{"id":"https://openalex.org/W4226379986","doi":"https://doi.org/10.1109/iske54062.2021.9755387","title":"Musical Noise Reduction Method Based on MMSE Combined with Wiener Filtering","display_name":"Musical Noise Reduction Method Based on MMSE Combined with Wiener Filtering","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4226379986","doi":"https://doi.org/10.1109/iske54062.2021.9755387"},"language":"en","primary_location":{"id":"doi:10.1109/iske54062.2021.9755387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske54062.2021.9755387","pdf_url":null,"source":{"id":"https://openalex.org/S4363608381","display_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5085618437","display_name":"Qiujuan Tong","orcid":"https://orcid.org/0000-0001-8231-8562"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiujuan Tong","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Science,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Science,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007061277","display_name":"Huan Han","orcid":"https://orcid.org/0000-0002-6334-4738"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Han","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Telecommunication and Information Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Telecommunication and Information Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111872114","display_name":"Lu Huang","orcid":"https://orcid.org/0000-0002-1211-5441"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Huang","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Telecommunication and Information Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Telecommunication and Information Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084169778","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-0064-3551"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Xi&#x2019;an University of Posts and Telecommunications,School of Telecommunication and Information Engineering,Xi&#x2019;an,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an University of Posts and Telecommunications,School of Telecommunication and Information Engineering,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085618437"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.172,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46608462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"624","last_page":"628"},"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/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"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":0.9976999759674072,"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/pesq","display_name":"PESQ","score":0.9373989105224609},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.7050039768218994},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.6685751676559448},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6517261862754822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139336824417114},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.5416674017906189},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5246725082397461},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5034770369529724},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4911949336528778},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4275549650192261},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4143396317958832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31152647733688354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2386264204978943},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20907562971115112}],"concepts":[{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.9373989105224609},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.7050039768218994},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.6685751676559448},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6517261862754822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139336824417114},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5416674017906189},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5246725082397461},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5034770369529724},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4911949336528778},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4275549650192261},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4143396317958832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31152647733688354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2386264204978943},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20907562971115112},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske54062.2021.9755387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske54062.2021.9755387","pdf_url":null,"source":{"id":"https://openalex.org/S4363608381","display_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2051428568","https://openalex.org/W2111669290","https://openalex.org/W2128653836","https://openalex.org/W2144404214","https://openalex.org/W2147299274","https://openalex.org/W2154066856","https://openalex.org/W2560174002","https://openalex.org/W2790542001","https://openalex.org/W3016478097","https://openalex.org/W6749090358"],"related_works":["https://openalex.org/W3016109656","https://openalex.org/W2342810974","https://openalex.org/W2058482658","https://openalex.org/W2513767140","https://openalex.org/W1973895194","https://openalex.org/W3135613579","https://openalex.org/W2106793170","https://openalex.org/W2037635165","https://openalex.org/W2129816539","https://openalex.org/W4312751558"],"abstract_inverted_index":{"The":[0,106],"purpose":[1],"of":[2,18,54,77,84,95,109,112],"this":[3],"paper":[4],"is":[5,59,65,102],"to":[6,35,45,91],"reduce":[7],"the":[8,22,26,51,55,62,69,78,81,85,93,96,99,128,132,137],"distortion":[9],"caused":[10],"by":[11,67,75],"musical":[12,133],"noise":[13,129],"and":[14,25,61,116,135,140],"inaccurate":[15],"phase":[16,52,82],"estimation":[17,31,111],"pure":[19,70],"signal.":[20,88],"Firstly,":[21],"Wiener":[23],"filter":[24],"minimum":[27],"square":[28],"error":[29],"(MMSE)":[30],"in":[32,42],"series":[33],"connection":[34],"construct":[36],"a":[37],"two-stage":[38],"hybrid":[39],"system":[40,79],"(W-MMSE)":[41],"frequency":[43],"domain":[44],"obtain":[46],"superior":[47],"gain":[48],"function.":[49],"Then,":[50],"spectrum":[53,73,83],"noisy":[56,87],"speech":[57,71,113,138],"signal":[58,64],"reconstructed,":[60],"expected":[63],"recovered":[66],"combining":[68],"amplitude":[72],"estimated":[74],"means":[76],"with":[80],"reconstructed":[86],"In":[89],"order":[90],"evaluate":[92],"performance":[94],"proposed":[97],"method,":[98],"NOIZEUS":[100],"dataset":[101],"used":[103],"for":[104],"simulation.":[105],"objective":[107],"experiments":[108],"perceptual":[110],"quality":[114,139],"(PESQ)":[115],"log":[117],"likelihood":[118],"ratio":[119],"(LLR)":[120],"have":[121],"proved":[122],"that":[123],"W-MMSE":[124],"can":[125],"substantially":[126],"suppress":[127],"signal,":[130],"eliminate":[131],"noise,":[134],"improve":[136],"intelligibility.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
