{"id":"https://openalex.org/W2247371330","doi":"https://doi.org/10.1109/lsp.2015.2509480","title":"Supervised Monaural Speech Enhancement Using Complementary Joint Sparse Representations","display_name":"Supervised Monaural Speech Enhancement Using Complementary Joint Sparse Representations","publication_year":2015,"publication_date":"2015-12-17","ids":{"openalex":"https://openalex.org/W2247371330","doi":"https://doi.org/10.1109/lsp.2015.2509480","mag":"2247371330"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2015.2509480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2509480","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/A5085855456","display_name":"You Xin Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"You Luo","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030672930","display_name":"Guangzhao Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhao Bao","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064110432","display_name":"Yangfei Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangfei Xu","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112927758","display_name":"Zhongfu Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfu Ye","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"National Engineering Laboratory for Speech and Language Information Processing, Hefei, Anhui, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085855456"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.44967376,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90992409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"23","issue":"2","first_page":"237","last_page":"241"},"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":0.9979000091552734,"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":0.9919000267982483,"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/monaural","display_name":"Monaural","score":0.8375986814498901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718254804611206},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.710710883140564},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6348772048950195},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5997875928878784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5887741446495056},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5639345645904541},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5116965770721436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4906517565250397},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.46172019839286804},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4408951997756958},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.42536723613739014},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4106251895427704},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.32319068908691406}],"concepts":[{"id":"https://openalex.org/C102894143","wikidata":"https://www.wikidata.org/wiki/Q1323979","display_name":"Monaural","level":2,"score":0.8375986814498901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718254804611206},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.710710883140564},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6348772048950195},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5997875928878784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5887741446495056},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5639345645904541},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5116965770721436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4906517565250397},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.46172019839286804},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4408951997756958},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.42536723613739014},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4106251895427704},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.32319068908691406},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2015.2509480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2015.2509480","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W53180275","https://openalex.org/W1974387177","https://openalex.org/W1975678038","https://openalex.org/W1995536493","https://openalex.org/W1998648683","https://openalex.org/W1998742693","https://openalex.org/W1999846783","https://openalex.org/W2013608223","https://openalex.org/W2013682896","https://openalex.org/W2015143272","https://openalex.org/W2051057783","https://openalex.org/W2052818671","https://openalex.org/W2060140588","https://openalex.org/W2063978378","https://openalex.org/W2101304342","https://openalex.org/W2109349638","https://openalex.org/W2111854888","https://openalex.org/W2115109087","https://openalex.org/W2121973264","https://openalex.org/W2128653836","https://openalex.org/W2131030892","https://openalex.org/W2144404214","https://openalex.org/W2145760110","https://openalex.org/W2146544734","https://openalex.org/W2167873188","https://openalex.org/W2405716592","https://openalex.org/W2802500184","https://openalex.org/W3147539069","https://openalex.org/W4253928870","https://openalex.org/W6602147522","https://openalex.org/W6751379412"],"related_works":["https://openalex.org/W4375869276","https://openalex.org/W4221152531","https://openalex.org/W3015390914","https://openalex.org/W2810291168","https://openalex.org/W2355125052","https://openalex.org/W2247371330","https://openalex.org/W2076268407","https://openalex.org/W1760305622","https://openalex.org/W2298415660","https://openalex.org/W2102004389"],"abstract_inverted_index":{"Sparse":[0],"representation":[1,32],"is":[2],"one":[3],"of":[4,22,45,48,89,107,109],"the":[5,23,56,64,78,85,93,100,105,110,131],"most":[6],"well-known":[7],"methods":[8,136],"that":[9,43,67,130],"are":[10,74],"applied":[11],"to":[12,18,76,99,121],"monaural":[13],"speech":[14,34,62],"enhancement.":[15],"In":[16],"order":[17],"make":[19],"full":[20],"use":[21],"relationships":[24,73],"among":[25],"speech,":[26],"noise,":[27],"and":[28,61,70],"mixture":[29,60,69],"in":[30],"sparse":[31,50],"for":[33],"enhancement,":[35],"this":[36],"letter":[37],"proposes":[38],"a":[39,46,115],"novel":[40],"sparsity":[41],"model":[42],"consists":[44],"couple":[47],"joint":[49,79],"representations":[51],"(JSRs).":[52],"One":[53],"JSR":[54,95],"uses":[55,66],"mapping":[57],"relationship":[58],"between":[59,68],"while":[63],"other":[65],"noise.":[71,111],"Both":[72],"used":[75],"constrain":[77],"dictionary":[80],"learning,":[81],"which":[82],"effectively":[83],"solves":[84],"source":[86],"confusion":[87],"problem":[88],"traditional":[90],"methods.":[91],"Moreover,":[92],"latter":[94],"can":[96],"be":[97],"complementary":[98,124],"former":[101],"JSR,":[102],"depending":[103],"on":[104],"level":[106],"structure":[108],"Thus,":[112],"we":[113],"propose":[114],"Gini":[116],"index":[117],"based":[118],"weighting":[119],"parameter":[120],"take":[122],"their":[123],"advantages.":[125],"The":[126],"experimental":[127],"results":[128],"show":[129],"proposed":[132],"method":[133],"outperforms":[134],"state-of-the-art":[135],"using":[137],"various":[138],"objective":[139],"measures.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
