{"id":"https://openalex.org/W4311841227","doi":"https://doi.org/10.1109/icassp49357.2023.10095237","title":"Fast and Efficient Speech Enhancement with Variational Autoencoders","display_name":"Fast and Efficient Speech Enhancement with Variational Autoencoders","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4311841227","doi":"https://doi.org/10.1109/icassp49357.2023.10095237"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062612015","display_name":"Mostafa Sadeghi","orcid":"https://orcid.org/0000-0002-0272-8017"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mostafa Sadeghi","raw_affiliation_strings":["Universit&#x00E9; de Lorraine,CNRS, Inria, LORIA,Nancy,France,F-54000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Lorraine,CNRS, Inria, LORIA,Nancy,France,F-54000","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210121838","https://openalex.org/I90183372"]}]},{"author_position":"last","author":{"id":null,"display_name":"Romain Serizel","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Serizel","raw_affiliation_strings":["Universit&#x00E9; de Lorraine,CNRS, Inria, LORIA,Nancy,France,F-54000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Lorraine,CNRS, Inria, LORIA,Nancy,France,F-54000","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210121838","https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11309","display_name":"Music and Audio Processing","score":0.9921000003814697,"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":0.7326631546020508},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5938016176223755},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5676395893096924},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5592378377914429},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5274028182029724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5078287720680237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4177662134170532},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3543036878108978},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.15298283100128174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326631546020508},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5938016176223755},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5676395893096924},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5592378377914429},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5274028182029724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5078287720680237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4177662134170532},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3543036878108978},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.15298283100128174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1552314771","https://openalex.org/W1959608418","https://openalex.org/W2029199293","https://openalex.org/W2141998673","https://openalex.org/W2167433878","https://openalex.org/W2747876639","https://openalex.org/W2766672686","https://openalex.org/W2883322837","https://openalex.org/W2919115771","https://openalex.org/W2943237054","https://openalex.org/W2962866211","https://openalex.org/W2963375116","https://openalex.org/W2964058413","https://openalex.org/W2965390715","https://openalex.org/W2972516210","https://openalex.org/W3005621653","https://openalex.org/W3011982609","https://openalex.org/W3033703941","https://openalex.org/W3130335839","https://openalex.org/W3131332223","https://openalex.org/W4292403327","https://openalex.org/W4302765731","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6684809622","https://openalex.org/W6735429107"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W1525770572","https://openalex.org/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4302285290","https://openalex.org/W3209466624"],"abstract_inverted_index":{"Unsupervised":[0],"speech":[1,27,44],"enhancement":[2,131],"based":[3,67,92],"on":[4,68,93],"variational":[5,78],"autoencoders":[6],"has":[7],"shown":[8],"promising":[9],"performance":[10],"compared":[11],"with":[12,30,46,104],"the":[13,21,36,42,120],"commonly":[14],"used":[15],"supervised":[16],"methods.":[17,83,136],"This":[18],"approach":[19,91],"involves":[20,53],"use":[22],"of":[23,100,113],"a":[24,31,89,105],"pre-trained":[25],"deep":[26],"prior":[28],"along":[29],"parametric":[32],"noise":[33,37],"model,":[34],"where":[35],"parameters":[38],"are":[39,65],"learned":[40],"from":[41],"noisy":[43],"signal":[45],"an":[47,54,124],"expectation-maximization":[48],"(EM)-based":[49],"method.":[50],"The":[51],"E-step":[52],"intractable":[55],"latent":[56,114],"posterior":[57],"distribution.":[58],"Existing":[59],"algorithms":[60],"to":[61,109],"solve":[62],"this":[63,85],"step":[64],"either":[66],"computationally":[69],"heavy":[70],"Monte":[71],"Carlo":[72],"Markov":[73],"Chain":[74],"sampling":[75],"methods":[76],"and":[77,102,130,133],"inference,":[79],"or":[80],"inefficient":[81],"optimization-based":[82],"In":[84],"paper,":[86],"we":[87],"propose":[88],"new":[90],"Langevin":[94],"dynamics":[95],"that":[96,119],"generates":[97],"multiple":[98],"sequences":[99],"samples":[101],"comes":[103],"total":[106],"variation-based":[107],"regularization":[108],"incorporate":[110],"temporal":[111],"correlations":[112],"vectors.":[115],"Our":[116],"experiments":[117],"demonstrate":[118],"developed":[121],"framework":[122],"makes":[123],"effective":[125],"compromise":[126],"between":[127],"computational":[128],"efficiency":[129],"quality,":[132],"outperforms":[134],"existing":[135]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
