{"id":"https://openalex.org/W3146072905","doi":"https://doi.org/10.1109/asru.2009.5373395","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/W3146072905","doi":"https://doi.org/10.1109/asru.2009.5373395","mag":"3146072905"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2009.5373395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373395","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 & 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":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hung-Shin Lee","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053222355","display_name":"Berlin Chen","orcid":"https://orcid.org/0000-0003-0693-8932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berlin Chen","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048338308"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7049,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73271546,"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":"76","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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":0.998199999332428,"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":0.8097656965255737},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7776390910148621},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7074719667434692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6295297145843506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902342796325684},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5416167378425598},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5275803804397583},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5193537473678589},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42562949657440186},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41557246446609497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3361729383468628}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8097656965255737},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7776390910148621},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7074719667434692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6295297145843506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902342796325684},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5416167378425598},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5275803804397583},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5193537473678589},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42562949657440186},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41557246446609497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3361729383468628},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2009.5373395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2009.5373395","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 & Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W61410555","https://openalex.org/W70249898","https://openalex.org/W139408406","https://openalex.org/W202767486","https://openalex.org/W2001792610","https://openalex.org/W2080400971","https://openalex.org/W2105667909","https://openalex.org/W2115353073","https://openalex.org/W2125610823","https://openalex.org/W2143908786","https://openalex.org/W2152051032","https://openalex.org/W6602476235","https://openalex.org/W6676923526"],"related_works":["https://openalex.org/W2114217318","https://openalex.org/W2794812819","https://openalex.org/W2120164251","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W3036945320","https://openalex.org/W2370263288","https://openalex.org/W2169311637","https://openalex.org/W4367850163","https://openalex.org/W2395040056"],"abstract_inverted_index":{"Linear":[0],"Discriminant":[1],"Analysis":[2],"(LDA)":[3],"has":[4],"been":[5],"established":[6],"as":[7],"an":[8,30],"important":[9],"means":[10],"for":[11,56,84,115],"dimension":[12],"reduction":[13],"and":[14,33,37,94],"decorrelation":[15],"in":[16,43,70,75],"speech":[17],"recognition.":[18],"The":[19],"major":[20],"points":[21],"of":[22,24,59,96],"criticism":[23],"LDA":[25],"are":[26,82,120],"that":[27,38],"it":[28],"uses":[29],"ad":[31],"hoc":[32],"non-discriminative":[34],"training":[35,54],"criterion,":[36],"the":[39,57,66,71,92,97],"estimation":[40,58],"is":[41,68],"performed":[42],"a":[44,51,76,85,116],"separate":[45],"preprocessing":[46],"step.":[47],"This":[48],"paper":[49],"presents":[50],"new":[52],"discriminative":[53],"method":[55],"(projecting)":[60],"linear":[61],"feature":[62],"transforms.":[63],"More":[64],"precisely,":[65],"problem":[67],"formulated":[69],"loglinear":[72],"framework,":[73],"resulting":[74],"convex":[77],"optimization":[78],"problem.":[79],"Experimental":[80],"results":[81],"provided":[83],"digit":[86],"string":[87],"recognition":[88],"task":[89,119],"to":[90],"compare":[91],"performance":[93],"robustness":[95],"proposed":[98],"approach":[99],"(in":[100],"combination":[101],"with":[102,109],"ML":[103],"or":[104],"MMI":[105],"optimized":[106],"acoustic":[107],"models)":[108],"conventional":[110],"LDA.":[111],"Also,":[112],"first":[113],"experiments":[114],"large":[117],"vocabulary":[118],"presented.":[121]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}