{"id":"https://openalex.org/W2805763736","doi":"https://doi.org/10.1109/icassp.2018.8461794","title":"A Parallel Fusion Approach to Piano Music Transcription Based on Convolutional Neural Network","display_name":"A Parallel Fusion Approach to Piano Music Transcription Based on Convolutional Neural Network","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2805763736","doi":"https://doi.org/10.1109/icassp.2018.8461794","mag":"2805763736"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5085073312","display_name":"Fuze Cong","orcid":"https://orcid.org/0000-0002-0947-2392"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu'ze Cong","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Ministry of Education, Beiiing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Ministry of Education, Beiiing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078926012","display_name":"Shu-Chang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuchang Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Ministry of Education, Beiiing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Ministry of Education, Beiiing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675165","display_name":"Li Guo","orcid":"https://orcid.org/0000-0002-9723-3294"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Guo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Ministry of Education, Beiiing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Ministry of Education, Beiiing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074298006","display_name":"Gera\u00ednt A. Wiggins","orcid":"https://orcid.org/0000-0002-1587-112X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geraint A. Wiggins","raw_affiliation_strings":["Department of Computer Science, Free University of Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Free University of Brussels, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9844,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87738874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"395"},"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":0.9976000189781189,"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":0.9969000220298767,"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":0.70425945520401},{"id":"https://openalex.org/keywords/piano","display_name":"Piano","score":0.7024545073509216},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6936253309249878},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4754335880279541},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.4536133110523224},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4502408802509308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3580928146839142},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0734899640083313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70425945520401},{"id":"https://openalex.org/C124086623","wikidata":"https://www.wikidata.org/wiki/Q5994","display_name":"Piano","level":2,"score":0.7024545073509216},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6936253309249878},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4754335880279541},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.4536133110523224},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4502408802509308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3580928146839142},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0734899640083313},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W189345193","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W2042390666","https://openalex.org/W2076608692","https://openalex.org/W2095705004","https://openalex.org/W2096482524","https://openalex.org/W2104298926","https://openalex.org/W2105143211","https://openalex.org/W2105343238","https://openalex.org/W2135151673","https://openalex.org/W2144414181","https://openalex.org/W2152937398","https://openalex.org/W2198584637","https://openalex.org/W2203202111","https://openalex.org/W2293202270","https://openalex.org/W2295460171","https://openalex.org/W2330952763","https://openalex.org/W2433636802","https://openalex.org/W2590294899","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6674330103","https://openalex.org/W6676113301","https://openalex.org/W6679714990","https://openalex.org/W6681236507","https://openalex.org/W6697000175","https://openalex.org/W6697171384","https://openalex.org/W6718206412"],"related_works":["https://openalex.org/W2998526951","https://openalex.org/W3119610945","https://openalex.org/W2735477435","https://openalex.org/W3181746755","https://openalex.org/W2521062615","https://openalex.org/W2901465038","https://openalex.org/W3090822330","https://openalex.org/W3120625693","https://openalex.org/W2160136308","https://openalex.org/W2168822216"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,37,72],"supervised":[4],"approach":[5,126],"based":[6,55],"on":[7,56,116],"Convolutional":[8],"Neural":[9],"Networks":[10],"(CNN)":[11],"for":[12,61],"polyphonic":[13],"piano":[14],"transcription":[15],"is":[16,36,59,78],"presented.":[17],"The":[18,32,52,74],"system":[19],"consists":[20],"of":[21,43,49,65,84,99],"pitch":[22,33,86,98],"detection":[23,26,34],"model,":[24,27],"onset/offset":[25,53,89],"and":[28,88,97,132],"note":[29,75],"search":[30,76],"model.":[31],"model":[35,54,77,87,90],"single-channel":[38],"CNN":[39,58],"predicting":[40],"the":[41,50,63,82,85,93,117,124],"probabilities":[42,64],"pitches":[44],"contained":[45],"in":[46,71,101,129],"one":[47],"frame":[48],"audio.":[51,102],"dual-channel":[57],"used":[60],"estimating":[62],"each":[66],"pitch's":[67],"onset":[68],"or":[69],"offset":[70,96],"frame.":[73],"rule-based;":[79],"it":[80],"integrates":[81],"outputs":[83],"to":[91,111],"determine":[92],"final":[94],"onset,":[95],"notes":[100],"Two":[103],"experiments":[104],"with":[105,113],"different":[106],"dataset":[107],"conditions":[108],"are":[109],"accomplished":[110],"compare":[112],"state-of-the-art":[114],"approaches":[115],"same":[118],"datasets.":[119],"Experimental":[120],"results":[121],"reveal":[122],"that":[123],"proposed":[125],"preforms":[127],"better":[128],"both":[130],"frame-":[131],"note-based":[133],"metrics.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}