{"id":"https://openalex.org/W2096698681","doi":"https://doi.org/10.1109/taslp.2015.2498101","title":"Unseen Noise Estimation Using Separable Deep Auto Encoder for Speech Enhancement","display_name":"Unseen Noise Estimation Using Separable Deep Auto Encoder for Speech Enhancement","publication_year":2015,"publication_date":"2015-11-05","ids":{"openalex":"https://openalex.org/W2096698681","doi":"https://doi.org/10.1109/taslp.2015.2498101","mag":"2096698681"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2015.2498101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2015.2498101","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":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/bitstream/123456789/523144/4/3996_final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085248515","display_name":"Meng Sun","orcid":"https://orcid.org/0000-0002-7435-3752"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Sun","raw_affiliation_strings":["Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China","Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China#TAB#","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011581435","display_name":"Xiongwei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongwei Zhang","raw_affiliation_strings":["Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China","Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Lab of Intelligent Information Processing, PLA University of Science and Technology, Nanjing, China#TAB#","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087514947","display_name":"Hugo Van hamme","orcid":"https://orcid.org/0000-0003-1331-5186"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hugo Van hamme","raw_affiliation_strings":["Electrical Engineering Department (ESAT), KU Leuven, Leuven, Belgium","Speech Processing Research Group, Electrical Engineering Department (ESAT), KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department (ESAT), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Speech Processing Research Group, Electrical Engineering Department (ESAT), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084318285","display_name":"Thomas Fang Zheng","orcid":"https://orcid.org/0000-0002-0249-4767"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thomas Fang Zheng","raw_affiliation_strings":["Research Institute of Information Technology, Tsinghua University, Beijing, China","Research Institute of Information Technology Tsinghua University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Information Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Research Institute of Information Technology Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.9587,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.98102679,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"24","issue":"1","first_page":"93","last_page":"104"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9980000257492065,"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":0.9970999956130981,"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/speech-enhancement","display_name":"Speech enhancement","score":0.7204692959785461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7086502313613892},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6960664391517639},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6199623346328735},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.531570553779602},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4191802740097046},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41441577672958374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37674540281295776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3216112554073334},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.17777255177497864},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.10638678073883057}],"concepts":[{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7204692959785461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7086502313613892},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6960664391517639},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6199623346328735},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.531570553779602},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4191802740097046},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41441577672958374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37674540281295776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3216112554073334},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.17777255177497864},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.10638678073883057},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/taslp.2015.2498101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2015.2498101","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.701.670","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.701.670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cslt.riit.tsinghua.edu.cn/%7Efzheng/PAPERS/2016/1601E_IEEE-TASL_Unseen-noise-estimation_MSun.pdf","raw_type":"text"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/523144","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/523144/4/3996_final.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE-acm Transactions on Audio Speech and Language Processing, vol. 24 (1), (93-104)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/523144","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/523144/4/3996_final.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE-acm Transactions on Audio Speech and Language Processing, vol. 24 (1), (93-104)","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1658174030","display_name":null,"funder_award_id":"61402519","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1821827784","display_name":"\u9762\u5411\u8bed\u97f3\u8868\u793a\u53ca\u5206\u79bb\u7684\u7ed3\u6784\u5316\u6df1\u5ea6\u5b66\u4e60\u7814\u7a76","funder_award_id":"61471394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G465702083","display_name":null,"funder_award_id":"2013CB329302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5667559799","display_name":null,"funder_award_id":"BK2012510","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5681708534","display_name":null,"funder_award_id":"BK20140074","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8129510001","display_name":null,"funder_award_id":"BK20140071","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8204283577","display_name":"\u8bf4\u8bdd\u4eba\u8bc6\u522b\u4e2d\u65f6\u53d8\u9c81\u68d2\u7684\u58f0\u7eb9\u7279\u5f81\u7814\u7a76","funder_award_id":"61271389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1484457343","https://openalex.org/W1528056001","https://openalex.org/W1552314771","https://openalex.org/W1831449718","https://openalex.org/W1904365287","https://openalex.org/W1974774036","https://openalex.org/W1980687383","https://openalex.org/W2013608223","https://openalex.org/W2025515167","https://openalex.org/W2031647436","https://openalex.org/W2035424729","https://openalex.org/W2044893557","https://openalex.org/W2051057783","https://openalex.org/W2051428568","https://openalex.org/W2078528584","https://openalex.org/W2101042021","https://openalex.org/W2101182319","https://openalex.org/W2106582496","https://openalex.org/W2121973264","https://openalex.org/W2126693545","https://openalex.org/W2127851351","https://openalex.org/W2130178255","https://openalex.org/W2139500975","https://openalex.org/W2150415460","https://openalex.org/W2167090878","https://openalex.org/W2405774341","https://openalex.org/W4297801963","https://openalex.org/W6629014090","https://openalex.org/W6638670064","https://openalex.org/W6640036494","https://openalex.org/W6713658392"],"related_works":["https://openalex.org/W2071828724","https://openalex.org/W4375869169","https://openalex.org/W1994694193","https://openalex.org/W2597829360","https://openalex.org/W3096184950","https://openalex.org/W4231424160","https://openalex.org/W2921661700","https://openalex.org/W2120771489","https://openalex.org/W2138406058","https://openalex.org/W2131486661"],"abstract_inverted_index":{"Unseen":[0],"noise":[1,30,138,232,236],"estimation":[2],"is":[3,31,34,78,100,161,179,199],"a":[4,11,51,73,143,207],"key":[5],"yet":[6],"challenging":[7],"step":[8],"to":[9,102,146,216],"make":[10],"speech":[12,54,88,95,113,123,130,155,159,169,197,209],"enhancement":[13],"algorithm":[14],"work":[15,82],"in":[16,70,80,201,223],"adverse":[17],"environments.":[18],"At":[19],"worst,":[20],"the":[21,28,37,43,56,64,86,91,104,110,117,121,127,133,137,148,153,166,187,191,195,202,218,221,224,239,242,246],"only":[22],"prior":[23],"knowledge":[24],"we":[25],"know":[26],"about":[27],"encountered":[29],"that":[32],"it":[33],"different":[35],"from":[36,120],"involved":[38],"speech.":[39],"Therefore,":[40],"by":[41,50,108,164,206],"subtracting":[42,109],"components":[44],"which":[45],"cannot":[46],"be":[47,59],"adequately":[48],"represented":[49],"well":[52],"defined":[53],"model,":[55],"noises":[57],"can":[58,141],"estimated":[60,111,128,167],"and":[61,132],"removed.":[62],"Given":[63,186],"good":[65],"performance":[66],"of":[67,94,136,152,190,220,241],"deep":[68,74,182],"learning":[69,212],"signal":[71,160],"representation,":[72],"auto":[75,183],"encoder":[76,184],"(DAE)":[77],"employed":[79],"this":[81],"for":[83],"accurately":[84],"modeling":[85],"clean":[87,112,129,168,196],"spectrum.":[89,124,156],"In":[90],"subsequent":[92],"stage":[93],"enhancement,":[96],"an":[97],"extra":[98],"DAE":[99],"introduced":[101],"represent":[103],"residual":[105],"part":[106],"obtained":[107,163],"spectrum":[114,131,170],"(by":[115],"using":[116],"pre-trained":[118,208],"DAE)":[119],"noisy":[122,154],"By":[125],"adjusting":[126],"unknown":[134],"parameters":[135,222],"DAE,":[139],"one":[140],"reach":[142],"stationary":[144],"point":[145],"minimize":[147],"total":[149],"reconstruction":[150,198],"error":[151],"The":[157,175],"enhanced":[158],"thus":[162],"transforming":[165],"back":[171],"into":[172],"time":[173],"domain.":[174],"above":[176,192],"proposed":[177,243],"technique":[178],"called":[180],"separable":[181],"(SDAE).":[185],"under-determined":[188],"nature":[189],"optimization":[193],"problem,":[194],"confined":[200],"convex":[203],"hull":[204],"spanned":[205],"dictionary.":[210],"New":[211],"algorithms":[213],"are":[214],"investigated":[215],"respect":[217],"non-negativity":[219],"SDAE.":[225],"Experimental":[226],"results":[227],"on":[228],"TIMIT":[229],"with":[230],"20":[231],"types":[233],"at":[234],"various":[235],"levels":[237],"demonstrate":[238],"superiority":[240],"method":[244],"over":[245],"conventional":[247],"baselines.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}