{"id":"https://openalex.org/W3183311551","doi":"https://doi.org/10.1186/s13636-021-00218-3","title":"Single-channel speech enhancement based on joint constrained dictionary learning","display_name":"Single-channel speech enhancement based on joint constrained dictionary learning","publication_year":2021,"publication_date":"2021-07-27","ids":{"openalex":"https://openalex.org/W3183311551","doi":"https://doi.org/10.1186/s13636-021-00218-3","mag":"3183311551"},"language":"en","primary_location":{"id":"doi:10.1186/s13636-021-00218-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-021-00218-3","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-021-00218-3","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-021-00218-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072449701","display_name":"Linhui Sun","orcid":"https://orcid.org/0000-0001-9442-9964"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linhui Sun","raw_affiliation_strings":["College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9442-9964","affiliations":[{"raw_affiliation_string":"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063144748","display_name":"Yunyi Bu","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyi Bu","raw_affiliation_strings":["College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054208428","display_name":"Pingan Li","orcid":"https://orcid.org/0000-0002-1994-9596"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingan Li","raw_affiliation_strings":["College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014103963","display_name":"Zihao Wu","orcid":"https://orcid.org/0000-0003-3561-5403"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Wu","raw_affiliation_strings":["College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072449701"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":1635,"currency":"USD","value_usd":1635},"apc_paid":{"value":1635,"currency":"USD","value_usd":1635},"fwci":0.6983,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68772993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9958999752998352,"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/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":0.875954270362854},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6749054193496704},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6338903903961182},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.5528843998908997},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5221215486526489},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.4761628806591034},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44789087772369385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4443441331386566},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4432690441608429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43479055166244507},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4267261028289795},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41960686445236206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.875954270362854},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6749054193496704},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6338903903961182},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5528843998908997},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5221215486526489},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.4761628806591034},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44789087772369385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4443441331386566},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4432690441608429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43479055166244507},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4267261028289795},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41960686445236206},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13636-021-00218-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-021-00218-3","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-021-00218-3","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8988f908fac34bd4ae77bec2d751ad6e","is_oa":true,"landing_page_url":"https://doaj.org/article/8988f908fac34bd4ae77bec2d751ad6e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-14 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13636-021-00218-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-021-00218-3","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-021-00218-3","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2535026932","display_name":"\u8bed\u97f3\u7684\u56fe\u4fe1\u53f7\u5904\u7406\u7406\u8bba\u4e0e\u6280\u672f\u7814\u7a76","funder_award_id":"62071242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3922211573","display_name":null,"funder_award_id":"No.61901227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G554678874","display_name":null,"funder_award_id":"61901227","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3183311551.pdf","grobid_xml":"https://content.openalex.org/works/W3183311551.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1972312031","https://openalex.org/W1973136739","https://openalex.org/W1979181830","https://openalex.org/W2013608223","https://openalex.org/W2033481590","https://openalex.org/W2052818671","https://openalex.org/W2083493778","https://openalex.org/W2088844072","https://openalex.org/W2160547390","https://openalex.org/W2163398148","https://openalex.org/W2168779736","https://openalex.org/W2344317287","https://openalex.org/W2376844775","https://openalex.org/W2529943390","https://openalex.org/W2675954008","https://openalex.org/W2747006289","https://openalex.org/W2765973282","https://openalex.org/W2770424412","https://openalex.org/W2887067836","https://openalex.org/W2903267004","https://openalex.org/W2973934059","https://openalex.org/W2999154483","https://openalex.org/W3007348697","https://openalex.org/W3016478097"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W1986772939","https://openalex.org/W2037635165","https://openalex.org/W2738829087","https://openalex.org/W2542062716","https://openalex.org/W1505346162","https://openalex.org/W4200562864"],"abstract_inverted_index":{"Abstract":[0],"To":[1],"improve":[2],"the":[3,27,34,38,40,47,51,55,60,64,71,77,82,85,89,96,103,109,114,121,129,134,141,146,151,166],"performance":[4,164],"of":[5,31,50,63,98,120,133,150,192],"speech":[6,21,65,116,118,131,153,167,193],"enhancement":[7,22,168],"in":[8,33,54,182],"a":[9,13],"complex":[10],"noise":[11,68,142,177,180],"environment,":[12],"joint":[14,35,56,104,135],"constrained":[15],"dictionary":[16,105,136,173],"learning":[17,174],"method":[18,110],"for":[19],"single-channel":[20,115],"is":[23,111],"proposed,":[24],"which":[25,144],"solves":[26],"\u201ccross":[28],"projection\u201d":[29],"problem":[30],"signals":[32],"dictionary.":[36],"In":[37,87],"method,":[39],"new":[41],"optimization":[42],"function":[43],"not":[44],"only":[45],"constrains":[46],"sparse":[48],"representation":[49],"noisy":[52,122],"signal":[53,66,69,123],"dictionary,":[57],"and":[58,67,81,148,178,195],"controls":[59],"projection":[61,79],"error":[62,80],"on":[70,171],"corresponding":[72],"sub-dictionary,":[73,143],"but":[74],"also":[75],"minimizes":[76],"cross":[78],"correlation":[83],"between":[84],"sub-dictionaries.":[86],"addition,":[88],"adjustment":[90],"factors":[91],"are":[92],"introduced":[93],"to":[94,101,113],"balance":[95],"weight":[97],"constraint":[99],"terms":[100],"obtain":[102],"more":[106,126],"discriminatively.":[107],"When":[108],"applied":[112],"enhancement,":[117],"components":[119],"can":[124],"be":[125],"projected":[127],"onto":[128],"clean":[130],"sub-dictionary":[132],"without":[137],"being":[138],"affected":[139],"by":[140],"makes":[145],"quality":[147],"intelligibility":[149],"enhanced":[152],"higher.":[154],"The":[155],"experimental":[156],"results":[157],"verify":[158],"that":[159],"our":[160],"algorithm":[161,169],"has":[162],"better":[163],"than":[165],"based":[170],"discriminative":[172],"under":[175],"white":[176],"colored":[179],"environments":[181],"time":[183],"domain":[184],"waveform,":[185],"spectrogram,":[186],"global":[187],"signal-to-noise":[188],"ratio,":[189],"subjective":[190],"evaluation":[191],"quality,":[194],"logarithmic":[196],"spectrum":[197],"distance.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}