{"id":"https://openalex.org/W2514825801","doi":"https://doi.org/10.1109/iwaenc.2016.7602939","title":"The open-set problem in acoustic scene classification","display_name":"The open-set problem in acoustic scene classification","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2514825801","doi":"https://doi.org/10.1109/iwaenc.2016.7602939","mag":"2514825801"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc.2016.7602939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028209154","display_name":"Daniele Battaglino","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Daniele Battaglino","raw_affiliation_strings":["EURECOM, Biot, France","NXP Software, Mougins, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, Biot, France","institution_ids":["https://openalex.org/I1902872"]},{"raw_affiliation_string":"NXP Software, Mougins, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020952319","display_name":"Ludovick Lepauloux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ludovick Lepauloux","raw_affiliation_strings":["NXP Software, Mougins, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NXP Software, Mougins, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066811192","display_name":"Nicholas Evans","orcid":"https://orcid.org/0000-0002-8459-1041"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicholas Evans","raw_affiliation_strings":["EURECOM, Biot, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, Biot, France","institution_ids":["https://openalex.org/I1902872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9994999766349792,"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/T11220","display_name":"Water Systems and Optimization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.7629349827766418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7343223690986633},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6995230913162231},{"id":"https://openalex.org/keywords/openness-to-experience","display_name":"Openness to experience","score":0.5573961734771729},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5529581904411316},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.5169283747673035},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46778663992881775},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4372398257255554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42259353399276733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39628010988235474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3547886312007904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3442203998565674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12264823913574219},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07181936502456665}],"concepts":[{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.7629349827766418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343223690986633},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6995230913162231},{"id":"https://openalex.org/C84976871","wikidata":"https://www.wikidata.org/wiki/Q2015673","display_name":"Openness to experience","level":2,"score":0.5573961734771729},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5529581904411316},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.5169283747673035},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46778663992881775},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4372398257255554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42259353399276733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39628010988235474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3547886312007904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3442203998565674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12264823913574219},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07181936502456665},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwaenc.2016.7602939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"},{"id":"pmh:oai:fr.eurecom:4954","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/4954","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IWAENC 2016, 15th International Workshop on Acoustic Signal Enhancement, September 13-16, 2016, Xi'an, China
","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1536849983","https://openalex.org/W1592753633","https://openalex.org/W1618905105","https://openalex.org/W1674066309","https://openalex.org/W1754663873","https://openalex.org/W1964538581","https://openalex.org/W1965980674","https://openalex.org/W1986563448","https://openalex.org/W2015363484","https://openalex.org/W2047346462","https://openalex.org/W2070420167","https://openalex.org/W2092170487","https://openalex.org/W2095147901","https://openalex.org/W2103235956","https://openalex.org/W2105087447","https://openalex.org/W2119880843","https://openalex.org/W2124648367","https://openalex.org/W2131981197","https://openalex.org/W2133324003","https://openalex.org/W2145277351","https://openalex.org/W2147174722","https://openalex.org/W2153635508","https://openalex.org/W2164641162","https://openalex.org/W2165447611","https://openalex.org/W2170505850","https://openalex.org/W2173238699","https://openalex.org/W2184638288","https://openalex.org/W2315268655","https://openalex.org/W2561557072","https://openalex.org/W3103385400","https://openalex.org/W4233392025","https://openalex.org/W6632094875","https://openalex.org/W6635582692","https://openalex.org/W6636501900","https://openalex.org/W6637848757","https://openalex.org/W6674316043","https://openalex.org/W6681474505"],"related_works":["https://openalex.org/W2007906249","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W4286910063","https://openalex.org/W2163707935","https://openalex.org/W83146503","https://openalex.org/W2169074127","https://openalex.org/W2442806191","https://openalex.org/W202723009","https://openalex.org/W2188612292"],"abstract_inverted_index":{"Acoustic":[0],"scene":[1],"classification":[2,19],"(ASC)":[3],"has":[4,16],"attracted":[5],"growing":[6],"research":[7],"interest":[8],"in":[9,27,41],"recent":[10],"years.":[11],"Whereas":[12],"the":[13,21,32,36,46,60,75,85],"previous":[14],"work":[15],"investigated":[17],"closed-set":[18],"scenarios,":[20],"predominant":[22],"ASC":[23,40,50],"application":[24],"is":[25,82],"open-set":[26,43,49,61,78],"nature.":[28],"The":[29],"contributions":[30],"of":[31,39,48,77,94],"paper":[33],"are":[34],"(i)":[35],"first":[37],"investigation":[38],"an":[42],"scenario,":[44],"(ii)":[45],"formulation":[47],"as":[51],"a":[52,56,65],"detection":[53],"problem,":[54],"(iii)":[55],"classifier":[57,90],"tailored":[58],"to":[59],"scenario":[62],"and":[63,69],"(iv)":[64],"new":[66],"assessment":[67],"protocol":[68],"metric.":[70],"Experiments":[71],"show":[72],"that,":[73],"despite":[74],"challenge":[76],"ASC,":[79],"reliable":[80],"performance":[81],"achieved":[83],"with":[84],"support":[86],"vector":[87],"data":[88],"description":[89],"for":[91],"varying":[92],"levels":[93],"openness.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}