{"id":"https://openalex.org/W4391164125","doi":"https://doi.org/10.1109/taslp.2024.3358051","title":"Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation","display_name":"Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391164125","doi":"https://doi.org/10.1109/taslp.2024.3358051"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2024.3358051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3358051","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5029943909","display_name":"Lior Frenkel","orcid":"https://orcid.org/0000-0001-7795-4628"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Lior Frenkel","raw_affiliation_strings":["OriginAI and the Faculty of Engineering, Bar-Ilan univeristy, Ramat-Gan, Israel"],"raw_orcid":"https://orcid.org/0000-0001-7795-4628","affiliations":[{"raw_affiliation_string":"OriginAI and the Faculty of Engineering, Bar-Ilan univeristy, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080213609","display_name":"Shlomo E. Chazan","orcid":"https://orcid.org/0000-0002-6614-6112"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shlomo E. Chazan","raw_affiliation_strings":["OriginAI and the Faculty of Engineering, Bar-Ilan univeristy, Ramat-Gan, Israel"],"raw_orcid":"https://orcid.org/0000-0002-6614-6112","affiliations":[{"raw_affiliation_string":"OriginAI and the Faculty of Engineering, Bar-Ilan univeristy, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005409420","display_name":"Jacob Goldberger","orcid":"https://orcid.org/0000-0002-2225-1914"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jacob Goldberger","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan univeristy, Ramat-Gan, Israel"],"raw_orcid":"https://orcid.org/0000-0002-2225-1914","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan univeristy, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029943909"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":2.3017,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88140805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"1226","last_page":"1236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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/T10860","display_name":"Speech 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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9879000186920166,"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/computer-science","display_name":"Computer science","score":0.8224782943725586},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6346954107284546},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6046122908592224},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6026340126991272},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5499526858329773},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5319918394088745},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5273500084877014},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5219970941543579},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48691117763519287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48112693428993225},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4596398174762726},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.44039759039878845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3729587197303772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3389396667480469},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.19959759712219238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07910498976707458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224782943725586},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6346954107284546},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6046122908592224},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6026340126991272},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5499526858329773},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5319918394088745},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5273500084877014},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5219970941543579},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48691117763519287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48112693428993225},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4596398174762726},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.44039759039878845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3729587197303772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3389396667480469},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.19959759712219238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07910498976707458},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2024.3358051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3358051","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1552314771","https://openalex.org/W1901129140","https://openalex.org/W2117678320","https://openalex.org/W2141998673","https://openalex.org/W2242685705","https://openalex.org/W2763188033","https://openalex.org/W2766672686","https://openalex.org/W2890820256","https://openalex.org/W2895281799","https://openalex.org/W2962843322","https://openalex.org/W2962866211","https://openalex.org/W2963341071","https://openalex.org/W2963941778","https://openalex.org/W2964058413","https://openalex.org/W2972541922","https://openalex.org/W2973220283","https://openalex.org/W2985406498","https://openalex.org/W2998115938","https://openalex.org/W3011500442","https://openalex.org/W3015219411","https://openalex.org/W3015411705","https://openalex.org/W3096831136","https://openalex.org/W3097034112","https://openalex.org/W3097906045","https://openalex.org/W3097945073","https://openalex.org/W3134695619","https://openalex.org/W3136499730","https://openalex.org/W3160085755","https://openalex.org/W3161950572","https://openalex.org/W3212125355","https://openalex.org/W4200483526","https://openalex.org/W4245919820","https://openalex.org/W4292969786","https://openalex.org/W4385823085","https://openalex.org/W6757632829","https://openalex.org/W6762114000","https://openalex.org/W6784499681","https://openalex.org/W6803559545"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1630865680","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W4214692512","https://openalex.org/W4394775207","https://openalex.org/W2028936140","https://openalex.org/W2043884319"],"abstract_inverted_index":{"Speech":[0],"enhancement":[1],"and":[2,111,161],"dereverberation":[3],"approaches":[4],"based":[5,94,121],"on":[6,95,122],"neural":[7],"networks":[8,24],"are":[9,115,140],"designed":[10],"to":[11,17,31,118,125,142],"learn":[12],"a":[13],"transformation":[14],"from":[15,77,135],"noisy":[16,74],"clean":[18,84],"speech":[19,75,85,105],"using":[20],"supervised":[21],"learning.":[22],"However,":[23],"trained":[25],"in":[26,45],"this":[27,51,70],"way":[28],"may":[29],"fail":[30],"effectively":[32,153],"handle":[33],"languages,":[34],"types":[35],"of":[36],"noise,":[37],"or":[38],"acoustic":[39],"environments":[40],"that":[41,150],"were":[42],"not":[43],"included":[44],"the":[46,53,78,82,103,112,119,126,136,143,155,159,166],"training":[47,97,160],"data.":[48],"To":[49],"tackle":[50],"issue,":[52],"present":[54],"study":[55],"centers":[56],"around":[57],"unsupervised":[58],"domain":[59,67,138,156],"adaptation,":[60],"specifically":[61],"addressing":[62],"scenarios":[63],"characterized":[64],"by":[65,99],"substantial":[66],"gaps.":[68],"In":[69],"scenario,":[71],"we":[72],"have":[73],"data":[76,86],"new":[79],"domain,":[80],"but":[81],"corresponding":[83],"is":[87,106],"unavailable.":[88],"We":[89],"propose":[90],"an":[91],"adaptation":[92],"method":[93,152],"domainadversarial":[96],"followed":[98],"iterative":[100],"self-training,":[101],"where":[102],"estimated":[104],"used":[107],"as":[108],"pseudo":[109],"labels,":[110],"target":[113,144],"samples":[114,134],"gradually":[116],"introduced":[117],"network":[120],"their":[123],"similarity":[124],"source":[127,137],"domain.":[128,145],"The":[129,146],"self-training":[130],"also":[131],"utilizes":[132],"labeled":[133],"which":[139],"similar":[141],"experimental":[147],"results":[148],"show":[149],"our":[151],"mitigates":[154],"mismatch":[157],"between":[158],"test":[162],"sets,":[163],"thus":[164],"outperforming":[165],"current":[167],"baselines.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}