{"id":"https://openalex.org/W7141352603","doi":"https://doi.org/10.1109/icce67443.2026.11449715","title":"CRNN-Based Hierarchical Musician Identification in Classical Music","display_name":"CRNN-Based Hierarchical Musician Identification in Classical Music","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7141352603","doi":"https://doi.org/10.1109/icce67443.2026.11449715"},"language":null,"primary_location":{"id":"doi:10.1109/icce67443.2026.11449715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","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/A5130764855","display_name":"Sabrina Jamil","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sabrina Jamil","raw_affiliation_strings":["Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854"],"affiliations":[{"raw_affiliation_string":"Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130815784","display_name":"Harshini Ganapathi","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harshini Ganapathi","raw_affiliation_strings":["Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854"],"affiliations":[{"raw_affiliation_string":"Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076534009","display_name":"Navya Malhotra","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Navya Malhotra","raw_affiliation_strings":["Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854"],"affiliations":[{"raw_affiliation_string":"Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130803132","display_name":"Sasan Haghani","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sasan Haghani","raw_affiliation_strings":["Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854"],"affiliations":[{"raw_affiliation_string":"Rutgers University,Department of Electrical and Computer Engineering,Piscataway,NJ,USA,08854","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5130764855"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94404275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.8863999843597412,"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":0.8863999843597412,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.024000000208616257,"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"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.021199999377131462,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5922999978065491},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2775999903678894},{"id":"https://openalex.org/keywords/classical-music","display_name":"Classical music","score":0.27149999141693115},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.26489999890327454},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.25769999623298645}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5922999978065491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5543000102043152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48579999804496765},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3684999942779541},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C542929976","wikidata":"https://www.wikidata.org/wiki/Q9730","display_name":"Classical music","level":3,"score":0.27149999141693115},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25459998846054077},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce67443.2026.11449715","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce67443.2026.11449715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2809551536","https://openalex.org/W2963451564","https://openalex.org/W3206645997","https://openalex.org/W4220901868","https://openalex.org/W4312632513","https://openalex.org/W4313141652","https://openalex.org/W4319262514","https://openalex.org/W4392980455"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,62,104,126,147],"machine-learning":[4],"framework":[5,100],"for":[6],"identifying":[7],"classical":[8],"composers":[9],"and":[10,43,56,73,87,111,133,140],"performers":[11],"based":[12],"on":[13,27,34],"stylistic":[14],"characteristics":[15],"embedded":[16],"in":[17,116,151],"audio":[18,28,109],"recordings.":[19],"Unlike":[20],"conventional":[21],"music":[22,153],"recognition":[23],"systems":[24],"that":[25,46,69,107,129],"rely":[26],"fingerprinting,":[29],"the":[30,85,90,93,113],"proposed":[31],"approach":[32],"focuses":[33],"expressive":[35,138],"musical":[36,77],"features":[37],"such":[38],"as":[39],"articulation,":[40],"phrasing,":[41],"dynamics,":[42],"temporal":[44,74],"shaping\u2014properties":[45],"encapsulate":[47],"interpreters\u2019":[48],"unique":[49],"performance":[50],"styles.":[51],"The":[52,99],"system":[53,120],"integrates":[54,121],"mel-spectrograms":[55],"Mel-Frequency":[57],"Cepstral":[58],"Coefficients":[59],"(MFCCs)":[60],"with":[61,125],"Convolutional":[63],"Recurrent":[64],"Neural":[65],"Network":[66],"(CRNN)":[67],"architecture":[68],"captures":[70],"both":[71,131],"spatial":[72],"attributes":[75],"of":[76],"expression.":[78],"A":[79],"hierarchical":[80,127],"classification":[81],"pipeline":[82],"first":[83],"determines":[84],"composer":[86,97,132],"subsequently":[88],"refines":[89],"prediction":[91],"to":[92],"performer":[94,134],"within":[95],"each":[96],"group.":[98],"is":[101],"supported":[102],"by":[103],"user":[105],"interface":[106],"accepts":[108],"recordings":[110],"returns":[112],"model\u2019s":[114],"predictions":[115],"real":[117],"time.":[118],"Our":[119],"MFCC-based":[122],"feature":[123],"extraction":[124],"CRNN":[128],"performs":[130],"classification.":[135],"By":[136],"modeling":[137],"cues":[139],"interpretive":[141],"signatures,":[142],"it":[143],"achieves":[144],"performer-level":[145],"distinction,":[146],"capability":[148],"largely":[149],"absent":[150],"current":[152],"information":[154],"retrieval":[155],"(MIR)":[156],"systems.":[157]},"counts_by_year":[],"updated_date":"2026-03-29T06:01:01.467347","created_date":"2026-03-28T00:00:00"}