{"id":"https://openalex.org/W2407711378","doi":"https://doi.org/10.21437/interspeech.2014-231","title":"Sequential maximum mutual information linear discriminant analysis for speech recognition","display_name":"Sequential maximum mutual information linear discriminant analysis for speech recognition","publication_year":2014,"publication_date":"2014-09-14","ids":{"openalex":"https://openalex.org/W2407711378","doi":"https://doi.org/10.21437/interspeech.2014-231","mag":"2407711378"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2014-231","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","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/A5022767796","display_name":"Yuuki Tachioka","orcid":"https://orcid.org/0009-0002-0587-2943"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuuki Tachioka","raw_affiliation_strings":["MITSUBISHI ELECTRIC CORPORATION"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MITSUBISHI ELECTRIC CORPORATION","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001291873","display_name":"Shinji Watanabe","orcid":"https://orcid.org/0000-0002-5970-8631"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shinji Watanabe","raw_affiliation_strings":["Mitsubishi Electric Research USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076453358","display_name":"Jonathan Le Roux","orcid":"https://orcid.org/0000-0002-3451-171X"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Le Roux","raw_affiliation_strings":["Mitsubishi Electric Research USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112763337","display_name":"John R. Hershey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Hershey","raw_affiliation_strings":["Mitsubishi Electric Research USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4229,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78213621,"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":"2415","last_page":"2419"},"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":0.9993000030517578,"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":0.9958999752998352,"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/discriminative-model","display_name":"Discriminative model","score":0.8585313558578491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7165871262550354},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6476798057556152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6344044208526611},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6050946712493896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5889830589294434},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5471562147140503},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5206966996192932},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5178490281105042},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5016911029815674}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8585313558578491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7165871262550354},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6476798057556152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344044208526611},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6050946712493896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5889830589294434},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5471562147140503},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5206966996192932},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5178490281105042},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5016911029815674},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2014-231","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.3729","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.3729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jonathanleroux.org/pdf/Tachioka2014Interspeech09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W159523117","https://openalex.org/W1524333225","https://openalex.org/W1877570817","https://openalex.org/W2005638789","https://openalex.org/W2080400971","https://openalex.org/W2101045344","https://openalex.org/W2104448323","https://openalex.org/W2106554350","https://openalex.org/W2124629003","https://openalex.org/W2125234026","https://openalex.org/W2132215870","https://openalex.org/W2134218976","https://openalex.org/W2135346934","https://openalex.org/W2150907703","https://openalex.org/W2152051032","https://openalex.org/W2162959225","https://openalex.org/W2328757576","https://openalex.org/W2411442511"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W2378903222"],"abstract_inverted_index":{"Linear":[0],"discriminant":[1],"analysis":[2],"(LDA)":[3],"is":[4,59],"a":[5,47,53,66,97,114,128,199],"simple":[6,54,182],"and":[7,155,183],"effective":[8],"feature":[9,103],"transformation":[10,118,194,215],"technique":[11],"that":[12,58],"aims":[13],"to":[14,25,127,134,170,202],"improve":[15],"discrim-inability":[16],"by":[17,197],"maximizing":[18],"the":[19,22,26,35,44,72,86,90,110,117,124,135,171,177,187],"ratio":[20],"of":[21,46,56,89,100,113,152],"between-class":[23],"variance":[24],"within-class":[27],"variance.":[28],"However,":[29],"LDA":[30,57,62,92,168],"does":[31],"not":[32],"explicitly":[33],"consider":[34],"sequential":[36,67,79,172],"discriminative":[37,68,102,173,192],"criterion":[38,69],"which":[39,75],"consists":[40],"in":[41,132,141,189],"directly":[42],"reducing":[43],"errors":[45],"speech":[48,149,157],"recognizer.":[49],"This":[50],"pa-per":[51],"proposes":[52],"extension":[55],"called":[60],"sequen-tial":[61],"(sLDA)":[63],"based":[64],"on":[65,145],"computed":[70],"from":[71,78,166],"Gaussian":[73],"statistics,":[74],"are":[76],"obtained":[77],"maximum":[80],"mutual":[81,207],"information":[82],"(MMI)":[83],"training.":[84,174],"Al-though":[85],"objective":[87],"function":[88],"proposed":[91,178],"can":[93,120],"be":[94,121],"re-garded":[95],"as":[96,123],"special":[98],"case":[99],"various":[101],"trans-formation":[104],"techniques":[105],"(for":[106],"example,":[107],"f-MPE":[108],"or":[109],"bottom":[111],"layer":[112],"neural":[115],"network),":[116],"matrix":[119],"ob-tained":[122],"closed-form":[125],"solution":[126],"generalized":[129],"eigenvalue":[130],"problem,":[131],"contrast":[133],"gradient-descent-based":[136],"optimization":[137],"methods":[138],"usually":[139],"used":[140],"these":[142],"techniques.":[143],"Experiments":[144],"large":[146],"vocabulary":[147],"continuous":[148],"recognition":[150,158],"(Corpus":[151],"Sponta-neous":[153],"Japanese)":[154],"noisy":[156],"task":[159],"(2nd":[160],"CHiME":[161],"challenge)":[162],"show":[163],"consistent":[164],"improvements":[165],"standard":[167],"due":[169],"In":[175],"addition,":[176],"method,":[179],"despite":[180],"its":[181],"fast":[184],"computation,":[185],"im-proved":[186],"performance":[188],"combination":[190],"with":[191],"fea-ture":[193],"(f-bMMI),":[195],"perhaps":[196],"providing":[198],"good":[200],"ini-tialization":[201],"f-bMMI.":[203],"Index":[204],"Terms:":[205],"Maximum":[206],"information,":[208],"linear":[209,214],"dis-criminant":[210],"analysis,":[211],"region":[212],"dependent":[213]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}