{"id":"https://openalex.org/W3016220767","doi":"https://doi.org/10.1109/icassp40776.2020.9054145","title":"Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts","display_name":"Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016220767","doi":"https://doi.org/10.1109/icassp40776.2020.9054145","mag":"3016220767"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5058209019","display_name":"Ke Tan","orcid":"https://orcid.org/0000-0001-5073-8060"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ke Tan","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051837453","display_name":"DeLiang Wang","orcid":"https://orcid.org/0000-0001-8195-6319"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DeLiang Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058209019"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":1.3638,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80829493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":null,"first_page":"6914","last_page":"6918"},"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":0.9984999895095825,"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":0.9968000054359436,"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-recognition","display_name":"Speech recognition","score":0.7586787939071655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395978569984436},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7374293804168701},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.714508056640625},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.6859855651855469},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.5724982619285583},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5716846585273743},{"id":"https://openalex.org/keywords/monaural","display_name":"Monaural","score":0.4779496192932129},{"id":"https://openalex.org/keywords/enhancer","display_name":"Enhancer","score":0.41914334893226624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28221938014030457},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.20882564783096313}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7586787939071655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395978569984436},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7374293804168701},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.714508056640625},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.6859855651855469},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.5724982619285583},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5716846585273743},{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.4779496192932129},{"id":"https://openalex.org/C111936080","wikidata":"https://www.wikidata.org/wiki/Q913367","display_name":"Enhancer","level":4,"score":0.41914334893226624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28221938014030457},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.20882564783096313},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1495679096","https://openalex.org/W1552314771","https://openalex.org/W1995536493","https://openalex.org/W2024490156","https://openalex.org/W2064675550","https://openalex.org/W2101042021","https://openalex.org/W2121973264","https://openalex.org/W2126942983","https://openalex.org/W2141998673","https://openalex.org/W2145760110","https://openalex.org/W2146324387","https://openalex.org/W2149535104","https://openalex.org/W2153894152","https://openalex.org/W2156387975","https://openalex.org/W2168379380","https://openalex.org/W2169147844","https://openalex.org/W2561557072","https://openalex.org/W2785523195","https://openalex.org/W2804690068","https://openalex.org/W2889442120","https://openalex.org/W2940275453","https://openalex.org/W2962866211","https://openalex.org/W3147539069","https://openalex.org/W4253928870","https://openalex.org/W6633117090","https://openalex.org/W6682889407","https://openalex.org/W6684924409","https://openalex.org/W6747620207"],"related_works":["https://openalex.org/W1986772939","https://openalex.org/W2538939196","https://openalex.org/W3045520545","https://openalex.org/W2037635165","https://openalex.org/W3000153094","https://openalex.org/W2542062716","https://openalex.org/W3043214604","https://openalex.org/W1505346162","https://openalex.org/W4200562864","https://openalex.org/W2738829087"],"abstract_inverted_index":{"In":[0,74],"voice":[1],"telecommunication,":[2],"the":[3,18,21,38,42,46,50,59,88,94,101,106,120,133,139],"intelligibility":[4],"and":[5,61,113],"quality":[6],"of":[7,48,141],"speech":[8,31,57,68,72,82,96,125,142,149],"signals":[9],"can":[10,64,85],"be":[11],"severely":[12],"degraded":[13],"by":[14,105,147],"background":[15],"noise":[16],"if":[17],"speaker":[19],"at":[20],"transmitting":[22],"end":[23,52],"talks":[24],"in":[25],"a":[26,30,56,67,81,115],"noisy":[27],"environment.":[28],"Therefore,":[29],"enhancement":[32,89,126],"system":[33],"is":[34,53,92,98],"typically":[35],"integrated":[36],"into":[37],"transmitter":[39,60],"device":[40],"or":[41],"receiver":[43,62],"device.":[44],"Without":[45],"knowledge":[47],"whether":[49],"other":[51],"equipped":[54],"with":[55,70],"enhancer,":[58],"devices":[63],"both":[65],"process":[66],"signal":[69,83],"their":[71],"enhancers.":[73],"this":[75,111],"study,":[76],"we":[77],"find":[78],"that":[79,132],"enhancing":[80],"twice":[84],"dramatically":[86],"degrade":[87],"performance.":[90],"This":[91],"because":[93],"downstream":[95,121],"enhancer":[97],"sensitive":[99],"to":[100],"processing":[102],"artifacts":[103,145],"introduced":[104],"upstream":[107],"enhancer.":[108,150],"We":[109],"analyze":[110],"problem":[112],"propose":[114],"new":[116],"training":[117,135],"scheme":[118],"for":[119],"deep":[122],"learning":[123],"based":[124],"model.":[127],"Our":[128],"experimental":[129],"results":[130],"show":[131],"proposed":[134],"strategy":[136],"substantially":[137],"elevate":[138],"robustness":[140],"enhancers":[143],"against":[144],"induced":[146],"another":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}