{"id":"https://openalex.org/W1870419488","doi":"https://doi.org/10.1109/ijcnn.2003.1223480","title":"Algebraic independent component analysis: an approach for separation of overcomplete speech mixtures","display_name":"Algebraic independent component analysis: an approach for separation of overcomplete speech mixtures","publication_year":2004,"publication_date":"2004-03-01","ids":{"openalex":"https://openalex.org/W1870419488","doi":"https://doi.org/10.1109/ijcnn.2003.1223480","mag":"1870419488"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5108364605","display_name":"Khurram Waheed","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"K. Waheed","raw_affiliation_strings":["Circuits, Systems and Neural Networks Laboratory, Michigan State University, East Lansing, MI, USA","Lab. of Circuits, Syst. & Neural Networks, Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Circuits, Systems and Neural Networks Laboratory, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Lab. of Circuits, Syst. & Neural Networks, Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048892243","display_name":"F.M. Salem","orcid":"https://orcid.org/0000-0001-9099-5635"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F.M. Salem","raw_affiliation_strings":["Circuits, Systems and Neural Networks Laboratory, Michigan State University, East Lansing, MI, USA","Lab. of Circuits, Syst. & Neural Networks, Michigan State Univ., East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Circuits, Systems and Neural Networks Laboratory, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Lab. of Circuits, Syst. & Neural Networks, Michigan State Univ., East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108364605"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":1.6826,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83885234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"775","last_page":"780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11447","display_name":"Blind Source Separation Techniques","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/T10860","display_name":"Speech and Audio Processing","score":0.9842000007629395,"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":0.9699000120162964,"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/independent-component-analysis","display_name":"Independent component analysis","score":0.7926061749458313},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7190408110618591},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.7020853757858276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453594923019409},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4629451036453247},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.44189196825027466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38556307554244995},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36878058314323425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3501546382904053},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1709427535533905},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0687529444694519},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.057090193033218384}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7926061749458313},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7190408110618591},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.7020853757858276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453594923019409},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4629451036453247},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.44189196825027466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38556307554244995},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36878058314323425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3501546382904053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1709427535533905},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0687529444694519},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.057090193033218384}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1514077900","https://openalex.org/W1517849739","https://openalex.org/W1547424614","https://openalex.org/W1574013546","https://openalex.org/W1582922617","https://openalex.org/W1986931325","https://openalex.org/W2038237443","https://openalex.org/W2045878200","https://openalex.org/W2078204800","https://openalex.org/W2108936969","https://openalex.org/W2124776405","https://openalex.org/W2140499889","https://openalex.org/W2285257517","https://openalex.org/W2292839725","https://openalex.org/W6632994957","https://openalex.org/W6634841892","https://openalex.org/W6646990050","https://openalex.org/W6697272348"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2380536744","https://openalex.org/W2365346975","https://openalex.org/W2360156240","https://openalex.org/W2385132419","https://openalex.org/W2138345383","https://openalex.org/W2186417074","https://openalex.org/W2142308737","https://openalex.org/W1541874989","https://openalex.org/W2152409426"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,108],"novel":[3],"algorithm":[4,21,128],"for":[5,133,150,158],"blind":[6,153],"separation":[7,155],"of":[8,62,69,85,115,125],"sparse":[9,141],"overcomplete":[10,159],"sources":[11],"called":[12],"algebraic":[13,46,71,92,96],"independent":[14],"component":[15],"analysis":[16],"(AICA).":[17],"The":[18,113,127],"proposed":[19,36,91],"AICA":[20,41,64],"is":[22,42,98],"computationally":[23],"more":[24],"efficient":[25],"in":[26,58,79,111,122],"estimating":[27],"blindly":[28],"the":[29,59,63,67,70,74,82,86,90,95,123,145],"mixing":[30],"matrix":[31],"as":[32,144],"compared":[33],"to":[34,55,101],"earlier":[35],"geometric":[37],"ICA":[38,80,87,104,138],"(geo-ICA)":[39],"algorithms.":[40],"based":[43],"entirely":[44],"on":[45],"operations":[47,72],"and":[48,77,136,147],"vector-distance":[49],"measures.":[50],"Firstly,":[51],"these":[52],"choices":[53],"lead":[54],"considerable":[56],"reduction":[57],"computational":[60],"cost":[61],"algorithm.":[65],"Secondly,":[66],"robustness":[68],"against":[73],"inherent":[75],"permutation":[76],"scaling":[78],"simplifies":[81],"performance":[83],"evaluation":[84],"algorithms":[88,117],"using":[89,139],"measure.":[93],"Thirdly,":[94],"framework":[97],"directly":[99],"extendable":[100],"any":[102],"dimensional":[103],"problems":[105],"exhibiting":[106],"only":[107],"linear":[109],"increase":[110],"complexity.":[112],"stability":[114],"similar":[116],"has":[118,129],"been":[119,130],"comprehensively":[120],"studied":[121],"realm":[124],"geo-ICA.":[126],"extensively":[131],"tested":[132],"overcomplete,":[134],"undercomplete":[135],"\"quadratic\"":[137],"unimodal":[140],"distributions":[142],"such":[143],"laplacian":[146],"gamma":[148],"distribution":[149],"speech.":[151],"Illustrative":[152],"source":[154],"simulation":[156],"examples":[157],"speech":[160],"mixtures":[161],"are":[162],"also":[163],"presented.":[164]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
