{"id":"https://openalex.org/W2139056248","doi":"https://doi.org/10.1109/icassp.2009.4960516","title":"Joint map adaptation of feature transformation and Gaussian Mixture Model for speaker recognition","display_name":"Joint map adaptation of feature transformation and Gaussian Mixture Model for speaker recognition","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2139056248","doi":"https://doi.org/10.1109/icassp.2009.4960516","mag":"2139056248"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5100892222","display_name":"Donglai Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Donglai Zhu","raw_affiliation_strings":["Institute of Infocomm Research-Agency for Science, Singapore","Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632"],"affiliations":[{"raw_affiliation_string":"Institute of Infocomm Research-Agency for Science, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749735","display_name":"Bin Ma","orcid":"https://orcid.org/0000-0002-9223-9654"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bin Ma","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research, A\u2217STAR 1 Fusionopolis Way, Singapore 138632","institution_ids":["https://openalex.org/I3005327000","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100892222"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":2.6171,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91004674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"4045","last_page":"4048"},"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":0.9980999827384949,"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":0.9959999918937683,"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/mixture-model","display_name":"Mixture model","score":0.8116873502731323},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7436233758926392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6859697699546814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6718716621398926},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6311270594596863},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5666980147361755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5635177493095398},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5467570424079895},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5424516797065735},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.510008692741394},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.504355788230896},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.49662548303604126},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4739522933959961},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.42149996757507324},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.41852471232414246},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4169740080833435},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4167410135269165},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41665664315223694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22036325931549072},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12817621231079102},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06263282895088196}],"concepts":[{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.8116873502731323},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7436233758926392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6859697699546814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6718716621398926},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6311270594596863},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5666980147361755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5635177493095398},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5467570424079895},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5424516797065735},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.510008692741394},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.504355788230896},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.49662548303604126},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4739522933959961},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.42149996757507324},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.41852471232414246},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4169740080833435},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4167410135269165},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41665664315223694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22036325931549072},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12817621231079102},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06263282895088196},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4960516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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":19,"referenced_works":["https://openalex.org/W50103464","https://openalex.org/W1494853941","https://openalex.org/W1553271421","https://openalex.org/W1599512239","https://openalex.org/W2002342963","https://openalex.org/W2043078029","https://openalex.org/W2078953162","https://openalex.org/W2081976287","https://openalex.org/W2082474452","https://openalex.org/W2100969003","https://openalex.org/W2127469750","https://openalex.org/W2133941891","https://openalex.org/W2138084857","https://openalex.org/W2144760012","https://openalex.org/W2148554390","https://openalex.org/W2404410371","https://openalex.org/W3145606929","https://openalex.org/W6602034429","https://openalex.org/W6633168720"],"related_works":["https://openalex.org/W1197719229","https://openalex.org/W2381158726","https://openalex.org/W1992796048","https://openalex.org/W2129090883","https://openalex.org/W1516392727","https://openalex.org/W2379906719","https://openalex.org/W2412815366","https://openalex.org/W2181956362","https://openalex.org/W2136153680","https://openalex.org/W2972577568"],"abstract_inverted_index":{"This":[0],"paper":[1],"extends":[2],"our":[3],"previous":[4],"work":[5],"on":[6,103],"feature":[7,22],"transformation-based":[8],"support":[9],"vector":[10],"machines":[11],"for":[12],"speaker":[13,81,94],"recognition":[14],"by":[15],"proposing":[16],"a":[17,63,89,93],"joint":[18,119],"MAP":[19,120],"adaptation":[20,121],"of":[21,41,80,117],"transformation":[23],"(FT)":[24],"and":[25,43,97],"Gaussian":[26],"Mixture":[27],"Models":[28],"(GMM)":[29],"parameters.":[30,99],"In":[31,58],"the":[32,35,50,54,72,78,84,115,118],"new":[33],"approach,":[34],"prior":[36,65,85],"probability":[37],"density":[38],"functions":[39],"(PDFs)":[40],"FT":[42,96],"GMM":[44,66,98],"parameters":[45],"are":[46],"jointly":[47],"estimated":[48],"using":[49,95],"background":[51],"data":[52,110],"under":[53],"maximum":[55],"likelihood":[56],"criteria.":[57],"this":[59],"way,":[60],"we":[61,87],"derive":[62],"generic":[64],"that":[67],"is":[68],"more":[69],"compact":[70],"than":[71],"Universal":[73],"Background":[74],"Model":[75],"due":[76],"to":[77,91],"reduction":[79],"variations.":[82],"With":[83],"PDFs,":[86],"construct":[88],"supervector":[90],"characterize":[92],"We":[100],"conducted":[101],"experiments":[102],"NIST":[104],"2006":[105],"Speaker":[106],"Recognition":[107],"Evaluation":[108],"(SRE06)":[109],"set.":[111],"The":[112],"results":[113],"validated":[114],"effectiveness":[116],"approach.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
