{"id":"https://openalex.org/W2536382514","doi":"https://doi.org/10.1109/iwaenc.2016.7602953","title":"Relative impulse response estimation during doubletalk with an artificial neural network-based step size control","display_name":"Relative impulse response estimation during doubletalk with an artificial neural network-based step size control","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2536382514","doi":"https://doi.org/10.1109/iwaenc.2016.7602953","mag":"2536382514"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc.2016.7602953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","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/A5073062793","display_name":"Stefan Meier","orcid":"https://orcid.org/0000-0002-9888-2042"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Stefan Meier","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)","institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210121626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068787682","display_name":"Walter Kellermann","orcid":"https://orcid.org/0000-0002-6501-3174"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Walter Kellermann","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)","institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210121626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073062793"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210121626"],"apc_list":null,"apc_paid":null,"fwci":0.6079,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69801671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"65","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":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"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/microphone","display_name":"Microphone","score":0.8122420310974121},{"id":"https://openalex.org/keywords/loudspeaker","display_name":"Loudspeaker","score":0.7681615352630615},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.6159019470214844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147472858428955},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6072433590888977},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.5161972641944885},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4974530041217804},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4877780079841614},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.4766436517238617},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42036837339401245},{"id":"https://openalex.org/keywords/active-noise-control","display_name":"Active noise control","score":0.4141785800457001},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4053676128387451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32158130407333374},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.2990686297416687},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2514916658401489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.247702956199646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19759804010391235},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.17745131254196167},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1444014012813568}],"concepts":[{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.8122420310974121},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.7681615352630615},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.6159019470214844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147472858428955},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6072433590888977},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.5161972641944885},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4974530041217804},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4877780079841614},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.4766436517238617},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42036837339401245},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.4141785800457001},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4053676128387451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32158130407333374},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.2990686297416687},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2514916658401489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.247702956199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19759804010391235},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.17745131254196167},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1444014012813568},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/iwaenc.2016.7602953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W98858238","https://openalex.org/W1492221128","https://openalex.org/W1535810436","https://openalex.org/W1572764117","https://openalex.org/W1999542175","https://openalex.org/W2043467869","https://openalex.org/W2045043668","https://openalex.org/W2144174236","https://openalex.org/W2147665979","https://openalex.org/W2153440882","https://openalex.org/W2169483529","https://openalex.org/W2181253919","https://openalex.org/W2242266779","https://openalex.org/W2291372403","https://openalex.org/W2396495723","https://openalex.org/W2400700908","https://openalex.org/W2510670092","https://openalex.org/W4285719527","https://openalex.org/W6604026065","https://openalex.org/W6632223199","https://openalex.org/W6690298669","https://openalex.org/W6712515972","https://openalex.org/W6712972666","https://openalex.org/W6725548800"],"related_works":["https://openalex.org/W2738771020","https://openalex.org/W1607021895","https://openalex.org/W2733029664","https://openalex.org/W2801062816","https://openalex.org/W3014719248","https://openalex.org/W2114074729","https://openalex.org/W4292228113","https://openalex.org/W2013090399","https://openalex.org/W2336891797","https://openalex.org/W2183004758"],"abstract_inverted_index":{"The":[0],"Normalized":[1],"Least-Mean":[2],"Squares":[3],"(NLMS)":[4],"algorithm":[5,79],"is":[6,80,116,128,149,154],"a":[7,46,53,111,124],"widely":[8],"used":[9,81],"method":[10],"for":[11,16,82],"linear":[12],"system":[13,71,100],"identification":[14],"(e.g.,":[15],"Acoustic":[17],"Echo":[18],"Cancellation":[19],"(AEC),":[20],"where":[21],"the":[22,64,70,77,90,94,98,121,131,146],"acoustic":[23],"path":[24],"between":[25],"loudspeaker":[26],"and":[27,93,110,151],"microphone":[28,74,108],"needs":[29],"to":[30,51],"be":[31,136],"estimated).":[32],"As":[33],"soon":[34],"as":[35],"interferers":[36],"or":[37],"background":[38],"noise":[39,68],"are":[40,101,107],"active,":[41],"step":[42,59,113,126,133,147],"size":[43,60,114,127,134,148],"control":[44,61,115],"becomes":[45],"crucial":[47],"task":[48],"in":[49],"order":[50],"ensure":[52],"fast":[54],"but":[55],"stable":[56],"adaptation.":[57],"Conventional":[58],"methods":[62],"address":[63],"case":[65],"of":[66,97,105,123,145],"additive":[67],"contaminating":[69],"output,":[72],"i.e.,":[73],"signal.":[75],"When":[76],"NLMS":[78],"Relative":[83],"Impulse":[84],"Response":[85],"(RIR)":[86],"estimation,":[87],"however,":[88],"both":[89,104],"input":[91],"signal":[92,96],"output":[95],"unknown":[99],"noisy":[102],"(since":[103],"them":[106],"signals)":[109],"different":[112],"required.":[117],"In":[118],"this":[119],"paper,":[120],"derivation":[122],"new":[125],"presented.":[129],"Since":[130],"resulting":[132],"cannot":[135],"determined":[137],"directly,":[138],"an":[139],"Artificial":[140],"Neural":[141],"Network":[142],"(ANN)-based":[143],"estimation":[144],"proposed":[150],"its":[152],"effectiveness":[153],"demonstrated.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}