{"id":"https://openalex.org/W4200043538","doi":"https://doi.org/10.1109/waspaa52581.2021.9632792","title":"Stochastic Reverberation Model with a Frequency Dependent Attenuation","display_name":"Stochastic Reverberation Model with a Frequency Dependent Attenuation","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4200043538","doi":"https://doi.org/10.1109/waspaa52581.2021.9632792"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa52581.2021.9632792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},"type":"preprint","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/A5077132192","display_name":"Achille Aknin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Achille Aknin","raw_affiliation_strings":["LTCI, T&#x00E9;l&#x00E9;com Paris, Institut Polytechnique de Paris,Palaiseau,France"],"affiliations":[{"raw_affiliation_string":"LTCI, T&#x00E9;l&#x00E9;com Paris, Institut Polytechnique de Paris,Palaiseau,France","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028865449","display_name":"Roland Badeau","orcid":"https://orcid.org/0000-0002-9630-6877"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Roland Badeau","raw_affiliation_strings":["LTCI, T&#x00E9;l&#x00E9;com Paris, Institut Polytechnique de Paris,Palaiseau,France"],"affiliations":[{"raw_affiliation_string":"LTCI, T&#x00E9;l&#x00E9;com Paris, Institut Polytechnique de Paris,Palaiseau,France","institution_ids":["https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077132192"],"corresponding_institution_ids":["https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.14397953,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47441516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"351","last_page":"355"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.998199999332428,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9975000023841858,"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":0.8488349318504333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7381947636604309},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.6592082977294922},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.6498696804046631},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5953376889228821},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5348303318023682},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4922005236148834},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4822255074977875},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4780733585357666},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.47682517766952515},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.45418843626976013},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4265371263027191},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41062474250793457},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3862835764884949},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2694256603717804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20781901478767395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14071255922317505},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12734153866767883},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1261381208896637},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08440884947776794},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08370482921600342}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.8488349318504333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7381947636604309},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.6592082977294922},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6498696804046631},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5953376889228821},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5348303318023682},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4922005236148834},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4822255074977875},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4780733585357666},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.47682517766952515},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.45418843626976013},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4265371263027191},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41062474250793457},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3862835764884949},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2694256603717804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20781901478767395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14071255922317505},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12734153866767883},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1261381208896637},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08440884947776794},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08370482921600342},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa52581.2021.9632792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa52581.2021.9632792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6399999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W190060899","https://openalex.org/W612879516","https://openalex.org/W1571477232","https://openalex.org/W2005228249","https://openalex.org/W2021421911","https://openalex.org/W2049633694","https://openalex.org/W2062490119","https://openalex.org/W2072427944","https://openalex.org/W2113990625","https://openalex.org/W2143027228","https://openalex.org/W2168273590","https://openalex.org/W2552179538","https://openalex.org/W2792400747","https://openalex.org/W2902445581","https://openalex.org/W2936785444","https://openalex.org/W3033736971","https://openalex.org/W4287670651","https://openalex.org/W6634367950","https://openalex.org/W6840713029"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W2037265366","https://openalex.org/W2987432963","https://openalex.org/W2053167664","https://openalex.org/W2780118011","https://openalex.org/W2079152323","https://openalex.org/W2128388559","https://openalex.org/W2177418697"],"abstract_inverted_index":{"In":[0,30],"various":[1,64],"audio":[2,28],"signal":[3],"processing":[4],"applications,":[5],"such":[6],"as":[7],"source":[8,17,46],"separation":[9],"and":[10,19,48],"dereverberation,":[11],"accurate":[12],"mathematical":[13],"modeling":[14],"of":[15,81,109],"both":[16],"signals":[18],"room":[20,38,117],"reverberation":[21],"is":[22,112],"needed":[23],"to":[24,57,70,76,88,114,125],"properly":[25],"describe":[26],"the":[27,44,60,72,79,82,89,110,126],"data.":[29],"a":[31,36],"previous":[32],"paper,":[33],"we":[34,49],"introduced":[35],"stochastic":[37],"impulse":[39,118],"response":[40],"model":[41,61,73,111],"based":[42],"on":[43],"image":[45],"principle,":[47],"proposed":[50],"an":[51],"expectation-maximization":[52],"algorithm":[53],"that":[54,106,120],"was":[55],"able":[56,113],"efficiently":[58],"estimate":[59],"parameters":[62],"in":[63,74],"experimental":[65,103],"settings.":[66],"This":[67],"paper":[68],"aims":[69],"extend":[71],"order":[75],"account":[77],"for":[78],"dependency":[80],"exponential":[83],"decay":[84],"over":[85],"frequency,":[86],"due":[87],"walls":[90],"usually":[91],"absorbing":[92],"less":[93],"energy":[94],"at":[95,99],"low":[96],"frequencies":[97],"than":[98],"high":[100],"frequencies.":[101],"Our":[102],"results":[104],"show":[105],"this":[107],"refinement":[108],"generate":[115],"realistic":[116],"responses,":[119],"are":[121],"perceptively":[122],"very":[123],"close":[124],"original":[127],"ones.":[128]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
