{"id":"https://openalex.org/W4400268530","doi":"https://doi.org/10.1145/3665348.3665415","title":"Real-time recognition of piano keys based on mobile devices","display_name":"Real-time recognition of piano keys based on mobile devices","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4400268530","doi":"https://doi.org/10.1145/3665348.3665415"},"language":"en","primary_location":{"id":"doi:10.1145/3665348.3665415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665348.3665415","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3665348.3665415?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3665348.3665415?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113257313","display_name":"Pengcheng Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Wan","raw_affiliation_strings":["Beijing University of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-5800-1267","affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100727076","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0001-5320-6086"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hu","raw_affiliation_strings":["Beijing University of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-5320-6086","affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08340941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"394","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9896000027656555,"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"}},"topics":[{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9896000027656555,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9602000117301941,"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":0.7639471888542175},{"id":"https://openalex.org/keywords/piano","display_name":"Piano","score":0.7208580374717712},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.4139302968978882},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39593130350112915},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3822862505912781},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3732237219810486},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1775381863117218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7639471888542175},{"id":"https://openalex.org/C124086623","wikidata":"https://www.wikidata.org/wiki/Q5994","display_name":"Piano","level":2,"score":0.7208580374717712},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.4139302968978882},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39593130350112915},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3822862505912781},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3732237219810486},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1775381863117218},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3665348.3665415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665348.3665415","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3665348.3665415?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3665348.3665415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3665348.3665415","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3665348.3665415?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400268530.pdf","grobid_xml":"https://content.openalex.org/works/W4400268530.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2125722442","https://openalex.org/W2194775991","https://openalex.org/W2198584637","https://openalex.org/W2963351448","https://openalex.org/W3209419355","https://openalex.org/W6606863695"],"related_works":["https://openalex.org/W2316271602","https://openalex.org/W2357375963","https://openalex.org/W607893370","https://openalex.org/W629160228","https://openalex.org/W584653787","https://openalex.org/W4362512397","https://openalex.org/W587444722","https://openalex.org/W2022713566","https://openalex.org/W2336023324","https://openalex.org/W633023889"],"abstract_inverted_index":{"In":[0],"practical":[1],"application":[2],"environments,":[3],"the":[4,16,34,41,50,69,74,77,84,87,93,102,106,114,119,138,143,149,164,173],"task":[5],"of":[6,13,20,36,43,59,73,79,86,92,105,172],"piano":[7],"music":[8],"transcription":[9,24,124,134],"confronts":[10],"a":[11,57,130],"series":[12,58],"challenges":[14],"including":[15],"long-tail":[17],"distribution":[18],"characteristics":[19],"training":[21],"data,":[22],"inadequate":[23],"accuracy":[25,125],"in":[26,113,126,133,158],"multi-key":[27],"scenarios,":[28,128],"interference":[29],"from":[30],"environmental":[31],"noise,":[32],"and":[33,52,55,71,83],"inability":[35],"mobile":[37,98,109,115],"devices":[38],"to":[39,137],"meet":[40],"demands":[42],"real-time":[44,146],"transcription.":[45,147],"This":[46],"study":[47],"builds":[48],"upon":[49],"Onsets":[51],"Frames":[53],"model":[54,65,75,107,151],"introduces":[56],"structural":[60],"improvements":[61,121],"aimed":[62],"at":[63],"enhancing":[64],"performance.":[66],"These":[67],"include":[68],"simplification":[70],"optimization":[72],"structure,":[76],"introduction":[78],"data":[80],"augmentation":[81],"strategies,":[82,100],"refinement":[85],"loss":[88],"function.":[89],"Precise":[90],"quantization":[91],"model,":[94,140],"coupled":[95],"with":[96],"effective":[97],"deployment":[99],"ensures":[101],"efficient":[103],"operation":[104],"on":[108],"devices.":[110],"Experimental":[111],"validation":[112],"environment":[116],"demonstrates":[117],"that":[118,171],"proposed":[120],"significantly":[122],"enhance":[123],"various":[127],"achieving":[129],"56.98%":[131],"increase":[132],"speed":[135],"compared":[136],"original":[139,174],"thereby":[141],"meeting":[142],"requirements":[144],"for":[145],"Moreover,":[148],"new":[150],"exhibits":[152],"substantial":[153],"noise":[154],"resistance":[155],"capabilities,":[156],"particularly":[157],"low":[159],"signal-to-noise":[160],"ratio":[161],"conditions":[162],"where":[163],"performance":[165],"degradation":[166],"is":[167],"considerably":[168],"less":[169],"than":[170],"model.":[175]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
