{"id":"https://openalex.org/W4386932139","doi":"https://doi.org/10.1186/s13636-023-00296-5","title":"Cascade algorithms for combined acoustic feedback cancelation and noise reduction","display_name":"Cascade algorithms for combined acoustic feedback cancelation and noise reduction","publication_year":2023,"publication_date":"2023-09-21","ids":{"openalex":"https://openalex.org/W4386932139","doi":"https://doi.org/10.1186/s13636-023-00296-5"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-023-00296-5","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00296-5","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00296-5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061628951","display_name":"Santiago Ruiz","orcid":"https://orcid.org/0000-0003-4540-6533"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Santiago Ruiz","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073284331","display_name":"Toon van Waterschoot","orcid":"https://orcid.org/0000-0002-6323-7350"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Toon van\u00a0Waterschoot","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051849103","display_name":"Marc Moonen","orcid":"https://orcid.org/0000-0003-4461-0073"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marc Moonen","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061628951"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":{"value":1115,"currency":"GBP","value_usd":1367,"provenance":"doaj"},"apc_paid":{"value":1115,"currency":"GBP","value_usd":1367,"provenance":"doaj"},"fwci":0.431,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":1,"citation_normalized_percentile":{"value":0.482714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":78},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9999,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.998,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7911038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5478964},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.46025574},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43006974},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35432246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29308745},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.141664},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-023-00296-5","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00296-5","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-023-00296-5","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00296-5","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321390","funder_display_name":"Fonds De La Recherche Scientifique - FNRS","award_id":"EOS Project no 30452698 \u2019(MUSE-WINET) MUlti-SErvice WIreless NETwork"},{"funder":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek","award_id":"EOS Project no 30452698 \u2019(MUSE-WINET) MUlti-SErvice WIreless NETwork"},{"funder":"https://openalex.org/F4320322681","funder_display_name":"Onderzoeksraad, KU Leuven","award_id":"C3-19-00221 \u201cCooperative Signal Processing Solutions for IoT-based Multi-User Speech Communication Systems\u201d"},{"funder":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council","award_id":"ERC Consolidator Grant: SONORA (no. 773268)"}],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1654142233","https://openalex.org/W168718579","https://openalex.org/W172871796","https://openalex.org/W1977144816","https://openalex.org/W1985733463","https://openalex.org/W2016100027","https://openalex.org/W2034158600","https://openalex.org/W2036512040","https://openalex.org/W2050551142","https://openalex.org/W2051428568","https://openalex.org/W2052351312","https://openalex.org/W2067295501","https://openalex.org/W2087187105","https://openalex.org/W2092640790","https://openalex.org/W2095933505","https://openalex.org/W2138196899","https://openalex.org/W2148024641","https://openalex.org/W2166863967","https://openalex.org/W2178732099","https://openalex.org/W2563346237","https://openalex.org/W2745111039","https://openalex.org/W2790315101","https://openalex.org/W2911058322","https://openalex.org/W2962866211","https://openalex.org/W2997145110","https://openalex.org/W4205913604","https://openalex.org/W4224934173","https://openalex.org/W4367050859"],"related_works":["https://openalex.org/W4319436504","https://openalex.org/W2778699561","https://openalex.org/W2386767533","https://openalex.org/W2368779261","https://openalex.org/W2363227041","https://openalex.org/W2355125052","https://openalex.org/W2109741242","https://openalex.org/W2088270034","https://openalex.org/W2020163257","https://openalex.org/W2015574505"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"three":[4],"cascade":[5,72,106,214,239,315,334,344],"algorithms":[6,240,294,341],"for":[7,33,45,307],"combined":[8],"acoustic":[9],"feedback":[10,26,253,284],"cancelation":[11,27],"(AFC)":[12],"and":[13,54,77,121,177,218,246,282,330,332,338,349,360,384],"noise":[14],"reduction":[15],"(NR)":[16],"in":[17,159,172,178,203,238,352,366],"speech":[18,170,186,274,381],"applications.":[19],"A":[20,49],"prediction":[21],"error":[22],"method":[23],"(PEM)-based":[24],"adaptive":[25],"(PEM-based":[28],"AFC)":[29],"algorithm":[30,65,103,141,211,351],"is":[31,43,57,66,83,104,128,142,212,227,243,255,263,295,304],"used":[32,202],"the":[34,46,67,71,105,160,169,173,179,185,213,249,252,259,273,283,293,308,314,333,343,355,373],"AFC":[35,94,99,135,207,225,248],"stage,":[36,261],"while":[37],"a":[38,80,87,92,97,125,133,204,269],"multichannel":[39],"Wiener":[40],"filter":[41],"(MWF)":[42],"applied":[44,129],"NR":[47,81,126,235,242,260],"stage.":[48,136,208,236],"scenario":[50],"with":[51,163],"M":[52,73,215,223,233,335,345],"microphones":[53],"1":[55],"loudspeaker":[56,180],"considered,":[58],"without":[59],"loss":[60],"of":[61,139,251,272,292,299,354,368,380],"generality.":[62],"The":[63,101,137,195,209,290],"first":[64,85,130,229,245],"baseline":[68],"algorithm,":[69],"namely":[70],"-channel":[74,118,216,224,234,327,336,346],"rank-1":[75,88,219,339,347],"MWF":[76,89,120,161,220,329,340,348],"PEM-AFC,":[78,122],"where":[79,123,221,241,302],"stage":[82,95,127,226],"performed":[84,228,244],"using":[86,96],"followed":[90,131,230],"by":[91,132,184,231,258,267,297],"single-channel":[93,134,205],"PEM-based":[98,206],"algorithm.":[100],"second":[102],"$$(M+1)$$":[107,316],"":[109,149,318],"":[110,150,319],"(":[111,320],"M":[112,151,321],"+":[113,152,322],"1":[114,153,323],")":[115,324],"":[116,154,325],"":[117,155,326],"rank-2":[119,270,328],"again":[124],"novelty":[138],"this":[140,277],"to":[143,192],"consider":[144],"an":[145,222,232],"(":[146],"$$M+1$$":[147],")-channel":[156],"data":[157],"model":[158],"formulation":[162],"two":[164,196],"different":[165],"desired":[166,197],"signals,":[167],"i.e.,":[168],"component":[171],"reference":[174],"microphone":[175],"signal":[176,188,198,385],"signal,":[181],"both":[182],"defined":[183],"source":[187],"but":[189],"not":[190],"equal":[191],"each":[193],"other.":[194],"estimates":[199],"are":[200],"later":[201],"third":[210],"PEM-AFC":[217,331,337,350],"Although":[237],"then":[247],"estimation":[250],"path":[254,285],"usually":[256],"affected":[257],"it":[262,303],"shown":[264,305],"here":[265],"that":[266,306],"performing":[268],"approximation":[271],"correlation":[275],"matrix":[276],"issue":[278],"can":[279,286],"be":[280,287],"avoided":[281],"correctly":[288],"estimated.":[289],"performance":[291],"assessed":[296],"means":[298],"closed-loop":[300],"simulations":[301],"considered":[309],"input":[310],"signal-to-noise":[311],"ratios":[312],"(iSNRs)":[313],"outperform":[342],"terms":[353,367],"added":[356],"stable":[357],"gain":[358],"(ASG)":[359],"misadjustment":[361],"(Mis)":[362],"as":[363,365,372],"well":[364],"perceptual":[369,378],"metrics":[370],"such":[371],"short-time":[374],"objective":[375],"intelligibility":[376],"(STOI),":[377],"evaluation":[379],"quality":[382],"(PESQ),":[383],"distortion":[386],"(SD).":[387]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4386932139","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-21T13:36:05.719512","created_date":"2023-09-22"}