{"id":"https://openalex.org/W2402500491","doi":"https://doi.org/10.1109/icassp.2016.7472723","title":"Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification","display_name":"Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2402500491","doi":"https://doi.org/10.1109/icassp.2016.7472723","mag":"2402500491"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":null,"display_name":"Romain Serizel","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Romain Serizel","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris - Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris - Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060031161","display_name":"Slim Essid","orcid":"https://orcid.org/0000-0002-0028-327X"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Slim Essid","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris - Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris - Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055423112","display_name":"Ga\u00ebl Richard","orcid":"https://orcid.org/0000-0002-4960-0010"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gael Richard","raw_affiliation_strings":["LTCI, Universit\u00e9 Paris - Saclay, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, Universit\u00e9 Paris - Saclay, Paris, France","institution_ids":["https://openalex.org/I277688954","https://openalex.org/I4210165912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"401","issue":null,"first_page":"5470","last_page":"5474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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":0.9904000163078308,"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/speaker-recognition","display_name":"Speaker recognition","score":0.8240491151809692},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6712588667869568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6645872592926025},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6123875379562378},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5942452549934387},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5772857069969177},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.560699462890625},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.521628201007843},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.51954585313797},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.519207775592804},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5150361061096191},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.5138566493988037},{"id":"https://openalex.org/keywords/identity-matrix","display_name":"Identity matrix","score":0.49557292461395264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46769097447395325},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.45390617847442627},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.44270074367523193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4344819188117981},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4281442165374756},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4275899827480316},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26709479093551636},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.159650057554245}],"concepts":[{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.8240491151809692},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6712588667869568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645872592926025},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6123875379562378},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5942452549934387},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5772857069969177},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.560699462890625},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.521628201007843},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.51954585313797},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.519207775592804},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5150361061096191},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.5138566493988037},{"id":"https://openalex.org/C134567657","wikidata":"https://www.wikidata.org/wiki/Q193794","display_name":"Identity matrix","level":3,"score":0.49557292461395264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46769097447395325},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.45390617847442627},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.44270074367523193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4344819188117981},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4281442165374756},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4275899827480316},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26709479093551636},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.159650057554245},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W147600081","https://openalex.org/W1506961468","https://openalex.org/W1589339348","https://openalex.org/W1606347560","https://openalex.org/W1854811422","https://openalex.org/W1902027874","https://openalex.org/W1965555277","https://openalex.org/W1973733387","https://openalex.org/W1987389174","https://openalex.org/W2084413241","https://openalex.org/W2101234009","https://openalex.org/W2107638917","https://openalex.org/W2114508388","https://openalex.org/W2121812409","https://openalex.org/W2135029798","https://openalex.org/W2137089646","https://openalex.org/W2148154194","https://openalex.org/W2150769028","https://openalex.org/W2295300449","https://openalex.org/W2395750323","https://openalex.org/W2399491141","https://openalex.org/W2401027203","https://openalex.org/W2406415535","https://openalex.org/W2530593441","https://openalex.org/W2917756095","https://openalex.org/W2941689885","https://openalex.org/W4298164478","https://openalex.org/W6605949115","https://openalex.org/W6635144179","https://openalex.org/W6636358008","https://openalex.org/W6639041367","https://openalex.org/W6675354045","https://openalex.org/W6680012447","https://openalex.org/W6696886941","https://openalex.org/W6712719231","https://openalex.org/W6713604029","https://openalex.org/W6728390481","https://openalex.org/W6760207327"],"related_works":["https://openalex.org/W2206035908","https://openalex.org/W4318225096","https://openalex.org/W4234190324","https://openalex.org/W2545131480","https://openalex.org/W4401661962","https://openalex.org/W1521049138","https://openalex.org/W4247736853","https://openalex.org/W2997340161","https://openalex.org/W1964028329","https://openalex.org/W2136038945"],"abstract_inverted_index":{"This":[0,72],"paper":[1,73],"presents":[2],"a":[3,54,75,112],"feature":[4],"learning":[5],"approach":[6,63,98,119],"for":[7],"speaker":[8,32,42,70,104],"identification":[9],"that":[10,21,64,77,85,116],"is":[11,53,65,86],"based":[12],"on":[13,41,46,79,111],"nonnegative":[14,81],"matrix":[15,82],"factorisation.":[16],"Recent":[17],"studies":[18],"have":[19],"shown":[20],"with":[22,123],"such":[23],"models,":[24],"the":[25,31,58,61,67,89,96,103,107,117],"dictionary":[26],"atoms":[27],"can":[28,120],"represent":[29],"well":[30],"identity.":[33],"The":[34],"approaches":[35],"proposed":[36,97,118],"so":[37,95],"far":[38],"focused":[39],"only":[40],"variability":[43,105],"and":[44,84,106],"not":[45],"session":[47,108],"variability.":[48,109],"However,":[49],"this":[50],"later":[51],"point":[52],"crucial":[55],"aspect":[56],"in":[57,69],"success":[59],"of":[60],"I-vector":[62,90],"now":[66],"state-of-the-art":[68],"identification.":[71],"proposes":[74],"method":[76],"relies":[78],"group":[80],"factorisation":[83],"inspired":[87],"by":[88],"training":[91],"procedure.":[92],"By":[93],"doing":[94],"intends":[99],"to":[100],"capture":[101],"both":[102],"Results":[110],"small":[113],"corpus":[114],"prove":[115],"be":[121],"competitive":[122],"I-vectors.":[124]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
