{"id":"https://openalex.org/W2578531100","doi":"https://doi.org/10.1109/apccas.2016.7803885","title":"Binaural-cue-based noise reduction using multirate quasi-ANSI filter bank for hearing aids","display_name":"Binaural-cue-based noise reduction using multirate quasi-ANSI filter bank for hearing aids","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2578531100","doi":"https://doi.org/10.1109/apccas.2016.7803885","mag":"2578531100"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2016.7803885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2016.7803885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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/A5080884436","display_name":"Tang Huei-Shiuan","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Huei-Shiuan Tang","raw_affiliation_strings":["Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000631167","display_name":"Cheng-Yen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yen Yang","raw_affiliation_strings":["Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113313354","display_name":"Chih Wei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih Wei Liu","raw_affiliation_strings":["Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034739268","display_name":"Chien Chia-Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Cheng Chien","raw_affiliation_strings":["Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, R.O.C","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080884436"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.5179,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67558671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/binaural-recording","display_name":"Binaural recording","score":0.8158161640167236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.58021080493927},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5735482573509216},{"id":"https://openalex.org/keywords/interaural-time-difference","display_name":"Interaural time difference","score":0.5701663494110107},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4894760847091675},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4741056561470032},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4113815128803253},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.38844266533851624},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.38201379776000977},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3327038884162903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2264886200428009},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1464640498161316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10415425896644592},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08045241236686707}],"concepts":[{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.8158161640167236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58021080493927},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5735482573509216},{"id":"https://openalex.org/C103364767","wikidata":"https://www.wikidata.org/wiki/Q1807562","display_name":"Interaural time difference","level":3,"score":0.5701663494110107},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4894760847091675},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4741056561470032},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4113815128803253},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.38844266533851624},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.38201379776000977},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3327038884162903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2264886200428009},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1464640498161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10415425896644592},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08045241236686707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas.2016.7803885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2016.7803885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5099999904632568,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1495679096","https://openalex.org/W1965227178","https://openalex.org/W1966659169","https://openalex.org/W1974387177","https://openalex.org/W2051584996","https://openalex.org/W2106325442","https://openalex.org/W2131030892","https://openalex.org/W2148014790","https://openalex.org/W2149447040","https://openalex.org/W2168705554","https://openalex.org/W2169147844","https://openalex.org/W2241211221","https://openalex.org/W6629589734","https://openalex.org/W6676076978"],"related_works":["https://openalex.org/W4389240440","https://openalex.org/W2060534021","https://openalex.org/W4383197910","https://openalex.org/W2530097559","https://openalex.org/W2025500868","https://openalex.org/W4221151007","https://openalex.org/W2790330717","https://openalex.org/W2952389570","https://openalex.org/W1571453037","https://openalex.org/W2345761142"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,39],"low-power":[4],"and":[5,26,42,83,97,164],"real-time":[6,181],"noise":[7,82],"reduction":[8],"(NR)":[9],"algorithm":[10,36,112,145],"using":[11],"18-band":[12],"1/3-octave":[13],"quasi-ANSI":[14],"filter":[15],"bank":[16],"for":[17,138,180,194],"binaural":[18,24,110,143,195],"hearing":[19,139,196],"aids.":[20,140,197],"With":[21],"aids":[22],"of":[23,38,62,116],"cues":[25],"minima":[27],"controlled":[28],"recursive":[29],"average":[30,115],"(MCRA)":[31],"approach,":[32],"the":[33,50,57,68,72,80,84,89,92,103,108,123,134],"proposed":[34,109,142],"NR":[35,111,136,144],"consists":[37],"directional":[40,47],"mask":[41,48,74],"an":[43,114],"estimated":[44,73],"mask.":[45],"The":[46,141,156,171,186],"exploits":[49],"interaural":[51,58],"time":[52],"difference":[53,60],"(ITD)":[54],"together":[55],"with":[56,91,133],"level":[59],"(ILD)":[61],"two":[63],"input":[64],"sources":[65],"to":[66,77],"attenuate":[67],"lateral":[69],"noise,":[70],"while":[71],"is":[75,129,159,190],"used":[76],"further":[78],"reduce":[79],"background":[81],"coherence":[85],"noise.":[86],"Investigated":[87],"by":[88,161,177],"circumstances":[90],"-3":[93],"dB,":[94,96,99],"0":[95],"3":[98],"respectively,":[100],"cocktail-party":[101],"effect,":[102],"simulation":[104],"results":[105],"show":[106],"that":[107,132],"gains":[113],"approximately":[117,166,191],"5.07":[118],"dB":[119],"SNR":[120],"improvement.":[121],"Moreover,":[122],"speech":[124],"intelligibility":[125],"index":[126],"(SII)":[127],"performance":[128],"superior,":[130],"comparing":[131],"state-of-the-art":[135],"algorithms":[137],"has":[146],"been":[147],"implemented":[148],"in":[149],"TSMC":[150],"90":[151],"nm":[152],"CMOS":[153],"high-VT":[154],"technology.":[155],"chip":[157,172],"design":[158,173],"operated":[160,176],"288":[162],"KHz":[163],"consumes":[165],"121.6":[167],"\u03bcW":[168,193],"(@1":[169],"V).":[170],"can":[174],"be":[175],"0.6":[178],"V":[179],"processing":[182],"24":[183],"kHz":[184],"audio.":[185],"simulated":[187],"power":[188],"consumption":[189],"64.52":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
