-6027"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eita Nakamura","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006479715","display_name":"Xavier Serra","orcid":"https://orcid.org/0000-0003-1395-2345"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier Serra","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039915904","display_name":"Marius Miron","orcid":"https://orcid.org/0000-0002-2563-075X"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Marius Miron","raw_affiliation_strings":["Universitat Pompeu Fabra, Barcelona, CT, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Pompeu Fabra, Barcelona, CT, Spain","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1067,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79218277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6502","last_page":"6510"},"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/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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9818000197410583,"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/computer-science","display_name":"Computer science","score":0.8160619139671326},{"id":"https://openalex.org/keywords/piano","display_name":"Piano","score":0.7575355768203735},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6695224642753601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5728378295898438},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5643043518066406},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5579389333724976},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4547329545021057},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.45361921191215515},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4509172737598419},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4482279121875763},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41995877027511597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8160619139671326},{"id":"https://openalex.org/C124086623","wikidata":"https://www.wikidata.org/wiki/Q5994","display_name":"Piano","level":2,"score":0.7575355768203735},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6695224642753601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5728378295898438},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5643043518066406},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5579389333724976},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4547329545021057},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.45361921191215515},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4509172737598419},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4482279121875763},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41995877027511597},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548372","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"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":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1032624216","display_name":null,"funder_award_id":"/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G1105844351","display_name":null,"funder_award_id":"10.13039.501100011033","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G1175115578","display_name":null,"funder_award_id":"AEI//10.13039/501100011033/","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G300979063","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G425668148","display_name":null,"funder_award_id":".13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G472979209","display_name":"Support for middle and old aged persons in playing piano with automatic music recommendation and arrangement, and vertical line notation and automatic accompaniment system","funder_award_id":"21K12187","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5080475149","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5555131222","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7600066815","display_name":"\u53e4\u4ee3\u8aac\u8a71\u306b\u304a\u3051\u308b\u8af8\u5bfa\u7e01\u8d77\u306e\u7814\u7a76","funder_award_id":"13039","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7805626310","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G7863371703","display_name":null,"funder_award_id":".13039/501100011033","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G8130184278","display_name":null,"funder_award_id":"I00/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8497050386","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320315062","funder_display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades"},{"id":"https://openalex.org/G8684520763","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320315062","display_name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","ror":null},{"id":"https://openalex.org/F4320321377","display_name":"Sogang University","ror":"https://ror.org/056tn4839"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W395933519","https://openalex.org/W627503761","https://openalex.org/W1514829146","https://openalex.org/W1761237432","https://openalex.org/W2127132706","https://openalex.org/W2174276655","https://openalex.org/W2183341477","https://openalex.org/W2552810951","https://openalex.org/W2560647685","https://openalex.org/W2583498619","https://openalex.org/W2807087953","https://openalex.org/W2890285072","https://openalex.org/W2963459241","https://openalex.org/W2998119150","https://openalex.org/W3042609801","https://openalex.org/W4225923022","https://openalex.org/W4226057428"],"related_works":["https://openalex.org/W2021413527","https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W2168403679","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295"],"abstract_inverted_index":{"Piano":[0],"fingering":[1,56,107,131],"is":[2],"a":[3,59,88,133,173,239],"creative":[4],"and":[5,40,83,102,208,220,228],"highly":[6],"individualised":[7],"task":[8,236],"acquired":[9],"by":[10,69],"musicians":[11],"progressively":[12],"in":[13],"their":[14],"first":[15,147],"music":[16],"education":[17],"years.":[18],"Pianists":[19],"must":[20],"learn":[21],"to":[22,28,164,198,233],"choose":[23],"the":[24,30,92,94,138,146,150,182,185,205,211,215,235],"order":[25],"of":[26,63,105,114,154],"fingers":[27],"play":[29],"piano":[31,55,75,106,130],"keys":[32],"because":[33],"scores":[34],"do":[35],"not":[36],"have":[37,50],"engraved":[38],"finger":[39,82,142],"hand":[41,84],"movements":[42],"as":[43,132],"other":[44],"technique":[45],"elements.":[46],"Numerous":[47],"research":[48],"efforts":[49],"been":[51,172],"conducted":[52],"for":[53,80,91,127,242],"automatic":[54,129],"based":[57],"on":[58,184,204],"previous":[60,155,177],"dataset":[61,90,207],"composed":[62],"150":[64],"score":[65],"excerpts":[66],"fully":[67],"annotated":[68],"multiple":[70],"expert":[71,187],"annotators.":[72,111],"However,":[73],"most":[74],"sheets":[76],"include":[77],"partial":[78,101],"annotations":[79,104,188],"problematic":[81],"movements.":[85],"We":[86,144],"introduce":[87],"novel":[89],"task,":[93],"ThumbSet":[95,206],"dataset,":[96,226],"containing":[97],"2523":[98],"pieces":[99],"with":[100,123,149],"noisy":[103],"crowdsourced":[108],"from":[109],"non-expert":[110],"As":[112],"part":[113],"our":[115],"methodology,":[116],"we":[117,180,195],"propose":[118],"two":[119],"autoregressive":[120],"neural":[121,162,222],"networks":[122,163],"beam":[124],"search":[125],"decoding":[126],"modelling":[128],"sequence-to-sequence":[134],"learning":[135],"problem,":[136],"considering":[137],"correlation":[139],"between":[140],"output":[141],"labels.":[143],"design":[145],"model":[148,159],"exact":[151],"pitch":[152],"representation":[153],"proposals.":[156],"The":[157,190],"second":[158],"uses":[160],"graph":[161],"more":[165],"effectively":[166],"represent":[167],"polyphony,":[168],"whose":[169],"treatment":[170],"has":[171],"common":[174],"issue":[175],"across":[176],"studies.":[178],"Finally,":[179],"finetune":[181],"models":[183,213,219],"existing":[186],"dataset.":[189],"evaluation":[191],"shows":[192],"that":[193,209],"(1)":[194],"are":[196,230],"able":[197],"achieve":[199],"high":[200],"performance":[201],"when":[202],"training":[203],"(2)":[210],"proposed":[212],"outperform":[214],"state-of-the-art":[216],"hidden":[217],"Markov":[218],"recurrent":[221],"network":[223],"baselines.":[224],"Code,":[225],"models,":[227],"results":[229],"made":[231],"available":[232],"enhance":[234],"reproducibility,":[237],"including":[238],"new":[240],"framework":[241],"evaluation.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
