{"id":"https://openalex.org/W4399800641","doi":"https://doi.org/10.1109/taslp.2024.3416668","title":"Multi-Channel to Multi-Channel Noise Reduction and Reverberant Speech Preservation in Time-Varying Acoustic Scenes for Binaural Reproduction","display_name":"Multi-Channel to Multi-Channel Noise Reduction and Reverberant Speech Preservation in Time-Varying Acoustic Scenes for Binaural Reproduction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399800641","doi":"https://doi.org/10.1109/taslp.2024.3416668"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2024.3416668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3416668","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5053524690","display_name":"Moti Lugasi","orcid":"https://orcid.org/0000-0003-4701-6459"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Moti Lugasi","raw_affiliation_strings":["School of Electrical, Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055065049","display_name":"Jacob Donley","orcid":"https://orcid.org/0000-0002-8401-798X"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Donley","raw_affiliation_strings":["Reality Labs Research, Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042577114","display_name":"Anjali Menon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anjali Menon","raw_affiliation_strings":["Reality Labs Research, Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026575041","display_name":"Vladimir Tourbabin","orcid":"https://orcid.org/0000-0003-2536-5666"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Tourbabin","raw_affiliation_strings":["Reality Labs Research, Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019518606","display_name":"Boaz Rafaely","orcid":"https://orcid.org/0000-0002-6819-9250"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Boaz Rafaely","raw_affiliation_strings":["School of Electrical, Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053524690"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":1.0513,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74948273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"32","issue":null,"first_page":"3283","last_page":"3295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.991100013256073,"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":0.991100013256073,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/binaural-recording","display_name":"Binaural recording","score":0.7166432738304138},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6113643050193787},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.564212441444397},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.543015718460083},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5395395755767822},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5041018724441528},{"id":"https://openalex.org/keywords/reproduction","display_name":"Reproduction","score":0.5038291811943054},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.49127668142318726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.476199746131897},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47051802277565},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19130390882492065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1443178951740265},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1365983784198761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10469406843185425},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10236051678657532}],"concepts":[{"id":"https://openalex.org/C201247586","wikidata":"https://www.wikidata.org/wiki/Q5612967","display_name":"Binaural recording","level":2,"score":0.7166432738304138},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6113643050193787},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.564212441444397},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.543015718460083},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5395395755767822},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5041018724441528},{"id":"https://openalex.org/C59659247","wikidata":"https://www.wikidata.org/wiki/Q11990","display_name":"Reproduction","level":2,"score":0.5038291811943054},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.49127668142318726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.476199746131897},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47051802277565},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19130390882492065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1443178951740265},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1365983784198761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10469406843185425},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10236051678657532},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2024.3416668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2024.3416668","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1516457120","https://openalex.org/W1536891161","https://openalex.org/W1552314771","https://openalex.org/W1576557446","https://openalex.org/W1614886494","https://openalex.org/W1635512741","https://openalex.org/W1970978756","https://openalex.org/W2004285979","https://openalex.org/W2006155012","https://openalex.org/W2020637929","https://openalex.org/W2032130503","https://openalex.org/W2046916143","https://openalex.org/W2050551142","https://openalex.org/W2050875687","https://openalex.org/W2058079016","https://openalex.org/W2086461524","https://openalex.org/W2088400943","https://openalex.org/W2117678320","https://openalex.org/W2119026811","https://openalex.org/W2121767183","https://openalex.org/W2125697172","https://openalex.org/W2136005069","https://openalex.org/W2141998673","https://openalex.org/W2143027228","https://openalex.org/W2146673011","https://openalex.org/W2148024641","https://openalex.org/W2156676906","https://openalex.org/W2159310722","https://openalex.org/W2168729028","https://openalex.org/W2282750148","https://openalex.org/W2289898380","https://openalex.org/W2400294313","https://openalex.org/W2494085323","https://openalex.org/W2533598077","https://openalex.org/W2568308529","https://openalex.org/W2579722767","https://openalex.org/W2891133971","https://openalex.org/W2899838214","https://openalex.org/W2923728956","https://openalex.org/W2938751282","https://openalex.org/W2972541922","https://openalex.org/W3030781580","https://openalex.org/W3121132363","https://openalex.org/W3179026300","https://openalex.org/W4210408276","https://openalex.org/W4224934174","https://openalex.org/W4233756102","https://openalex.org/W4285294643","https://openalex.org/W4286582029","https://openalex.org/W4316660723","https://openalex.org/W6675378272","https://openalex.org/W6677570743","https://openalex.org/W6781747686","https://openalex.org/W6782501926","https://openalex.org/W6797761920"],"related_works":["https://openalex.org/W2766995619","https://openalex.org/W1656519308","https://openalex.org/W4224270619","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W2037265366","https://openalex.org/W2026603686","https://openalex.org/W2331622705","https://openalex.org/W2391832549","https://openalex.org/W1982169876"],"abstract_inverted_index":{"Real-life":[0],"acoustic":[1,67,130,164],"scenes":[2,68,131],"may":[3,31,104],"be":[4],"recorded":[5,75],"with":[6,58,89,142],"microphone":[7],"arrays":[8],"for":[9,14,21],"spatial":[10,171,197],"audio":[11],"applications,":[12],"especially":[13],"the":[15,25,36,41,54,74,82,96,108,133,158,167,170],"purpose":[16],"of":[17,27,110,160,169,184],"reproducing":[18],"binaural":[19],"signals":[20,76],"headphone":[22],"listening.":[23],"However,":[24],"presence":[26,109],"noise":[28,51],"and":[29,39,94,140,157,163,187],"interference":[30],"necessitate":[32],"preprocessing":[33],"to":[34,49],"enhance":[35],"desired":[37,55,151],"signal":[38,56],"improve":[40],"listener":[42,189],"experience.":[43],"Various":[44],"methods":[45],"have":[46],"been":[47],"developed":[48],"reduce":[50],"while":[52],"preserving":[53],"component":[57],"minimal":[59],"distortion.":[60],"The":[61,145],"additional":[62],"challenges":[63],"posed":[64],"by":[65,72],"time-varying":[66,129],"are":[69,121,191],"commonly":[70],"addressed":[71],"segmenting":[73],"into":[77],"short":[78,115],"time":[79],"frames.":[80],"Then,":[81],"short-time":[83],"Fourier":[84],"transform":[85],"(STFT)":[86],"is":[87,136,174,177],"employed":[88],"multi-channel":[90],"Wiener":[91],"filter":[92],"(MWF)":[93],"assuming":[95],"multiplicative":[97],"transfer":[98],"function":[99],"(MTF)":[100],"approximation.":[101],"This":[102,123],"approximation":[103,135],"not":[105],"apply":[106],"in":[107,128,153,182],"long":[111],"reverberation":[112],"times":[113],"and/or":[114],"STFT":[116],"frames,":[117],"so":[118],"alternative":[119],"techniques":[120],"required.":[122],"paper":[124],"explores":[125],"MWF-based":[126],"enhancement":[127],"where":[132],"MTF":[134],"inapplicable,":[137],"both":[138],"analytically":[139],"experimentally":[141],"normal-hearing":[143],"listeners.":[144],"investigated":[146],"scene":[147],"comprises":[148],"a":[149,154,195],"single":[150],"source":[152],"reverberant":[155],"environment,":[156],"impact":[159],"frame":[161],"length":[162],"parameters":[165],"on":[166],"rank":[168],"covariance":[172,198],"matrix":[173],"studied.":[175],"It":[176],"revealed":[178],"that":[179],"superior":[180],"results":[181],"terms":[183],"reduced":[185],"distortion":[186],"improved":[188],"experience":[190],"achieved":[192],"when":[193],"using":[194],"full-rank":[196],"matrix.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
