{"id":"https://openalex.org/W2993081865","doi":"https://doi.org/10.1109/icawst.2019.8923404","title":"Similar Music Instrument Detection via Deep Convolution YOLO-Generative Adversarial Network","display_name":"Similar Music Instrument Detection via Deep Convolution YOLO-Generative Adversarial Network","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993081865","doi":"https://doi.org/10.1109/icawst.2019.8923404","mag":"2993081865"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Similar_Music_Instrument_Detection_via_Deep_Convolution_YOLO-Generative_Adversarial_Network/26967514","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078312887","display_name":"Christine Dewi","orcid":"https://orcid.org/0000-0002-1284-234X"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Christine Dewi","raw_affiliation_strings":["Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065193429","display_name":"Rung-Ching Chen","orcid":"https://orcid.org/0000-0001-7621-1988"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Rung-Ching Chen","raw_affiliation_strings":["Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039332919","display_name":"Hendry Hendry","orcid":"https://orcid.org/0000-0002-7387-2622"},"institutions":[{"id":"https://openalex.org/I157219812","display_name":"Satya Wacana Christian University","ror":"https://ror.org/009nnre75","country_code":"ID","type":"education","lineage":["https://openalex.org/I157219812"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hendry","raw_affiliation_strings":["Faculty of Information Technology, Satya Wacana Christian University, Salatiga, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Satya Wacana Christian University, Salatiga, Indonesia","institution_ids":["https://openalex.org/I157219812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100766841","display_name":"Yanting Liu","orcid":"https://orcid.org/0000-0002-0828-4023"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yan-Ting Liu","raw_affiliation_strings":["Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3744,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88480199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9986000061035156,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9986000061035156,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.994700014591217,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.7798956632614136},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7535038590431213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7245960831642151},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7142776250839233},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6355105638504028},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6235046982765198},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5562126636505127},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.513004720211029},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4939790368080139},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47493770718574524},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47084519267082214},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4242263436317444},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42413920164108276},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4195708632469177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41288983821868896},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.41076111793518066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3894760310649872},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11587557196617126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798956632614136},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7535038590431213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7245960831642151},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7142776250839233},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6355105638504028},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6235046982765198},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5562126636505127},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.513004720211029},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4939790368080139},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47493770718574524},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47084519267082214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4242263436317444},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42413920164108276},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4195708632469177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41288983821868896},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.41076111793518066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3894760310649872},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11587557196617126},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icawst.2019.8923404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/26967514","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Similar_Music_Instrument_Detection_via_Deep_Convolution_YOLO-Generative_Adversarial_Network/26967514","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/26967514","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Similar_Music_Instrument_Detection_via_Deep_Convolution_YOLO-Generative_Adversarial_Network/26967514","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2050964073","https://openalex.org/W2099471712","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2618530766","https://openalex.org/W2753041493","https://openalex.org/W2786012207","https://openalex.org/W2909091400","https://openalex.org/W2944525610","https://openalex.org/W2963037989","https://openalex.org/W2963684088","https://openalex.org/W4320013936","https://openalex.org/W6685352114","https://openalex.org/W6748063848"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W4391792221","https://openalex.org/W4322709305","https://openalex.org/W2808862658","https://openalex.org/W4391899165","https://openalex.org/W3010213975"],"abstract_inverted_index":{"Object":[0],"detection":[1,113],"and":[2,12,27,63,84,115],"image":[3,22,70],"recognition":[4,23],"are":[5],"important":[6],"research":[7],"topics":[8],"in":[9],"machine":[10],"learning":[11],"artificial":[13],"intelligence.":[14],"The":[15,48],"major":[16],"challenge":[17],"of":[18,50,60,82,111],"the":[19,51,73,80,109,117],"computer":[20],"vision":[21],"is":[24,42,53,95],"to":[25,44,65,89],"detect":[26,66],"recognize":[28],"a":[29,61],"similar":[30,91],"object.":[31],"Generative":[32],"Adversarial":[33],"Network":[34,40],"(GAN)":[35],"based":[36,98],"on":[37],"Convolution":[38,105],"Neural":[39],"(CNN)":[41],"proposed":[43],"faces":[45],"this":[46,76],"challenge.":[47],"advantage":[49,81],"GAN":[52,83],"represented":[54],"by":[55,72],"its":[56],"architecture":[57],"which":[58],"consists":[59],"generator":[62],"discriminator":[64],"real":[67],"or":[68],"fake":[69],"generated":[71],"machine.":[74],"In":[75],"paper,":[77],"we":[78],"adopt":[79],"combine":[85],"with":[86,100],"YOLO":[87,94,112,119],"algorithm":[88],"identify":[90],"music":[92],"instruments.":[93],"fast":[96],"Region":[97],"CNN":[99],"powerful":[101],"computation.":[102],"Using":[103],"Deep":[104],"YOLO-GAN":[106],"will":[107],"enhance":[108],"capability":[110],"process":[114],"outperform":[116],"original":[118],"capability.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}
