{"id":"https://openalex.org/W2131543357","doi":"https://doi.org/10.1109/isspa.2005.1580189","title":"Blind separation of convolutive mixtures of speech signals using linear combination model","display_name":"Blind separation of convolutive mixtures of speech signals using linear combination model","publication_year":2006,"publication_date":"2006-10-04","ids":{"openalex":"https://openalex.org/W2131543357","doi":"https://doi.org/10.1109/isspa.2005.1580189","mag":"2131543357"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2005.1580189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2005.1580189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","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/A5019503010","display_name":"Masashi Ohata","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M. Ohata","raw_affiliation_strings":["Biologically Integrative Sensors Laboratory, Bio-mimetic Control Research Center, RIKEN, Japan"],"affiliations":[{"raw_affiliation_string":"Biologically Integrative Sensors Laboratory, Bio-mimetic Control Research Center, RIKEN, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053662053","display_name":"Toshiharu Mukai","orcid":"https://orcid.org/0000-0001-5667-8054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Mukai","raw_affiliation_strings":["Biologically Integrative Sensors Laboratory, Bio-mimetic Control Research Center, RIKEN, Japan"],"affiliations":[{"raw_affiliation_string":"Biologically Integrative Sensors Laboratory, Bio-mimetic Control Research Center, RIKEN, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111508778","display_name":"Kiyotoshi Matsuoka","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Matsuoka","raw_affiliation_strings":["Department of Brain Science and Engineering, Kyushu Institute of Technology, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Brain Science and Engineering, Kyushu Institute of Technology, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019503010"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18104414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"33","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9650999903678894,"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/separation","display_name":"Separation (statistics)","score":0.6602763533592224},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6229565143585205},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6111809611320496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5983062386512756},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4172680079936981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09646552801132202},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09581685066223145},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.07094261050224304}],"concepts":[{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6602763533592224},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6229565143585205},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6111809611320496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5983062386512756},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4172680079936981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09646552801132202},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09581685066223145},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.07094261050224304}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2005.1580189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2005.1580189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1970789124","https://openalex.org/W2123955637","https://openalex.org/W2126325844","https://openalex.org/W2540419083"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W1910172735","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W2113403277","https://openalex.org/W2137288760","https://openalex.org/W2889447638","https://openalex.org/W2539388437","https://openalex.org/W1785857632"],"abstract_inverted_index":{"In":[0,42],"this":[1],"paper,":[2],"we":[3,48],"propose":[4],"a":[5,50,80,96],"blind":[6],"separation":[7,110],"algorithm":[8,73,87,107],"for":[9],"convolutive":[10,89],"mixture":[11],"of":[12,18,27,40,92,101],"source":[13],"signals":[14],"on":[15],"the":[16,19,28,35,46,57,76,86],"basis":[17],"information-theoretical":[20],"approach.":[21],"This":[22],"approach":[23],"requires":[24],"distribution":[25,51],"models":[26,36],"sources.":[29,41],"It":[30],"is":[31],"difficult":[32],"to":[33,44,67,88],"select":[34],"without":[37],"prior":[38],"knowledge":[39],"order":[43],"resolve":[45],"difficulty,":[47],"introduce":[49],"model":[52,59],"with":[53],"parameters.":[54],"We":[55,84],"construct":[56],"parametric":[58],"by":[60],"linearly":[61],"combining":[62],"two":[63,93],"density":[64],"functions":[65],"corresponding":[66],"sub-":[68],"and":[69,78],"super-Gaussian":[70],"distributions.":[71],"Our":[72],"adaptively":[74],"estimates":[75],"parameters":[77],"designs":[79],"separat-":[81],"ing":[82],"filter.":[83],"applied":[85],"mix-":[90],"tures":[91],"speeches":[94],"in":[95],"real":[97],"environment.":[98],"The":[99],"result":[100],"our":[102,106],"experiments":[103],"shows":[104],"that":[105],"can":[108],"improve":[109],"performance.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
