{"id":"https://openalex.org/W2606609783","doi":"https://doi.org/10.1109/hscma.2017.7895573","title":"EVD-based multi-channel dereverberation of a moving speaker using different RETF estimation methods","display_name":"EVD-based multi-channel dereverberation of a moving speaker using different RETF estimation methods","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2606609783","doi":"https://doi.org/10.1109/hscma.2017.7895573","mag":"2606609783"},"language":"en","primary_location":{"id":"doi:10.1109/hscma.2017.7895573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hscma.2017.7895573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Hands-free Speech Communications and Microphone Arrays (HSCMA)","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/A5061058558","display_name":"Ina Kodrasi","orcid":"https://orcid.org/0000-0002-1747-1322"},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ina Kodrasi","raw_affiliation_strings":["Department of Medical Physics and Acoustics, University of Oldenburg, Oldenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics and Acoustics, University of Oldenburg, Oldenburg, Germany","institution_ids":["https://openalex.org/I129877168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062526199","display_name":"Simon Doclo","orcid":"https://orcid.org/0000-0002-3392-2381"},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Doclo","raw_affiliation_strings":["Department of Medical Physics and Acoustics, University of Oldenburg, Oldenburg, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Medical Physics and Acoustics, University of Oldenburg, Oldenburg, Germany","institution_ids":["https://openalex.org/I129877168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061058558"],"corresponding_institution_ids":["https://openalex.org/I129877168"],"apc_list":null,"apc_paid":null,"fwci":1.2945,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80963224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"120"},"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":0.9991999864578247,"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/estimator","display_name":"Estimator","score":0.785382866859436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281915903091431},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5730699896812439},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5062453150749207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43544289469718933},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.42265310883522034},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39718878269195557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33321839570999146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21341562271118164},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09382405877113342}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.785382866859436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281915903091431},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5730699896812439},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5062453150749207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43544289469718933},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.42265310883522034},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39718878269195557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33321839570999146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21341562271118164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09382405877113342},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hscma.2017.7895573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hscma.2017.7895573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Hands-free Speech Communications and Microphone Arrays (HSCMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1494906930","https://openalex.org/W1503775994","https://openalex.org/W1546892833","https://openalex.org/W1931312565","https://openalex.org/W1932294352","https://openalex.org/W1973669708","https://openalex.org/W1976805820","https://openalex.org/W1981529844","https://openalex.org/W1996304098","https://openalex.org/W2058986241","https://openalex.org/W2077090930","https://openalex.org/W2115969105","https://openalex.org/W2121973264","https://openalex.org/W2127292597","https://openalex.org/W2144404214","https://openalex.org/W2155638623","https://openalex.org/W2166547995","https://openalex.org/W2173095769","https://openalex.org/W2188374466","https://openalex.org/W2289930755","https://openalex.org/W2394726176","https://openalex.org/W2400112243","https://openalex.org/W2675614895","https://openalex.org/W3124056356","https://openalex.org/W3127686677","https://openalex.org/W6629547277","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W2363395155","https://openalex.org/W2353350167","https://openalex.org/W2375659797","https://openalex.org/W4287880334","https://openalex.org/W2131048104","https://openalex.org/W2614382458","https://openalex.org/W4366700029","https://openalex.org/W1529631489","https://openalex.org/W4285230481","https://openalex.org/W2370626047"],"abstract_inverted_index":{"The":[0,151],"multi-channel":[1],"Wiener":[2],"filter":[3],"(MWF)":[4],"for":[5,120,169],"dereverberation":[6],"relies":[7],"on":[8,73],"estimating":[9],"the":[10,18,25,46,84,88,96,100,103,131,143,154,157,161,188,194,206,214,221,226],"late":[11,37,68],"reverberant":[12,38,58,69],"power":[13],"spectral":[14],"density":[15],"(PSD)":[16],"and":[17,59,148,160,172,179,209],"relative":[19],"early":[20],"transfer":[21],"functions":[22],"(RETFs)":[23],"of":[24,45,83,90,102,153,193],"target":[26],"signal":[27],"from":[28],"a":[29,65,121,170,173,200],"reference":[30],"microphone":[31],"to":[32,52],"all":[33],"microphones.":[34],"State-of-the-art":[35],"multichannel":[36],"PSD":[39,70,97],"estimators":[40],"also":[41],"require":[42,81],"an":[43,74,113],"estimate":[44,53],"RETFs,":[47,85],"which":[48,78],"may":[49],"be":[50],"difficult":[51],"accurately,":[54],"particularly":[55],"in":[56,112,125,176,203,213,218,225],"highly":[57],"noisy":[60,180,219],"scenarios.":[61,127,181],"Recently":[62],"we":[63],"proposed":[64,104],"more":[66],"advantageous":[67],"estimator":[71,106,133,159,190],"based":[72],"eigenvalue":[75],"decomposition":[76],"(EVD)":[77],"does":[79],"not":[80],"knowledge":[82],"thereby":[86],"avoiding":[87],"propagation":[89],"any":[91,192],"RETF":[92,117,139,163,196],"estimation":[93,118,140,164,197],"errors":[94,119],"into":[95],"estimate.":[98],"However,":[99],"performance":[101,152],"EVD-based":[105,132,158,189],"was":[107],"analyzed":[108],"by":[109],"using":[110,156],"it":[111],"MWF":[114,155],"with":[115,136,191],"simulated":[116],"fixed":[122,171],"speaker":[123,175],"position":[124],"noiseless":[126,178,204],"In":[128],"this":[129],"paper":[130],"is":[134,166],"combined":[135],"several":[137],"practical":[138],"methods,":[141],"i.e.,":[142],"covariance":[144,146,207],"whitening,":[145],"subtraction,":[147],"least-squares":[149,222],"methods.":[150],"considered":[162,195],"methods":[165,198,211],"then":[167],"investigated":[168],"moving":[174],"different":[177],"Experimental":[182],"results":[183,224],"show":[184],"that":[185],"while":[186],"combining":[187],"yields":[199],"high":[201],"performance,":[202,216],"scenarios":[205,220],"whitening":[208],"subtraction":[210],"result":[212],"best":[215,227],"whereas":[217],"method":[223],"performance.":[228]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
