{"id":"https://openalex.org/W2789388800","doi":"https://doi.org/10.1109/taslp.2018.2811184","title":"Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density Estimation","display_name":"Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density Estimation","publication_year":2018,"publication_date":"2018-03-02","ids":{"openalex":"https://openalex.org/W2789388800","doi":"https://doi.org/10.1109/taslp.2018.2811184","mag":"2789388800"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2018.2811184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2811184","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":true,"oa_status":"green","oa_url":"http://publications.idiap.ch/downloads/papers/2018/Kodrasi_T-ASL_2018.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061058558","display_name":"Ina Kodrasi","orcid":"https://orcid.org/0000-0002-1747-1322"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ina Kodrasi","raw_affiliation_strings":["Carl von Ossietzky Universitat Oldenburg, Oldenburg, Niedersachsen, DE"],"affiliations":[{"raw_affiliation_string":"Carl von Ossietzky Universitat Oldenburg, Oldenburg, Niedersachsen, DE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062526199","display_name":"Simon Doclo","orcid":"https://orcid.org/0000-0002-3392-2381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon Doclo","raw_affiliation_strings":["Carl von Ossietzky Universitat Oldenburg, Oldenburg, Niedersachsen, DE"],"affiliations":[{"raw_affiliation_string":"Carl von Ossietzky Universitat Oldenburg, Oldenburg, Niedersachsen, DE","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061058558"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.312,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.89027382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"26","issue":"6","first_page":"1106","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":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":0.9987999796867371,"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":0.9983999729156494,"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/reverberation","display_name":"Reverberation","score":0.9463123083114624},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7929949760437012},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6272823214530945},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6110064387321472},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.5255136489868164},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5168709754943848},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4532334804534912},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4428546130657196},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.43191972374916077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40086066722869873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3929252028465271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3373265266418457},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27410900592803955},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20939910411834717}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.9463123083114624},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7929949760437012},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6272823214530945},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6110064387321472},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.5255136489868164},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5168709754943848},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4532334804534912},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4428546130657196},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.43191972374916077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40086066722869873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3929252028465271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3373265266418457},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27410900592803955},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20939910411834717},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taslp.2018.2811184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2018.2811184","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"},{"id":"pmh:oai:infoscience.epfl.ch:256291","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/256291","pdf_url":"http://publications.idiap.ch/downloads/papers/2018/Kodrasi_T-ASL_2018.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/256291","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:256291","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/256291","pdf_url":"http://publications.idiap.ch/downloads/papers/2018/Kodrasi_T-ASL_2018.pdf","source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/256291","raw_type":"Text"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2789388800.pdf","grobid_xml":"https://content.openalex.org/works/W2789388800.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W278097168","https://openalex.org/W1494906930","https://openalex.org/W1512562331","https://openalex.org/W1546892833","https://openalex.org/W1603978816","https://openalex.org/W1820182450","https://openalex.org/W1932294352","https://openalex.org/W1973669708","https://openalex.org/W1981529844","https://openalex.org/W1983812858","https://openalex.org/W1994851389","https://openalex.org/W2000032296","https://openalex.org/W2008335297","https://openalex.org/W2021525189","https://openalex.org/W2026791396","https://openalex.org/W2040782121","https://openalex.org/W2040992166","https://openalex.org/W2045043668","https://openalex.org/W2058986241","https://openalex.org/W2067295501","https://openalex.org/W2075577372","https://openalex.org/W2077090930","https://openalex.org/W2089586791","https://openalex.org/W2096819401","https://openalex.org/W2107865707","https://openalex.org/W2121973264","https://openalex.org/W2133515443","https://openalex.org/W2136172079","https://openalex.org/W2144404214","https://openalex.org/W2159158911","https://openalex.org/W2161784349","https://openalex.org/W2164502538","https://openalex.org/W2172491908","https://openalex.org/W2173095769","https://openalex.org/W2188162373","https://openalex.org/W2188374466","https://openalex.org/W2242685705","https://openalex.org/W2286474545","https://openalex.org/W2289930755","https://openalex.org/W2394726176","https://openalex.org/W2400112243","https://openalex.org/W2407680366","https://openalex.org/W2526039009","https://openalex.org/W2534419903","https://openalex.org/W2567647467","https://openalex.org/W2585090016","https://openalex.org/W2591416320","https://openalex.org/W2606609783","https://openalex.org/W2609530373","https://openalex.org/W2675614895","https://openalex.org/W2798909945","https://openalex.org/W2911394281","https://openalex.org/W3147539069","https://openalex.org/W4296927107","https://openalex.org/W6610036151","https://openalex.org/W6629547277","https://openalex.org/W6630574771","https://openalex.org/W6686978693","https://openalex.org/W6728014692","https://openalex.org/W7027453933"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2037265366","https://openalex.org/W2022849831","https://openalex.org/W2391832549","https://openalex.org/W1499578372","https://openalex.org/W2286653370","https://openalex.org/W2368849850","https://openalex.org/W2073029898","https://openalex.org/W2470850800"],"abstract_inverted_index":{"Many":[0],"speech":[1,59,64,75,168,206],"dereverberation":[2],"techniques":[3],"require":[4,118],"an":[5,28,54,107,119],"estimate":[6,29,55,95,120,212,228,256],"of":[7,30,36,48,56,121,160,199,277],"the":[8,20,31,37,44,49,57,69,74,89,122,161,171,174,182,200,209,219,225,234,253,263,275,279,294],"late":[9,21,50,111,184,221,236],"reverberation":[10,22,112,185,222,237],"power":[11],"spectral":[12],"density":[13],"(PSD).":[14],"State-of-the-art":[15],"multichannel":[16,285],"methods":[17],"for":[18,43,157,193,269],"estimating":[19],"PSD":[23,65,76,113,129,151,169,176,207,211,227,255,265,281,296],"typically":[24],"rely":[25],"on":[26],"first,":[27],"relative":[32],"transfer":[33],"functions":[34],"(RTFs)":[35],"target":[38],"signal;":[39],"second,":[40],"a":[41,145,284,289],"model":[42],"spatial":[45,70,163,201],"coherence":[46,71,164,202],"matrix":[47,77,203],"reverberation;":[51],"and":[52,62,73,83,101,134,138,166,173,204,246],"finally,":[53],"reverberant":[58,61,100,167,205],"or":[60,216,260],"noisy":[63,102],"matrix.":[66],"The":[67],"RTFs,":[68,162],"matrix,":[72,165,170,208],"are":[78,141,178],"all":[79,251],"prone":[80],"to":[81,94,144,181,218,233,262],"modeling":[82,245],"estimation":[84,136,247],"errors":[85,248],"in":[86,98,250,283],"practice,":[87],"with":[88],"RTFs":[90,195],"being":[91],"particularly":[92],"difficult":[93],"accurately,":[96],"especially":[97],"highly":[99],"scenarios.":[103],"Recently,":[104],"we":[105],"proposed":[106],"eigenvalue":[108],"decomposition":[109],"(EVD)-based":[110],"estimator,":[114],"which":[115],"does":[116],"not":[117],"RTFs.":[123],"In":[124,187],"this":[125,127],"paper,":[126],"EVD-based":[128,175,226,264,280],"estimator":[130,282],"is":[131,154,190,213,229,241,257],"further":[132],"analyzed":[133],"its":[135],"accuracy":[137],"computational":[139],"complexity":[140],"analytically":[142],"compared":[143],"state-of-the-art":[146],"maximum":[147],"likelihood":[148],"(ML)":[149],"based":[150],"estimator.":[152,297],"It":[153],"shown":[155,191,242],"that":[156,192,243],"perfect":[158,197],"knowledge":[159,198],"ML-based":[172,210,254,295],"estimates":[177],"both":[179],"equal":[180,217,232,261],"true":[183,220,235],"PSD.":[186,238],"addition,":[188],"it":[189,240],"erroneous":[194],"but":[196],"larger":[214,258],"than":[215,259,293],"PSD,":[223],"whereas":[224],"obviously":[230],"still":[231],"Finally,":[239],"when":[244],"occur":[249],"quantities,":[252],"estimate.":[266],"Simulation":[267],"results":[268],"several":[270],"realistic":[271],"acoustic":[272],"scenarios":[273],"demonstrate":[274],"advantages":[276],"using":[278],"Wiener":[286],"filter,":[287],"yielding":[288],"significantly":[290],"better":[291],"performance":[292]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}