Comparative evaluation of maximum a Posteriori vector quantization and gaussian mixture models in speaker verification

Pattern Recognition Letters

Volumn 30, Issue 4, 2009, Pages 341-347

  Kinnunen, Tomi ^a   Saastamoinen, Juhani ^a   Hautamäki, Ville ^a   Vinni, Mikko ^a   Fränti, Pasi ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Gaussian mixture model (GMM); MFCC features; Speaker verification; Support vector machine (SVM); Universal background model (UBM); Vector quantization (VQ)

Indexed keywords

BLIND SOURCE SEPARATION; CLASSIFIERS; COMMUNICATION CHANNELS (INFORMATION THEORY); IMAGE RETRIEVAL; IMAGE SEGMENTATION; LEARNING SYSTEMS; MAGNETOSTRICTIVE DEVICES; MIXTURES; OBJECT RECOGNITION; SPEECH RECOGNITION; SUPPORT VECTOR MACHINES; TRELLIS CODES; VECTORS;

GAUSSIAN MIXTURE MODEL (GMM); MFCC FEATURES; SPEAKER VERIFICATION; SUPPORT VECTOR MACHINE (SVM); UNIVERSAL BACKGROUND MODEL (UBM);

VECTOR QUANTIZATION;

EID: 58349105008     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.11.007     Document Type: Article

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