{"id":"https://openalex.org/W2902738348","doi":"https://doi.org/10.23919/eusipco.2018.8553423","title":"Anomalous Sound Event Detection Based on WaveNet","display_name":"Anomalous Sound Event Detection Based on WaveNet","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902738348","doi":"https://doi.org/10.23919/eusipco.2018.8553423","mag":"2902738348"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553423","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th 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/A5078778981","display_name":"Tomoki Hayashi","orcid":"https://orcid.org/0000-0001-8782-4093"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Hayashi","raw_affiliation_strings":["Department of Information Science, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113730169","display_name":"Tatsuya Komatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Komatsu","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041279908","display_name":"Reishi Kondo","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Reishi Kondo","raw_affiliation_strings":["Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science Research Laboratories, NEC Corporation, Kawasaki, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078330211","display_name":"Tomoki Toda","orcid":"https://orcid.org/0000-0001-8146-1279"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Toda","raw_affiliation_strings":["Information Technology, Center Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology, Center Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042118446","display_name":"Kazuya Takeda","orcid":"https://orcid.org/0000-0002-0330-1787"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Takeda","raw_affiliation_strings":["Department of Information Science, Nagoya University, Nagoya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6603,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91390211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2494","last_page":"2498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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":0.9973999857902527,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9898999929428101,"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":0.7928609251976013},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.7191234230995178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5742852091789246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5714158415794373},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.543150782585144},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5076895952224731},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4804627299308777},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46187400817871094},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4565422832965851},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4555432200431824},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4328203797340393},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.43084433674812317},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.22514081001281738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09111922979354858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928609251976013},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.7191234230995178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5742852091789246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5714158415794373},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.543150782585144},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5076895952224731},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4804627299308777},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46187400817871094},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4565422832965851},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4555432200431824},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4328203797340393},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43084433674812317},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.22514081001281738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09111922979354858},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553423","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W892668003","https://openalex.org/W1522301498","https://openalex.org/W1601124178","https://openalex.org/W1682770403","https://openalex.org/W1788497923","https://openalex.org/W2014235936","https://openalex.org/W2031706718","https://openalex.org/W2044535354","https://openalex.org/W2083912674","https://openalex.org/W2095345875","https://openalex.org/W2103347691","https://openalex.org/W2118230268","https://openalex.org/W2127979711","https://openalex.org/W2131583851","https://openalex.org/W2135131618","https://openalex.org/W2168249484","https://openalex.org/W2402144811","https://openalex.org/W2408239454","https://openalex.org/W2519091744","https://openalex.org/W2746554716","https://openalex.org/W2749651610","https://openalex.org/W2902455138","https://openalex.org/W2953384591","https://openalex.org/W2963128891","https://openalex.org/W2964121744","https://openalex.org/W2964243274","https://openalex.org/W4248979535","https://openalex.org/W6684713764","https://openalex.org/W6713134421","https://openalex.org/W6756753118"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2176409448","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2538520412","https://openalex.org/W4385572368"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,21,26,66,94,98,165,170,188,216],"new":[4],"method":[5,18,90,131,177,199],"of":[6,116,125,148,155,209],"anomalous":[7,56,136,221],"sound":[8,57,137],"event":[9],"detection":[10],"for":[11,219],"use":[12],"in":[13,32,42,77,169],"public":[14,43],"spaces.":[15,44],"The":[16],"proposed":[17,89,130,157,176,198],"utilizes":[19],"WaveNet,":[20],"generative":[22],"model":[23,31,47,65],"based":[24,144],"on":[25,145],"convolutional":[27],"neural":[28],"network,":[29],"to":[30,63,70,100,134],"the":[33,36,46,85,126,129,153,156,175,179,197,201,206],"time":[34],"domain":[35],"various":[37],"acoustic":[38,50,110,149],"patterns":[39],"which":[40],"occur":[41],"When":[45],"detects":[48],"unknown":[49,109],"patterns,":[51],"they":[52],"are":[53],"identified":[54],"as":[55,81,93,108,122,184,215],"events.":[58],"WaveNet":[59,92,113,210],"has":[60],"been":[61],"used":[62,214],"precisely":[64],"waveform":[67,102,127],"signal":[68],"and":[69,187,204],"directly":[71],"generate":[72],"it":[73],"using":[74,164],"random":[75],"sampling":[76],"generation":[78],"tasks,":[79],"such":[80,121,183],"speech":[82],"synthesis.":[83],"On":[84],"other":[86],"hand,":[87],"our":[88],"uses":[91],"predictor":[95],"rather":[96],"than":[97,141],"generator":[99],"detect":[101,135],"segments":[103],"causing":[104],"large":[105],"prediction":[106,207],"errors":[107,147,208],"patterns.":[111],"Because":[112],"is":[114,132],"capable":[115],"modeling":[117],"detailed":[118],"temporal":[119],"structures,":[120],"phase":[123],"information,":[124],"signals,":[128],"expected":[133],"events":[138],"more":[139],"accurately":[140],"conventional":[142,180,202],"methods":[143,182,203],"reconstruction":[146],"features.":[150],"To":[151],"evaluate":[152],"performance":[154],"method,":[158],"we":[159],"conduct":[160],"an":[161,185],"experimental":[162],"evaluation":[163],"real-world":[166],"dataset":[167],"recorded":[168],"subway":[171],"station.":[172],"We":[173],"compare":[174],"with":[178],"feature-based":[181],"auto-encoder":[186],"long":[189],"short-term":[190],"memory":[191],"network.":[192],"Experimental":[193],"results":[194],"demonstrate":[195],"that":[196,205],"outperforms":[200],"can":[211],"be":[212],"effectively":[213],"good":[217],"metric":[218],"unsupervised":[220],"detection.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
