{"id":"https://openalex.org/W2982156428","doi":"https://doi.org/10.1109/waspaa.2019.8937249","title":"Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers","display_name":"Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2982156428","doi":"https://doi.org/10.1109/waspaa.2019.8937249","mag":"2982156428"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa.2019.8937249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.12004","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025025113","display_name":"Eduardo Fonseca","orcid":"https://orcid.org/0000-0001-9872-3917"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Eduardo Fonseca","raw_affiliation_strings":["Music Technology Group, Universitat Pompeu Fabra, Barcelona","Universitat Pompeu Fabra,Music Technology Group,Barcelona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, Barcelona","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Universitat Pompeu Fabra,Music Technology Group,Barcelona","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072565954","display_name":"Frederic Font","orcid":"https://orcid.org/0000-0002-4360-3210"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Frederic Font","raw_affiliation_strings":["Music Technology Group, Universitat Pompeu Fabra, Barcelona","Universitat Pompeu Fabra,Music Technology Group,Barcelona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, Barcelona","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Universitat Pompeu Fabra,Music Technology Group,Barcelona","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006479715","display_name":"Xavier Serra","orcid":"https://orcid.org/0000-0003-1395-2345"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Universitat Pompeu Fabra","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier Serra","raw_affiliation_strings":["Music Technology Group, Universitat Pompeu Fabra, Barcelona","Pompeu Fabra Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Music Technology Group, Universitat Pompeu Fabra, Barcelona","institution_ids":["https://openalex.org/I170486558"]},{"raw_affiliation_string":"Pompeu Fabra Univ","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170486558"],"apc_list":null,"apc_paid":null,"fwci":0.3821,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52485977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"16","last_page":"20"},"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/T11220","display_name":"Water Systems and Optimization","score":0.9883999824523926,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9588000178337097,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.854203999042511},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6412003636360168},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6027258038520813},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5935239195823669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5685940980911255},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5566970705986023},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5413484573364258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144598484039307},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4988279342651367},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.43970224261283875},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4268280565738678},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.367387980222702},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32932788133621216},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08550107479095459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.854203999042511},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6412003636360168},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6027258038520813},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5935239195823669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5685940980911255},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5566970705986023},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5413484573364258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144598484039307},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4988279342651367},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.43970224261283875},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4268280565738678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.367387980222702},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32932788133621216},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08550107479095459},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/waspaa.2019.8937249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.12004","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12004","pdf_url":"https://arxiv.org/pdf/1910.12004","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2982156428","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1910.12004","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1910.12004","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.12004","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.12004","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12004","pdf_url":"https://arxiv.org/pdf/1910.12004","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G972256834","display_name":"Audio Commons: An Ecosystem for Creative Reuse of Audio Content","funder_award_id":"688382","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982156428.pdf","grobid_xml":"https://content.openalex.org/works/W2982156428.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2033875152","https://openalex.org/W2038484192","https://openalex.org/W2052666245","https://openalex.org/W2095705004","https://openalex.org/W2176625348","https://openalex.org/W2183341477","https://openalex.org/W2557283755","https://openalex.org/W2577784528","https://openalex.org/W2593116425","https://openalex.org/W2752782242","https://openalex.org/W2765407302","https://openalex.org/W2770119437","https://openalex.org/W2809067860","https://openalex.org/W2885593519","https://openalex.org/W2901008872","https://openalex.org/W2950220847","https://openalex.org/W2963096987","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963697299","https://openalex.org/W2963735582","https://openalex.org/W2963759070","https://openalex.org/W2963859210","https://openalex.org/W2963906190","https://openalex.org/W2964234160","https://openalex.org/W2964292098","https://openalex.org/W2982343573","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6736098614","https://openalex.org/W6740005241","https://openalex.org/W6743885473","https://openalex.org/W6745136726","https://openalex.org/W6746278845","https://openalex.org/W6751420435","https://openalex.org/W6751647823","https://openalex.org/W6753218218","https://openalex.org/W6753583920","https://openalex.org/W6753772092","https://openalex.org/W6756163718","https://openalex.org/W6763485134"],"related_works":["https://openalex.org/W2998559948","https://openalex.org/W2907921586","https://openalex.org/W3090840755","https://openalex.org/W3154887629","https://openalex.org/W2767183759","https://openalex.org/W2963659419","https://openalex.org/W2967052791","https://openalex.org/W3160142643","https://openalex.org/W3105011493","https://openalex.org/W3211898101","https://openalex.org/W3183229916","https://openalex.org/W3100040045","https://openalex.org/W2990019157","https://openalex.org/W2911315315","https://openalex.org/W2979901318","https://openalex.org/W3129603874","https://openalex.org/W3035271324","https://openalex.org/W2809951251","https://openalex.org/W3091088803","https://openalex.org/W3207337382"],"abstract_inverted_index":{"The":[0],"following":[1],"topics":[2],"are":[3],"dealt":[4],"with:":[5],"audio":[6],"signal":[7,13],"processing;":[8,14,25],"learning":[9],"(artificial":[10],"intelligence);":[11],"acoustic":[12],"speech":[15,24],"enhancement;":[16],"neural":[17],"nets;":[18],"reverberation;":[19],"feature":[20],"extraction;":[21],"source":[22],"separation;":[23],"microphone":[26],"arrays.":[27]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}