{"id":"https://openalex.org/W2766352194","doi":"https://doi.org/10.23919/eusipco.2017.8081388","title":"Audio/video supervised independent vector analysis through multimodal pilot dependent components","display_name":"Audio/video supervised independent vector analysis through multimodal pilot dependent components","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2766352194","doi":"https://doi.org/10.23919/eusipco.2017.8081388","mag":"2766352194"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081388","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","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/A5056969511","display_name":"Francesco Nesta","orcid":null},"institutions":[{"id":"https://openalex.org/I1322669654","display_name":"Conexant (United States)","ror":"https://ror.org/05rx1xe20","country_code":"US","type":"company","lineage":["https://openalex.org/I1322669654"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francesco Nesta","raw_affiliation_strings":["Conexant Systems, Irvine, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Conexant Systems, Irvine, CA, USA","institution_ids":["https://openalex.org/I1322669654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084128545","display_name":"Saeed Mosayyebpour","orcid":null},"institutions":[{"id":"https://openalex.org/I1322669654","display_name":"Conexant (United States)","ror":"https://ror.org/05rx1xe20","country_code":"US","type":"company","lineage":["https://openalex.org/I1322669654"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saeed Mosayyebpour","raw_affiliation_strings":["Conexant Systems, Irvine, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Conexant Systems, Irvine, CA, USA","institution_ids":["https://openalex.org/I1322669654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040855107","display_name":"Zbyn\u011bk Koldovsk\u00fd","orcid":"https://orcid.org/0000-0002-1791-5675"},"institutions":[{"id":"https://openalex.org/I1322669654","display_name":"Conexant (United States)","ror":"https://ror.org/05rx1xe20","country_code":"US","type":"company","lineage":["https://openalex.org/I1322669654"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zbynek Koldovsky","raw_affiliation_strings":["Conexant Systems, Irvine, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Conexant Systems, Irvine, CA, USA","institution_ids":["https://openalex.org/I1322669654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018875802","display_name":"Karel Pale\u010dek","orcid":"https://orcid.org/0000-0003-0693-6603"},"institutions":[{"id":"https://openalex.org/I147009085","display_name":"Technical University of Liberec","ror":"https://ror.org/02jtk7k02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I147009085"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Karel Palecek","raw_affiliation_strings":["Faculty of Mechatronics, Informatics, and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechatronics, Informatics, and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic","institution_ids":["https://openalex.org/I147009085"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3073,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82298349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1150","last_page":"1164"},"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":0.9998999834060669,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.7557197213172913},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5505651235580444},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5179349780082703},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.495354562997818},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.479495108127594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47651565074920654},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4748280942440033},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4702072739601135},{"id":"https://openalex.org/keywords/broadband","display_name":"Broadband","score":0.45630306005477905},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.45118647813796997},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44959935545921326},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.4462580978870392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42979323863983154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3453176021575928},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2250867486000061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21664434671401978},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.19828787446022034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11818701028823853},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10148581862449646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7557197213172913},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5505651235580444},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5179349780082703},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.495354562997818},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.479495108127594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47651565074920654},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4748280942440033},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4702072739601135},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.45630306005477905},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.45118647813796997},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44959935545921326},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4462580978870392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42979323863983154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3453176021575928},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2250867486000061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21664434671401978},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.19828787446022034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11818701028823853},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10148581862449646},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081388","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","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":22,"referenced_works":["https://openalex.org/W173586667","https://openalex.org/W1539811621","https://openalex.org/W1599294630","https://openalex.org/W2006547268","https://openalex.org/W2046869671","https://openalex.org/W2087681821","https://openalex.org/W2096855653","https://openalex.org/W2105617050","https://openalex.org/W2118648338","https://openalex.org/W2134910060","https://openalex.org/W2140592340","https://openalex.org/W2145700204","https://openalex.org/W2171952424","https://openalex.org/W2234936200","https://openalex.org/W2400273387","https://openalex.org/W2401501362","https://openalex.org/W2435167693","https://openalex.org/W2520476591","https://openalex.org/W2657204326","https://openalex.org/W4249052411","https://openalex.org/W6689959116","https://openalex.org/W6718021652"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2046761971","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460","https://openalex.org/W1785857632"],"abstract_inverted_index":{"Independent":[0],"Vector":[1],"Analysis":[2],"is":[3,98],"a":[4,79,88,110],"powerful":[5],"tool":[6],"for":[7],"estimating":[8],"the":[9,18,21,35,46,53,59,62,94,107],"broadband":[10],"acoustic":[11,76],"transfer":[12],"function":[13],"between":[14],"multiple":[15],"sources":[16],"and":[17,78,117],"microphones":[19],"in":[20,114],"frequency":[22],"domain.":[23],"In":[24],"this":[25,104],"work,":[26],"we":[27],"consider":[28],"an":[29],"extended":[30],"IVA":[31],"model":[32,60],"which":[33],"adopts":[34],"concept":[36],"of":[37,64,109],"pilot":[38,49,90],"dependent":[39,92],"signals.":[40],"Without":[41],"imposing":[42],"any":[43],"constraint":[44],"on":[45,52,75,93],"de-mixing":[47],"system,":[48],"signals":[50],"depending":[51],"target":[54,95,112],"source":[55,113],"are":[56,83],"injected":[57],"into":[58],"enforcing":[61],"permutation":[63],"outputs":[65],"to":[66,86],"be":[67],"consistent":[68],"over":[69],"time.":[70],"A":[71],"neural":[72],"network":[73],"trained":[74],"data":[77],"lip":[80],"motion":[81],"detection":[82],"jointly":[84],"used":[85],"produce":[87],"multimodal":[89],"signal":[91],"source.":[96],"It":[97],"shown":[99],"through":[100],"experimental":[101],"results":[102],"that":[103],"structure":[105],"allows":[106],"enhancement":[108],"predefined":[111],"very":[115],"difficult":[116],"ambiguous":[118],"scenarios.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}