{"id":"https://openalex.org/W4402352583","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650868","title":"Enhancing Anomalous Sound Detection with Multi-Level Memory Bank","display_name":"Enhancing Anomalous Sound Detection with Multi-Level Memory Bank","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352583","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650868"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650868","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650868","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/A5113373693","display_name":"Baoping Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoping Deng","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032827367","display_name":"Jinggang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinggang Chen","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022252099","display_name":"Zhenhou Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenhou Hong","raw_affiliation_strings":["Ping An Technology (Shenzhen) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ping An Technology (Shenzhen) Co., Ltd","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100940847","display_name":"Xiaoyang Qu","orcid":"https://orcid.org/0009-0009-6311-4332"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyang Qu","raw_affiliation_strings":["Ping An Technology (Shenzhen) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ping An Technology (Shenzhen) Co., Ltd","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009868061","display_name":"Guokuan Li","orcid":"https://orcid.org/0009-0005-7998-5520"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guokuan Li","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101704688","display_name":"Jiguang Wan","orcid":"https://orcid.org/0000-0002-4160-9475"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguang Wan","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073667837","display_name":"Changsheng Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xie","raw_affiliation_strings":["Huazhong University of Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074472751","display_name":"Jianzong Wang","orcid":"https://orcid.org/0000-0002-9237-4231"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Jianzong Wang","raw_affiliation_strings":["Ping An Technology (Shenzhen) Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ping An Technology (Shenzhen) Co., Ltd","institution_ids":["https://openalex.org/I4401726822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12263114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9912999868392944,"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/sound","display_name":"Sound (geography)","score":0.6283332109451294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5794933438301086},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3337147831916809},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.24791648983955383},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07670074701309204}],"concepts":[{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.6283332109451294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5794933438301086},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3337147831916809},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.24791648983955383},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07670074701309204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650868","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650868","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W2108287924","https://openalex.org/W2164503390","https://openalex.org/W2194775991","https://openalex.org/W2431080869","https://openalex.org/W2747329762","https://openalex.org/W2867167548","https://openalex.org/W2890235427","https://openalex.org/W2963163009","https://openalex.org/W2963870446","https://openalex.org/W2963995504","https://openalex.org/W2978426779","https://openalex.org/W2987228832","https://openalex.org/W2997256272","https://openalex.org/W2997739323","https://openalex.org/W3035311832","https://openalex.org/W3092527263","https://openalex.org/W3094366595","https://openalex.org/W3095727342","https://openalex.org/W3101158182","https://openalex.org/W3116959466","https://openalex.org/W3118895125","https://openalex.org/W3158058158","https://openalex.org/W3168822201","https://openalex.org/W3169651898","https://openalex.org/W3170230444","https://openalex.org/W3172615411","https://openalex.org/W3184033781","https://openalex.org/W4224917958","https://openalex.org/W4225274992","https://openalex.org/W4236333699","https://openalex.org/W4312813914","https://openalex.org/W4372259978","https://openalex.org/W4388787758","https://openalex.org/W4394662183","https://openalex.org/W6717772578","https://openalex.org/W6728622933","https://openalex.org/W6745553787","https://openalex.org/W6752760542","https://openalex.org/W6762913911","https://openalex.org/W6779395778","https://openalex.org/W6784323503","https://openalex.org/W6784345760","https://openalex.org/W6796250704","https://openalex.org/W6858528237","https://openalex.org/W6864909175"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2909726438","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Abnormal":[0],"sound":[1],"detection":[2,9],"(ASD)":[3],"is":[4,30,55],"crucial":[5],"for":[6,32,117,132],"the":[7,33,60,80,86,138],"timely":[8],"of":[10,52,82,140],"machine":[11],"faults":[12],"in":[13,59,85],"industrial":[14],"scenarios":[15],"and":[16,36,102,120,142],"has":[17],"emerged":[18],"as":[19],"a":[20,49,56,68,74,91],"popular":[21],"topic.":[22],"However,":[23],"exhaustively":[24],"collecting":[25],"all":[26],"ever-changing":[27],"anomalous":[28],"samples":[29,54,84],"impractical":[31],"associated":[34],"time":[35],"cost.":[37],"Under":[38],"unsupervised":[39],"conditions,":[40],"identifying":[41],"rare":[42],"or":[43],"even":[44],"unseen":[45],"abnormal":[46],"sounds":[47],"from":[48,97],"large":[50],"set":[51],"normal":[53,83],"notable":[57],"challenge":[58],"real-world":[61],"setting.":[62],"To":[63],"address":[64],"this,":[65],"we":[66,136],"propose":[67,110],"novel":[69],"ASD":[70],"method":[71,128],"based":[72],"on":[73],"multi-level":[75],"memory":[76,121],"bank":[77,122],"to":[78,94,105],"estimate":[79],"distribution":[81],"latent":[87],"space.":[88],"We":[89,108],"employ":[90],"distance-based":[92],"metric":[93],"distinguish":[95],"inliers":[96],"outliers,":[98],"leveraging":[99],"high,":[100],"mid,":[101],"low-level":[103],"features":[104],"improve":[106],"accuracy.":[107],"also":[109],"an":[111],"acoustic-aware":[112,143],"farthest":[113,144],"embedding":[114,145],"sampling":[115,146],"algorithm":[116],"inference":[118],"acceleration":[119],"reduction.":[123],"Experimental":[124],"results":[125],"demonstrate":[126],"our":[127],"outperforms":[129],"existing":[130],"methods":[131],"anomaly":[133],"detection.":[134],"Additionally,":[135],"analyze":[137],"effect":[139],"multilevel":[141],"methods,":[147],"respectively.":[148]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
