{"id":"https://openalex.org/W2791833049","doi":"https://doi.org/10.23919/eusipco.2018.8553141","title":"Speech Dereverberation Using Fully Convolutional Networks","display_name":"Speech Dereverberation Using Fully Convolutional Networks","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2791833049","doi":"https://doi.org/10.23919/eusipco.2018.8553141","mag":"2791833049"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553141","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.08243","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034448663","display_name":"Ori Ernst","orcid":null},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Ori Ernst","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080213609","display_name":"Shlomo E. Chazan","orcid":"https://orcid.org/0000-0002-6614-6112"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shlomo E. Chazan","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001052072","display_name":"Sharon Gannot","orcid":"https://orcid.org/0000-0002-2885-170X"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Sharon Gannot","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"Faculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005409420","display_name":"Jacob Goldberger","orcid":"https://orcid.org/0000-0002-2225-1914"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jacob Goldberger","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","Bar-Ilan University"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"Bar-Ilan University","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034448663"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":1.08365688,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75452436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"390","last_page":"394"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9957000017166138,"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":0.821679949760437},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6567937135696411},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.6141989827156067},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5921303033828735},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5749478936195374},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4877822995185852},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.486175000667572},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4518076181411743},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44734713435173035},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4301866292953491},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4170064628124237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4152716398239136},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1615104079246521},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.09143891930580139},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.08682745695114136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0862346887588501},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0785726010799408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.821679949760437},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6567937135696411},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.6141989827156067},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5921303033828735},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5749478936195374},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4877822995185852},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.486175000667572},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4518076181411743},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44734713435173035},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4301866292953491},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4170064628124237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4152716398239136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1615104079246521},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.09143891930580139},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.08682745695114136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0862346887588501},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0785726010799408},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.23919/eusipco.2018.8553141","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1803.08243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.08243","pdf_url":"https://arxiv.org/pdf/1803.08243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2791833049","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1803.08243v2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1803.08243","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.08243","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.08243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.08243","pdf_url":"https://arxiv.org/pdf/1803.08243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2791833049.pdf","grobid_xml":"https://content.openalex.org/works/W2791833049.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1489832123","https://openalex.org/W1901129140","https://openalex.org/W1977703546","https://openalex.org/W1997109056","https://openalex.org/W2006129368","https://openalex.org/W2042071805","https://openalex.org/W2069681747","https://openalex.org/W2099471712","https://openalex.org/W2127057679","https://openalex.org/W2130722890","https://openalex.org/W2147166770","https://openalex.org/W2161784349","https://openalex.org/W2183622110","https://openalex.org/W2242685705","https://openalex.org/W2395611524","https://openalex.org/W2609317876","https://openalex.org/W2746457594","https://openalex.org/W2768009545","https://openalex.org/W2911394281","https://openalex.org/W2963073614","https://openalex.org/W4296927107","https://openalex.org/W6629174641","https://openalex.org/W6639824700","https://openalex.org/W6686646362","https://openalex.org/W6941384618","https://openalex.org/W6982686887"],"related_works":["https://openalex.org/W2963941778","https://openalex.org/W3095913803","https://openalex.org/W2886938596","https://openalex.org/W3199713199","https://openalex.org/W3031135612","https://openalex.org/W2994785103","https://openalex.org/W3027637851","https://openalex.org/W2944162086","https://openalex.org/W2963954250","https://openalex.org/W3088159194","https://openalex.org/W3015654783","https://openalex.org/W3135915893","https://openalex.org/W3004282423","https://openalex.org/W2900151226","https://openalex.org/W2810843531","https://openalex.org/W3169940635","https://openalex.org/W2994988791","https://openalex.org/W3012383481","https://openalex.org/W2891138528","https://openalex.org/W2591810467"],"abstract_inverted_index":{"Speech":[0],"derverberation":[1],"using":[2],"a":[3,47,58,69],"single":[4],"microphone":[5],"is":[6,50],"addressed":[7],"in":[8,22,109],"this":[9],"paper.":[10],"Motivated":[11],"by":[12,37],"the":[13,17,33,82,85,96,106],"recent":[14],"success":[15],"of":[16],"fully":[18],"convolutional":[19],"networks":[20],"(FCN)":[21],"many":[23],"image":[24],"processing":[25],"applications,":[26],"we":[27,80],"investigate":[28],"their":[29],"applicability":[30],"to":[31,92],"enhance":[32],"speech":[34],"signal":[35],"represented":[36],"short-time":[38],"Fourier":[39],"transform":[40],"(STFT)":[41],"images.":[42],"We":[43,99],"present":[44],"two":[45],"variations:":[46],"\"U-Net\"":[48],"which":[49,67],"an":[51],"encoder-decoder":[52],"network":[53,61],"with":[54,63],"skip":[55],"connections":[56],"and":[57,88],"generative":[59],"adversarial":[60],"(GAN)":[62],"U-Net":[64],"as":[65],"generator,":[66],"yields":[68],"more":[70],"intuitive":[71],"cost":[72],"function":[73],"for":[74],"training.":[75],"To":[76],"evaluate":[77],"our":[78,90,103],"method":[79,104],"used":[81],"data":[83],"from":[84],"REVERB":[86],"challenge,":[87],"compared":[89],"results":[91],"other":[93],"methods":[94,108],"under":[95],"same":[97],"conditions.":[98],"have":[100],"found":[101],"that":[102],"outperforms":[105],"competing":[107],"most":[110],"cases.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}