{"id":"https://openalex.org/W2895776009","doi":"https://doi.org/10.1109/access.2018.2872931","title":"Anomalous Sound Detection Using Deep Audio Representation and a BLSTM Network for Audio Surveillance of Roads","display_name":"Anomalous Sound Detection Using Deep Audio Representation and a BLSTM Network for Audio Surveillance of Roads","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2895776009","doi":"https://doi.org/10.1109/access.2018.2872931","mag":"2895776009"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2872931","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2872931","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2872931","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070863631","display_name":"Yanxiong Li","orcid":"https://orcid.org/0000-0003-4362-1125"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiong Li","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4362-1125","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023348064","display_name":"Xianku Li","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianku Li","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385416","display_name":"Yuhan Zhang","orcid":"https://orcid.org/0000-0001-8579-4943"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055957682","display_name":"Mingle Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingle Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008484510","display_name":"Wucheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wucheng Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.7725,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.94469799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"58043","last_page":"58055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9979000091552734,"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":0.9922999739646912,"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":0.8541910648345947},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7769637107849121},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5795974731445312},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.5793567299842834},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5371331572532654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5110293626785278},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47694268822669983},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4611530303955078},{"id":"https://openalex.org/keywords/audio-analyzer","display_name":"Audio analyzer","score":0.4513600468635559},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4422059953212738},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.4169904589653015},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.412492960691452},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.32959187030792236},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.12212508916854858},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11459308862686157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8541910648345947},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7769637107849121},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5795974731445312},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.5793567299842834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5371331572532654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5110293626785278},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47694268822669983},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4611530303955078},{"id":"https://openalex.org/C160372630","wikidata":"https://www.wikidata.org/wiki/Q4819855","display_name":"Audio analyzer","level":5,"score":0.4513600468635559},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4422059953212738},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.4169904589653015},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.412492960691452},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.32959187030792236},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.12212508916854858},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11459308862686157}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2872931","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2872931","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eebc7f2e129f496bb2746ea6ce4b5f4b","is_oa":true,"landing_page_url":"https://doaj.org/article/eebc7f2e129f496bb2746ea6ce4b5f4b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 58043-58055 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2872931","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2872931","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G3994375257","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u590d\u6742\u97f3\u9891\u8bf4\u8bdd\u4eba\u5206\u6790\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61771200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5597179019","display_name":null,"funder_award_id":"201800004","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"},{"id":"https://openalex.org/G7714887553","display_name":"\u4f1a\u8bae\u97f3\u9891\u4e2d\u7684\u58f0\u5b66\u4e8b\u4ef6\u68c0\u6d4b\u53ca\u8bf4\u8bdd\u4eba\u5206\u6790\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61101160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W330298975","https://openalex.org/W821549425","https://openalex.org/W1509691205","https://openalex.org/W1522246664","https://openalex.org/W1558000412","https://openalex.org/W1559109494","https://openalex.org/W1576792455","https://openalex.org/W1578856370","https://openalex.org/W1689711448","https://openalex.org/W1815076433","https://openalex.org/W1844944916","https://openalex.org/W1970578576","https://openalex.org/W1977153226","https://openalex.org/W1985364430","https://openalex.org/W1990934990","https://openalex.org/W2011279637","https://openalex.org/W2012897754","https://openalex.org/W2032156461","https://openalex.org/W2036785686","https://openalex.org/W2038509404","https://openalex.org/W2041650519","https://openalex.org/W2045871908","https://openalex.org/W2049304293","https://openalex.org/W2052711563","https://openalex.org/W2062634502","https://openalex.org/W2065529590","https://openalex.org/W2079735306","https://openalex.org/W2082803386","https://openalex.org/W2086384421","https://openalex.org/W2096768848","https://openalex.org/W2100495367","https://openalex.org/W2108287924","https://openalex.org/W2115972319","https://openalex.org/W2116064496","https://openalex.org/W2116681922","https://openalex.org/W2118230268","https://openalex.org/W2121562595","https://openalex.org/W2123237149","https://openalex.org/W2125896931","https://openalex.org/W2129634963","https://openalex.org/W2131774270","https://openalex.org/W2135131618","https://openalex.org/W2140647972","https://openalex.org/W2143612262","https://openalex.org/W2151316819","https://openalex.org/W2158698691","https://openalex.org/W2165065922","https://openalex.org/W2166067691","https://openalex.org/W2292996718","https://openalex.org/W2320335693","https://openalex.org/W2334904945","https://openalex.org/W2341949230","https://openalex.org/W2344582598","https://openalex.org/W2398456099","https://openalex.org/W2569249728","https://openalex.org/W2741912914","https://openalex.org/W2773524065","https://openalex.org/W2775505379","https://openalex.org/W2963723765","https://openalex.org/W2973818247","https://openalex.org/W4256161595","https://openalex.org/W6633558062","https://openalex.org/W6644426853","https://openalex.org/W6659849045","https://openalex.org/W6682352165","https://openalex.org/W6682747227","https://openalex.org/W6702735670","https://openalex.org/W6747331233","https://openalex.org/W6980901144"],"related_works":["https://openalex.org/W2098934641","https://openalex.org/W2494533082","https://openalex.org/W4214771044","https://openalex.org/W4382560817","https://openalex.org/W4387698063","https://openalex.org/W1975359510","https://openalex.org/W3004352674","https://openalex.org/W1611900921","https://openalex.org/W3110605476","https://openalex.org/W1803351015"],"abstract_inverted_index":{"Surveillance":[0],"systems":[1],"based":[2,124],"on":[3,51,61,125,171,224],"image":[4],"analysis":[5],"can":[6,36,145],"automatically":[7],"detect":[8],"road":[9,77],"accidents":[10,78],"to":[11,106,113,131,189,216],"ensure":[12],"a":[13,33,87,97,100,122],"quick":[14],"intervention":[15],"by":[16],"rescue":[17],"teams.":[18],"However,":[19],"in":[20],"some":[21],"situations,":[22],"the":[23,30,39,43,82,108,111,133,156,160,163,167,172,178,184,190,195,201,205,211,217],"visual":[24],"information":[25,138],"is":[26,187,214],"insufficiently":[27],"reliable,":[28],"whereas":[29],"use":[31,96],"of":[32,42,55,76,89,99,110,162,166,174],"sound":[34,112],"detector":[35],"greatly":[37],"improve":[38],"overall":[40],"reliability":[41],"surveillance":[44,60],"system.":[45],"In":[46,81,155,193],"this":[47],"paper,":[48],"we":[49,85,158],"focus":[50],"detecting":[52,221],"two":[53],"classes":[54],"anomalous":[56,222],"sounds":[57,223],"for":[58,220],"audio":[59,91,117],"roads,":[62],"i.e.,":[63],"tire":[64],"skidding":[65],"and":[66,94,143,149,176,210],"car":[67],"crash,":[68],"whose":[69],"occurrences":[70],"are":[71],"an":[72],"evidently":[73],"acoustic":[74],"indication":[75],"or":[79],"disruptions.":[80],"proposed":[83,185,212],"method,":[84],"extract":[86,132],"feature":[88],"deep":[90,127],"representation":[92],"(DAR)":[93],"then":[95],"classifier":[98],"bidirectional":[101],"long":[102],"short-term":[103],"memory":[104],"network":[105,129],"determine":[107],"class":[109],"which":[114,135],"each":[115],"test":[116],"segment":[118],"belongs.":[119],"We":[120],"propose":[121],"framework":[123],"multiple-stage":[126],"autoencoder":[128],"(DAN)":[130],"DAR,":[134],"fuses":[136],"complementary":[137],"from":[139],"several":[140],"input":[141,153],"features":[142],"thus":[144],"be":[146],"more":[147],"discriminative":[148],"robust":[150],"than":[151],"those":[152],"features.":[154,182],"experiments,":[157],"discuss":[159],"influences":[161],"parameter":[164],"settings":[165],"DAN's":[168],"hidden":[169],"layers":[170],"performance":[173],"DAR":[175,179,206],"compare":[177],"with":[180,197],"other":[181,208],"Furthermore,":[183],"method":[186,213],"compared":[188],"state-of-the-art":[191,218],"methods.":[192],"evaluating":[194],"data":[196],"various":[198],"signal-to-noise":[199],"ratios,":[200],"results":[202],"show":[203],"that":[204],"outperforms":[207],"features,":[209],"superior":[215],"methods":[219],"roads.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}