{"id":"https://openalex.org/W2808920027","doi":"https://doi.org/10.1109/lsp.2018.2849578","title":"Phase-Sensitive Joint Learning Algorithms for Deep Learning-Based Speech Enhancement","display_name":"Phase-Sensitive Joint Learning Algorithms for Deep Learning-Based Speech Enhancement","publication_year":2018,"publication_date":"2018-06-21","ids":{"openalex":"https://openalex.org/W2808920027","doi":"https://doi.org/10.1109/lsp.2018.2849578","mag":"2808920027"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2849578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2849578","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5101713446","display_name":"Jinkyu Lee","orcid":"https://orcid.org/0000-0002-9838-4908"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jinkyu Lee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070792118","display_name":"Jan Skoglund","orcid":"https://orcid.org/0009-0008-0167-4628"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jan Skoglund","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075831886","display_name":"Turaj Zakizadeh Shabestary","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Turaj Shabestary","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056128107","display_name":"Hong-Goo Kang","orcid":"https://orcid.org/0000-0002-6554-0783"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hong-Goo Kang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101713446"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":2.9726,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.92315852,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":"8","first_page":"1276","last_page":"1280"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6800506114959717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6548151969909668},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5482252240180969},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.501453161239624},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4811321794986725},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38183143734931946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3732244074344635},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.21667397022247314}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6800506114959717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548151969909668},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5482252240180969},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.501453161239624},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4811321794986725},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38183143734931946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3732244074344635},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.21667397022247314},{"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/lsp.2018.2849578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2849578","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1482149378","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1552314771","https://openalex.org/W1974387177","https://openalex.org/W2031647436","https://openalex.org/W2035576074","https://openalex.org/W2044893557","https://openalex.org/W2046869671","https://openalex.org/W2069681747","https://openalex.org/W2078528584","https://openalex.org/W2101045344","https://openalex.org/W2121973264","https://openalex.org/W2127851351","https://openalex.org/W2141411743","https://openalex.org/W2289394825","https://openalex.org/W2405589348","https://openalex.org/W2516001803","https://openalex.org/W2607406550","https://openalex.org/W2962866211","https://openalex.org/W3147539069","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6696392866"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2770665941","https://openalex.org/W3096184950","https://openalex.org/W4231424160","https://openalex.org/W2275432853","https://openalex.org/W197907117"],"abstract_inverted_index":{"This":[0],"letter":[1],"presents":[2],"a":[3,13,27,72,113,129,157,199],"phase-sensitive":[4,68,252],"joint":[5,130,207],"learning":[6,15,131,208,242,247],"algorithm":[7,132,243,248],"for":[8],"single-channel":[9],"speech":[10,64,121,166,225],"enhancement.":[11],"Although":[12],"deep":[14],"framework":[16],"that":[17,36,75,120,133,159,218,239],"estimates":[18],"the":[19,34,37,44,48,82,88,105,118,135,146,151,185,191,203,214,220,223,231,240,245,250],"time-frequency":[20],"(T-F)":[21],"domain":[22],"ideal":[23],"ratio":[24],"masks":[25],"demonstrates":[26],"strong":[28],"performance,":[29,186],"it":[30,110],"is":[31,40,71],"limited":[32],"in":[33,43,63,142,206],"sense":[35],"enhancement":[38,65],"process":[39],"performed":[41],"only":[42],"magnitude":[45,167,171,195],"domain,":[46],"while":[47],"phase":[49,61,175],"spectra":[50,62,196,229],"remain":[51],"unchanged.":[52],"Thus,":[53],"recent":[54],"studies":[55],"have":[56,112],"been":[57],"conducted":[58],"to":[59,92,111,144,179],"involve":[60],"systems.":[66],"A":[67],"mask":[69,74],"(PSM)":[70],"T-F":[73],"implicitly":[76],"represents":[77],"phase-related":[78],"information.":[79],"However,":[80],"since":[81],"PSM":[83],"has":[84],"an":[85],"unbounded":[86],"value,":[87],"networks":[89],"are":[90,124],"trained":[91],"target":[93],"its":[94,139],"truncated":[95,251],"values":[96],"rather":[97],"than":[98],"directly":[99],"estimating":[100],"it.":[101],"To":[102,182],"effectively":[103],"train":[104],"PSM,":[106],"we":[107,155,187,211],"first":[108],"approximate":[109],"bounded":[114],"dynamic":[115,192],"range":[116,193],"under":[117],"assumption":[119],"and":[122,173,226],"noise":[123,170,227],"uncorrelated.":[125],"We":[126],"then":[127],"propose":[128],"trains":[134],"approximated":[136],"value":[137],"through":[138],"parameterized":[140,163],"variables":[141],"order":[143],"minimize":[145],"inevitable":[147],"error":[148],"caused":[149],"by":[150,198],"truncation":[152],"process.":[153],"Specifically,":[154],"design":[156],"network":[158],"explicitly":[160],"targets":[161],"three":[162],"variables:":[164],"1)":[165],"spectra;":[168,172],"2)":[169],"3)":[174],"difference":[176],"of":[177,194,222],"clean":[178],"noisy":[180],"spectra.":[181],"further":[183],"improve":[184],"also":[188],"investigate":[189],"how":[190,213],"controlled":[197],"warping":[200],"function":[201],"affects":[202,230],"final":[204],"performance":[205],"algorithms.":[209],"Finally,":[210],"examined":[212],"proposed":[215,241],"additional":[216],"constraint":[217],"preserves":[219],"sum":[221],"estimated":[224],"power":[228],"overall":[232],"system":[233],"performance.":[234],"The":[235],"experimental":[236],"results":[237],"show":[238],"outperforms":[244],"conventional":[246],"with":[249],"approximation.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}