{"id":"https://openalex.org/W4313184291","doi":"https://doi.org/10.1109/iwaenc53105.2022.9914695","title":"Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies","display_name":"Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4313184291","doi":"https://doi.org/10.1109/iwaenc53105.2022.9914695"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc53105.2022.9914695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc53105.2022.9914695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5021581272","display_name":"Junkai Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junkai Wu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014125577","display_name":"Jonah Casebeer","orcid":"https://orcid.org/0000-0002-8741-9773"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonah Casebeer","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045694117","display_name":"Nicholas J. Bryan","orcid":"https://orcid.org/0000-0003-1469-7278"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas J. Bryan","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038903729","display_name":"Paris Smaragdis","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paris Smaragdis","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5537,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64612846,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/adaptive-filter","display_name":"Adaptive filter","score":0.7601834535598755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747785806655884},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5745090246200562},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5533317923545837},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.5161831974983215},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5078466534614563},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.503339946269989},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.48734793066978455},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.42854541540145874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37957578897476196},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37770724296569824},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.24486398696899414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21145087480545044},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12218379974365234}],"concepts":[{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.7601834535598755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747785806655884},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5745090246200562},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5533317923545837},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.5161831974983215},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5078466534614563},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.503339946269989},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.48734793066978455},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.42854541540145874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37957578897476196},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37770724296569824},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.24486398696899414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21145087480545044},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12218379974365234},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwaenc53105.2022.9914695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc53105.2022.9914695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2996333928","https://openalex.org/W2009075871","https://openalex.org/W2132841313","https://openalex.org/W2518591292","https://openalex.org/W2105408150","https://openalex.org/W1976800395","https://openalex.org/W2548445082","https://openalex.org/W2606661315","https://openalex.org/W636053046"],"abstract_inverted_index":{"Adaptive":[0,16],"filters":[1,17,98,117],"are":[2,18,38,126],"applicable":[3],"to":[4,81,96],"many":[5],"signal":[6],"processing":[7],"tasks":[8],"including":[9],"acoustic":[10,109],"echo":[11,110],"cancellation,":[12],"beamforming,":[13],"and":[14,49,112,125],"more.":[15],"typically":[19],"controlled":[20],"using":[21,72],"algorithms":[22],"such":[23,83],"as":[24],"least-mean":[25],"squares":[26,30],"(LMS),":[27],"recursive":[28],"least":[29,128],"(RLS),":[31],"or":[32,140],"Kalman":[33],"filter":[34,70],"updates.":[35],"Such":[36],"models":[37],"often":[39],"applied":[40],"in":[41],"the":[42],"frequency":[43,46,54,102],"domain,":[44],"assume":[45],"independent":[47],"processing,":[48],"do":[50],"not":[51],"exploit":[52,82],"higher-order":[53,90,101],"dependencies,":[55],"for":[56],"simplicity.":[57],"Recent":[58],"work":[59,80],"on":[60,108],"meta-adaptive":[61,91,97],"filters,":[62,92],"however,":[63],"has":[64],"shown":[65],"that":[66,99,118],"we":[67,88,134],"can":[68],"control":[69],"adaptation":[71],"neural":[73],"networks":[74],"without":[75,141],"manual":[76],"derivation,":[77],"motivating":[78],"new":[79],"information.":[84],"In":[85],"this":[86],"work,":[87],"present":[89],"a":[93,114,142],"key":[94],"improvement":[95],"incorporates":[100],"dependencies.":[103],"We":[104],"demonstrate":[105],"our":[106,136],"approach":[107],"cancellation":[111],"develop":[113],"family":[115],"of":[116],"yield":[119],"multi-dB":[120],"improvements":[121,137],"over":[122],"competitive":[123],"baselines,":[124],"at":[127],"an":[129],"order-of-magnitude":[130],"less":[131],"complex.":[132],"Moreover,":[133],"show":[135],"hold":[138],"with":[139],"downstream":[143],"speech":[144],"enhancer.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
