{"id":"https://openalex.org/W2036763972","doi":"https://doi.org/10.1109/taslp.2014.2329732","title":"Variational Bayesian Inference for Multichannel Dereverberation and Noise Reduction","display_name":"Variational Bayesian Inference for Multichannel Dereverberation and Noise Reduction","publication_year":2014,"publication_date":"2014-06-19","ids":{"openalex":"https://openalex.org/W2036763972","doi":"https://doi.org/10.1109/taslp.2014.2329732","mag":"2036763972"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2014.2329732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2014.2329732","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/A5022520766","display_name":"Dominic Schmid","orcid":null},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dominic Schmid","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077936911","display_name":"Gerald Enzner","orcid":"https://orcid.org/0000-0002-3096-1342"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerald Enzner","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068889382","display_name":"Sarmad Malik","orcid":"https://orcid.org/0000-0003-0816-3819"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sarmad Malik","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007017640","display_name":"Dorothea Kolossa","orcid":"https://orcid.org/0000-0003-0678-3053"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dorothea Kolossa","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064880163","display_name":"Rainer Martin","orcid":"https://orcid.org/0000-0002-9587-4215"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Martin","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]"],"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"[Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany]","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022520766"],"corresponding_institution_ids":["https://openalex.org/I904495901"],"apc_list":null,"apc_paid":null,"fwci":3.8265,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.94159585,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"8","first_page":"1320","last_page":"1335"},"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":0.9994999766349792,"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":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.680366575717926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654584527015686},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5892907977104187},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.568656325340271},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.46449995040893555},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45227888226509094},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4379293918609619},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4198007881641388},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3959687352180481},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3732578754425049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23856836557388306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21478116512298584},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1886400580406189},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08764132857322693}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.680366575717926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654584527015686},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5892907977104187},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.568656325340271},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46449995040893555},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45227888226509094},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4379293918609619},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4198007881641388},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3959687352180481},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3732578754425049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23856836557388306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21478116512298584},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1886400580406189},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08764132857322693},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2014.2329732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2014.2329732","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":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1011499078","display_name":null,"funder_award_id":"EN 869/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W3189630","https://openalex.org/W214977198","https://openalex.org/W1506806321","https://openalex.org/W1522463960","https://openalex.org/W1969462564","https://openalex.org/W1973524311","https://openalex.org/W1973669708","https://openalex.org/W1976805820","https://openalex.org/W1979175467","https://openalex.org/W1993294423","https://openalex.org/W1996875341","https://openalex.org/W2009613049","https://openalex.org/W2027282255","https://openalex.org/W2039553327","https://openalex.org/W2042212675","https://openalex.org/W2045043668","https://openalex.org/W2060108923","https://openalex.org/W2065804682","https://openalex.org/W2067584370","https://openalex.org/W2089586791","https://openalex.org/W2093974379","https://openalex.org/W2099984896","https://openalex.org/W2101609516","https://openalex.org/W2107992675","https://openalex.org/W2110097273","https://openalex.org/W2110606453","https://openalex.org/W2110913111","https://openalex.org/W2114265468","https://openalex.org/W2115107141","https://openalex.org/W2115979064","https://openalex.org/W2116635162","https://openalex.org/W2117678320","https://openalex.org/W2119438736","https://openalex.org/W2122171611","https://openalex.org/W2130640611","https://openalex.org/W2130721371","https://openalex.org/W2133908567","https://openalex.org/W2136883355","https://openalex.org/W2136894416","https://openalex.org/W2142117481","https://openalex.org/W2142352807","https://openalex.org/W2144244295","https://openalex.org/W2144404214","https://openalex.org/W2147665979","https://openalex.org/W2158143227","https://openalex.org/W2159220049","https://openalex.org/W2160337655","https://openalex.org/W2161784349","https://openalex.org/W2164502538","https://openalex.org/W2165534711","https://openalex.org/W2170222430","https://openalex.org/W2188162373","https://openalex.org/W2404226287","https://openalex.org/W2407183584","https://openalex.org/W2594639291","https://openalex.org/W2966995518","https://openalex.org/W3105118415","https://openalex.org/W3127686677","https://openalex.org/W6676885790","https://openalex.org/W6679561100","https://openalex.org/W6680017764","https://openalex.org/W6686978693","https://openalex.org/W6713346665","https://openalex.org/W6713516389"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W1562475690","https://openalex.org/W1488529827","https://openalex.org/W2987432963","https://openalex.org/W2053167664","https://openalex.org/W2780118011","https://openalex.org/W2079152323","https://openalex.org/W2128388559"],"abstract_inverted_index":{"Room":[0],"reverberation":[1,183],"and":[2,25,75,101,120,124,139,170,184],"background":[3],"noise":[4,26,185],"severely":[5],"degrade":[6],"the":[7,19,44,53,63,67,73,76,89,93,97,118,125,132,145,158],"quality":[8],"of":[9,21,66,92,131,160,165,182],"hands-free":[10],"speech":[11,23,166,171],"communication":[12],"systems.":[13],"In":[14],"this":[15],"work,":[16],"we":[17,83,156],"address":[18],"problem":[20],"combined":[22],"dereverberation":[24],"reduction":[27],"using":[28,105],"a":[29,39,57,85,179],"variational":[30],"Bayesian":[31],"(VB)":[32],"inference":[33],"approach.":[34,109],"Our":[35,110],"method":[36],"relies":[37],"on":[38,88],"multichannel":[40],"state-space":[41],"model":[42,60,94,127],"for":[43,136,178],"acoustic":[45],"channels":[46,74],"that":[47,144],"combines":[48],"frame-based":[49],"observation":[50],"equations":[51,114],"in":[52,163],"frequency":[54],"domain":[55],"with":[56],"first-order":[58],"Markov":[59],"to":[61,115,174],"describe":[62],"time-varying":[64],"nature":[65],"room":[68],"impulse":[69],"responses.":[70],"By":[71],"modeling":[72],"source":[77,121],"signal":[78],"as":[79,152],"latent":[80],"random":[81],"variables,":[82],"formulate":[84],"lower":[86],"bound":[87],"log-likelihood":[90],"function":[91],"parameters":[95],"given":[96],"observed":[98],"microphone":[99],"signals":[100],"iteratively":[102],"maximize":[103],"it":[104],"an":[106],"online":[107],"expectation-maximization":[108],"derivation":[111],"yields":[112],"update":[113],"jointly":[116],"estimate":[117],"channel":[119,140],"posterior":[122],"distributions":[123],"remaining":[126],"parameters.":[128],"An":[129],"inspection":[130],"resulting":[133],"VB":[134],"algorithm":[135],"blind":[137],"equalization":[138],"identification":[141],"(VB-BENCH)":[142],"reveals":[143],"presented":[146],"framework":[147],"includes":[148],"previously":[149],"proposed":[150],"methods":[151],"special":[153],"cases.":[154],"Finally,":[155],"evaluate":[157],"performance":[159],"our":[161],"approach":[162],"terms":[164],"quality,":[167],"adaptation":[168],"times,":[169],"recognition":[172],"results":[173],"demonstrate":[175],"its":[176],"effectiveness":[177],"wide":[180],"range":[181],"conditions.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
