{"id":"https://openalex.org/W2109066053","doi":"https://doi.org/10.1109/asru.2009.5373392","title":"Generalized likelihood ratio discriminant analysis","display_name":"Generalized likelihood ratio discriminant analysis","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2109066053","doi":"https://doi.org/10.1109/asru.2009.5373392","mag":"2109066053"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2009.5373392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding","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/A5048338308","display_name":"Hung-Shin Lee","orcid":"https://orcid.org/0000-0001-7044-9434"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hung-Shin Lee","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan","Department of Electrical Engineering, National Taiwan University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan","institution_ids":["https://openalex.org/I134161618"]},{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053222355","display_name":"Berlin Chen","orcid":"https://orcid.org/0000-0003-0693-8932"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Berlin Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan Normal University, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048338308"],"corresponding_institution_ids":["https://openalex.org/I134161618","https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.7049,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68833717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9962000250816345,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8215119242668152},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7473318576812744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6830196380615234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.663086473941803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6280855536460876},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.543721079826355},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5003633499145508},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4766741096973419},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.46441739797592163},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.44105860590934753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43715110421180725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3121578097343445},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19010964035987854}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8215119242668152},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7473318576812744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6830196380615234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663086473941803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280855536460876},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.543721079826355},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5003633499145508},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4766741096973419},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.46441739797592163},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.44105860590934753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43715110421180725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3121578097343445},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19010964035987854},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2009.5373392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Workshop on Automatic Speech Recognition &amp; Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W8389927","https://openalex.org/W61410555","https://openalex.org/W70249898","https://openalex.org/W129152403","https://openalex.org/W139408406","https://openalex.org/W202767486","https://openalex.org/W204572845","https://openalex.org/W1770825568","https://openalex.org/W1973205575","https://openalex.org/W2001792610","https://openalex.org/W2052570068","https://openalex.org/W2080400971","https://openalex.org/W2085371741","https://openalex.org/W2088169690","https://openalex.org/W2104448323","https://openalex.org/W2105667909","https://openalex.org/W2115353073","https://openalex.org/W2117812871","https://openalex.org/W2124629003","https://openalex.org/W2125610823","https://openalex.org/W2126892389","https://openalex.org/W2133651588","https://openalex.org/W2135346934","https://openalex.org/W2139009147","https://openalex.org/W2143908786","https://openalex.org/W2152051032","https://openalex.org/W2160189279","https://openalex.org/W2161413295","https://openalex.org/W2165932888","https://openalex.org/W2168277387","https://openalex.org/W4255060158","https://openalex.org/W6680708862","https://openalex.org/W6683321348"],"related_works":["https://openalex.org/W2141981133","https://openalex.org/W2386228546","https://openalex.org/W2086055175","https://openalex.org/W2365801610","https://openalex.org/W2388048830","https://openalex.org/W2150796457","https://openalex.org/W2016459271","https://openalex.org/W2566759662","https://openalex.org/W2788610776","https://openalex.org/W3145966574"],"abstract_inverted_index":{"In":[0,39],"the":[1,10,19,57,60,76,82,92,102,162],"past":[2],"several":[3],"decades,":[4],"classifier-independent":[5],"front-end":[6],"feature":[7,47,72],"extraction,":[8],"where":[9],"derivation":[11],"of":[12,59,125],"acoustic":[13],"features":[14],"is":[15],"lightly":[16],"associated":[17],"with":[18],"back-end":[20],"model":[21],"training":[22],"or":[23],"classification,":[24],"has":[25],"been":[26],"prominently":[27],"used":[28],"in":[29],"various":[30],"pattern":[31],"recognition":[32,37,142,167],"tasks,":[33],"including":[34],"automatic":[35],"speech":[36,166],"(ASR).":[38],"this":[40],"paper,":[41],"we":[42],"present":[43],"a":[44,69],"novel":[45],"discriminative":[46],"transformation,":[48],"named":[49],"generalized":[50],"likelihood":[51,61],"ratio":[52,62],"discriminant":[53,105,115],"analysis":[54,106,116],"(GLRDA),":[55],"on":[56,95],"basis":[58],"test":[63],"(LRT).":[64],"It":[65],"attempts":[66],"to":[67,87],"seek":[68],"lower":[70],"dimensional":[71],"subspace":[73],"by":[74,81],"making":[75],"most":[77],"confusing":[78],"situation,":[79],"described":[80],"null":[83],"hypothesis,":[84],"as":[85,89,121],"unlikely":[86],"happen":[88],"possible":[90],"without":[91],"homoscedastic":[93],"assumption":[94],"class":[96,131],"distributions.":[97],"We":[98],"also":[99],"show":[100],"that":[101,147],"classical":[103],"linear":[104,114],"(LDA)":[107],"and":[108,149,159],"its":[109,150],"well-known":[110],"extension":[111],"-":[112],"heteroscedastic":[113],"(HLDA)":[117],"can":[118,134,152],"be":[119,135],"regarded":[120],"two":[122],"special":[123],"cases":[124],"our":[126],"proposed":[127],"method.":[128],"The":[129],"empirical":[130],"confusion":[132],"information":[133],"further":[136],"incorporated":[137],"into":[138],"GLRDA":[139,148],"for":[140,161],"better":[141],"performance.":[143],"Experimental":[144],"results":[145],"demonstrate":[146],"variant":[151],"yield":[153],"moderate":[154],"performance":[155],"improvements":[156],"over":[157],"HLDA":[158],"LDA":[160],"large":[163],"vocabulary":[164],"continuous":[165],"(LVCSR)":[168],"task.":[169]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
