{"id":"https://openalex.org/W4403127010","doi":"https://doi.org/10.1109/iwaenc61483.2024.10694221","title":"Uncertainty-Based Remixing for Unsupervised Domain Adaptation in Deep Speech Enhancement","display_name":"Uncertainty-Based Remixing for Unsupervised Domain Adaptation in Deep Speech Enhancement","publication_year":2024,"publication_date":"2024-09-09","ids":{"openalex":"https://openalex.org/W4403127010","doi":"https://doi.org/10.1109/iwaenc61483.2024.10694221"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc61483.2024.10694221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc61483.2024.10694221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"},"type":"article","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/A5011728435","display_name":"Huajian Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Huajian Fang","raw_affiliation_strings":["Universität Hamburg,Signal Processing (SP),Germany"],"affiliations":[{"raw_affiliation_string":"Universität Hamburg,Signal Processing (SP),Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087022569","display_name":"Timo Gerkmann","orcid":"https://orcid.org/0000-0002-8678-4699"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timo Gerkmann","raw_affiliation_strings":["Universität Hamburg,Signal Processing (SP),Germany"],"affiliations":[{"raw_affiliation_string":"Universität Hamburg,Signal Processing (SP),Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011728435"],"corresponding_institution_ids":["https://openalex.org/I159176309"],"apc_list":null,"apc_paid":null,"fwci":0.3292,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55103339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9965999722480774,"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/T10860","display_name":"Speech and Audio Processing","score":0.9965999722480774,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9506999850273132,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/domain-adaptation","display_name":"Domain adaptation","score":0.7283245325088501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.713250458240509},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5381900072097778},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5177868604660034},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4925480782985687},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47912096977233887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4112628102302551},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07904881238937378},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.0745050311088562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06961914896965027}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.7283245325088501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713250458240509},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5381900072097778},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5177868604660034},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4925480782985687},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47912096977233887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4112628102302551},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07904881238937378},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0745050311088562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06961914896965027},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwaenc61483.2024.10694221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc61483.2024.10694221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)","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":32,"referenced_works":["https://openalex.org/W2051428568","https://openalex.org/W2289394825","https://openalex.org/W2885308148","https://openalex.org/W2889442120","https://openalex.org/W2962866211","https://openalex.org/W2962894366","https://openalex.org/W2966415767","https://openalex.org/W3014596384","https://openalex.org/W3015794161","https://openalex.org/W3026041220","https://openalex.org/W3031505850","https://openalex.org/W3097906045","https://openalex.org/W3122264812","https://openalex.org/W3131332223","https://openalex.org/W3160129476","https://openalex.org/W3160733670","https://openalex.org/W3162538144","https://openalex.org/W3163341049","https://openalex.org/W3163464943","https://openalex.org/W3174264304","https://openalex.org/W3197227964","https://openalex.org/W3205181379","https://openalex.org/W4317581828","https://openalex.org/W4362690115","https://openalex.org/W4372266017","https://openalex.org/W4372266898","https://openalex.org/W4375868822","https://openalex.org/W6733814495","https://openalex.org/W6771787070","https://openalex.org/W6773005947","https://openalex.org/W6784499681","https://openalex.org/W6797001314"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3096184950","https://openalex.org/W4231424160","https://openalex.org/W2275432853","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196"],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2],"shown":[3],"the":[4,31,35,38,52,61,77,83,116,121,132,149],"effectiveness":[5],"of":[6,37],"remixing-based":[7],"unsupervised":[8],"domain":[9],"adaption":[10],"algorithms,":[11],"where":[12],"a":[13,139],"student":[14,39,78],"model":[15,40,63,79,150],"is":[16],"fine-tuned":[17],"on":[18],"self-labeled":[19],"noisy-clean":[20],"speech":[21,26,87,146],"data":[22,98],"synthesized":[23],"by":[24,44,51,114],"remixing":[25,73,135],"and":[27,69,89,102,145],"noise":[28,143],"predictions":[29],"from":[30,46,82],"teacher":[32,53,62,84],"model.":[33,54],"However,":[34],"optimization":[36],"may":[41],"be":[42,152],"hindered":[43],"learning":[45],"fundamentally":[47],"erroneous":[48],"pseudo-targets":[49],"created":[50],"To":[55],"address":[56],"this":[57],"limitation,":[58],"we":[59],"augment":[60],"with":[64,109],"an":[65,71],"uncertainty":[66,117],"estimation":[67],"task":[68],"propose":[70],"uncertainty-based":[72,134],"method":[74],"that":[75],"allows":[76,137],"to":[80,119,151,154],"learn":[81],"model's":[85],"high-quality":[86],"estimates":[88,123],"effectively":[90],"suppress":[91],"noise.":[92],"Experiments":[93],"demonstrate":[94],"improved":[95],"robustness":[96],"against":[97],"mismatches":[99],"between":[100,142],"training":[101],"testing":[103],"conditions,":[104],"especially":[105],"for":[106,124,138],"challenging":[107],"inputs":[108],"low":[110],"signal-to-noise":[111],"ratios.":[112],"Moreover,":[113],"adjusting":[115],"threshold":[118],"categorize":[120],"teacher's":[122],"unlabeled":[125],"noisy":[126],"samples":[127],"as":[128],"reliable":[129],"or":[130],"unreliable,":[131],"proposed":[133],"process":[136],"controllable":[140],"trade-off":[141],"suppression":[144],"preservation,":[147],"enabling":[148],"adapted":[153],"diverse":[155],"application":[156],"needs.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}