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On the Projection of PLLRs for Unbounded Feature Distributions in Spoken Language Recognition

contributor authorDiez, Mireia
contributor authorVarona, Amparo
contributor authorPenagarikano, Mike
contributor authorRodriguez-Fuentes, Luis Javier
contributor authorBordel, German
date accessioned2020-03-13T00:03:54Z
date available2020-03-13T00:03:54Z
date issued2014
identifier issn1070-9908
identifier other6817523.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1133104?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleOn the Projection of PLLRs for Unbounded Feature Distributions in Spoken Language Recognition
typeJournal Paper
contenttypeMetadata Only
identifier padid8314215
subject keywordsfeature extraction
subject keywordsmaximum likelihood estimation
subject keywordsmultidimensional systems
subject keywordsspeaker recognition
subject keywordsNIST LRE datasets
subject keywordsPLLR projection
subject keywordsacoustic-phonetic information
subject keywordslanguage recognition system
subject keywordsmultidimensional distribution
subject keywordsphone log-likelihood ratio
subject keywordsspeaker recognition
subject keywordsspoken language recognition
subject keywordsunbounded feature distributions
subject keywordsDecoding
subject keywordsMel frequency cepstral coefficient
subject keywordsNIST
subject keywordsPrincipal component analysis
subject keywordsVectors
subject keywordsFeature projection
subject keywordsi-vectors
subject keywordsphone log-likelihood ratios
subject keywordsspoken langua
identifier doi10.1109/LSP.2014.2324819
journal titleSignal Processing Letters, IEEE
journal volume21
journal issue9
filesize937240
citations0


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