{"id":"https://openalex.org/W4408353335","doi":"https://doi.org/10.1109/icassp49660.2025.10890348","title":"DeepPEM-AFC: An Improved Prediction-Error-Method-based Adaptive Feedback Cancellation with Deep Learning for Hearing Aids","display_name":"DeepPEM-AFC: An Improved Prediction-Error-Method-based Adaptive Feedback Cancellation with Deep Learning for Hearing Aids","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353335","doi":"https://doi.org/10.1109/icassp49660.2025.10890348"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5044756341","display_name":"Xiaowei Zhan","orcid":"https://orcid.org/0000-0002-1006-3342"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofan Zhan","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088554529","display_name":"Fengyuan Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyuan Hao","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369719","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0003-0346-1526"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070266277","display_name":"Chengshi Zheng","orcid":"https://orcid.org/0000-0001-5656-994X"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengshi Zheng","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Noise and Vibration Research, Institute of Acoustics","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044756341"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06339928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9944999814033508,"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/T10860","display_name":"Speech and Audio Processing","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7302787899971008},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4932181239128113},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.484181672334671},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4701932370662689},{"id":"https://openalex.org/keywords/error-analysis","display_name":"Error analysis","score":0.4477081298828125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4447583556175232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30345356464385986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10302221775054932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302787899971008},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4932181239128113},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.484181672334671},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4701932370662689},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.4477081298828125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4447583556175232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30345356464385986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10302221775054932},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W158628425","https://openalex.org/W1493163583","https://openalex.org/W1494198834","https://openalex.org/W1552314771","https://openalex.org/W1605947910","https://openalex.org/W1654142233","https://openalex.org/W1969246536","https://openalex.org/W1973524311","https://openalex.org/W1977144816","https://openalex.org/W2004074580","https://openalex.org/W2026608123","https://openalex.org/W2032817878","https://openalex.org/W2036512040","https://openalex.org/W2097095546","https://openalex.org/W2148862269","https://openalex.org/W2156367112","https://openalex.org/W2158710540","https://openalex.org/W2178732099","https://openalex.org/W2203784451","https://openalex.org/W2219990631","https://openalex.org/W2516001803","https://openalex.org/W2544921883","https://openalex.org/W2626210771","https://openalex.org/W2964058413","https://openalex.org/W4226134299","https://openalex.org/W4312118498","https://openalex.org/W4375869056","https://openalex.org/W4387790024","https://openalex.org/W4392908933","https://openalex.org/W4402112454","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Hearing":[0],"assistive":[1],"devices":[2],"aim":[3],"to":[4,58,102,165],"compensate":[5],"hearing":[6,42],"loss":[7,43],"for":[8,36,152],"hearing-impaired":[9],"listeners,":[10],"and":[11,30,62,78,130,171],"their":[12,34],"maximum":[13],"stable":[14],"gain":[15],"(MSG)":[16],"is":[17,54,150],"constrained":[18],"because":[19,70],"of":[20,23,71,107,114],"the":[21,24,28,72,76,105,121,127,134,181],"existence":[22],"acoustic":[25,60,143],"feedback":[26,51,61,79,144],"between":[27,75],"receiver":[29],"microphone,":[31],"resulting":[32],"in":[33,89,118,132],"inefficiency":[35],"individuals":[37],"with":[38,176],"severe":[39],"or":[40],"profound":[41],"who":[44],"require":[45],"very":[46],"large":[47],"amplification":[48],"gain.":[49],"Adaptive":[50],"cancellation":[52],"(AFC)":[53],"an":[55],"effective":[56],"method":[57],"reduce":[59],"increase":[63],"MSG":[64],"but":[65],"its":[66,87],"performance":[67,106,163],"often":[68],"degrades":[69],"high":[73],"correlation":[74],"target":[77],"signals.":[80],"The":[81],"prediction-error-method":[82],"(PEM)-based":[83],"AFC":[84],"has":[85],"shown":[86],"capability":[88],"reducing":[90],"this":[91],"degradation.":[92],"This":[93],"paper":[94],"proposes":[95],"a":[96,146],"deep":[97,116],"learning-based":[98],"PEM-AFC":[99,109],"dubbed":[100],"DeepPEM-AFC":[101,159,175],"further":[103,179],"improve":[104,139],"traditional":[108,169],"by":[110],"fully":[111],"taking":[112],"advantage":[113],"both":[115],"learning":[117],"automatically":[119],"finding":[120],"optimal":[122],"step":[123],"size":[124],"when":[125],"updating":[126],"filter":[128],"coefficients":[129],"PEM":[131],"solving":[133],"abovementioned":[135],"high-correlation":[136],"problem.":[137],"To":[138],"generalization":[140],"across":[141],"different":[142],"paths,":[145],"path":[147],"generation":[148],"scheme":[149],"proposed":[151],"training":[153],"purposes.":[154],"Experimental":[155],"results":[156],"show":[157],"that":[158],"achieves":[160],"superior":[161],"tracking":[162],"compared":[164],"state-of-the-art":[166],"methods,":[167],"including":[168],"methods":[170],"Neural-AFC.":[172],"Moreover,":[173],"combining":[174],"frequency":[177],"shifting":[178],"improves":[180],"performance.":[182]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
