{"id":"https://openalex.org/W2936779345","doi":"https://doi.org/10.1109/icassp.2019.8682684","title":"Postfiltering Using an Adversarial Denoising Autoencoder with Noise-aware Training","display_name":"Postfiltering Using an Adversarial Denoising Autoencoder with Noise-aware Training","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2936779345","doi":"https://doi.org/10.1109/icassp.2019.8682684","mag":"2936779345"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 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/A5073111123","display_name":"Naohiro Tawara","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naohiro Tawara","raw_affiliation_strings":["Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040875191","display_name":"Hikari Tanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hikari Tanabe","raw_affiliation_strings":["Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101188700","display_name":"Tetsunori Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsunori Kobayashi","raw_affiliation_strings":["Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080960862","display_name":"Masaru Fujieda","orcid":null},"institutions":[{"id":"https://openalex.org/I28777237","display_name":"Oki Electric Industry (Japan)","ror":"https://ror.org/0503rt987","country_code":"JP","type":"company","lineage":["https://openalex.org/I28777237"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Fujieda","raw_affiliation_strings":["OKI Electric Industry Co., Ltd., Japan"],"affiliations":[{"raw_affiliation_string":"OKI Electric Industry Co., Ltd., Japan","institution_ids":["https://openalex.org/I28777237"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110478009","display_name":"Kazuhiro Katagiri","orcid":null},"institutions":[{"id":"https://openalex.org/I28777237","display_name":"Oki Electric Industry (Japan)","ror":"https://ror.org/0503rt987","country_code":"JP","type":"company","lineage":["https://openalex.org/I28777237"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Katagiri","raw_affiliation_strings":["OKI Electric Industry Co., Ltd., Japan"],"affiliations":[{"raw_affiliation_string":"OKI Electric Industry Co., Ltd., Japan","institution_ids":["https://openalex.org/I28777237"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009511138","display_name":"Takashi Yazu","orcid":null},"institutions":[{"id":"https://openalex.org/I28777237","display_name":"Oki Electric Industry (Japan)","ror":"https://ror.org/0503rt987","country_code":"JP","type":"company","lineage":["https://openalex.org/I28777237"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Yazu","raw_affiliation_strings":["OKI Electric Industry Co., Ltd., Japan"],"affiliations":[{"raw_affiliation_string":"OKI Electric Industry Co., Ltd., Japan","institution_ids":["https://openalex.org/I28777237"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087632404","display_name":"Tetsuji Ogawa","orcid":"https://orcid.org/0000-0002-7316-2073"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuji Ogawa","raw_affiliation_strings":["Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5073111123"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.1676,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41778022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3282","last_page":"3286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7638391852378845},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7222583293914795},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6731622815132141},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6607786417007446},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5615773797035217},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5541597008705139},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5516567826271057},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5248934030532837},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.47828182578086853},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4668581783771515},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4580726623535156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3897019028663635},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.22749030590057373},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1453295350074768},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13724461197853088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638391852378845},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7222583293914795},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6731622815132141},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6607786417007446},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5615773797035217},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5541597008705139},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5516567826271057},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5248934030532837},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.47828182578086853},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4668581783771515},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4580726623535156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3897019028663635},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.22749030590057373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1453295350074768},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13724461197853088},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1973681148","https://openalex.org/W2005522781","https://openalex.org/W2044893557","https://openalex.org/W2127851351","https://openalex.org/W2364134690","https://openalex.org/W2403766732","https://openalex.org/W2405774341","https://openalex.org/W2883440650","https://openalex.org/W2921824436","https://openalex.org/W2962946126","https://openalex.org/W2962997440","https://openalex.org/W2963321191","https://openalex.org/W2963341071","https://openalex.org/W2973220283","https://openalex.org/W6713298849","https://openalex.org/W6713658392","https://openalex.org/W6745822563"],"related_works":["https://openalex.org/W2022538999","https://openalex.org/W1955763106","https://openalex.org/W2002243964","https://openalex.org/W3090086172","https://openalex.org/W3171883019","https://openalex.org/W1585241115","https://openalex.org/W2120213246","https://openalex.org/W1564179349","https://openalex.org/W2025188156","https://openalex.org/W4312751558"],"abstract_inverted_index":{"An":[0],"adversarial":[1],"denoising":[2],"autoencoder":[3],"(ADAE)":[4],"with":[5],"noise-aware":[6,181],"training":[7,182],"is":[8,21,29,91,114],"proposed":[9],"and":[10,119,180],"successfully":[11],"applied":[12],"to":[13,31,33,57,61,74,81,96,128],"post-filtering":[14,169],"for":[15,23,93],"linear":[16],"noise":[17,152,157],"reduction.":[18],"The":[19],"ADAE":[20,95,184],"effective":[22],"attenuating":[24],"interference":[25],"sounds,":[26],"however,":[27,85],"it":[28,59,86],"difficult":[30,92],"learn":[32],"handle":[34],"its":[35],"various":[36,41],"unexpected":[37,69],"harmful":[38],"effects":[39],"(e.g.,":[40],"types":[42],"of":[43,145,183],"noise)":[44],"using":[45,162],"a":[46,55,101,117],"single":[47],"network.":[48],"Legacy":[49],"speech":[50,164,177],"enhancement":[51,165,178],"was":[52],"introduced":[53],"as":[54,116,125],"pre-processor":[56],"make":[58],"possible":[60],"efficiently":[62],"train":[63],"the":[64,68,72,75,83,94,120,126,129,138,143,146,150,155,174],"ADAEs":[65],"by":[66],"reducing":[67],"variabilities":[70],"in":[71],"inputs":[73,127],"ADAEs.":[76],"Time-frequency":[77],"masking":[78],"performed":[79],"well":[80],"suppress":[82],"variabilities,":[84],"induced":[87],"unpleasant":[88],"distortion,":[89],"which":[90,108],"complement.":[97],"In":[98,132],"this":[99],"paper,":[100],"minimum":[102],"variance":[103],"distortionless":[104],"response":[105],"(MVDR)":[106],"beam-former,":[107],"can":[109,141],"avoid":[110],"troublesome":[111],"non-linear":[112],"distortions,":[113],"exploited":[115],"preprocessor,":[118],"MVDR":[121,139],"outputs":[122],"are":[123],"used":[124],"ADAE-based":[130,147,168,176],"post-filter.":[131],"addition,":[133],"noise-dominant":[134],"signals":[135],"derived":[136],"from":[137],"beamformer":[140],"improve":[142],"accuracy":[144],"post-filter":[148],"because":[149],"residual":[151],"depends":[153],"on":[154],"original":[156],"signals.":[158],"Experimental":[159],"comparisons":[160],"conducted":[161],"multichannel":[163],"demonstrate":[166],"that":[167],"yields":[170],"significant":[171],"improvements":[172],"over":[173],"MVDR-and":[175],"systems,":[179],"works":[185],"well.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2025-10-10T00:00:00"}
