{"id":"https://openalex.org/W1968789246","doi":"https://doi.org/10.1109/aspaa.2011.6082342","title":"Reduced-bandwidth and low-complexity multichannel wiener filter for binaural hearing aids","display_name":"Reduced-bandwidth and low-complexity multichannel wiener filter for binaural hearing aids","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1968789246","doi":"https://doi.org/10.1109/aspaa.2011.6082342","mag":"1968789246"},"language":"en","primary_location":{"id":"doi:10.1109/aspaa.2011.6082342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspaa.2011.6082342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","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/A5082443607","display_name":"Jorge I. Marin-Hurtado","orcid":"https://orcid.org/0000-0002-6334-7322"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jorge I. Marin-Hurtado","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033437141","display_name":"David V. Anderson","orcid":"https://orcid.org/0000-0002-8571-4613"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David V. Anderson","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082443607"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.3445,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59602062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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":0.9994999766349792,"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/wiener-filter","display_name":"Wiener filter","score":0.6942611336708069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935524344444275},{"id":"https://openalex.org/keywords/binaural-recording","display_name":"Binaural recording","score":0.5582898259162903},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5438731908798218},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5254247188568115},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5121355056762695},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4229975640773773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3401026129722595},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20085248351097107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13727745413780212}],"concepts":[{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.6942611336708069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935524344444275},{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.5582898259162903},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5438731908798218},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5254247188568115},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5121355056762695},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4229975640773773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3401026129722595},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20085248351097107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13727745413780212}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aspaa.2011.6082342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspaa.2011.6082342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2019970185","https://openalex.org/W2026829282","https://openalex.org/W2106325442","https://openalex.org/W2108708552","https://openalex.org/W2114826795","https://openalex.org/W2127911452","https://openalex.org/W6676076978"],"related_works":["https://openalex.org/W2766995619","https://openalex.org/W4224270619","https://openalex.org/W2579722767","https://openalex.org/W2168148781","https://openalex.org/W1991848873","https://openalex.org/W2026165661","https://openalex.org/W2099651033","https://openalex.org/W2783525307","https://openalex.org/W2966246521","https://openalex.org/W2254945790"],"abstract_inverted_index":{"Binaural":[0],"hearing":[1,31],"aids":[2],"use":[3],"a":[4,90],"wireless":[5],"link":[6],"to":[7,43,120],"exchange":[8],"the":[9,16,45,84,94,124,134],"signals":[10],"received":[11],"at":[12],"each":[13],"side,":[14],"allowing":[15],"implementation":[17,55],"of":[18,56,66,123,136],"sophisticated":[19],"noise-reduction":[20,24],"strategies.":[21],"Although":[22],"different":[23,61,91],"strategies":[25,106],"have":[26,40,79],"been":[27,41,80],"reported":[28],"for":[29],"binaural":[30],"aids,":[32],"those":[33],"based":[34],"on":[35],"Multichannel":[36],"Wiener":[37],"filter":[38],"(MWF)":[39],"identified":[42],"provide":[44,121],"best":[46],"SNR":[47,137],"improvement":[48,138],"and":[49,71,111,129,139],"output":[50],"sound":[51,140],"quality.":[52,141],"The":[53,76,115],"real-time":[54],"these":[57],"MWF":[58,77],"techniques":[59],"involves":[60],"challenges":[62],"such":[63],"as":[64],"reduction":[65,122],"computational":[67,125],"complexity,":[68,126],"processing":[69,127],"delay,":[70,128],"transmission":[72,130],"bandwidth,":[73,131],"among":[74],"others.":[75],"methods":[78],"generally":[81],"derived":[82],"in":[83],"FFT":[85,95],"domain.":[86],"This":[87],"paper":[88],"explores":[89],"approach,":[92],"where":[93],"is":[96,118],"replaced":[97],"by":[98],"an":[99],"auditory":[100],"representation.":[101],"For":[102],"this":[103],"representation,":[104],"two":[105],"are":[107],"analyzed:":[108],"IIR":[109],"filter-banks":[110],"wavelet":[112],"packets":[113],"(WP).":[114],"WP":[116],"representation":[117],"shown":[119],"without":[132],"degrading":[133],"performance":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
