{"id":"https://openalex.org/W4224933773","doi":"https://doi.org/10.1109/icassp43922.2022.9746069","title":"Sparse Modeling of The Early Part of Noisy Room Impulse Responses with Sparse Bayesian Learning","display_name":"Sparse Modeling of The Early Part of Noisy Room Impulse Responses with Sparse Bayesian Learning","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224933773","doi":"https://doi.org/10.1109/icassp43922.2022.9746069"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746069","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5087503520","display_name":"Maozhong Fu","orcid":"https://orcid.org/0000-0001-5567-7885"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["CN","DK"],"is_corresponding":false,"raw_author_name":"Maozhong Fu","raw_affiliation_strings":["Xiamen University,School of Information Science and Engineering,Xiamen,China,361005","Audio Analysis Lab, CREATE, Aalborg University, Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Information Science and Engineering,Xiamen,China,361005","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Audio Analysis Lab, CREATE, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041263382","display_name":"Jesper Rindom Jensen","orcid":"https://orcid.org/0000-0001-6023-8270"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jesper Rindom Jensen","raw_affiliation_strings":["Aalborg University,Audio Analysis Lab, CREATE,Aalborg,Denmark,9000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Audio Analysis Lab, CREATE,Aalborg,Denmark,9000","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332399","display_name":"Yuhan Li","orcid":"https://orcid.org/0000-0002-5507-2162"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["CN","DK"],"is_corresponding":false,"raw_author_name":"Yuhan Li","raw_affiliation_strings":["Xiamen University,School of Information Science and Engineering,Xiamen,China,361005","Audio Analysis Lab, CREATE, Aalborg University, Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University,School of Information Science and Engineering,Xiamen,China,361005","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Audio Analysis Lab, CREATE, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026658144","display_name":"Mads Gr\u00e6sb\u00f8ll Christensen","orcid":"https://orcid.org/0000-0003-3586-7969"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mads Grasboll Christensen","raw_affiliation_strings":["Aalborg University,Audio Analysis Lab, CREATE,Aalborg,Denmark,9000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Audio Analysis Lab, CREATE,Aalborg,Denmark,9000","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9683,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7617249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"586","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9943000078201294,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598845720291138},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.640386164188385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5329766273498535},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.515942394733429},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.45534950494766235},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.4508103132247925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4423435926437378},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4200121760368347},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4192408621311188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.382245272397995},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06796222925186157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598845720291138},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.640386164188385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5329766273498535},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.515942394733429},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.45534950494766235},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.4508103132247925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4423435926437378},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4200121760368347},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4192408621311188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.382245272397995},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06796222925186157},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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":2,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746069","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/676941b6-bda2-43f7-abf2-05d2f5e0dde7","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/676941b6-bda2-43f7-abf2-05d2f5e0dde7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fu , M , Jensen , J R , Li , Y &amp; Christensen , M G 2022 , Sparse Modeling of The Early Part of Noisy Room Impulse Responses with Sparse Bayesian Learning . in 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings . , 9746069 , IEEE , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings , vol. 2022-May , pp. 586-590 , 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 , Virtual, Online , Singapore , 23/05/2022 . https://doi.org/10.1109/ICASSP43922.2022.9746069","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1650958574","https://openalex.org/W2040782121","https://openalex.org/W2040992166","https://openalex.org/W2059161463","https://openalex.org/W2067503923","https://openalex.org/W2072604753","https://openalex.org/W2081416904","https://openalex.org/W2089296042","https://openalex.org/W2141348453","https://openalex.org/W2142370513","https://openalex.org/W2148154358","https://openalex.org/W2152279006","https://openalex.org/W2204353980","https://openalex.org/W2290170958","https://openalex.org/W2401252947","https://openalex.org/W2410879554","https://openalex.org/W2725685891","https://openalex.org/W2750297179","https://openalex.org/W2766230339","https://openalex.org/W2771343701","https://openalex.org/W2898268964","https://openalex.org/W2996790039","https://openalex.org/W3015969913","https://openalex.org/W3098352114","https://openalex.org/W3104196160","https://openalex.org/W3161190431","https://openalex.org/W3163405844"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W2091883426","https://openalex.org/W3173235360","https://openalex.org/W1987225540","https://openalex.org/W2174948646","https://openalex.org/W2024017047","https://openalex.org/W2363993830","https://openalex.org/W4318256793","https://openalex.org/W1778286912","https://openalex.org/W2116933539"],"abstract_inverted_index":{"A":[0],"model":[1,73],"of":[2,14,20,35,78,88,117],"a":[3,11,21,60,102],"room":[4],"impulse":[5],"response":[6],"(RIR)":[7],"is":[8,23],"useful":[9],"for":[10,30,74],"wide":[12],"range":[13],"applications.":[15],"Typically,":[16],"the":[17,36,52,55,71,75,86,90,96,110,127],"early":[18,76],"part":[19,77],"RIR":[22],"sparse,":[24],"and":[25,32,122],"its":[26],"sparse":[27,72,81],"structure":[28],"allows":[29],"accurate":[31],"simple":[33],"modeling":[34],"RIR.":[37],"The":[38],"existing":[39,128],"\u2113":[40],"<inf":[41],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[42],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</inf>":[43],"(0":[44],"<":[45],"p":[46],"\u2264":[47],"1)-norm-based":[48],"methods":[49],"suffer":[50],"from":[51,99],"sensitivity":[53],"to":[54,69,126],"user-selected":[56],"regularization":[57],"parameters":[58],"or":[59],"high":[61],"computational":[62,104,123],"burden.":[63],"In":[64],"this":[65],"work,":[66],"we":[67],"propose":[68],"reconstruct":[70],"RIRs":[79],"with":[80],"Bayesian":[82],"learning":[83],"(SBL).":[84],"Under":[85],"framework":[87],"SBL,":[89],"proposed":[91,111],"method":[92,112],"can":[93],"adaptively":[94],"learn":[95],"optimal":[97],"hyper-parameters":[98],"data":[100],"at":[101],"low":[103],"cost.":[105],"Experiment":[106],"results":[107],"show":[108],"that":[109],"has":[113],"advantages":[114],"in":[115],"terms":[116],"noise":[118],"robustness,":[119],"reconstruction":[120],"sparsity,":[121],"efficiency":[124],"compared":[125],"methods.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}