{"id":"https://openalex.org/W4312505539","doi":"https://doi.org/10.1109/mmsp55362.2022.9949527","title":"Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation","display_name":"Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4312505539","doi":"https://doi.org/10.1109/mmsp55362.2022.9949527"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9949527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949527","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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/A5018593526","display_name":"Mostafa Bella","orcid":"https://orcid.org/0000-0002-6406-4789"},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Mostafa Bella","raw_affiliation_strings":["Universit&#x00E9; Ibn Zohr,LETSMP, Facult&#x00E9; des Sciences,Agadir,Maroc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Ibn Zohr,LETSMP, Facult&#x00E9; des Sciences,Agadir,Maroc","institution_ids":["https://openalex.org/I4210088687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067863780","display_name":"Hicham Saylani","orcid":"https://orcid.org/0009-0006-6918-4460"},"institutions":[{"id":"https://openalex.org/I4210088687","display_name":"Universit\u00e9 Ibn Zohr","ror":"https://ror.org/006sgpv47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210088687"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hicham Saylani","raw_affiliation_strings":["Universit&#x00E9; Ibn Zohr,LETSMP, Facult&#x00E9; des Sciences,Agadir,Maroc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Ibn Zohr,LETSMP, Facult&#x00E9; des Sciences,Agadir,Maroc","institution_ids":["https://openalex.org/I4210088687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103856758","display_name":"Shahram Hosseini","orcid":"https://orcid.org/0009-0007-0597-1147"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Shahram Hosseini","raw_affiliation_strings":["IRAP, Universit&#x00E9; de Toulouse, UPS, CNRS, CNES,Belin,Toulouse,France,31400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRAP, Universit&#x00E9; de Toulouse, UPS, CNRS, CNES,Belin,Toulouse,France,31400","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I134560555","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079357805","display_name":"Yannick Deville","orcid":"https://orcid.org/0000-0002-8769-2446"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]},{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Deville","raw_affiliation_strings":["IRAP, Universit&#x00E9; de Toulouse, UPS, CNRS, CNES,Belin,Toulouse,France,31400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRAP, Universit&#x00E9; de Toulouse, UPS, CNRS, CNES,Belin,Toulouse,France,31400","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I134560555","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018593526"],"corresponding_institution_ids":["https://openalex.org/I4210088687"],"apc_list":null,"apc_paid":null,"fwci":0.2429,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42241108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"6"},"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":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7800334692001343},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.7531176805496216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7379348278045654},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.7082537412643433},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6387067437171936},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.5722855925559998},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49842381477355957},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.47032105922698975},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4614502191543579},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.44579342007637024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40262699127197266},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37543362379074097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32685327529907227},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09216129779815674},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07784336805343628}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7800334692001343},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7531176805496216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379348278045654},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.7082537412643433},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6387067437171936},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.5722855925559998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49842381477355957},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.47032105922698975},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4614502191543579},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.44579342007637024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40262699127197266},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37543362379074097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32685327529907227},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09216129779815674},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07784336805343628},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9949527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949527","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04939822v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04939822","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Xplore, 2022, pp.1-6. &#x27E8;10.1109/MMSP55362.2022.9949527&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1972276221","https://openalex.org/W1981463705","https://openalex.org/W2003203076","https://openalex.org/W2031583051","https://openalex.org/W2043216213","https://openalex.org/W2066218102","https://openalex.org/W2067584370","https://openalex.org/W2127851351","https://openalex.org/W2130780554","https://openalex.org/W2153559763","https://openalex.org/W2398042854","https://openalex.org/W2403319665","https://openalex.org/W2586584460","https://openalex.org/W2588196524","https://openalex.org/W2793272123","https://openalex.org/W2902777576","https://openalex.org/W2980719705","https://openalex.org/W3041208654","https://openalex.org/W3173852682","https://openalex.org/W3214500491","https://openalex.org/W4205165818"],"related_works":["https://openalex.org/W2383973401","https://openalex.org/W2034312940","https://openalex.org/W2351680970","https://openalex.org/W2095924515","https://openalex.org/W2030887432","https://openalex.org/W2900617041","https://openalex.org/W2206857820","https://openalex.org/W2375962929","https://openalex.org/W2006085665","https://openalex.org/W2113403277"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,123,135],"new":[4,112,124,136],"Blind":[5],"Source":[6],"Separation":[7],"(BSS)":[8],"method":[9,30,158],"for":[10,126,156],"convolutive":[11],"mixtures":[12],"that":[13,104,138],"can":[14,70,139],"be":[15,140],"underdeter-mined.":[16],"Exploiting":[17],"the":[18,21,25,38,52,62,66,75,80,98,118,146,172],"sparsity":[19],"of":[20,148,167],"source":[22],"signals":[23],"in":[24,51,74,145,165,171],"Time-Frequency":[26],"(TF)":[27],"domain,":[28],"this":[29],"combines":[31],"TF":[32,45,108],"masking":[33,46],"and":[34,122,174],"beamforming.":[35],"Indeed,":[36],"on":[37,44],"one":[39],"hand,":[40,68],"BSS":[41],"methods":[42,103],"based":[43],"achieve":[47,71],"remarkable":[48],"performance":[49,73,155],"even":[50],"underdeter-mined":[53],"case,":[54],"however":[55],"they":[56],"tend":[57],"to":[58,91,116,142,160],"cause":[59],"artifacts":[60],"at":[61],"separated":[63],"sources.":[64],"On":[65],"other":[67],"beamforming":[69,106],"good":[72,154],"(over)-determined":[76],"case":[77,147],"without":[78],"distorting":[79],"estimated":[81],"signals.":[82],"Therefore,":[83],"combining":[84],"these":[85,129],"two":[86],"techniques":[87],"makes":[88],"it":[89],"possible":[90],"benefit":[92],"from":[93],"both":[94,170],"their":[95],"advantages.":[96],"In":[97,131],"proposed":[99],"method,":[100],"unlike":[101],"existing":[102,162],"use":[105],"with":[107],"masking,":[109],"we":[110,133],"introduce":[111],"normalized":[113],"directional":[114],"vectors":[115],"generate":[117],"different":[119],"beamformers":[120],"involved,":[121],"way":[125],"better":[127],"estimating":[128],"vectors.":[130],"addition,":[132],"propose":[134],"technique":[137],"used":[141],"separate":[143],"sources":[144],"underdetermined":[149,175],"mixtures.":[150],"Test":[151],"results":[152],"showed":[153],"our":[157],"compared":[159],"various":[161],"methods,":[163],"similar":[164],"terms":[166],"working":[168],"hypotheses,":[169],"determined":[173],"cases.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}
