{"id":"https://openalex.org/W3202567238","doi":"https://doi.org/10.1109/waspaa52581.2021.9632721","title":"Cross-Domain Semi-Supervised Audio Event Classification Using Contrastive Regularization","display_name":"Cross-Domain Semi-Supervised Audio Event Classification Using Contrastive Regularization","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3202567238","doi":"https://doi.org/10.1109/waspaa52581.2021.9632721","mag":"3202567238"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa52581.2021.9632721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},"type":"preprint","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/A5021866186","display_name":"Donmoon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4210101929","display_name":"Cochlear (France)","ror":"https://ror.org/00zhfb561","country_code":"FR","type":"company","lineage":["https://openalex.org/I116431938","https://openalex.org/I4210101929"]}],"countries":["FR","KR"],"is_corresponding":true,"raw_author_name":"Donmoon Lee","raw_affiliation_strings":["Music and Research Group, Seoul National University,Department of Intelligence and Information","Cochlear.ai"],"affiliations":[{"raw_affiliation_string":"Music and Research Group, Seoul National University,Department of Intelligence and Information","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Cochlear.ai","institution_ids":["https://openalex.org/I4210101929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088852010","display_name":"Kyogu Lee","orcid":"https://orcid.org/0000-0002-4210-0312"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyogu Lee","raw_affiliation_strings":["Music and Research Group, Seoul National University,Department of Intelligence and Information","Artificial Intelligence Institute, Seoul National University"],"affiliations":[{"raw_affiliation_string":"Music and Research Group, Seoul National University,Department of Intelligence and Information","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Artificial Intelligence Institute, Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021866186"],"corresponding_institution_ids":["https://openalex.org/I139264467","https://openalex.org/I4210101929"],"apc_list":null,"apc_paid":null,"fwci":0.43193858,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61983415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"200"},"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":0.9991999864578247,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9801999926567078,"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/regularization","display_name":"Regularization (linguistics)","score":0.7757689356803894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7665150761604309},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6531962752342224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6342929601669312},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5776484608650208},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49725082516670227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4677550792694092},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3590840697288513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33246511220932007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1451420783996582}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7757689356803894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7665150761604309},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6531962752342224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6342929601669312},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5776484608650208},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49725082516670227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4677550792694092},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3590840697288513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33246511220932007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1451420783996582},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa52581.2021.9632721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1571801203","https://openalex.org/W1983108229","https://openalex.org/W2038484192","https://openalex.org/W2052666245","https://openalex.org/W2096733369","https://openalex.org/W2127589108","https://openalex.org/W2138621090","https://openalex.org/W2171590421","https://openalex.org/W2302255633","https://openalex.org/W2331128040","https://openalex.org/W2593116425","https://openalex.org/W2767754137","https://openalex.org/W2913340405","https://openalex.org/W2943865428","https://openalex.org/W2963622529","https://openalex.org/W2973049979","https://openalex.org/W2973157397","https://openalex.org/W2978426779","https://openalex.org/W3001197829","https://openalex.org/W3005680577","https://openalex.org/W3016659311","https://openalex.org/W3029858316","https://openalex.org/W3034978746","https://openalex.org/W3035060554","https://openalex.org/W3036982689","https://openalex.org/W3045062880","https://openalex.org/W3048911294","https://openalex.org/W3099206234","https://openalex.org/W3100859887","https://openalex.org/W3120167236","https://openalex.org/W3134486096","https://openalex.org/W3135828102","https://openalex.org/W3158553615","https://openalex.org/W3162276238","https://openalex.org/W3162472933","https://openalex.org/W3201143670","https://openalex.org/W4232282348","https://openalex.org/W6631190155","https://openalex.org/W6702130928","https://openalex.org/W6762913911","https://openalex.org/W6773005947","https://openalex.org/W6774314701","https://openalex.org/W6775888111","https://openalex.org/W6778572914","https://openalex.org/W6779326418","https://openalex.org/W6779977557","https://openalex.org/W6781150751","https://openalex.org/W6781834539","https://openalex.org/W6791429434"],"related_works":["https://openalex.org/W2130553454","https://openalex.org/W2237505347","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W2087783760","https://openalex.org/W1509924131","https://openalex.org/W3104108945","https://openalex.org/W2033364610","https://openalex.org/W3163689946","https://openalex.org/W2797776314"],"abstract_inverted_index":{"In":[0,50],"this":[1,33],"study,":[2],"we":[3,35,52],"proposed":[4,71],"a":[5,15,29,37],"novel":[6],"semi-supervised":[7],"training":[8,88],"method":[9,72],"that":[10,18,40,61,69,82],"uses":[11],"unlabeled":[12],"data":[13,25,27],"with":[14],"class":[16],"distribution":[17],"is":[19,41],"completely":[20],"different":[21],"from":[22],"the":[23,70,76],"target":[24,30,45],"or":[26],"without":[28],"label.":[31],"To":[32],"end,":[34],"introduce":[36],"contrastive":[38],"regularization":[39],"designed":[42],"to":[43,75],"be":[44],"task-oriented":[46],"and":[47,79,89],"trained":[48],"simultaneously.":[49],"addition,":[51],"propose":[53],"an":[54],"audio":[55],"mixing":[56],"based":[57],"simple":[58],"augmentation":[59],"strategy":[60],"performed":[62],"in":[63,86],"batch":[64],"samples.":[65],"Experimental":[66],"results":[67],"validate":[68],"successfully":[73],"contributed":[74],"performance":[77],"improvement,":[78],"particularly":[80],"showed":[81],"it":[83],"has":[84],"advantages":[85],"stable":[87],"generalization.":[90]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}