{"id":"https://openalex.org/W7123363540","doi":"https://doi.org/10.1109/tce.2026.3651609","title":"Deep-Learning-Based Multi-Point Sound Field Control in Reverberant Environments","display_name":"Deep-Learning-Based Multi-Point Sound Field Control in Reverberant Environments","publication_year":2026,"publication_date":"2026-01-12","ids":{"openalex":"https://openalex.org/W7123363540","doi":"https://doi.org/10.1109/tce.2026.3651609"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2026.3651609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3651609","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","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/A5111013696","display_name":"Kairan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kairan Liang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033261669","display_name":"Hanyun Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hanyun Guo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045371931","display_name":"Limei Peng","orcid":"https://orcid.org/0000-0001-9984-9861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Limei Peng","raw_affiliation_strings":["Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9984-9861","affiliations":[{"raw_affiliation_string":"Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109204460","display_name":"Pin-Han Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pin-Han Ho","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0717-1481","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122906885","display_name":"Jing Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210164332","display_name":"Shenzhen Second People's Hospital","ror":"https://ror.org/05c74bq69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210164332"]},{"id":"https://openalex.org/I4210166055","display_name":"Shenzhen Third People\u2019s Hospital","ror":"https://ror.org/04xfsbk97","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210166055"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yuan","raw_affiliation_strings":["Infectious Disease Department, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Infectious Disease Department, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210166055","https://openalex.org/I4210164332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067581273","display_name":"Tong Wei","orcid":"https://orcid.org/0000-0002-2104-2694"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Tong Wei","raw_affiliation_strings":["Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Capellen, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0002-2104-2694","affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Capellen, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06546035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"1","first_page":"2399","last_page":"2408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.6934000253677368,"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":0.6934000253677368,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.15870000422000885,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.10499999672174454,"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/loudspeaker","display_name":"Loudspeaker","score":0.786300003528595},{"id":"https://openalex.org/keywords/architectural-acoustics","display_name":"Architectural acoustics","score":0.5224000215530396},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.47209998965263367},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44429999589920044},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.4390000104904175},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.43320000171661377},{"id":"https://openalex.org/keywords/noise-control","display_name":"Noise control","score":0.43309998512268066},{"id":"https://openalex.org/keywords/active-noise-control","display_name":"Active noise control","score":0.41940000653266907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41029998660087585},{"id":"https://openalex.org/keywords/sound-pressure","display_name":"Sound pressure","score":0.4027000069618225}],"concepts":[{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.786300003528595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797999739646912},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5303000211715698},{"id":"https://openalex.org/C2776009117","wikidata":"https://www.wikidata.org/wiki/Q2305951","display_name":"Architectural acoustics","level":3,"score":0.5224000215530396},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C116822448","wikidata":"https://www.wikidata.org/wiki/Q1879301","display_name":"Noise control","level":3,"score":0.43309998512268066},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.41940000653266907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.4027000069618225},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.39309999346733093},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.39089998602867126},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C178432105","wikidata":"https://www.wikidata.org/wiki/Q2182127","display_name":"Room acoustics","level":3,"score":0.37860000133514404},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3765999972820282},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.33480000495910645},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2879999876022339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.26570001244544983},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.2624000012874603},{"id":"https://openalex.org/C104138954","wikidata":"https://www.wikidata.org/wiki/Q5280449","display_name":"Directional sound","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C146719601","wikidata":"https://www.wikidata.org/wiki/Q859044","display_name":"Acoustical engineering","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.2542000114917755},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2026.3651609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3651609","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"reverberant":[1,98,179],"environments,":[2],"multipath":[3],"propagation":[4],"severely":[5],"limits":[6],"the":[7,53,60,67,72,91,105,133,162],"performance":[8],"of":[9,45,97,104,141,164],"conventional":[10],"sound":[11,35,69,175],"field":[12,36,176],"control":[13,19,37,47,74,177],"methods":[14],"such":[15],"as":[16,167],"active":[17],"noise":[18,142],"(ANC)":[20],"and":[21,83,94,112,156,170],"spatial":[22,92,150],"audio":[23],"reproduction.":[24],"This":[25],"paper":[26],"presents":[27],"an":[28],"end-to-end":[29],"deep":[30,165],"learning":[31,166],"framework":[32],"for":[33,173],"multi-point":[34],"that":[38,132],"operates":[39],"using":[40],"only":[41],"a":[42,168],"small":[43],"set":[44],"target":[46],"points.":[48],"Unlike":[49],"traditional":[50],"model-based":[51],"approaches,":[52],"proposed":[54,134],"system":[55],"directly":[56],"learns":[57],"to":[58,88,138],"generate":[59],"secondary":[61],"loudspeaker\u2019s":[62],"driving":[63],"signals":[64],"by":[65],"minimizing":[66],"residual":[68],"pressure":[70],"at":[71,144],"specified":[73],"positions.":[75],"A":[76],"temporal\u2013":[77],"frequency":[78],"neural":[79],"architecture":[80],"incorporating":[81],"convolutional":[82],"attention":[84],"layers":[85],"is":[86],"employed":[87],"capture":[89],"both":[90],"correlations":[93],"temporal":[95],"dynamics":[96],"fields.":[99],"The":[100],"method":[101],"requires":[102],"knowledge":[103],"room":[106,120],"impulse":[107],"responses":[108],"(RIRs)":[109],"between":[110],"loudspeakers":[111],"microphones":[113],"but":[114],"does":[115],"not":[116],"depend":[117],"on":[118],"explicit":[119],"geometry":[121],"or":[122],"boundary":[123],"conditions.":[124],"Simulation":[125],"results":[126],"in":[127,178],"complex":[128],"acoustic":[129],"environments":[130],"demonstrate":[131],"approach":[135],"achieves":[136],"up":[137],"10":[139],"dB":[140],"reduction":[143],"controlled":[145],"positions":[146],"while":[147],"maintaining":[148],"strong":[149],"selectivity":[151],"compared":[152],"with":[153],"robust":[154],"FxLMS":[155],"wave-domain":[157],"baselines.":[158],"These":[159],"findings":[160],"highlight":[161],"potential":[163],"scalable":[169],"flexible":[171],"solution":[172],"real-time":[174],"spaces.":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-14T00:00:00"}