{"id":"https://openalex.org/W4245862033","doi":"https://doi.org/10.1109/eusipco.2015.7362751","title":"Speaker diarization through speaker embeddings","display_name":"Speaker diarization through speaker embeddings","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W4245862033","doi":"https://doi.org/10.1109/eusipco.2015.7362751"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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/A5071001941","display_name":"Micka\u00ebl Rouvier","orcid":"https://orcid.org/0000-0003-3541-3385"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mickael Rouvier","raw_affiliation_strings":["CNRS, Aix-Marseille Universite, Marseille, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Aix-Marseille Universite, Marseille, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028174466","display_name":"Pierre-Michel Bousquet","orcid":null},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre-Michel Bousquet","raw_affiliation_strings":["Avignon Universite, LIA, Avignon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Avignon Universite, LIA, Avignon, France","institution_ids":["https://openalex.org/I198415970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071505335","display_name":"Beno\u00eet Favre","orcid":"https://orcid.org/0000-0002-9777-4613"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benoit Favre","raw_affiliation_strings":["CNRS, Aix-Marseille Universite, Marseille, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Aix-Marseille Universite, Marseille, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2082","last_page":"2086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9915000200271606,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9904999732971191,"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/speaker-diarisation","display_name":"Speaker diarisation","score":0.9305288791656494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7615634202957153},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.695128321647644},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6625838875770569},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5904372334480286},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5708134174346924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5034312605857849},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4925611615180969},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4739556312561035},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47116169333457947},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.4319719076156616},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1255774199962616}],"concepts":[{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.9305288791656494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615634202957153},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.695128321647644},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6625838875770569},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5904372334480286},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5708134174346924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034312605857849},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4925611615180969},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4739556312561035},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47116169333457947},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.4319719076156616},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1255774199962616},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2015.7362751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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":30,"referenced_works":["https://openalex.org/W48620395","https://openalex.org/W72302491","https://openalex.org/W89560430","https://openalex.org/W111477576","https://openalex.org/W1524333225","https://openalex.org/W1589339348","https://openalex.org/W1831782169","https://openalex.org/W2064364374","https://openalex.org/W2103359087","https://openalex.org/W2121812409","https://openalex.org/W2143694533","https://openalex.org/W2150769028","https://openalex.org/W2158139315","https://openalex.org/W2395069802","https://openalex.org/W2395750323","https://openalex.org/W2397622291","https://openalex.org/W2406312423","https://openalex.org/W2406500670","https://openalex.org/W2901716104","https://openalex.org/W4394650624","https://openalex.org/W6601973230","https://openalex.org/W6602944679","https://openalex.org/W6631362777","https://openalex.org/W6675321185","https://openalex.org/W6683557909","https://openalex.org/W6712094196","https://openalex.org/W6712379007","https://openalex.org/W6713727690","https://openalex.org/W6713752199","https://openalex.org/W6864091772"],"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],"paper":[1],"proposes":[2],"to":[3,15,42,60,68,82],"learn":[4],"a":[5,44,49],"set":[6],"of":[7,33,90,110],"high-level":[8],"feature":[9],"representations":[10],"through":[11,54],"deep":[12],"learning,":[13],"referred":[14],"as":[16,40],"Speaker":[17,22],"Embeddings,":[18],"for":[19,63],"speaker":[20,46,56,64,83,99],"diarization.":[21,84],"Embedding":[23],"features":[24],"are":[25,58],"taken":[26],"from":[27],"the":[28,73,88],"hidden":[29],"layer":[30],"neuron":[31],"activations":[32],"Deep":[34],"Neural":[35],"Networks":[36],"(DNN),":[37],"when":[38],"learned":[39,53],"classifiers":[41],"recognize":[43,69],"thousand":[45],"identities":[47],"in":[48,66,72],"training":[50,74],"set.":[51,75],"Although":[52],"identification,":[55],"embeddings":[57],"shown":[59],"be":[61],"effective":[62],"verification":[65],"particular":[67],"speakers":[70],"unseen":[71],"In":[76],"particular,":[77],"this":[78,97],"approach":[79],"is":[80],"applied":[81],"Experiments,":[85],"conducted":[86],"on":[87],"corpus":[89],"French":[91],"broadcast":[92],"news":[93],"ETAPE,":[94],"show":[95],"that":[96],"new":[98],"modeling":[100],"technique":[101],"decreases":[102],"DER":[103],"by":[104],"1.67":[105],"points":[106],"(a":[107],"relative":[108],"improvement":[109],"about":[111],"8%":[112],"DER).":[113]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}