{"id":"https://openalex.org/W2057123854","doi":"https://doi.org/10.1109/icassp.2010.5495299","title":"Online Bayesian learning for dynamic source separation","display_name":"Online Bayesian learning for dynamic source separation","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2057123854","doi":"https://doi.org/10.1109/icassp.2010.5495299","mag":"2057123854"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042008682","display_name":"Hsin-Lung Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Lung Hsieh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1950","last_page":"1953"},"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":0.9934999942779541,"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/T10320","display_name":"Neural Networks and Applications","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/blind-signal-separation","display_name":"Blind signal separation","score":0.7952709794044495},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7202466726303101},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6988306641578674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6885619163513184},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6741248369216919},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5750770568847656},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5155184268951416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4691530466079712},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39109569787979126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3798799216747284},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3300526738166809},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07999643683433533}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7952709794044495},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7202466726303101},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6988306641578674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6885619163513184},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6741248369216919},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5750770568847656},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5155184268951416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4691530466079712},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39109569787979126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3798799216747284},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3300526738166809},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07999643683433533},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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":14,"referenced_works":["https://openalex.org/W19001067","https://openalex.org/W129590842","https://openalex.org/W1516111018","https://openalex.org/W2039732526","https://openalex.org/W2080467963","https://openalex.org/W2139701068","https://openalex.org/W2139890545","https://openalex.org/W2143346977","https://openalex.org/W2277686542","https://openalex.org/W4244577065","https://openalex.org/W4285719527","https://openalex.org/W6600816123","https://openalex.org/W6605244726","https://openalex.org/W6695288955"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2046761971","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W2553224454","https://openalex.org/W1503525627"],"abstract_inverted_index":{"Independent":[0],"component":[1],"analysis":[2],"(ICA)":[3],"is":[4,86,103,116],"a":[5,54],"popular":[6],"approach":[7],"for":[8,57],"blind":[9],"source":[10,14,24,33,59,131],"separation":[11,60],"when":[12],"the":[13,23,32,42,72,79,96,107,123,125,130],"signals":[15,25,34,133],"are":[16,26],"stationary":[17],"with":[18],"fixed":[19],"distribution":[20],"functions.":[21],"However,":[22],"nonstationary":[27,55,108],"in":[28,137],"real-world":[29],"applications,":[30],"e.g.":[31],"may":[35,46],"abruptly":[36],"appear":[37],"or":[38,40],"disappear":[39],"even":[41],"number":[43,112],"of":[44,75,113,139],"sources":[45,77,115],"be":[47],"changed":[48],"by":[49],"time.":[50],"This":[51],"study":[52],"presents":[53],"ICA":[56,109],"dynamic":[58],"through":[61],"an":[62],"online":[63,80],"Bayesian":[64,101],"learning":[65],"procedure.":[66],"In":[67,122],"this":[68],"procedure,":[69],"we":[70],"capture":[71],"evolved":[73],"statistics":[74],"independent":[76],"from":[78,134],"observed":[81],"signals.":[82],"The":[83,111],"mixing":[84,141],"matrix":[85],"incrementally":[87],"compensated":[88],"at":[89,119],"each":[90,120],"frame":[91],"and":[92],"continuously":[93],"propagated":[94],"to":[95,105],"next":[97],"frame.":[98,121],"A":[99],"variational":[100],"algorithm":[102],"established":[104],"estimate":[106],"parameters.":[110],"latent":[114],"automatically":[117],"determined":[118],"experiments,":[124],"proposed":[126],"method":[127],"effectively":[128],"recovers":[129],"speech":[132],"different":[135,140],"speakers":[136],"presence":[138],"scenarios.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}