{"id":"https://openalex.org/W1544473307","doi":"https://doi.org/10.1109/chinasip.2015.7230459","title":"PRISM: A statistical modeling framework for text-independent speaker verification","display_name":"PRISM: A statistical modeling framework for text-independent speaker verification","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1544473307","doi":"https://doi.org/10.1109/chinasip.2015.7230459","mag":"1544473307"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2015.7230459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2015.7230459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)","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/A5049944728","display_name":"Liang He","orcid":"https://orcid.org/0000-0003-4076-7479"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409741","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0003-0383-0934"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2058,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42059466,"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":"529","last_page":"533"},"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":0.9986000061035156,"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":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.6906564831733704},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6890431046485901},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.6097633838653564},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5763195753097534},{"id":"https://openalex.org/keywords/prism","display_name":"Prism","score":0.5710523724555969},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5544532537460327},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5267668962478638},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.49504461884498596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4613367021083832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42655229568481445},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37834715843200684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3724195957183838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906564831733704},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6890431046485901},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.6097633838653564},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5763195753097534},{"id":"https://openalex.org/C67666897","wikidata":"https://www.wikidata.org/wiki/Q165896","display_name":"Prism","level":2,"score":0.5710523724555969},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5544532537460327},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5267668962478638},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.49504461884498596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4613367021083832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42655229568481445},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37834715843200684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3724195957183838},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/chinasip.2015.7230459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2015.7230459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W90661335","https://openalex.org/W1573082642","https://openalex.org/W1970800467","https://openalex.org/W2002123483","https://openalex.org/W2017569779","https://openalex.org/W2041823554","https://openalex.org/W2052893217","https://openalex.org/W2095469431","https://openalex.org/W2106131881","https://openalex.org/W2128391065","https://openalex.org/W2129905273","https://openalex.org/W2134262590","https://openalex.org/W2144760012","https://openalex.org/W2148554390","https://openalex.org/W2150769028","https://openalex.org/W2166473218","https://openalex.org/W2395750323","https://openalex.org/W4233014035","https://openalex.org/W6603716723","https://openalex.org/W6654774938","https://openalex.org/W6684116732"],"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],"presents":[2],"a":[3,50],"statistical":[4],"modeling":[5],"framework":[6,69],"termed":[7],"as":[8],"PRISM":[9,56,68],"for":[10],"text-independent":[11],"speaker":[12],"verification.":[13],"We":[14,58],"decompose":[15],"the":[16,55,67,78,87,90],"verification":[17,51],"task":[18,80],"into":[19,66],"three":[20],"subtasks:":[21],"PRobability":[22],"density":[23],"estimation,":[24,39],"Information":[25],"metric":[26,42],"and":[27,43,70],"Subspace/Manifold":[28],"learning":[29],"(PRISM).":[30],"Subsequently,":[31],"we":[32],"take":[33],"advantages":[34],"of":[35,81,89],"variational":[36],"maximum":[37],"likelihood":[38],"Fisher":[40],"information":[41],"discriminant":[44],"locality":[45],"preserving":[46],"projection":[47],"to":[48],"realize":[49],"system":[52],"based":[53],"on":[54,77],"framework.":[57,92],"also":[59],"demonstrate":[60],"that":[61],"many":[62],"current":[63],"algorithms":[64],"fall":[65],"forecast":[71],"several":[72],"novel":[73],"algorithms.":[74],"Experimental":[75],"results":[76],"telephone-telephone-English":[79],"NIST":[82],"SRE":[83],"2008":[84],"further":[85],"prove":[86],"correctness":[88],"proposed":[91]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}