{"id":"https://openalex.org/W4392909678","doi":"https://doi.org/10.1109/icassp48485.2024.10446791","title":"A Hybrid Deep-Online Learning Based Method for Active Noise Control in Wave Domain","display_name":"A Hybrid Deep-Online Learning Based Method for Active Noise Control in Wave Domain","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909678","doi":"https://doi.org/10.1109/icassp48485.2024.10446791"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101031235","display_name":"Donghang Wu","orcid":"https://orcid.org/0009-0004-3597-8284"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Donghang Wu","raw_affiliation_strings":["Peking University,National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology,Beijing,China","National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084685506","display_name":"Xihong Wu","orcid":"https://orcid.org/0009-0004-5236-7469"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihong Wu","raw_affiliation_strings":["Peking University,National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology,Beijing,China","National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103080532","display_name":"Tianshu Qu","orcid":"https://orcid.org/0000-0001-6256-2031"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianshu Qu","raw_affiliation_strings":["Peking University,National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology,Beijing,China","National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University,National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I4210100255"]},{"raw_affiliation_string":"National Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101031235"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":0.7716,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63535272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1301","last_page":"1305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9983000159263611,"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/active-noise-control","display_name":"Active noise control","score":0.813599705696106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7542857527732849},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7372449636459351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6305354237556458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6086674332618713},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5355923175811768},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.47296518087387085},{"id":"https://openalex.org/keywords/noise-control","display_name":"Noise control","score":0.419761061668396},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41164547204971313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3970656991004944},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3354186415672302},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.26028093695640564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1063072681427002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0680004358291626}],"concepts":[{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.813599705696106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542857527732849},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7372449636459351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6305354237556458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6086674332618713},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5355923175811768},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.47296518087387085},{"id":"https://openalex.org/C116822448","wikidata":"https://www.wikidata.org/wiki/Q1879301","display_name":"Noise control","level":3,"score":0.419761061668396},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41164547204971313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3970656991004944},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3354186415672302},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.26028093695640564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1063072681427002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0680004358291626},{"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/icassp48485.2024.10446791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2401495373","display_name":null,"funder_award_id":"61421062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3389713118","display_name":null,"funder_award_id":"61175043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1936928165","https://openalex.org/W2034119727","https://openalex.org/W2066140125","https://openalex.org/W2067281793","https://openalex.org/W2082788645","https://openalex.org/W2115433244","https://openalex.org/W2117678320","https://openalex.org/W2125007316","https://openalex.org/W2129753258","https://openalex.org/W2140296346","https://openalex.org/W2148051967","https://openalex.org/W2168519965","https://openalex.org/W2170247106","https://openalex.org/W2785523195","https://openalex.org/W2787530354","https://openalex.org/W3097284340","https://openalex.org/W3209141406","https://openalex.org/W4297841463","https://openalex.org/W4320905491","https://openalex.org/W4387129565"],"related_works":["https://openalex.org/W2494487075","https://openalex.org/W2129407702","https://openalex.org/W2313354385","https://openalex.org/W2717219646","https://openalex.org/W2592250698","https://openalex.org/W4387816754","https://openalex.org/W2162903760","https://openalex.org/W2675592616","https://openalex.org/W4386391545","https://openalex.org/W2017430439"],"abstract_inverted_index":{"The":[0,75],"traditional":[1],"feedback":[2,25],"Active":[3],"Noise":[4],"Control":[5],"(ANC)":[6],"algorithms":[7,27],"are":[8],"built":[9],"upon":[10],"linear":[11],"filters,":[12],"which":[13,66],"leads":[14],"to":[15,31],"reduced":[16],"performance":[17,43,81,91],"when":[18,45],"dealing":[19],"with":[20,70],"real-world":[21],"noise.":[22,132],"Deep":[23],"learning-based":[24],"ANC":[26,64],"have":[28],"been":[29],"proposed":[30,57,76],"overcome":[32],"this":[33,104],"problem.":[34],"However,":[35],"methods":[36],"relying":[37],"on":[38,82],"pre-trained":[39,71],"neural":[40,73],"networks":[41],"exhibit":[42],"degradation":[44],"encountering":[46],"noise":[47,83,94,107,142],"from":[48,84,95],"unseen":[49,131],"scenes":[50,87],"in":[51,128,140],"the":[52,80,85,90,117,120,134],"training":[53],"dataset.":[54],"This":[55],"paper":[56,105],"a":[58,110],"hybrid":[59],"deep-online":[60],"learning":[61,69,124,127],"based":[62],"spatial":[63,112,141],"system":[65],"combines":[67],"online":[68,123],"deep":[72,126],"networks.":[74],"method":[77],"can":[78],"keep":[79],"trained":[86],"while":[88],"improve":[89],"of":[92,119,122,136],"cancelling":[93],"new":[96],"scenes.":[97],"Additionally,":[98],"by":[99],"incorporating":[100],"wave":[101,137],"domain":[102,138],"decomposition,":[103],"achieves":[106],"cancellation":[108,143],"over":[109],"control":[111],"region.":[113],"Simulation":[114],"experiments":[115],"validate":[116],"effectiveness":[118],"combination":[121],"and":[125],"handling":[129],"previously":[130],"Furthermore,":[133],"efficiency":[135],"decomposition":[139],"is":[144],"also":[145],"verified.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}