{"id":"https://openalex.org/W4402351752","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650302","title":"Representation Learning Using Machine Attribute Information for Anomalous Sound Detection in Real Scenarios","display_name":"Representation Learning Using Machine Attribute Information for Anomalous Sound Detection in Real Scenarios","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351752","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650302"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5100639314","display_name":"Shuxian Wang","orcid":"https://orcid.org/0000-0003-0720-9416"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxian Wang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597561","display_name":"Qing Wang","orcid":"https://orcid.org/0009-0004-6252-2565"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101081618","display_name":"Jun Du","orcid":"https://orcid.org/0000-0001-8576-1041"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Du","raw_affiliation_strings":["University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436059","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-0184-307X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["National Intelligent Voice Innovation Center,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Intelligent Voice Innovation Center,Hefei,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109837145","display_name":"Fan Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Chu","raw_affiliation_strings":["National Intelligent Voice Innovation Center,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Intelligent Voice Innovation Center,Hefei,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087035342","display_name":"Yuxuan Zhou","orcid":"https://orcid.org/0000-0002-0618-351X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxuan Zhou","raw_affiliation_strings":["National Intelligent Voice Innovation Center,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Intelligent Voice Innovation Center,Hefei,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008941160","display_name":"Mingqi Cai","orcid":"https://orcid.org/0000-0001-5690-1543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingqi Cai","raw_affiliation_strings":["iFLYTEK,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iFLYTEK,Hefei,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091933714","display_name":"Xin Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Fang","raw_affiliation_strings":["iFLYTEK,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iFLYTEK,Hefei,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6114,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65419471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9955000281333923,"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":0.7360537052154541},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7127430438995361},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.5804161429405212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5276697278022766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3874363601207733},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11168599128723145}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360537052154541},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7127430438995361},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.5804161429405212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5276697278022766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3874363601207733},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11168599128723145},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2031706718","https://openalex.org/W2076768985","https://openalex.org/W2096733369","https://openalex.org/W2108287924","https://openalex.org/W2118230268","https://openalex.org/W2119042815","https://openalex.org/W2135131618","https://openalex.org/W2292996718","https://openalex.org/W2598634450","https://openalex.org/W2766388946","https://openalex.org/W2939422005","https://openalex.org/W2963587345","https://openalex.org/W3015356122","https://openalex.org/W3034883497","https://openalex.org/W3035160371","https://openalex.org/W3035771475","https://openalex.org/W3036601975","https://openalex.org/W3170230444","https://openalex.org/W4221140395","https://openalex.org/W4281719388","https://openalex.org/W4381244712","https://openalex.org/W4388117975","https://openalex.org/W4392903798","https://openalex.org/W4394662183","https://openalex.org/W4399597916","https://openalex.org/W6745136726","https://openalex.org/W6757817989","https://openalex.org/W6760184523","https://openalex.org/W6780218876","https://openalex.org/W6850002427"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"the":[1,36,48,78,94,98,118,126,166,170,178,187,192,206,216],"previous":[2],"Detection":[3,17],"and":[4,9,63,102],"Classification":[5],"of":[6,28,35,50,81,121,128,169,195,209,218],"Acoustic":[7],"Scenes":[8],"Events":[10],"(DCASE)":[11],"Challenge":[12,84],"Task":[13,79,207],"2:":[14],"Anomalous":[15],"Sound":[16],"(ASD)":[18],"for":[19,53,65,90,104,112,161],"Machine":[20],"Condition":[21],"Monitoring,":[22],"each":[23,66,91,154,162],"machine":[24,37,51,67,109,171],"has":[25],"a":[26,136,157,173],"variety":[27],"different":[29,73],"section":[30,40,74,88],"IDs,":[31],"which":[32],"are":[33,131],"subsets":[34],"type.":[38],"Therefore,":[39],"ID":[41,89],"classification":[42,139,150,158],"is":[43,60,143,183],"often":[44],"used":[45,133,184],"to":[46,68,134,146,153,185],"learn":[47],"representation":[49],"sounds":[52,127],"ASD.":[54],"However,":[55],"in":[56,172,197],"real":[57],"scenarios,":[58],"it":[59],"both":[61],"time-consuming":[62],"laborious":[64],"record":[69],"data":[70,181,196],"with":[71,93,156],"multiple":[72],"IDs.":[75],"As":[76],"such,":[77],"2":[80,208],"DCASE":[82,210],"2023":[83,211],"only":[85],"includes":[86],"one":[87],"machine,":[92,155],"attribute":[95,138,149,163],"information":[96],"reflecting":[97],"machine\u2019s":[99],"working":[100],"status":[101],"environment":[103],"recording.":[105],"To":[106],"this":[107],"end,":[108],"sound":[110],"representations":[111],"ASD":[113],"can":[114],"be":[115],"learned":[116],"through":[117,221],"proxy":[119],"task":[120],"two-stage":[122],"multi-attribute":[123],"classification.":[124],"Specifically,":[125],"all":[129],"machines":[130],"first":[132],"pre-train":[135],"general":[137],"model.":[140],"This":[141],"model":[142,151],"then":[144],"fine-tuned":[145],"obtain":[147],"an":[148],"specific":[152],"head":[159],"established":[160],"that":[164],"affects":[165],"acoustic":[167],"characteristics":[168],"multi-task":[174],"learning":[175],"framework.":[176],"At":[177],"same":[179],"time,":[180],"augmentation":[182],"improve":[186],"generalization":[188],"capability":[189],"caused":[190],"by":[191],"limited":[193],"amount":[194],"actual":[198],"scenarios.":[199],"Our":[200],"approach":[201],"demonstrates":[202],"commendable":[203],"performance":[204],"on":[205],"Challenge.":[212],"We":[213],"further":[214],"illustrate":[215],"effectiveness":[217],"our":[219],"method":[220],"visual":[222],"analysis.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
