{"id":"https://openalex.org/W2157173106","doi":"https://doi.org/10.1109/icassp.2012.6288402","title":"A robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors","display_name":"A robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2157173106","doi":"https://doi.org/10.1109/icassp.2012.6288402","mag":"2157173106"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5043971570","display_name":"Ingrid Jafari","orcid":null},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ingrid Jafari","raw_affiliation_strings":["School of EEC Engineering, University of Western Australia, Australia"],"affiliations":[{"raw_affiliation_string":"School of EEC Engineering, University of Western Australia, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017213156","display_name":"Roberto Togneri","orcid":"https://orcid.org/0000-0002-3778-4633"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Roberto Togneri","raw_affiliation_strings":["School of EEC Engineering, University of Western Australia, Australia"],"affiliations":[{"raw_affiliation_string":"School of EEC Engineering, University of Western Australia, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023874572","display_name":"Sven Nordholm","orcid":"https://orcid.org/0000-0001-8942-5328"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sven Nordholm","raw_affiliation_strings":["Department of EC Engineering, Curtin University of Technology, Australia"],"affiliations":[{"raw_affiliation_string":"Department of EC Engineering, Curtin University of Technology, Australia","institution_ids":["https://openalex.org/I205640436"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043971570"],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":null,"apc_paid":null,"fwci":0.4953,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69419347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"87","issue":null,"first_page":"2413","last_page":"2416"},"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/T11447","display_name":"Blind Source Separation Techniques","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/T11309","display_name":"Music and Audio Processing","score":0.9948999881744385,"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/reverberation","display_name":"Reverberation","score":0.8987048864364624},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7016661167144775},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6662442684173584},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6558887362480164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6502664089202881},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.629798173904419},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6230324506759644},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.6202566623687744},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5529614686965942},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4631902873516083},{"id":"https://openalex.org/keywords/broadband","display_name":"Broadband","score":0.4144345223903656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.284950315952301},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12050336599349976},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09805676341056824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0714186429977417}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.8987048864364624},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7016661167144775},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6662442684173584},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6558887362480164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502664089202881},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.629798173904419},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6230324506759644},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6202566623687744},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5529614686965942},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4631902873516083},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.4144345223903656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.284950315952301},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12050336599349976},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09805676341056824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0714186429977417},{"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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2012.6288402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/6c6c1231-c970-453a-afff-f250dfa6be7b","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/6c6c1231-c970-453a-afff-f250dfa6be7b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Jafari, I, Togneri, R & Nordholm, S 2012, A robust approach to reverberant blind source separation in the presence of noise for arbitrarily arranged sensors. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 2413-2416, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, 25/03/12.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/18549","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/18549","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W165956390","https://openalex.org/W1495679096","https://openalex.org/W1520628010","https://openalex.org/W1928980981","https://openalex.org/W1981463705","https://openalex.org/W1987906574","https://openalex.org/W1991139021","https://openalex.org/W2008638560","https://openalex.org/W2022767789","https://openalex.org/W2067584370","https://openalex.org/W2077626982","https://openalex.org/W2102995235","https://openalex.org/W2113076747","https://openalex.org/W2124318288","https://openalex.org/W2127851351","https://openalex.org/W2147585306","https://openalex.org/W4245919820","https://openalex.org/W6631322465"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W3024816962","https://openalex.org/W973023320","https://openalex.org/W1910172735","https://openalex.org/W2118307209","https://openalex.org/W2107364365","https://openalex.org/W2539388437","https://openalex.org/W2107688514","https://openalex.org/W2137288760"],"abstract_inverted_index":{"Considerable":[0],"attention":[1],"has":[2],"been":[3],"devoted":[4],"to":[5,33,62],"the":[6,14,81,90,109],"reverberant":[7,95],"blind":[8,96],"source":[9,97],"separation":[10,50],"problem:":[11],"in":[12,51,75,80,108],"particular,":[13],"concept":[15],"of":[16,44,105,111],"time-frequency":[17,46,69],"masking.":[18],"However,":[19],"realistic":[20,53],"acoustic":[21],"scenarios":[22],"often":[23],"comprise":[24],"not":[25],"only":[26,86],"reverberation,":[27],"but":[28,99],"also":[29,100],"additive":[30,112],"noise":[31],"due":[32],"factors":[34],"such":[35,52],"as":[36,101],"non-ideal":[37],"channels.":[38],"This":[39],"paper":[40],"presents":[41],"robust":[42],"evaluations":[43],"a":[45,68,102],"masking":[47],"approach":[48],"for":[49,94],"conditions.":[54],"The":[55],"fuzzy":[56],"c-means":[57],"clustering":[58],"algorithm":[59],"is":[60],"used":[61],"cluster":[63],"spatial":[64],"feature":[65],"cues":[66],"into":[67],"mask.":[70],"Experimental":[71],"results":[72],"demonstrated":[73],"superiority":[74],"separation,":[76,98],"with":[77],"notable":[78],"improvements":[79],"SNR":[82],"additionally":[83],"observed.":[84],"Not":[85],"does":[87],"this":[88],"establish":[89],"proposed":[91],"scheme":[92],"viable":[93],"credible":[103],"means":[104],"speech":[106],"enhancement":[107],"presence":[110],"broadband":[113],"noise.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
