{"id":"https://openalex.org/W2984000344","doi":"https://doi.org/10.23919/eusipco.2019.8902941","title":"Sounding Industry: Challenges and Datasets for Industrial Sound Analysis","display_name":"Sounding Industry: Challenges and Datasets for Industrial Sound Analysis","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2984000344","doi":"https://doi.org/10.23919/eusipco.2019.8902941","mag":"2984000344"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8902941","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","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/A5068929948","display_name":"Sascha Grollmisch","orcid":"https://orcid.org/0000-0001-9703-110X"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sascha Grollmisch","raw_affiliation_strings":["Industrial Media Applications Fraunhofer IDMT,Ilmenau,Germany","Industrial Media Applications Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Media Applications Fraunhofer IDMT,Ilmenau,Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Industrial Media Applications Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047532715","display_name":"Jakob Abe\u00dfer","orcid":"https://orcid.org/0000-0003-4689-7944"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jakob Abesser","raw_affiliation_strings":["Semantic Music Technologies Fraunhofer IDMT,Ilmenau,Germany","Semantic Music Technologies Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Semantic Music Technologies Fraunhofer IDMT,Ilmenau,Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Semantic Music Technologies Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025921028","display_name":"Judith Liebetrau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Judith Liebetrau","raw_affiliation_strings":["Industrial Media Applications Fraunhofer IDMT,Ilmenau,Germany","Industrial Media Applications Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Media Applications Fraunhofer IDMT,Ilmenau,Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Industrial Media Applications Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067411318","display_name":"Hanna Lukashevich","orcid":"https://orcid.org/0000-0002-9041-9475"},"institutions":[{"id":"https://openalex.org/I4210138578","display_name":"Fraunhofer Institute for Digital Media Technology","ror":"https://ror.org/04gp0yb49","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210138578","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hanna Lukashevich","raw_affiliation_strings":["Semantic Music Technologies Fraunhofer IDMT,Ilmenau,Germany","Semantic Music Technologies Fraunhofer IDMT, Ilmenau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Semantic Music Technologies Fraunhofer IDMT,Ilmenau,Germany","institution_ids":["https://openalex.org/I4210138578"]},{"raw_affiliation_string":"Semantic Music Technologies Fraunhofer IDMT, Ilmenau, Germany","institution_ids":["https://openalex.org/I4210138578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8408,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.94589825,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9958999752998352,"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":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7449061274528503},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6195676922798157},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5980002284049988},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5557215809822083},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5302457809448242},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4593297839164734},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42667150497436523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36065131425857544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32668203115463257},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14772596955299377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7449061274528503},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6195676922798157},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5980002284049988},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5557215809822083},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5302457809448242},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4593297839164734},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42667150497436523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36065131425857544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32668203115463257},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14772596955299377},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/eusipco.2019.8902941","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-575212","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-575212.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IDMT","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/406696","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/406696","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W2019055402","https://openalex.org/W2038484192","https://openalex.org/W2095705004","https://openalex.org/W2125331357","https://openalex.org/W2131241448","https://openalex.org/W2258103553","https://openalex.org/W2294172420","https://openalex.org/W2487315868","https://openalex.org/W2593116425","https://openalex.org/W2759976799","https://openalex.org/W2766915489","https://openalex.org/W2889604124","https://openalex.org/W2919115771","https://openalex.org/W2964121744","https://openalex.org/W3100031071","https://openalex.org/W3121952123","https://openalex.org/W3210683364","https://openalex.org/W4212863985","https://openalex.org/W4393487040","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6674330103","https://openalex.org/W6678911119","https://openalex.org/W6788557219"],"related_works":["https://openalex.org/W2218202131","https://openalex.org/W84108837","https://openalex.org/W2519676117","https://openalex.org/W2155740880","https://openalex.org/W4253249845","https://openalex.org/W2148444631","https://openalex.org/W1826068234","https://openalex.org/W2125452230","https://openalex.org/W2185138819","https://openalex.org/W971421295"],"abstract_inverted_index":{"The":[0,183,233],"ongoing":[1],"process":[2],"of":[3,33,90,118,124,151,155,160,163,169,198,205,208,229,236,247],"automation":[4],"in":[5,25,38,87,196,221,244],"production":[6],"lines":[7],"increases":[8],"the":[9,66,88,116,125,152,161,199,203,213,222,245],"requirements":[10],"for":[11,130,136,231],"robust":[12],"and":[13,144,167],"reliable":[14],"quality":[15,18,27],"control.":[16],"Acoustic":[17,108],"control":[19,28],"can":[20,41,49],"play":[21],"a":[22,227],"major":[23],"part":[24],"advanced":[26],"systems":[29,59,75,180,188,215],"since":[30,122],"several":[31],"types":[32],"faults":[34],"such":[35,187],"as":[36],"changes":[37,220],"machine":[39,46],"conditions":[40],"be":[42,51],"heard":[43],"by":[44],"experienced":[45],"operators":[47],"but":[48],"hardly":[50],"detected":[52],"otherwise.":[53],"To":[54],"this":[55,148,237],"day,":[56],"acoustic":[57],"detection":[58,150,159,168],"using":[60],"airborne":[61],"sounds":[62],"struggle":[63],"due":[64],"to":[65,79,98,219,240],"highly":[67,217],"complex":[68],"noise":[69],"scenarios":[70],"inside":[71],"factories.":[72],"Machine":[73],"learning":[74],"are":[76,95],"theoretically":[77],"able":[78],"cope":[80],"with":[81,138,147],"these":[82],"conditions.":[83],"However,":[84,212],"recent":[85],"advancements":[86],"field":[89,246],"Industrial":[91],"Sound":[92],"Analysis":[93],"(ISA)":[94],"sparse":[96],"compared":[97],"related":[99],"research":[100,243],"fields":[101,141],"like":[102],"Music":[103],"Information":[104],"Retrieval":[105],"(MIR)":[106],"or":[107],"Event":[109],"Detection":[110],"(AED).":[111],"One":[112],"main":[113,234],"reason":[114],"is":[115,127,239],"lack":[117],"freely":[119],"available":[120],"datasets":[121,135,195],"most":[123],"data":[126],"very":[128],"sensitive":[129,218],"companies.":[131],"Therefore,":[132],"three":[133],"novel":[134],"ISA":[137],"different":[139,170],"application":[140],"were":[142,181],"recorded":[143],"published":[145],"along":[146],"paper:":[149],"operational":[153],"state":[154],"an":[156],"electric":[157],"engine,":[158],"surface":[162],"rolling":[164],"metal":[165],"balls,":[166],"bulk":[171],"materials.":[172],"For":[173],"each":[174],"dataset,":[175],"neural":[176],"network":[177],"based":[178],"baseline":[179,214],"evaluated.":[182],"results":[184],"show":[185],"that":[186],"obtain":[189],"high":[190],"classification":[191],"accuracies":[192],"over":[193],"all":[194],"many":[197],"subtasks":[200],"which":[201,225],"demonstrates":[202],"feasibility":[204],"audio-based":[206],"analysis":[207,210],"industrial":[209],"scenarios.":[211],"remain":[216],"recording":[223],"setup,":[224],"leaves":[226],"lot":[228],"room":[230],"improvement.":[232],"goal":[235],"paper":[238],"stimulate":[241],"further":[242],"ISA.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7}],"updated_date":"2026-06-25T08:15:23.626066","created_date":"2025-10-10T00:00:00"}