{"id":"https://openalex.org/W2138245507","doi":"https://doi.org/10.21437/interspeech.2004-248","title":"Scoring unknown speaker clustering : VB vs. BIC","display_name":"Scoring unknown speaker clustering : VB vs. BIC","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W2138245507","doi":"https://doi.org/10.21437/interspeech.2004-248","mag":"2138245507"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-248","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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/A5061495800","display_name":"Fabio Valente","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fabio Valente","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108525230","display_name":"C. Wellekens","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Wellekens","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061495800"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9243,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82201901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9968000054359436,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9968000054359436,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9941999912261963,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9340999722480774,"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/bayesian-information-criterion","display_name":"Bayesian information criterion","score":0.8606164455413818},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7933663725852966},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7670971155166626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131858825683594},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5969584584236145},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.569491446018219},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5500015616416931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5434534549713135},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47994592785835266},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4601280391216278},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.45485806465148926},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.45354193449020386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4424903988838196},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40216532349586487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38013696670532227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33464211225509644}],"concepts":[{"id":"https://openalex.org/C168136583","wikidata":"https://www.wikidata.org/wiki/Q1988242","display_name":"Bayesian information criterion","level":2,"score":0.8606164455413818},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7933663725852966},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7670971155166626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131858825683594},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5969584584236145},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.569491446018219},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5500015616416931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5434534549713135},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47994592785835266},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4601280391216278},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.45485806465148926},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.45354193449020386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4424903988838196},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40216532349586487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38013696670532227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33464211225509644},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2004-248","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.466.5048","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.5048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mirlab.org/conference_papers/International_Conference/ICSLP 2004/contents/TuC_pdf/TuC2105o/TuC2105o.1_p252.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W106548914","https://openalex.org/W196142488","https://openalex.org/W1493012537","https://openalex.org/W1591300715","https://openalex.org/W1900033650","https://openalex.org/W1967269193","https://openalex.org/W2049633694","https://openalex.org/W2116123504","https://openalex.org/W2122899485","https://openalex.org/W2141262306","https://openalex.org/W2172085063"],"related_works":["https://openalex.org/W2158491338","https://openalex.org/W2807901368","https://openalex.org/W2133733652","https://openalex.org/W2072658171","https://openalex.org/W2606392311","https://openalex.org/W2320042380","https://openalex.org/W4385956668","https://openalex.org/W2900895161","https://openalex.org/W4380838366","https://openalex.org/W2539884462"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3,34],"comparing":[4],"the":[5,10,35,46,53,69],"Bayesian":[6,12,20],"Information":[7],"Criterion":[8],"and":[9,31,67,86],"Variational":[11,19],"approach":[13],"for":[14],"scoring":[15],"unknown":[16],"multi-ple":[17],"speakerclustering.":[18],"learning":[21,30,76],"is":[22,56],"a":[23,50,58],"very":[24],"effec-tive":[25],"method":[26],"that":[27],"allows":[28],"parameter":[29],"model":[32],"selection":[33],"same":[36],"time.":[37],"The":[38],"application":[39],"we":[40],"consider":[41],"here":[42],"consists":[43],"in":[44,49,80],"finding":[45],"optimal":[47],"clustering":[48],"conversation":[51],"where":[52],"speaker":[54,88],"number":[55],"not":[57],"priori":[59],"known.":[60],"Experiments":[61],"are":[62],"run":[63],"on":[64,68],"synthetic":[65],"data":[66,71],"evaluation":[70],"set":[72],"NIST-1996":[73],"HUB-4.":[74],"VB":[75],"achieves":[77],"higher":[78],"score":[79],"terms":[81],"of":[82],"average":[83,87],"cluster":[84],"purity":[85,89],"compared":[90],"to":[91],"ML/BIC.":[92],"1.":[93]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
