{"id":"https://openalex.org/W1974645156","doi":"https://doi.org/10.1109/gcce.2014.7031196","title":"Comparison of two classification methods for Musical Instrument identification","display_name":"Comparison of two classification methods for Musical Instrument identification","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1974645156","doi":"https://doi.org/10.1109/gcce.2014.7031196","mag":"1974645156"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2014.7031196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2014.7031196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","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/A5059046902","display_name":"Yuta Takahashi","orcid":"https://orcid.org/0000-0002-6996-3505"},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Takahashi","raw_affiliation_strings":["Graduate School of Science and Engineering Yamagata University Yamagata, Japan","Graduate School of Science and Engineering Yamagata University  Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering Yamagata University Yamagata, Japan","institution_ids":["https://openalex.org/I112524849"]},{"raw_affiliation_string":"Graduate School of Science and Engineering Yamagata University  Japan","institution_ids":["https://openalex.org/I112524849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054505593","display_name":"Kazuhiro Kondo","orcid":"https://orcid.org/0000-0003-2160-8683"},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Kondo","raw_affiliation_strings":["Graduate School of Science and Engineering Yamagata University Yamagata, Japan","Graduate School of Science and Engineering Yamagata University  Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering Yamagata University Yamagata, Japan","institution_ids":["https://openalex.org/I112524849"]},{"raw_affiliation_string":"Graduate School of Science and Engineering Yamagata University  Japan","institution_ids":["https://openalex.org/I112524849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I112524849"],"apc_list":null,"apc_paid":null,"fwci":0.2485,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.368202,"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":"67","last_page":"68"},"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/T13996","display_name":"Diverse Musicological Studies","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9905999898910522,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.790353536605835},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6204655170440674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682712197303772},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5431219339370728},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.5107407569885254},{"id":"https://openalex.org/keywords/musical-instrument","display_name":"Musical instrument","score":0.509891152381897},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46279263496398926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43480953574180603},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4242496192455292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103127121925354},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14229843020439148},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08834150433540344},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06621542572975159}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.790353536605835},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6204655170440674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682712197303772},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5431219339370728},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.5107407569885254},{"id":"https://openalex.org/C2983311337","wikidata":"https://www.wikidata.org/wiki/Q34379","display_name":"Musical instrument","level":2,"score":0.509891152381897},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46279263496398926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43480953574180603},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4242496192455292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103127121925354},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14229843020439148},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08834150433540344},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06621542572975159},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2014.7031196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2014.7031196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2353567328","https://openalex.org/W2146076056","https://openalex.org/W2380927352","https://openalex.org/W2339674921","https://openalex.org/W1968332688","https://openalex.org/W2350891938","https://openalex.org/W2891847116","https://openalex.org/W3133411644","https://openalex.org/W2181610043","https://openalex.org/W2275058042"],"abstract_inverted_index":{"In":[0],"this":[1,97],"paper,":[2],"we":[3],"compared":[4],"the":[5,26,32,46,50,70,76,92],"Linear":[6],"Discriminant":[7],"Analysis":[8],"(LDA)":[9],"with":[10,20,80],"Random":[11],"Forest":[12],"(RF)":[13],"for":[14],"musical":[15],"instrument":[16,55],"identification":[17],"from":[18,31],"clips":[19],"a":[21],"mixture":[22],"of":[23,58,88,96],"instruments.":[24,48],"As":[25],"first":[27],"step,":[28],"monotone":[29],"samples":[30],"Musical":[33],"Instrument":[34],"Samples":[35],"(Univ.":[36],"Iowa)":[37],"and":[38,60,66],"RWC":[39,77],"Music":[40],"Database":[41],"were":[42],"used":[43],"to":[44,73,85,90],"identify":[45],"individual":[47],"For":[49],"Iowa":[51],"monotones,":[52],"an":[53],"overall":[54],"recognition":[56],"rate":[57,71],"24.8%":[59],"82.1%":[61],"was":[62],"obtained":[63],"using":[64],"LDA":[65],"RF,":[67,81],"respectively.":[68],"However,":[69],"degrades":[72],"54.9%":[74],"on":[75],"monotones":[78],"even":[79],"most":[82],"likely":[83],"due":[84],"insufficient":[86],"number":[87],"features":[89],"cover":[91],"increase":[93],"in":[94],"variability":[95],"large":[98],"database.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}