{"id":"https://openalex.org/W4412445055","doi":"https://doi.org/10.1109/dsp65409.2025.11074830","title":"First-Shot Machine Anomalous Sound Detection: Exploring the Impact of Limited Target Dataset Size on Model Performance","display_name":"First-Shot Machine Anomalous Sound Detection: Exploring the Impact of Limited Target Dataset Size on Model Performance","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4412445055","doi":"https://doi.org/10.1109/dsp65409.2025.11074830"},"language":"en","primary_location":{"id":"doi:10.1109/dsp65409.2025.11074830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp65409.2025.11074830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Digital Signal Processing (DSP)","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/A5074833408","display_name":"Alexander Buck","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex Buck","raw_affiliation_strings":["School of Science, Loughborough University,Computer Science,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Loughborough University,Computer Science,UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022173527","display_name":"Georgina Cosma","orcid":"https://orcid.org/0000-0002-4663-6907"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Georgina Cosma","raw_affiliation_strings":["School of Science, Loughborough University,Computer Science,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Loughborough University,Computer Science,UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075316109","display_name":"Iain Phillips","orcid":"https://orcid.org/0000-0001-8503-7651"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iain Phillips","raw_affiliation_strings":["School of Science, Loughborough University,Computer Science,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Loughborough University,Computer Science,UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007640209","display_name":"Paul Conway","orcid":"https://orcid.org/0000-0002-8678-5755"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Conway","raw_affiliation_strings":["School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University,UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085092796","display_name":"Patrick J. Baker","orcid":"https://orcid.org/0000-0002-6560-7124"},"institutions":[{"id":"https://openalex.org/I2800289278","display_name":"Royal Air Force College Cranwell","ror":"https://ror.org/01g0pjd14","country_code":"GB","type":"education","lineage":["https://openalex.org/I2800289278"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Patrick Baker","raw_affiliation_strings":["Royal Air Force Rapid Capabilities Office,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Air Force Rapid Capabilities Office,UK","institution_ids":["https://openalex.org/I2800289278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.18238928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.9976000189781189,"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":0.9976000189781189,"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":0.9961000084877014,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9553999900817871,"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/shot","display_name":"Shot (pellet)","score":0.8119485378265381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865395903587341},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4865047335624695},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.4780733585357666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3598361015319824},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3229929506778717},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.18102115392684937},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13739484548568726},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09598565101623535}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.8119485378265381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865395903587341},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4865047335624695},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.4780733585357666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3598361015319824},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3229929506778717},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.18102115392684937},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13739484548568726},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09598565101623535},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsp65409.2025.11074830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp65409.2025.11074830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2908925292","https://openalex.org/W4225888097","https://openalex.org/W4372263161","https://openalex.org/W4388117975","https://openalex.org/W4390494339","https://openalex.org/W4390873265","https://openalex.org/W4392902851","https://openalex.org/W4392903829","https://openalex.org/W4399597916","https://openalex.org/W4402056503"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Anomalous":[0],"Sound":[1],"Detection":[2],"(ASD)":[3],"refers":[4],"to":[5,20,81,119,168,178],"the":[6,33,56,105,121,146,156,162,171,181,192],"process":[7],"of":[8,35,75,98,107,123,140,183,186],"identifying":[9],"unusual":[10],"or":[11,17,24,28],"abnormal":[12],"sounds":[13],"in":[14,26,37],"a":[15,67,72,95],"system":[16],"environment,":[18],"typically":[19],"detect":[21],"potential":[22],"faults":[23],"irregularities":[25],"machines":[27,80],"processes.":[29],"This":[30,189],"paper":[31],"explores":[32,87],"challenges":[34],"ASD":[36,54,132,196],"machines,":[38],"where":[39],"collecting":[40],"extensive":[41,59],"data":[42,60,65],"from":[43,66,77,176,202],"every":[44],"individual":[45],"machine":[46,69],"is":[47,101],"often":[48],"impractical,":[49],"costly,":[50],"and":[51,71,143],"inefficient.":[52],"First-shot":[53],"reduces":[55],"need":[57,194],"for":[58,90,127,195],"collection":[61],"by":[62,166],"leveraging":[63,145],"comprehensive":[64],"single":[68],"type":[70],"limited":[73,203],"number":[74],"samples":[76],"additional":[78],"target":[79,96,110,128,137,163,172],"improve":[82],"detection.":[83],"While":[84],"existing":[85],"literature":[86],"various":[88],"models":[89,133,184,197],"anomalous":[91],"sound":[92],"detection":[93],"using":[94,136],"size":[97,111,173],"10,":[99,144,179],"there":[100],"little":[102],"research":[103],"examining":[104],"impact":[106,122],"varying":[108,124],"this":[109],"on":[112,161],"model":[113],"performance.":[114],"We":[115],"conducted":[116],"novel":[117],"experiments":[118],"evaluate":[120],"dataset":[125,138],"sizes":[126,139],"machines.":[129],"Four":[130],"state-of-the-art":[131],"were":[134],"tested":[135],"2,":[141],"5,":[142],"DCASE":[147],"2023":[148],"Task":[149],"2":[150,177],"dataset.":[151],"Our":[152],"results":[153],"revealed":[154],"that":[155,198],"area":[157],"under":[158],"curve":[159],"(AUC)":[160],"set":[164],"increased":[165],"up":[167],"16%":[169],"when":[170],"was":[174],"expanded":[175],"underscoring":[180],"importance":[182],"capable":[185],"improved":[187],"generalisation.":[188],"finding":[190],"highlights":[191],"critical":[193],"can":[199],"effectively":[200],"learn":[201],"data.":[204]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}