{"id":"https://openalex.org/W3015931889","doi":"https://doi.org/10.1109/icassp40776.2020.9053298","title":"SECL-UMons Database for Sound Event Classification and Localization","display_name":"SECL-UMons Database for Sound Event Classification and Localization","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015931889","doi":"https://doi.org/10.1109/icassp40776.2020.9053298","mag":"3015931889"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://orbi.umons.ac.be/bitstream/20.500.12907/42304/1/Peer-reviewed-paper.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047970141","display_name":"Mathilde Brousmiche","orcid":"https://orcid.org/0000-0001-6044-1236"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mathilde Brousmiche","raw_affiliation_strings":["NECOTIS Lab, University of Sherbrooke, Canada"],"affiliations":[{"raw_affiliation_string":"NECOTIS Lab, University of Sherbrooke, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026332327","display_name":"Jean Rouat","orcid":"https://orcid.org/0000-0002-9306-426X"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jean Rouat","raw_affiliation_strings":["NECOTIS Lab, University of Sherbrooke, Canada"],"affiliations":[{"raw_affiliation_string":"NECOTIS Lab, University of Sherbrooke, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083563222","display_name":"St\u00e9phane Dupont","orcid":"https://orcid.org/0000-0003-3674-6747"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Stephane Dupont","raw_affiliation_strings":["University of Mons, Numediart Institute, Belgium"],"affiliations":[{"raw_affiliation_string":"University of Mons, Numediart Institute, Belgium","institution_ids":["https://openalex.org/I130929987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047970141"],"corresponding_institution_ids":["https://openalex.org/I135117807"],"apc_list":null,"apc_paid":null,"fwci":1.8262,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85557084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"756","last_page":"760"},"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":0.9990000128746033,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9785000085830688,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8662683963775635},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7128410339355469},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.700432538986206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651784181594849},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6081568598747253},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5849566459655762},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5350981950759888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126020312309265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38790273666381836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3553815484046936},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0713135302066803}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8662683963775635},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7128410339355469},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.700432538986206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651784181594849},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6081568598747253},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5849566459655762},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5350981950759888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126020312309265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38790273666381836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3553815484046936},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0713135302066803},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:orbi.umons.ac.be:20.500.12907/42304","is_oa":true,"landing_page_url":"https://orbi.umons.ac.be/handle/20.500.12907/42304","pdf_url":"https://orbi.umons.ac.be/bitstream/20.500.12907/42304/1/Peer-reviewed-paper.pdf","source":{"id":"https://openalex.org/S7407055454","display_name":"ORBi UMONS","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings (2020-05-06); IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain [ES], 2020","raw_type":"peer reviewed"}],"best_oa_location":{"id":"pmh:oai:orbi.umons.ac.be:20.500.12907/42304","is_oa":true,"landing_page_url":"https://orbi.umons.ac.be/handle/20.500.12907/42304","pdf_url":"https://orbi.umons.ac.be/bitstream/20.500.12907/42304/1/Peer-reviewed-paper.pdf","source":{"id":"https://openalex.org/S7407055454","display_name":"ORBi UMONS","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings (2020-05-06); IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain [ES], 2020","raw_type":"peer reviewed"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3015931889.pdf","grobid_xml":"https://content.openalex.org/works/W3015931889.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1603075283","https://openalex.org/W1650531274","https://openalex.org/W2038484192","https://openalex.org/W2057397617","https://openalex.org/W2074604179","https://openalex.org/W2129821199","https://openalex.org/W2153937809","https://openalex.org/W2341412280","https://openalex.org/W2551990143","https://openalex.org/W2566935005","https://openalex.org/W2591013610","https://openalex.org/W2611943505","https://openalex.org/W2663904211","https://openalex.org/W2810934215","https://openalex.org/W2884822476","https://openalex.org/W2896307211","https://openalex.org/W2905556235","https://openalex.org/W2909821048","https://openalex.org/W2963099423","https://openalex.org/W2963339453","https://openalex.org/W2964342924","https://openalex.org/W2982382207","https://openalex.org/W3104757150","https://openalex.org/W3125848009","https://openalex.org/W6679546383","https://openalex.org/W6682665746"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2372385138","https://openalex.org/W4296359239"],"abstract_inverted_index":{"We":[0,108],"introduce":[1,115],"the":[2,12,44,49,105,112,125],"SECL-UMons":[3],"dataset":[4,19,36],"for":[5,75,81,104,119,124],"sound":[6],"event":[7,24],"classification":[8,121],"and":[9,54,78,122],"localization":[10,123],"in":[11,31,48],"context":[13],"of":[14,22,40,46,64,83],"office":[15],"environments.":[16],"The":[17,35,67,86],"multichannel":[18],"is":[20,69,98],"composed":[21],"11":[23],"classes":[25],"recorded":[26,59],"at":[27],"several":[28],"realistic":[29],"positions":[30],"two":[32,38],"different":[33,84],"rooms.":[34],"comprises":[37],"types":[39],"sequences":[41,53,57],"according":[42],"to":[43,61,72,100,114],"number":[45],"events":[47],"sequence.":[50],"2662":[51],"unilabel":[52],"2724":[55],"multilabel":[56],"are":[58],"corresponding":[60],"a":[62,93,116],"total":[63],"5.24":[65],"hours.":[66],"database":[68],"publicly":[70],"available":[71],"provide":[73],"support":[74],"algorithm":[76],"development":[77],"common":[79],"ground":[80],"comparison":[82],"techniques.":[85],"DCASE":[87],"2019":[88],"challenge":[89],"baseline":[90],"(SELDnet)":[91],"employing":[92],"convolutional":[94],"recurrent":[95],"neural":[96],"network":[97],"used":[99],"generate":[101],"benchmark":[102,117],"scores":[103],"new":[106,126],"dataset.":[107,127],"also":[109],"slightly":[110],"modify":[111],"model":[113],"score":[118],"real-time":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}