{"id":"https://openalex.org/W1650484478","doi":"https://doi.org/10.1109/ijcnn.2015.7280757","title":"Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection","display_name":"Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1650484478","doi":"https://doi.org/10.1109/ijcnn.2015.7280757","mag":"1650484478"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/72524/72524.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009327522","display_name":"Erik Marchi","orcid":"https://orcid.org/0000-0002-5335-6356"},"institutions":[{"id":"https://openalex.org/I283854653","display_name":"Machine Intelligence Research Institute","ror":"https://ror.org/01h4ass90","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I283854653"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Erik Marchi","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, TU München, Germany","Machine Intelligence & Signal Processing Group, TU M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, TU München, Germany","institution_ids":["https://openalex.org/I283854653"]},{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, TU M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009982837","display_name":"Fabio Vesperini","orcid":"https://orcid.org/0000-0001-7748-5454"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Vesperini","raw_affiliation_strings":["A3LAB, Department of Information Engineering, Università Politecnica delle Marche, Italy","A3LAB, Universit\u00e0 Politecnica, delle Marche, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A3LAB, Department of Information Engineering, Università Politecnica delle Marche, Italy","institution_ids":["https://openalex.org/I122534668"]},{"raw_affiliation_string":"A3LAB, Universit\u00e0 Politecnica, delle Marche, Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016747567","display_name":"Felix Weninger","orcid":null},"institutions":[{"id":"https://openalex.org/I283854653","display_name":"Machine Intelligence Research Institute","ror":"https://ror.org/01h4ass90","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I283854653"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Felix Weninger","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, TU München, Germany","Machine Intelligence & Signal Processing Group, TU M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, TU München, Germany","institution_ids":["https://openalex.org/I283854653"]},{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, TU M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023264395","display_name":"Florian Eyben","orcid":null},"institutions":[{"id":"https://openalex.org/I283854653","display_name":"Machine Intelligence Research Institute","ror":"https://ror.org/01h4ass90","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I283854653"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Florian Eyben","raw_affiliation_strings":["Machine Intelligence & Signal Processing Group, TU München, Germany","Machine Intelligence & Signal Processing Group, TU M\u00fcnchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, TU München, Germany","institution_ids":["https://openalex.org/I283854653"]},{"raw_affiliation_string":"Machine Intelligence & Signal Processing Group, TU M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034253968","display_name":"Stefano Squartini","orcid":"https://orcid.org/0000-0001-9374-0128"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Squartini","raw_affiliation_strings":["A3LAB, Department of Information Engineering, Università Politecnica delle Marche, Italy","A3LAB, Universit\u00e0 Politecnica, delle Marche, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A3LAB, Department of Information Engineering, Università Politecnica delle Marche, Italy","institution_ids":["https://openalex.org/I122534668"]},{"raw_affiliation_string":"A3LAB, Universit\u00e0 Politecnica, delle Marche, Italy","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]},{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["DE","GB","US"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn Schuller","raw_affiliation_strings":["Complex and Intelligent Systems, University of Passau, Germany","Department of Computing, Imperial College, London, UK","Chair of Complex and Intelligent Systems, University of Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Complex and Intelligent Systems, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981","https://openalex.org/I4210105785"]},{"raw_affiliation_string":"Department of Computing, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Chair of Complex and Intelligent Systems, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9965000152587891,"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":0.9890999794006348,"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/autoencoder","display_name":"Autoencoder","score":0.836307168006897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7654666900634766},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7443729639053345},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.6559158563613892},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.608810305595398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6066541075706482},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5970527529716492},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5674270987510681},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5538936853408813},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.49489277601242065},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4801587462425232},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47110751271247864},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46497535705566406},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.45739707350730896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4507017135620117},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42481228709220886},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.27643024921417236},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0791863203048706}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.836307168006897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654666900634766},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7443729639053345},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.6559158563613892},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.608810305595398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6066541075706482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5970527529716492},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5674270987510681},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5538936853408813},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.49489277601242065},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4801587462425232},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47110751271247864},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46497535705566406},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.45739707350730896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4507017135620117},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42481228709220886},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.27643024921417236},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0791863203048706},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:72524","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-725249","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/72524/72524.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"},{"id":"pmh:oai:iris.univpm.it:11566/230587","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7280757","pdf_url":null,"source":{"id":"https://openalex.org/S4306402571","display_name":"Universit\u00e0 Politecnica delle Marche (Universit\u00e0 Politecnica delle Marche)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122534668","host_organization_name":"Marche Polytechnic University","host_organization_lineage":["https://openalex.org/I122534668"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:72524","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:384-opus4-725249","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/72524/72524.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1650484478.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W304834817","https://openalex.org/W753012316","https://openalex.org/W1503432700","https://openalex.org/W1601124178","https://openalex.org/W1632599461","https://openalex.org/W1810943226","https://openalex.org/W1822987211","https://openalex.org/W1876967670","https://openalex.org/W1990190154","https://openalex.org/W2014235936","https://openalex.org/W2018383168","https://openalex.org/W2033359964","https://openalex.org/W2040940879","https://openalex.org/W2056234582","https://openalex.org/W2064675550","https://openalex.org/W2070707809","https://openalex.org/W2079735306","https://openalex.org/W2085662862","https://openalex.org/W2103279261","https://openalex.org/W2105728138","https://openalex.org/W2108287924","https://openalex.org/W2110798204","https://openalex.org/W2111160323","https://openalex.org/W2118230268","https://openalex.org/W2119002676","https://openalex.org/W2123098109","https://openalex.org/W2131498344","https://openalex.org/W2131774270","https://openalex.org/W2137619888","https://openalex.org/W2145094598","https://openalex.org/W2155033980","https://openalex.org/W2160335114","https://openalex.org/W2160815625","https://openalex.org/W2168249484","https://openalex.org/W2293202270","https://openalex.org/W2997574889","https://openalex.org/W4240338048","https://openalex.org/W4285719527","https://openalex.org/W6610843619","https://openalex.org/W6622239757","https://openalex.org/W6630210095","https://openalex.org/W6638273328","https://openalex.org/W6675897241","https://openalex.org/W6676481782","https://openalex.org/W6681096077","https://openalex.org/W6684713764","https://openalex.org/W6697171384"],"related_works":["https://openalex.org/W2995944953","https://openalex.org/W4312731433","https://openalex.org/W4385280324","https://openalex.org/W3038419772","https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W2470043383","https://openalex.org/W2953501176","https://openalex.org/W2965095304"],"abstract_inverted_index":{"Acoustic":[0],"novelty":[1],"detection":[2],"aims":[3],"at":[4],"identifying":[5],"abnormal/novel":[6],"acoustic":[7],"signals":[8],"which":[9,102],"differ":[10],"from":[11,48],"the":[12,16,42,49,77,80,83],"reference/normal":[13],"data":[14],"that":[15,64,137],"system":[17],"was":[18,119],"trained":[19,97],"with.":[20],"In":[21,35],"this":[22,65],"paper":[23],"we":[24,135],"present":[25],"a":[26,99],"novel":[27,92,139],"approach":[28,140],"based":[29],"on":[30,98,121],"non-linear":[31],"predictive":[32],"denoising":[33,60],"autoencoders.":[34,61],"our":[36,138],"approach,":[37],"auditory":[38],"spectral":[39],"features":[40],"of":[41,54,82,105],"next":[43],"short-term":[44],"frame":[45],"are":[46],"predicted":[47],"previous":[50],"frames":[51],"by":[52,145],"means":[53],"Long-Short":[55],"Term":[56],"Memory":[57],"(LSTM)":[58],"recurrent":[59],"We":[62,128],"show":[63],"yields":[66],"an":[67],"effective":[68],"generative":[69],"model":[70],"for":[71],"audio.":[72],"The":[73,94,117],"reconstruction":[74],"error":[75],"between":[76],"input":[78],"and":[79,115,134],"output":[81],"autoencoder":[84,95],"is":[85,96],"used":[86],"as":[87,110],"activation":[88],"signal":[89],"to":[90,148],"detect":[91],"events.":[93,127],"public":[100],"database":[101],"contains":[103],"recordings":[104],"typical":[106],"in-home":[107],"situations":[108],"such":[109],"talking,":[111],"watching":[112],"television,":[113],"playing":[114],"eating.":[116],"evaluation":[118],"performed":[120],"more":[122],"than":[123],"260":[124],"different":[125],"abnormal":[126],"compare":[129],"results":[130],"with":[131],"state-of-the-art":[132],"methods":[133,144],"conclude":[136],"significantly":[141],"outperforms":[142],"existing":[143],"achieving":[146],"up":[147],"94.4%":[149],"F-Measure.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}